diff --git a/eggs/dconfNixMain/user b/eggs/dconfNixMain/user
index bc50236..58a51a8 100644
Binary files a/eggs/dconfNixMain/user and b/eggs/dconfNixMain/user differ
diff --git a/eggs/hypr/scripts/workspace_manager.sh b/eggs/hypr/scripts/workspace_manager.sh
index 37ee7e3..f3b884d 100755
--- a/eggs/hypr/scripts/workspace_manager.sh
+++ b/eggs/hypr/scripts/workspace_manager.sh
@@ -4,6 +4,9 @@
 # $1: destination
 # $2: mode
 
+
+# TODO: check if script is running, if so, exit
+
 WORKSPACES=4
 
 function confirm_valid_destination() {
diff --git a/eggs/libreoffice/4/user/backup/protokollvorlage_pdf_template.odt.bak b/eggs/libreoffice/4/user/backup/protokollvorlage_pdf_template.odt.bak
index d6592b8..378b47e 100644
Binary files a/eggs/libreoffice/4/user/backup/protokollvorlage_pdf_template.odt.bak and b/eggs/libreoffice/4/user/backup/protokollvorlage_pdf_template.odt.bak differ
diff --git a/eggs/libreoffice/4/user/backup/satzungsaenderung_abwahlen.odt.bak b/eggs/libreoffice/4/user/backup/satzungsaenderung_abwahlen.odt.bak
new file mode 100644
index 0000000..d482b21
Binary files /dev/null and b/eggs/libreoffice/4/user/backup/satzungsaenderung_abwahlen.odt.bak differ
diff --git a/eggs/libreoffice/4/user/backup/satzungsaenderung_kassenpruefer.odt.bak b/eggs/libreoffice/4/user/backup/satzungsaenderung_kassenpruefer.odt.bak
new file mode 100644
index 0000000..cf659d1
Binary files /dev/null and b/eggs/libreoffice/4/user/backup/satzungsaenderung_kassenpruefer.odt.bak differ
diff --git a/eggs/libreoffice/4/user/backup/satzungsaenderung_koordination.odt.bak b/eggs/libreoffice/4/user/backup/satzungsaenderung_koordination.odt.bak
new file mode 100644
index 0000000..b24dd4e
Binary files /dev/null and b/eggs/libreoffice/4/user/backup/satzungsaenderung_koordination.odt.bak differ
diff --git a/eggs/libreoffice/4/user/backup/satzungsaenderung_landesschiedskommission.odt.bak b/eggs/libreoffice/4/user/backup/satzungsaenderung_landesschiedskommission.odt.bak
new file mode 100644
index 0000000..81ee877
Binary files /dev/null and b/eggs/libreoffice/4/user/backup/satzungsaenderung_landesschiedskommission.odt.bak differ
diff --git a/eggs/libreoffice/4/user/backup/satzungsaenderung_rechtschreibung.odt.bak b/eggs/libreoffice/4/user/backup/satzungsaenderung_rechtschreibung.odt.bak
new file mode 100644
index 0000000..7ddcf29
Binary files /dev/null and b/eggs/libreoffice/4/user/backup/satzungsaenderung_rechtschreibung.odt.bak differ
diff --git a/eggs/libreoffice/4/user/backup/werwolf.odt.bak b/eggs/libreoffice/4/user/backup/werwolf.odt.bak
new file mode 100644
index 0000000..47de5b4
Binary files /dev/null and b/eggs/libreoffice/4/user/backup/werwolf.odt.bak differ
diff --git a/eggs/libreoffice/4/user/backup/zwischenabrechnung01.odt.bak b/eggs/libreoffice/4/user/backup/zwischenabrechnung01.odt.bak
new file mode 100644
index 0000000..3afb737
Binary files /dev/null and b/eggs/libreoffice/4/user/backup/zwischenabrechnung01.odt.bak differ
diff --git a/eggs/libreoffice/4/user/config/fontnameboxmruentries b/eggs/libreoffice/4/user/config/fontnameboxmruentries
index 0d2c6f0..3ac78ee 100755
--- a/eggs/libreoffice/4/user/config/fontnameboxmruentries
+++ b/eggs/libreoffice/4/user/config/fontnameboxmruentries
@@ -1,2 +1,2 @@
-Gilroy Medium;Gilroy Bold;Gilroy Light;DejaVu Sans Condensed;DejaVu Sans Mono
+Gilroy Bold;Gilroy Light;DejaVu Sans Condensed;DejaVu Sans Mono;Gilroy Medium
 
diff --git a/eggs/libreoffice/4/user/gallery/sg30.sdv b/eggs/libreoffice/4/user/gallery/sg30.sdv
index 4449591..fc17dd9 100644
Binary files a/eggs/libreoffice/4/user/gallery/sg30.sdv and b/eggs/libreoffice/4/user/gallery/sg30.sdv differ
diff --git a/eggs/libreoffice/4/user/pack/config/fontnameboxmruentries.pack b/eggs/libreoffice/4/user/pack/config/fontnameboxmruentries.pack
index eaddc75..20dd920 100644
Binary files a/eggs/libreoffice/4/user/pack/config/fontnameboxmruentries.pack and b/eggs/libreoffice/4/user/pack/config/fontnameboxmruentries.pack differ
diff --git a/eggs/libreoffice/4/user/pack/registrymodifications.pack b/eggs/libreoffice/4/user/pack/registrymodifications.pack
index 2dc0b5e..36d4bd1 100644
Binary files a/eggs/libreoffice/4/user/pack/registrymodifications.pack and b/eggs/libreoffice/4/user/pack/registrymodifications.pack differ
diff --git a/eggs/libreoffice/4/user/registrymodifications.xcu b/eggs/libreoffice/4/user/registrymodifications.xcu
index a6d608b..48aeea5 100644
--- a/eggs/libreoffice/4/user/registrymodifications.xcu
+++ b/eggs/libreoffice/4/user/registrymodifications.xcu
@@ -28,9 +28,9 @@
 <item oor:path="/org.openoffice.Office.Common/Misc/FilePickerLastDirectory"><node oor:name="ImpressSaveAs" oor:op="replace"><prop oor:name="LastPath" oor:op="fuse"><value>file:///mnt/DT01ACA3</value></prop></node></item>
 <item oor:path="/org.openoffice.Office.Common/Misc/FilePickerLastDirectory"><node oor:name="InsertDoc" oor:op="replace"><prop oor:name="LastPath" oor:op="fuse"><value>file:///home/someone/Documents/jan</value></prop></node></item>
 <item oor:path="/org.openoffice.Office.Common/Misc/FilePickerLastDirectory"><node oor:name="InsertMedia" oor:op="replace"><prop oor:name="LastPath" oor:op="fuse"><value>file:///home/someone/Nextcloud/Office/Schule/praktikum/medien</value></prop></node></item>
-<item oor:path="/org.openoffice.Office.Common/Misc/FilePickerLastDirectory"><node oor:name="WriterExport" oor:op="replace"><prop oor:name="LastPath" oor:op="fuse"><value>file:///home/someone/Nextcloud/Office/DieLinke/solid/docs</value></prop></node></item>
+<item oor:path="/org.openoffice.Office.Common/Misc/FilePickerLastDirectory"><node oor:name="WriterExport" oor:op="replace"><prop oor:name="LastPath" oor:op="fuse"><value>file:///home/someone/Nextcloud/Office/DieLinke/solid/docs/templates</value></prop></node></item>
 <item oor:path="/org.openoffice.Office.Common/Misc/FilePickerLastDirectory"><node oor:name="WriterInsertImage" oor:op="replace"><prop oor:name="LastPath" oor:op="fuse"><value>file:///home/someone/Nextcloud/Office/DieLinke/solid/logo</value></prop></node></item>
-<item oor:path="/org.openoffice.Office.Common/Misc/FilePickerLastDirectory"><node oor:name="WriterSaveAs" oor:op="replace"><prop oor:name="LastPath" oor:op="fuse"><value>file:///home/someone/Documents</value></prop></node></item>
+<item oor:path="/org.openoffice.Office.Common/Misc/FilePickerLastDirectory"><node oor:name="WriterSaveAs" oor:op="replace"><prop oor:name="LastPath" oor:op="fuse"><value>file:///home/someone/Nextcloud/Office/DieLinke/solid/other</value></prop></node></item>
 <item oor:path="/org.openoffice.Office.Common/Misc"><prop oor:name="FilePickerLastService" oor:op="fuse"><value></value></prop></item>
 <item oor:path="/org.openoffice.Office.Common/Misc"><prop oor:name="FirstRun" oor:op="fuse"><value>false</value></prop></item>
 <item oor:path="/org.openoffice.Office.Common/Misc"><prop oor:name="LastTipOfTheDayID" oor:op="fuse"><value>1</value></prop></item>
@@ -53,128 +53,46 @@
 <item oor:path="/org.openoffice.Office.Common/UserColors"><prop oor:name="CustomColorName" oor:op="fuse"><value><it>Base</it><it>Text</it><it>Mauve</it><it>Marron</it><it>Green</it><it>Blue</it><it>Overlay 0</it><it>#232525</it><it>#232525a</it></value></prop></item>
 <item oor:path="/org.openoffice.Office.Common/UserColors"><prop oor:name="RecentColor" oor:op="fuse"><value>0 -1 12632256</value></prop></item>
 <item oor:path="/org.openoffice.Office.Common/UserColors"><prop oor:name="RecentColorName" oor:op="fuse"><value><it>Black</it><it>Automatic</it><it>#C0C0C0</it></value></prop></item>
-<<<<<<< HEAD
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iHiOZTKJpGv5AEF1PoKrqLoPuGKnzkBUFjza4zXg8hmkayLKCz+dHVVUc2yahx/F4fKnE38FxIJGIoWked7hgx0GWZQzDIJGIpeYMUPH5fJn9GkYSHNBSgU363ARBEAThi/SZSwD2NDnP0GmAd1++63fSk+ekp+J1m8EPTtaT/v7gOu5nTmrioKHbA8eRhny++/7cCX1s28Fx7A8dy8efh/vd9PJPOueP2u7Q9XdP7MWgP4IgCMKX6VO3ARg6M96uCdvgOkP//qjlu382uM2P2u+e19nT74PL9ry/dNAgScrHfHfP5+Eeh7QX5/zhZR+1jd3XE4QvUiY4TQXKiOBTEIalTxUADM3N6vFwZtAbQRD+PaX/T3v9wV2q7QRBGD4+VQAwNMc/7+hLyMopxrKMzHLbtkCSPmOL9nQVQPr3oX/vYe10UGLbX0lAMnT/Q6sU9nl7DI4D9PFnnto3kjvegGV96S/voQGh7bgDJn1l+08Ny/xlGty//aXv3733uANQ7eO9dxwHSZYxkzrrlj9FUo9nptEWBGH42OtugJNnH0lJ5QiMpJ2pw//cpFsjpAfc+6SU8HOW3p20299fyQF86TsXhgt3Sm+JWCTM5tUvo8cjIAIAQRh29joAeOZPt+HxBr+QnE+mXUFqQKCvKmcry8pX0iI/nTP7qopk3V4LyocaNH5Z+07f+69y/+mumF/N/t2urF/0vtPPmWXo6Imo6H4qCMPUXrcB2LJ2Gc4XUuS+d1UAn7fdi+D5Uve+hwMQuX/hC7RLG4AvIegQBOFfz161AQDw+rK+khyaIAifj917AYj/y4IwPH3qKoDBF8RgH/aPm7VPEIR/XZkqLhB9UAVhmBItfwRBEARhGPpMswHCYMnA0CLEoaPb7e22dh9Nb+g6+7rd9O9D/x66rd3X+6jlexq979Pa/Rz31r6c/ycdh/v357C9z+G4Pm77H/U87On3Dx0bH32vP89jTO9nX+/t0N8/6e89f/+j78EnLfs011IQhP88+xQApF/Ktm0Tj0VJxGPEohGMZBKAaDSS6Zv/SS+U9LYsyyQaDSPLMvF4DMNIZlrDp1tIx+PR1KRCn367yWQSyzSHDMVroyfixKIRkrqeWe7OA2B+KAjR9cQu37dtm0Q89qnPL3MssoyRTBKPRZFlGdu2M9/9uG0MPf9YNIJpfLrz/6htybJMMqkTHugnFotmenN8lu0l4jGSup6Zy+Hz8FHnnb5u6fPQ97DfofXahpEkFo2QiMd2acz6WY9t9/1YlkU0Es5sf2+C1PR5udNDu8+ZZZq7/G0Yxh6f/fQ10vW4OzeG9OFrkf5OMqnj2INzaaTnvgDczz6n6yMIwr8HpaCw4ua9/VL6heX1+qiprae0vJLS8koUVSMSGWDGzLn0h3oxDAM51a0L9pybk2UZyzTJKyhi6rRZNG3dwPiJMwgEgoRCPSiqioSEkdSZOGk/FEVloD+Eoqh73O7Qv03ToLi4HFXV0PU4IKEoGiNqRlFZVYvm8dLX14MkSRQUlqBpHvREfJeJiyoqa0CSSOoJHEBVVapHjELXE6kJguQPndPuDaokScJIJhlRO5qaunraWrejqtoug6+kX/SZ7aQGVkp3TTMMnekz5yJJEgP9fajqYPONoS9udxsfvhbpn7FYlMqqWqbPPJCC/CIikYHMTI1Dj/3jGoYNdpmT0fUEEyftR3ZOLt1dO1E1LVUi4M7hkO7SsKdrtPvzsPvvsixjJN3zlmWZ/r7e1AROCrquUzdyLEXFJe5+U5Mvpa9j+hktKiqlpq6egsISBvr7ME0DJTVL5Ieu+ZD7sPux7L5++jNFUbEsk+zsXKbtN4f2th0fWRq2p+2mj9Pj9VJQWEI8FsW2bYJZOeTmFRCLRbBti/z8Ynz+APF4bJdnLh3kNoyZSG5uPn09Xe5kVUO2ny4hKC2tJGkksW13AKGiolJk2Q2+S0oriQ8JkgRB+M+3TyUAsiwTi0WYfeBCrvveTzj6mNM47YxLGDN2Mj6fnxNPOWswB667uU3TNN3E3rJSORVpSC7OnYp37PipRMJhjj3hdEpKyujp6cK2LGRZwrRMjv36mRQUFmNZJpZlEh7od3Pxu+UA3cTfJBjM5qe/epjFhx9HPB4jqScYN2EqN9x8N0uWnsANN9/NsSecQaivm3Mu+C7jxk8jnnBfsKZpkJOTz89++RBHfu0UEokY8ViUY044g5/+8iHy8guxLBPHtgmH+9ETcdLzJKRnQYzFIiRSAUUyqVNTO5qa2tEM9If41jlXkZ2TRzQaQVFUjGSS8EAoEzThOJiGgWkYRCMDGIbBpCn7k5WVQzKpY1km8bh7TOmXfDpBjkYHsCwL00ju8lk8FuXQpSdw5XduZ/zE6ZzyzQs46OClxGMxZFkhHo8RCfenSjdkbNvCNA10PUEsFsEwkrskiIaRxEgmGTt+CoVFJViWCbZNNDxALBrGcaxUMGUTjQ5kpkAemqA6jp0q7XETwvSzYdvucsu2mDz1AFRVJTe/kDPOuoJweIBYNMJhRxzH6PrxdHd17DF3bNs2l1x5C6eefiHf/NYl3Pj9nxMIZrszPsoKhpG+5skh984kEh4gEhn40AiTsWiESHgAx7aJRAb45rcupbi0nP5QL/kFRUyYNINEIpaZEjv9LKRnkjRTz6yuJwZz6qmceGlZJRde9l9IkkQ0Gubci77L+RdfnwkILr7ie1RV12IYSUzTzBy3oigkEjGO+NpJVI+oo7u7I7P/9LWwTJO8vAIuu+ZWNM2dddI0DS66/HuUlldRUlrBxVfcnCkBEwRheNjrgYDSLxXbshjdMIEH7v8Vf/rDLygsKsWyTKbvdyBdnTsJD4QAqBnZQE3NKNaseo++3i7yCorw+/x0d3VgGAZVNXUM9IfY2dbMIw/+lsKiEmzbYSA8wJLDjmNj4yr6Q73k5RUgAW2t27FMk4LCEmYfuJDt2zaxY9tmfP4Adqp4U1FU4rF+Tjz52zRtbaSgoBhVUTEMg9ENE3jr9Re5/ZbLWXTYsXz73Kt48rE/k5OTS2vLNjTVnQbYMAwqq2vp6monKysX27KpqRvN9BkHsm7t+0TCblDjDwRZMGsBO9ub2bJpHR6vl9y8QgwjyaSp+xOLRdm0YTWBYBbr1qxgoL+PyVP3Z8y4SdSNGoMkybS2NFE9YhT1YybSuPYDurra8fn8ZOcXIkkSoxrG07huJU899mf6+nooKi7Dskwaxk5GUVTWrlqO5vEQi0YYVT+e4pJy1q1dQSCQRV9vdyaxKy2rZOlRJ3HzDRfQ1rKdvPxC/IEAPn+AWDTMhInTycsv4P0Vb5HUdQLBLFRVJT+/iILCYlqatxHq6yE9M2NZeTU93R28+tJThMP9KLKKJMvMmbcYyzLZ2LiaSHgAzetlzrwlxCIDrF29IjVttJtAqaqHgsISero7UVWN4pJyujrbUVWNvLxSenu7efrxv9DZ2c4RR59Cdc1IGsZOoq1lO15vkLa2ZhYdegw721vY2daM5vECbgKXX1CE1+fnlhsvpKuznZ/f8zDTps/i5ReexFCSlFdUUz9mIhvXr6azow3N4yE3r4D6hgk4jsPK99/CcWw3QUVi5gHz0Twe1q1ZQVFJORMnz2DTxrXEYxF6ujt56M/3UlhUhgSEU4FUbm4BqqrR1raDwsJiZs85hNaW7WzdsgGf3w+OgyzJ6IkEiqxgmSaVVbXUjWxgy+ZGbNtm/IRpyIrEqg/exXEcikvKBo+7s41gMBtV9dLT08WSw49j6+ZG+vq60TxeJMAwk5SVV5GIx+jv70XTPOTk5hMIBGnevpWZBxxEb08XsViE3Nz8zP8jQRD+s+11CUD6xa15vBQVl+ELBJl14EIaxk7CcRwqKmvoD/USCvVyxNdO5VtnX8nEyTO58rs/ICe3AICrr/8hmsfD1BmzOf+iG+gP9XLiqecwfb8DkRWF6hGjOHjhUcxbcBjX3PAjFFWloLAE23HY2d7C5Kn7c+W1t9MwdhIXX3EzE6fMHFI0KpNIxBg5agxjx0/l97/+CRVVNXi8PhzHobyimsb1K9H1OF6vj4H+ELl5+UiSTHdXu1uEDZimQW1dA6s+eBdVU1FVlUVLjmXjhjV0d+2kt6eLquo6vnvj/zBpykzOu/h65i04nJ7uTk4782Kuuf4upk6fzWVX38rU6bMZGAhx7sXXU1Yxgun7zSEYzGHm/vMpKiplv/0P4vKrb2XCxGlcff1dbrUDcMMtd3P2BdcyeeoBVI8YyXkX30AsGmbpUSfxX9//X6bPnMu5F13HIUuOprOjjUWHHcs5F1zLpCkzufGWn3PUMd8gHo+iKDK2ZRMIZFFQUETdyDHkFRSi6wn0RAIjqXPm2Vdy1LGnMXvuYi654mZ0PU7DmIn84Ee/5+jjTmPM2MlceOmNFJeUEQr1csDsgzn+pG/jOA6XXHkLsqJQVFzK9Tf/jP0OOIjFhx1P3cgxeH1+vnPDD5k+Yw4nn3YBRx5zKrFYJFPKkpuXz7kXXkc0GmbBwiO49Y57iYT7mX/IUhYsPJKsrGzOu/gGfL4Asw5ciKpozD94KQWFxRSXlnPwoiOZN/8wrrn+LvILizLVGYZhUFZezUB/H+2t28nNzUdWVLq6OtD1BHPmLeLCS29i7LgpXHntD6iqGYmuJzj08OMZP2Ea8w85gnMvvI5EIkEwmM13bvwx8w4+nAULj2D8pOlMnrI/ubmFTJ02i7KyKpYefTLTZ85l6vRZnHDyWUQjA4DDRZffRE5uHjU1o7j6+rsYM24qF1x6IzMPmJdpDyLJbhWTJMsYpsmB8xbx/ntvEI2EQYJ5Cw7jvXeW0dfbxdz5h+5y3BWVNWiaRmVVDQsWHsmcuYv5zo0/Ijs7L9V2RcY0TCqra+nu6siUHpWUVmCYBj3dHdTU1dPetiPTPkC0ARCE4WGfqgAsyyIYzCY3r4AZM+dyxrcv44BZC0jqOlXVdTRt2UD9mIksXHwUd//PTdx529X0drdz4EEL2bJpPW+89gIXXnoTRx59Cr+8+1aSeoLS0kqatm6gqqoWx7G5//d3c9N3z8VI6tSPmUR+QRGh3h4ATj/rMh558D7u+u9reOXFJzhk0dJMgz5ZlkjE4xx6xIk8/8yjrHh3GaqikpdXgKIoFBeXM/vAhVx93V2c/u3LeOSh+ygprSQWixAOD6Ao7rCoElA9oo7G9SuJRsLsP+dgsnPz2LJpHaZhMBAOcebZV/Dqy09z03Xn8tCf72XBwiPweLxUVdfxwjN/57abLuH1fz5LbV09fn8Avy9Aa8s2tjVt4v333uD7N17I9m2bOO2Mi/nl3bfxvevOZ92a95gzdxHBrByCwWzuu/dH3PH9K8jOziUacYvRR44ex5uvv8id37+Cxx/5AzW19RQVl7H0yBP58Z3XccetVxIZ6KevtwsrNWGMx+ulubmJRx+5nwsuuZGf/uJhDj/yREKhXuYdfDi1I0dz139fww9vv4aCwgJq6+qpqBjBzvZmfvSDa7n3V3eQSLhVNbIss+Tw43j0r/9HWXkVuq7T093JuRdfz7JXn+UHt1zOnbddyYr3Xufs869hY+Mq7rjtKu6794fMmbsAr9ePbdtulUUikarjLmLc+Klsa9pEUXEZU6YdwIvPP0ZtXQORyAAtzVvZsW0TTz72J+689SokSSI7O5e/3H8PN99wAd1dOymvGIFh6MiyhG1ZFBWVMXL0WK698cfc8eP/46XnH2f1B+9QXTOS4078Fvfd+0PuvO1q1q1ZzvyDDyM80M+Tj/+FZ5/+K08+9meqR9ShKiqnnn4R25s28P3/uog7br2KN5e9SEtzEys/eJvbb76M995dxogRI2lr2U5HewtFxeXE4zHmLTiccLifle+/zfmX3sA/nniQu/77ap5+/M8csvhIDMPAbR8ho+s6tmVSVFTC2PFTeeXFp/F6fZSXj6CmdiSvvPQ0I2pHc9wJZ2aOe/3a95gzdyGBYA5en5+//OGX3HTdefT2dDFl+izi8Siy7FazVFbV0ta63W1PYxhUVtYS6utB1xNUVMen4xUAACAASURBVNbQsmMrsqLgfMkTOwmC8NXZ6yoAkDANg4rKGvREnJuvvwDHtlA1jUAwi6LiMl558UlmzJyL1xfgtDMvwe8LkJ2Tx872Z/D7A7z95sucd9HlXH3pWWzdvJ7yyho0zUNr8zYWH348b7/xEqG+XnJyC4hEwhhGkvqGCezYtplRo8ZSUFjKQQsOZ/Fhx5GdncO7b/8zlXOXSCRi1I5qYN6CxYT6ejjptPMpLCohOyePgYEQ/kAWK99/i1gsyk/uup4Vy1/njLOuoGNnK0ZSRwpmZRo4FhaXsWXTOkpKyzn7vO/w4zu/y9Rps9mxfQsVlTUEAkGWvfqMey30BNFImKLiMhLxOO+89QolpRXk5RWysXENFRXuOn29XdSPmURvTxeax8OM/efSvGMrW7esp7Ssklg0Qjweo25kAyvff4vm7VvIyy+isrqOluYmglk5eDxeXnv1GfLyiygpq2Trlkam73cgWzZvoGNnC4WFJfT2dtHasj3T4M0tblf5+19/xz+efIhZcw7m7Auv5e03XmbChOkEAjlcfvWteL0+kkmL8EA/1bWjefbpR5BlGb/PT09PB8GsbObNP5Te3i7ef+8NTvrG+bS1bKOiYgR+f5AXn3uU8ooRWJbbBmPU6PEEgtncduev8fsC7Ni+nfRgy25OPUk43M/sAxfS1rYD0zCYPXch0Ug/G9avYsHCI2ltbsLn81NWXs2yfz5LTm4etXX1bGxczbatG6gaUYckyZlqBAewbIuaunpWvPu6G0iMbEBPJIhGw0yYNIOsrByOOuY0TjzlHPLyCnni0T8xbsJUzr3wOrq72gkEs4lGI/iDQaprRnHXbVdRUlKOpnno7u5g5OhxhPq68QeC5OUX4vMH6O7uwOPx4PV6KSgoZsEhR/Kbe+6gfsxESkoqmTlrPgcetISsrBzWrFqOpqo4OG4bF9MgEgkzc9Z8Qn3dbN2yHtu2mTt/CS3NO2jasoFjTziDYFb24HHnF/HIg7+lvmE877/3Bh0dreQXFBKJ9Lv1+an5NFTNQ3FxGatXvovX6yWRiFNZXUNb63a8Xh95+YW0tmxHU7XMvREE4T/fXgcAkpSqU6xwi1dNyyArOxfbtAgGPfj9Adrbmpl/yFL+8eRD/PkPvyAnNx9FUbBtm8LiUk478yJefvFFxk2cxrLXnqO4uJRkMkFfqIea2tH09HTS1dnGlKmzKCouY/PGtRx6+PG89uqzlJZX0rj2fW773qXk5OQCoHm8+P0BwCEei/G1Y09j7er3UTWNbE0jHo9RWFRKPB4lkYjyh/vuRpIlgoEs/IEgZeVVtLZsy+R8LMsiOycPj8fLzvZmBkJ9dHa0suLdZRxz/Bm88Ozfyc7KwQHCA/0MDISYOWsBmzaupaCwhGg0TDwWw+f3k19QxI5tm6kbNYaebrfdQ2VVDc8/8zci4YFMoz434Mlj0pT9ue/eHzF9vwNpbdmGoqg4jk1paaUbVJSUYZoG4YEQmsdDSWkF77z5CnWjxmIYBt2dOxk3YRqj68fz6F//D4/mHewVYRiYhklPpINXX36ak087H1XVyM3L5/7f383bb7xEIJCFqrkt6gsKitjZvgOPx0siHqO1eRujRo2juLScxx75Ax6Pl7LyalpatpGVlYNtmQz096F5YsiSzIja0URjYX70g++4XdpkGY/Hk5l8Jt0VzbFh7vwl3PuLO5g7/zAWLDyCRx64D0mSKSmt4N23XqWwqBRV1diwbhXJpE5ZxQg6OtqwbZu8vEIkWaK3JxUA2A6KolBeUc1Lzz/OS88/Tm5uAUcfexoPP/AbiovLefuNl/npj24kL68QWZFJ6jo3334Pj//9fh776z2ccfYNjB0/BVmSURSZUF8PCT1BIBBEkRWqqmt5791l9PV1M3L0WCzLIjwQcquVBkIcf9K3aW/bzppVy1ly+PE0bW3k9psvJxDMcp9ZzYPfH0wVu7st8U3TZP4hh/OX++/BMi0UVWXu/MX84bd3I8syRcVluxy3oipEwgOcc+F30RNxujt3Uj9mIlXVdTxw/z14fW5Ji6qo5OYVMNDfR09PJ1lZuUyeegB//N3PKS4tR5ZlujrbUFMNBAVBGB72IQBwW0rXN0ygt7cLM5lEBvSkzojaUXi9HsIDIdasWs5pZ15CLBomL7+QSHiAF59/jGuuu4u333yZZ596mP/99SO8+OxjVFSOIBLpx3EcKqtHUDeyga+feh6LDzuO55/5G7qeoLK6ht6eTsLhfk478zLOPPsKwgMh8guKeeLRP2HbFrFYlBn7z6V+zESuuuRUknqCUF8PHq+X+jHjURSZeCyCprmJnmVZmJZJTd1I3nnrFRRVhVSXw8qGCciyhK7rvPTC4zz3zN8oLCqltKyc7q4Odu5sxbYszjjrcizLYuTIMfzmV3dyzPHfpK+3k1gswsjRY8nJzaW9vZmlR3+djp2tACTicb523DfBgRXLX2fxocdyymnnM2HSDHa2t7B29XJOO/Ni/vHkQ0iyhN8foLKqim1NGxndMIF4PMJAf4i8/AKKS0rp7e1C1+Mce8LpXHb1rZRX1mA7Dt3dHZnEXJZlrvjO7XR0tNLeuoNDFh/N8ndeY1vTJjZtXMc3Tr+YnJw8RtTWs3H9KrZuWU92Tg6dHW6DPFXT2LJpHedffD0P/PEeGtevJCs7l5rakaxdvZyWlib8/iDnXHgdA6FeBsIhXnrucfREgvMvvoGVH7zNyJFjefH5x9jZ3oymeZFlt1tiTd1I+vv7WL3yXU494yJycvJZ/u4yiktKKSuvoL29GQC/P8C3z7uav//191RV1/DBircwTYOa2tEYeoJIZICcnDxM0+2WV1pWQWdHGxWVNWzasIaCwkIaxk5k+TuvcfV1d3Lyaecjywoej5eHH/g1sViEOfMWk5Obz+nfvpjHH/0LO3e2kojHOf+SG2naugFFUXnkofuIx2MccfQpRMID5OTmousxEok4hpHE4/Fy9LHf5IqLvk5uXiEbN6zh66eex1nnXUNnRxslZZU89difSSRiyJKCJMskYlHKK6rQNC+rPngHJKgbWY9pJlm18l3yC4pY+f5bXHrVrYPH7fXy0J/vpbKqlpLSCk445WwOXngUr//zeXbubCEnJw/HAcNIsvKDd/jWuVdTUlrBnHmL2dnWzNtvvcy8+Ydh2yahUC9+f0AEAIIwjOz1OACO46CkujQ1rltJLBpJ1R26Rcw7tm+lr7eb1uZtdHa2MWbcFGzb4oMVb+HxeOnv7+WlF55AlmVamrdhmgahvh6atmwgkYjR09XJe8tfZ/LU/Xnjted49aWnyM0toKuzg5bmrYT7Q6xfv5L6hokEs7JoXL+S9rYdqRIGi4KCYt5f/gY93R3k5OQRCGQR6u+lq7OD3p4uNm9aT19vF5Kk4Dg2mqbR19fLpg1rB7t9SaCoKtu2bqKrow1SDR89Xi+dHe1s27YRyzRZs/o96hsmYBhJ7v/d3cRjURRFZeOGNUQiA3i9PlpbtrOzvRnLtNi4YQ2mabBxw2q8Xj+6nmDNquU079jKpCkz2bRxDX994Df4/EHCA/1s2bwO27JQNQ893V1sb9qELMuZVt5er5/OznbaW3fQ3rqD1SvfxU7V+ScScd547Xm3pTlul7j+/l6KSyooKCjmzddf4IlH/0RWdg7r132AaRrUj5lIONzP6lXvYFkW7W3NtLXuQJZlZFkhFovQ1rKdV19+Ctuy0DQPA/0hmrZuIB6Lsmb1e4wcNRZ/IMi6NSsIhbpZ9cE7lJZXUVZWRfOOLWzeuDbVRc59niSgp6eTN157gVg8QjQa5q03XqanuwOfL0BPdyc7tm0hkYizeeNaCgtLaG9rpr2tmaYtG7AsE0VRU9ekJ1PloWkeOjraaNrSmGprEKdjZxvhcD/bt22meftmxoybjKp5WLd6Bb3dnWxsXE11zSgikTDP/uPvbNm0jng0wuqV71JRWUN+QTHr171PqK+bLZvWoaoayWSC1ubtbNu6iVCoB1mWCPX1svydf7J54xoCgSDRSJi1q99j1Ohx5OTls3njGlqat35oGt6eni5ef+05ero7UFWNnu5Olr36PH09Xfj8fjo72tjWtJGx46agah7Wrn6PgVAv/f19vP3mS0yaMpMV777OC8/+jUAgK5WYu9dizarlWKbBqPrxrFu9gof/8htURUFRVTZvWk93V7s7DTZiIkpBGC6kUQ377VXInx7VLpFqde/x+jLTA1uWSTKZTBXHQywWxTSSOLi5N0VRSMTjBLOyM4PSpAe0Sde7p/uK63ocTfMQCGTjOO7oe16fP9XvOU4iEUcCt+1B6mUnyzKJRBzHcfCnugVKsuwO4mM7yIo7DkHms1TCHo9H8fn87gtwyCBChmFkckXpPuvxeAx/agpVd2S/CCARCGaheTwkUsfv9fowTRNdTxAMZhGPx1AUFY/Hk6nv1TSNYDCHeDyKnoijKGrm2sRjUbw+X+aY4vEYgUAQw0hiWzY+vz8zpoLjOMw9aAk1dQ0M9PdywOxD+PWv7qCluQmP1weOW8wcj0VJGu5ojWpqX+l7Go2EsW0rdS5BZFlBT8TxB4K7jFYXjYYJBLIyjSXj8Sgejw9VVUnqOvF4FACvz4/P58cwDGLRMCAhyRJZWdm7jFY39Dnw+fzEYu730/coEXerUiRJQdcTxGNRgllZWJaFpmmpRFjHsix8vgCOY3/4XqWijVgsisfjRdM091roOkhuFZJ7bQ2i0TCKoqAobs8Pj8ebOocIDg5ejxd/IIhpmkQjA6iahqZ5sS0Lr88HSCTiUWzHIRDMcv9vpJ7BRDwGgKJqBINZQwZKGrwOiizj9QfAcYjF3DEifKmifPf/XZRkwj1uj8eLzx8kEY+CJKHrCdTUtt1Ju8hsO32P3YBJIZiVjSwrJJO6253VH8RxBkcJFAThP99eBwAwOATs0KFQdx/ZDMiMWObALkOQDv1892FL3WWkWi87mYR66BCrkiQjy+5LynacTACy+zF8eHQ8Z5fP3JeklNnXR53L7suGrjv0OuxpNLv0Nna/XlJqsJ/0Z+nt2o7j9g3fff0hxzL0d3eQoSSl5ZXM2G8utm3z9hsv0d21MzM2wtDBgIYen/sZmWsw9NyG3qtdz1/OjAMw9B4OvR5AZsje9Hfc/bjnJzm7zh8wdBtDv/9R13voMX3ae/WhY5Vl5NQx2LaTCRwy67gH96FzGPq8pe/h0AApvZ+h57D7tRn6XO/+7Ke/99HbGfLsp447fczpn7tvG8fBkSTk3a7Jnq6dIAjDxz4FAMK/jvRL3DDceQbSOXhN84iXuiAIgvCR9qEboPCvJDMwk+bBk+fDLdXYQy5QEARBEIYQAcB/gMFifftDywRBEARhT/ZpJEBBEARBEP69iQBAEARBEIYhEQAIgiAIwjAkAgBBEARBGIZEACAIgiAIw5AIAARBEARhGBIBgCAIgiAMQyIAEARBEIRhSAQAgiAIgjAMiQBAEARBEIYhEQAIgiAIwjAkAgBBEARBGIZEACAIgiAIw5AIAARBEARhGBIBgCAIgiAMQyIAEARBEIRhSAQAgiAIgjAMiQBAEARBEIYhEQAIgiAIwjAkAgBBEARBGIZEACAIgiAIw5AIAARBEARhGBIBgCAIgiAMQyIAEARBEIRhSAQAgiAIgjAMiQBAEARBEIYhEQAIgiAIwjAkAgBBEAThkzlf9QEInzf1qz4AQRAE4V+A44Ak4TgOkiQhSRIOIDmkfnewbAsJCaRP2pSDLMvIkgwOODggucvT28dJRRTp36VP2KjwuRMBgCAIwjDl4CA5bmIvyTKO42BjY1ompmkCYNkmjuOgyAp+b8BNzFNBwR63mUrg9aRO0tQBUBQFCRlFkVEVDQkZWZZxHHCw3UDjyzppIWOvAgAnFbHJqQclE8l9xLqZKPIT1t3Tdz/NPgRBEISPl36Hpt/fElLmneo4YFgGSVPHsW0kWSbgDVIcLKa4sAhFUhlfPQVZkcnx5zGxbjK2bSMh4UgS0m5Jd3ofqqKyvaOJpp2b8Xn8bG5rpDfWQzwao6O/g5gexbAMJElCUz14VI9bsoAblGSOdUiJhPD5k0Y17PepanaG3oRoNIzH40PTtD3enPQyy7JIJGIEAlmf+ka668gkElEkScbn82OabgSqquouD4YgCILw8RzHyST6kiRhWga6qWNbNpqqUZRTzOjSBirLaqgpGcGIojoKAsVk5+QgAR7NhyxJ2I6NYRqpbaW3vWvJ/dBgQ1EUFFkFRyJpJrAdi3g8RigaoqV3O80929nRvoOtOzfR2tuCnkwA4NE8aIonVR1hiwDgC/SpAwAYrL/Zf/bBbG/aSFvrDjRN2+O6hpGktKySw444kQf/dC+GkUSWP7nNoSRJxGJRjjj6ZCLhAV556Uny84uQJIl43A0KBEH4Yg2W4MniJfxvxc2Ru0X7uO9LCQzTQDcSOI5DXlY+NUW1TGvYj3FVE6kurqEot9RNrHEwTQPTtkhaFjI2NnamyH+w5OCTS3/d9AK3iiH12lYUCVXWUBQNSVZwHJuBWB8tnTto6tjMO41v0tSxhY5QB7Zt4VG9eDS3dMBxHBzJDWYcnEyJgbDv9roNgG3bnH3+1fzp9/9L05YNeDwet0hIkjANA0VVURQFy7LIzsljwSFLeeTB35FIxHAcxc3F26k6H0nGti0sy0RVVGRFQZIkkkmdKVMPoKeng789/DuOP+ks6kaO4Y7vX0FObn6miiB9POLFJAifn/QL3DSSJPU4Hq8PVfOKIODfgOO2tUOWZWzHJq7HsB2Lwpwi5k04iGkNB9BQMZaKgio8mhfLtjBMg7gexR5yfyVJQpElcCRUFBxZQko35ktt393frs/E0OpbSdq1saDjONg26FYSx9AzpbkexcfY6olMqJ3CofsdRW+0my2tW1jVtILlG9+gpbMFy7HxeXxosobt2IhGA5+PvQ4AJAki4QiGYQwWKZkGlmVRVFxKqK8X0zSRJRnLsohEIkQiAwQCWQAM9PfhDwSRgHgsgj8QJC+/lFBfN7FohKzsHDe3n4ij6zqSJBHwB8jKynGLlBQFy7JJxGNYtkUgkCWqBQThcyRJMqaRoKJ2MqMnLWDrumW0bFmBqvkQfcH+NaUTXFmWMS2TeCyGz+NjQs1EDp66mOn1MynLq0aVFZJGgqRpkjSTSI6bSEuSjCyl2gc4bv4aO9VyX3J7AqRz30Pt/s4d/FvKNO5Pp9aSBFImBy+5ndAdsG2LRDKO49hIkk2OL485Y+YyZ9w8eud/g8btq3n5g+d5f+sK+sK9+Dx+PKoHANsRGcDPYp96ASiKjKKoRKNhTjn9AgoKSlAUhWn7zWGgP8RPf3gjWzevTyXWJsef9C3mzj+MrKwcHv7Lr3nmqYcBOOaEM1hy+PFYloXH4+UPv/sZby17EVmSUGSFZFJndMMEDln8NWRZ5ie/eJDmHU38+M7vcujSEyguKefBP/0/vF4/4sUkCJ8PN/evUzFyMotPPpun74+zrfFNNI8/E2wLX50PNepLJfyGkSRhJMjPKmDu5INZPONwJlVNQVM9JA2duB6FdNUOsls9IAOOhCQNyVJLgz8lUm/WVHDwaUmpL7o/h2zXkdyAIlWI7+AgyRKS4zYqBAXbtonoEXAgoAaZM24Bs8fNZ1vPNl5e9TzLPniR5q4dKLKK3+MH3EAgfS1ESdWnt+/dACW3+D0QyObwI7/O/9x5Hff/7m4uv+Y2Tv/2pVx/9bcxkkmqqkdSXFzOzdefz7QZczjrvKt4791ldHa0sbO9hR/fcS3bmjYxfcaBnHPhd9m6aR1bt24AwOPxsb1pE28se4ERtaP56Q9vIBDIwrZtRtSMprauAcs0kXyDXUoFQfgcpKoAYmEwk7roo/0vZGgiJ0syuqGjGwlK88s4cdphHDL9UMoKR6DYkDAS6MlEKocvp9L4VJYeUql7KvEfWgXArlkqZ7dlEh8uhR+6TrpxYLo0QUp1Hdylz7/jIMHguAKO5JYyOKm2J5LjBgOJCCBRlTOCby88n2MOOJa317/OU28/zsbWRmRk/N4AIEoE9tZnGgfAcRw0zcM7b73CU088gKZ5eOxvf+ScC67F7w8gSRKRcD9/+sMv6O7ayQvPPsrXjjudETWj2dnezOv/fJZJU/Zn6VEnEY/FkGSJkaPH0bh+VSqqldD1BAP9IfREnJYdTeTnF5KdnctDf7kXWZbxB4IiVyIIn7dUoy9ZSRXriv9iX6ndc/2KrGCYBmE9THVJNUfMOob5ExZRnldJ3IiiJ+KAhCyBLCuphNglYeM46QZ9g834d0k4hyTSmUUwpNRBTtULkGqt7xbvO46UGifAxkkNNCul9pwOEDKVBEO6EmS6FKYaMUipYgdHdpBxBxMyTJ2EGcOvZbN0v+OYN2kRyze/zVNv/p0PtqxAlVX8Xj+2bbslC6I04BN9xoGA3AYf/f19+Lx+PB7vLjdXlhUikTCWZabq6m0MI4mmaeiJBFd9906mTDuANauXYySTeDzeVK+CwYdOltzBI2RZxuP1oWgajm1jGkZmP/DxrVIFQRD+naUTM1mScXDoj/ZTmFPANxafzuJpR1OQXYSRSBCK9YEsQ6rRHpKEZEtDElT3p5SJBj78zhw6Up+Nm2CnG975PD4cnEx3QLddQDqRlwAbVVLQND/xZAwb95gz+8ok9rucXKpgQhqsZpAAHORUNQEACiiOgmPbhGMDSIrMQRMWMWvMXN7Z8BoPvHI/jdvXE/RnoSpqZrwC4aPtUwDgOE6mYijdbz81fMOu6+G4xUCpgiHHcVuP6nqCyqpa9p81n6svPZXt2zdjGgb3/fF5FEVLjQ41OBgEkoRpmtiWmYpIJZLJBLZliRIAQRD+o6X78SuyQkyPIUsSi2YcyolzT2XUiDFE43HCsRAKCoqs4EiD30lnp+10I7w97oB0K79UzfxgTh/HwcLG7wniUVUaW9YhOwojSmsxLSNdck+6CkGWNUKxEK3dO5hUOw1N0YjpEbAtkORMdcBgjv+jhxV2u/6l4gaGDh08OBhdNB5GRmb+hMVMqZ3BY2/+lSff/ju94V6yAzm7DCYnMokftled6qXUhVcUFVmRkWUpNdiDgiS7uXQ51VJflmUUWUZWVHd56p8y5HOPx0NObj6qonHciWcyfuIEkkk9M4CEoijIikxSj1NWXok/kIUkyRiGzswDDuLQpSdgmoO9EQRBEP4TpBPgXXP9IepKR3Ljqf/Nd0++hRGltQyE+3FsE0VSkGQ3wZdtkJHd5D+VxjqS24ceBsflz0gnsKnqgHSbPcu2UBWNLF8WjTvW8sO/3sbl95zLq6tewO/xYTtDh/B1E1qPotHe08r1v7+Cm+6/ihdX/gNZkvB7A+76UjreSIcaH3/+6YyjxGBpb6bnAm4XRUmCgdgAmurjjEMv4M6zf8mCSYuIxsMYpoEsK7tkEkWGcdCnKgEYHNnPZiDUSyjUQ6ivh8hAD6FQD16vn1BfDx6Pl1BfT+bzUF9v6mcPiUQM23bo6+shFouwdvV7/OPJh7ni2ttpbW4iEh5g+btvE49HCfd3Ewr10NvbjZ5I8Nw//s7kabO566d/YMP6Vdx20yWc8s0LGTVqHA8/8GvKyqvFsMGCIPzbG/oOS4+/H0vGUCTl/7N31gFyVWcb/50r47OaTbJxIyFOFAjuLaV4sWLFCsUtuFtboDQt0haKQymU4ho0BA0Eibv7+ujV8/1xZWZDoNjXEth3/9jZnTv3nHvunfPa8z4vB21/OEfu9itS8SqyuVYQAk3RPL2N4nvILq4iENINlbp0AwpgJcyNh7g/PGWMEF643w/1u1JSmaxiZcMy7n/pTqbOeRPTNrEdGz2ilaK95fAQAa5wURUFTdH4aME0Ppz/PkN6DONXe5zImC0nkM234bouqCpBk6DPEwp/fk1KgQKBK2SYwnB9KIKiqOA6tLU10b22J5ccfg1jpo3jgdfvYUPrOpKxNIGR0qEjSqLW1Ha78j8d5Cl/m3RFFT/b93AMo0gyVcGIrbYhmUojgC2HjGTkVlvTs3d/8vkc/bcYQr/+W5IvZOnVewBDh49h+Mhx2LZJVXUtw0eOJ5/PoesR4vEkC+bNJJtpo7qmE8NHbk0kFkPTdIaNGEvvPgNobFjvPTCuy4BBQ4lG4+TzWeq792L5skUdN7ZDOuQ7kqAMsHu/kWwxckcWz3yXFQuno0c6eAD+P2XjULUiFFrzLQzuNpSLD72Svbc+ACklhllAqCoKAkX6hDyizEMOQ/IuUrpE9CiqTwxUfv7QE/dz84rEa8sjIBFL8/onL3HTY9fyybLpxCMJ4tEEhm0wss8YthowFsMyfAR/qeZf13Q2tK7j1U9eIqbHiOox1jSvZsrM18kXcwzvPZyIFsFybJSwzHCjMkTaVzpEtCiOY5fWBRlep5CEc4CAB8HCdmyG9B7JzkN3JZvPMHvFDC+q7EcDOlICnnwDIiDBqpXLUFUVTYvQ3LjBO5HmUQIbxQKrVy4lEolimgarVixF1yPhQq9etQJNU8NUwIxPp+G6LvFEkqbG9QihoOkRGjesBQSapqEoKpZlMm/uZyhCIRKN0trSSEZRwlxQh3RIh3TI5irlSkkRCo7rUDSL7DFub07+2VlURavI5lsRQkFVNByckgYM6HZ9v1y6nqcbjcSIR2MsWr0Ax3HpUdcT27HLR/XL7zwP28VFERoRTecvz97CE+/8k4gWpTJRheM6OH6tfQlBCEEFX+DCewq5lGpwXZdELIHrujz42t+ZtexTJv7icjpVdiFv5NBUzRs/zPUHU/KiH5l8hnXNCxnSdxhIQaGYwwmAhQGEQJYZMkhUVCSSbKGVVKqCs35xCX169eOBl++maBaIRRO4rvOjV/7wNVIAqqqRaWvlnw/9FaEo/k2T3ms8zxx8K1QIr7OU/zo8FjyEalm4XviWm5Ru+2PLz+ujQ4Oe1EHXKvwHNqp06wAAIABJREFUIZWuDOfZcVM7pEM6ZHOTUPkrCkWziK7qnHng+ew9dj+KZpFcMeuFuaGsVj4g6/O0oO2HuONalKgWYf7qBTzz3qM0ZRo5+8CLQ7Ic2LjKTyBcb8/VNMGkf1/Ps9OepipZDXhYALExcr9MgvJ+XB9vsJEnH6Dxq1K1fLrkEy6591yuPuZGOlV3wyhmUf10QNnZwnGrktU89fY/eeDVv3HAhMMYPWhrhKJTLLZ5ZEYIXOF6uIAy5kL8tIDlWthFm4MnHMmQ7iO46fFrWb5uKalEuiNtzFc0AMq7O1XXdAL+98q23GJ2y42PDumQDumQzUjC2n6hki1k6NmpF+ccfClD+gwnl8uAECiqQtAQJ6irEq4XOpe4OK6LFokS06Os3LCEZ979N5Onv0hjtoE//eYuais6kSlkvBA4npcuffdZShcUBaHAdf+8nLc/e5OqVPWXKEjxhX+Jz71b2pcd16YiUcHKhuVcdO+ZXH707+hb05e8kffn5ef2fYCfROJIh1/sejSn3X4sF9xzBjuO2IWDtjuMYb1HgFApGIUQFIgoM2r8yICCCoqkJdfMwO6DuenEv3DbUzfzxmcvk0qk26cCvgyI8AOVr5wCCG5ioGzhf4+m7OgB0CEd0iGbs4SRULx8/5hB47nw4CtIp2rI5tq8CiufaCd0k/3XUpG4roOq6FQk06xsXsnTUx/llU9epC3XhuM4/GafMxnZbysyuQyqWkLDB2V4XoRVIRlNcMeztzDl49eoTtd4ZDqb4P7/5hfqY8lch0QsyeqGVdzyz+u45tibSMTTWKaBihJUE4IPVrQdi0Q0zoWHXsElfz+Pd2a9zYfzPmDswPEcsuNRDOszCtM2MMwiqvDBiWUERT7SkIiiUjByJCJxLjrsKuo7deEfbzxAIpryqix+pAyC34veuuWWZlAuWI6E/brnKqUVvvizGxsP3+bY8vf/10ZRh3RIh3y/pbzEL1Cwrflm9t/uF1x51O9JxtMYxTyqoiFRcV0fzR8qKOnT5NrE4yksx+bhyfcw8a+/4V9v/QPbdtBUje2H7chB2/2SXKHYrhV74O1KJA4Q0ePc8+IdPD71EapS1X65nj+370onitLYjuuQjlcwb9Ucrn34MgpGHk3RcAmIAEvMgYoQFIsFhvcaw2G7HI2mKMQiCd6d8w4X33M2Nz16FaubVlCZqkDiehUPMhjQx0fg9RlQFBXLsTCsAsfteSoXHHYlrutg2aZvBJTuy49F/ucGQHmIKZtto6WliebmRjKZVlzH8Tihv+INCXJo+XyOYjH/hQDBsN2pbZPNtgEl5R0c7zgOjuO0ey/T1ur1HihT9AERkmEUyedzX2u+HdIhHfLjk/ZIfEm+mOPwHY7m1J+f5aH8bctX2F67HKH4DoYrAYnjuggUKpJVTF/wARfdcwZ3vnwbrblWKpNVCDzFecRux6ApKrgBn58spRGEd56qZBVTZrzM/a/9nXTcJ84hUKL/HyJDI6AiUclHC97n78/fSiKeQLq2f0QplSARCEUhk29l320PpE99f/JGjnS8AiEUXvjoWS6463Qem/IwET1CJOq1OJYhf4AIrydYFwnkCln22upnTNz/EqJaFNM227cx/pHId2gAbPTQfEUlWA5+2XGXn3HQIcdxyBEnsevu+6JHIliW8ZWR/oqikM9l2e/Ao9h1j33J57LtLN/SmAqmadCzV1+OP+m8dhEIbz4u8XiChM8yGMzvlDMvo757L0zTDB8SRVEoFHJM2H539jvgSAqF3CbH7JAO6ZAOgfb4paKZ59f7nsUJ+55OwSgiXYkmFMKqd+F4dfp44D/HdYjHUji25Pan/8iV913IotULqUpVe4h6IFfMsuPoPRjQbQi5Yg7VNyagFBmXrksymmLmsk/563OTSMXTPperDAHX/z8SXJdnBFSnanh5+vP8c8r9pJKVOK4DeJwEAVWQIgSudIirCQ7c8XDvHR/QWJmsIl/Mc8czk7ji/omsaFhOOlGJlG4Zf4AIwYGCoD+CQluuhZ1G78H1x/+BikSaollsRxr0Y3DkvhNN5S2UV2dqGEVc14GvUZ7nKViVk045nz1/eiBDho7i6OPP4oab76OysgarjPffcWwcxwnD/LZthX97OSObLl170KlTV6/kxf+/W9Y/QFE877+mpo4dd/lpOI/goW9ra+Vn+x3OEUefSltrS/h+374DicXiSNfx6Y+9SIFpFNli0FBGjd0W0zTCubiui2VZQdXq52gpLcsKqyV+DA9bh3TIj13KPcx8McvJPz+Lg7Y7jEw2CzLg7yMstZN+m1wpPZB7OlHD/JWzufS+s3n0rYfQNK8lrqc4wXIsqlM1HLn9MUh/X3RDXgA80KCPkM+bOe54+o80Z1vQVe2/6v0GkQaJJKJHeXDyvcxZNpN4LOmV6OHP2a/1UxSVbDHLnsN/yvhBE8gWPUCj4zqoqkZFspJpC97jwjvP4KUPnyYZT6GqGq5jhwyIHiuiDEMMiqLSlm9jYM9hXHbUDSSjCQyz+KOKBHxrAyAo2TP9hevZqz96JIpRLHytGn0pJcWiwd9u/y0XnH00p524P+mKCvba+yAK+SxCKOSyGRKJNIlEEtM0yeezVFbWEIlGyWbbcByXdLqSe+68mSf+dS/pdCXSdclm21AUleraOoxiAdMwfMIIm2w2C3jKP5/LousRdE0nHk+SSqV9vgMd13W57MKTWLpkAbF4Ass0KBYLVNd0wnVdMm1tFAvFkLIyl80ghKCmtg7TKGIahZAuuVDIYVkmtbWdvRBgPtvBZ9AhHfIDl3bpzkKGo/Y8kQO2O5RMrhVN4BHclAj2vFy4ELiujapAKpbgsSn3cuFdpzN31WyqktVeGZzvDStCIV/McejOR9Czcy8Mq+iR7bi+KvWB7q7rEE/EeeiNu5m57FPS8QovrfBfdESEX9otpURTNQpWgb8890csx/TLzAPOgbKUgABHuhyx01HE9XhYngheyWAqVkHezHHTv67jt49cSd7IkYimvFSulz0p4w7wPqcqKtlcG0N6DOfiI64mFoliWeaPZj/+1u2AhaJgmQbduvfi7Ik30LNXPxob1vGnmy9n7pxPicW89oxfxZpSVIVksoJOdV1paW5k9ozp1NZ1pd+ALTn2hHNZMH8mP9v3cJ598mEef/RuLrv6Vrr36IOiKEx+6d888dh9WKbBCadMpLWlmcceuQtN0/j5/r9kn/2OwJWSTFsLt/3xKhYvnBP2JhBCobl5A0cdewYDBg7h2ScfZrsd9kQimXTHo8ybM4O777yZy675Mw/ddxvzZn9KXeeunHHetdTX92Th/FlYlkeTqagq+VyO3X9yAAcdchxSSgqFPLdNuooVyxbhOi7DR47juJPOR9N0hBDc9/db+OC9N0kkkl95rTqkQzpk85AS0t/7acu3cvSeJ/DL3U+iLZdFRQ01tCJliGGTKDiOQ0KPYzgWtz33R/499RGS0RSJaKKkAKWn/ItWkd6d+7D76L3JGzm/h4BfKhg0+3Fd4tEEsxd/xvPvP0U6UYErS4r0v733BJHSVCzFrGUz+PfURzhi1+PJ5lpRfWIBr7RPIIRCwcgxtOcIdhi+Cy999BwVicpwHVzpgR/1RAUvT3+O9c1rOO+gy+jRuRdt+VY/FVJCFwS/dEUjk29j9ICtueTIa7nyvguwbAtd1UP2xB+qfKsIgEdXKTCMIvvs/0tGbDUcx7bp178fBx9+wtcu0xMI8vkMDRvWUlVdy9ARY1m1YglCKGy/085UVlZzyfnH8eJzj3L2xGuprKzi0onHc9ukqzjk8OPZfqe9yGRa6NylG7WdOpNpa2Hb7XZj/4OO4ZbfX8I5px7KvDmfcepZl1PqaAgtLY386oRz2OMnB/LA3X/i4+nv8vFHb7Nw/iyuvfJMnnriAXRdp3v3PkSjMQqFPL8+7WKEgHPPOJxXJz/FdjvuiWPbFAt5thq9DUcc9Rtu/9M1nH3aoXz4wRROP/sqpOtS16We08++mqefeIhzTjuMRx68g5N+cxFdunTDsswf9MPWIR3yY5QA6S+Ep/wP3ukIjtntJPL5NjQpESGznsQVXphaAra0SMRTrG1dw5X3n8vjU/5BRaIKRVFCR8ED9AECbNviFzscSUWiGtMJ0qa+By0BXIQqMC2DO1+4laJZwld9PW+3zJ3+lhIYR650SUSTPPbmg8xfMYN4NOEFAUTQETBIpCoYts0hOx1JbUUnLMdqZ7x4vDAO1alaZi2fwfl/P5V3Zr9BRSLt90Rw/T4JhJwDXv8CldZcC2P6b83EX1wGSGzH/q9GRf4X8p1gAASCRCKFZYLt2BiGSyKe/FphFCHAsix+ddJ5/O6W+7n1b0+QzbTx0vOPk0xVsHbNBh667zYWzJ8FCIYNH8cdt17H+vWreeetV3jxucfZbY99w7y7bVu4rssePzmAjz96h+bmBnr06sf7775Or9596dWnP6ZpYNsWRx93JttstxsXnnMMq1cvR7qSttYWioUCK5ctpqlhA+AZOqZh0LlLN7YYNIK77riRluZG3njtOaZOeZlEMoVhFNltr/2ZM/sT1q1ZSe/eA/jw/Sl07VpPtx69GTt+R7LZVmZ+No2+/QexYP5sTDPPmPHbUcjnOwCEHdIhPzCRPmNptpjh5xMO5MS9TydXzKF40CkP6ia8Lnwetb+C6zgko2mWrF3Epfedx/TF06lKV+O6TlkqwdtbFRSKZoEB9QPZYcSu5Mycxxoo2sfPHemQjCZ447PJzFj6GclYKeL49RwPH1Enyz7zDXVkefWVpmpki1n+NfVhT3eErP/SjwQIhCIo2Hn6dhnAbqN+Qr6Ya1fCFwAYHdcmFU/Tmm/lmocv4aXpz5OMV4ZYCi/BEjRM9n50RSeTa2On4XtwzsEX40qnXdrmh2gIfOsUgJQSVdN4/dVn2Hb73amprcWxXV55+UmvZC4a90JMX6GgVFEUFs6byeJF83jnrclM//BtWloaGRQbQaatGdu2iMcSXl7dNMhm2kgm0wgEa1avYPiI8eh6xJ8bRGMx4vEkw0aMpb5bL49yEli2ZDGu42LbFnWdu3HUsb/monNPZNWqZXTt2gOjuMZva6wQicbQdK/PgaKquK5DZWU1lmWQz2VIJFK4rmT92lX07rsFuh4hmUrTrVsvTj/3ajTVI6dYuWI5tmVTXV1Lp7p6Tj3rCnQfW1AoFGlubkLTtK9aPNEhHdIh32MpB/uqikpbvpUx/cZx+j7nUTSKCOmA8PajEkYfFAmWa1OZrOSj+R9w3T8uI2/mvFC3szF/vd9HT4Djuuw74WCSsQSZQhuaopZ2XOk1+dFUnZZsM4+99TARPfq55kBf4+r4riIAUEYyJ11S8TRvz5zCp2M+ZKv+48gXsyhqiQhJQEiX/JNxP2PyR89j+JVi/pKE1+O4DhEtguu63PjYtaxvWssvdz+BXCHjr7/wUguUwIGqotKca2KPMT9j9doV/H3yX6hKV4eU9CGH8g9EvpUBEORvYrEEn3z0LhPPPJItBg1l+dJFzJv7GfFEMuwR8J/0v4dMVXjz9ed5680XqayoJp5IEolEffbBUpinUMih6Tq6puPYNpZlkUpXYphFbL9OXwiBZZooisrLLzzO/XdPorMfZrcsE4GgR69+rF61jFdffopzL/wdF59/HGvXrERR1TAi4bhOyBIVIPYLhTyaqqFqGq7rYFsmCd8QsS0LRSi8+foL3D7pajp37Y5jWVi2iWEYaLrO/Lmfcf6ZR1JX1xVXuhSLBaLRGPFEqqNJRYd0yA9A2nH7W0V6de7DGQdPxMFGui6KUJEiaOEbtLcV2K5NOlHBtPkfcN3DF2HYJrFIrF2+vz33rsC0TOpru7HNsO0pmvmQ7tfHEHpAQdchoVfw3PtPsmzD0rDBjxDfJO8v8ZCFZQZAKSDxjSWoBrNdh0ffepDBfYYTdjkW4cgoKJi2Qa9OfRk9cByvTn+ZikRFqWdBmVHjShehCJKxJPdM/isuLr/a/ddkci2girATYsgXIEBTNFramjlk56NZ1bySVz99iVQs7VVa/MD25m8dbw7q5qOxOMuWzOe5px9h7pxPiUZjYanHV37ABKRSaaqra0lXVPopBDdE1ksp0SMR1q5ZScOGNex30JFksm3U1HZir70P4qNpU8P6UCE82uJ3pk7mgF8cQ/8BgykUckQiUYaPHI+m696XIpHkicfu4YVnH+X6G++hrq4r+XwOwyjSpWt3dE0vNSQSAj0SZc2aFTQ3N7D3zw+lubmR7j37sNOuP8UwCqiaytQpL/GzfQ9hyLBRFPI5VF1j6LCxVFXV8PaUlxmx1Xh22W0f8oUcruuy5ZCtqK7phFOWz+qQDumQzVR8lj2vbNlzGs46eCL1tT0xDJ91Tggfie43OBPSU/7xCuYun8UNj1yKYZtE9Wh7YHB51F16qYWiWWDCljtREfeiBIrA5w4ISgldNFWjMbOBp997nJgeLwO3fYP9RoDfgu+7DASEuiQZTTJ94TQ+mv8usZgfqSg7LqD+d6TLTsP3Qle0dtGM4FyURWEA0okKHnjlLv719j9IJ6pxXYlwA8YBGcIDPWJmcKXD6QdOZED3gV7Kpowj4Ici3yoCEEjgHUeiMaLxhN+O8puhJ13Xa+5T3nNgY1GE4I4/X8+Fl97En//6OJWV1SxZNI/nnnqYVLoy/HwqVcHzzzxC9559uXHSQ6xYvojqmjqaGtdz+UUnEdTmV9d04v67JxGLJbj82ju46LxjefPV59l2u92568GX+PjDd/j7X34fXqsA7rzjd0y85CaGDBtDPpdl5YqlOK5DMlnB6688Q6/eW3D9TfewfNkiKiuryWba+N215zJv7mfc+/c/cub517FqxRI0XSeZTPPba86hqbEBVRNfmUSpQzqkQ75fUt5YRiiCQjHDmQddwLBeY8jlMmihd+4B0rwDVRzHJpFIMW/lHK56cCIFo0A0Em0H9ivfT0M2U8emKlXFLmP2xLE9fhLXVcoy3OC4kmQsyUvTnmFN0ypS8QqkdPxo9jcwAAKwglS+Wyq54Br9MP7k6S8wfsiOgNeq2Gt5HBhCHvvqmP5jGNZvBDOWfEo8mmh/wo3AgUIIErEUtz97C6qE/Xc4gpZcMzqKj8Mo7bteJMImqsY494CLuODvZ1K0TDQ1aFokvpHt9H2T78QAgNKD1K4t8Nf4rOs6XH3pabS2NhGLJUJLKxqNs2jRXG64+mzv/FISjcVZsmgu555+OEOGjSGbbWPOrI+J6B7/gGNbYahMVTX+/Icr6D9gMN2696K5uZEli+YRiURZ4p9XSkllVQ0P3DOJt6dOJhaNsWrVUi4+71d079Hbo/hVFK6/6mxamhuorKph3uxPOe/0Ixg8dBSLF80h09pCurKaRDKJEAp33nEDk198nB69+pJpbWXxojlYpkkqVcGzTz7EtPfepP8WgzENg8UL55DLZohEIqU2yh3SIR2y2Ul53r8118puo/Zin7H7k8/nUYSOxAude1V5LkIqOI5LMpZmyZqFXPXQhbTmW4lF2ves/9yeIEAIhaKZY/SAnejXZQuMYs7rfic8f9ZriyvRVIVMvoUXpj2DpuplMfVv6mgEBsC3BwG2O2sZ2C4eS/Lhgg9YsHw2W/YYQsEshOmAgB/BcR1S0RQ7D9+DjxdODzkRNrV/tjMCokluf34SkXiSn4zbn0yuCRVRZhB5TqgXXSmyRfchHLfXydzyxO/R1aR3/SK46M17r/7ODIBvKuVgmVUrFqPpertQi6IoGMUCqzNtRKJRAB93EKdYLPLO1Mkoiko87ll/Q4aNYdiIsTz2j7tQhNdUKJFIsnTJfBbMn4WqqkSjMVRVo1jMk820oUeiCCGIxuIsWjAbTdOJxxMUiwXmzP4UVVWJRKKsXrkETY+gKAqxeIK2tmbefP05otEYiqJSWLsKPeKBEBPJNCuXL2bJonkoigcmVFUV13VJJtM0Na5n7eoV/rgxVE37wYWXOqRDfmwS5v3NIv3q+3Hi3mdg2iYSB8VPDYSsNlJgS5toNM7altVc89BFNLY2kIwlw3z2pgF6IZsNQsDOW+2OKj3EvFRcz0uWnpdqS5eKeIrJ059j4dr57ermv7mjEWAAXMIQwHeAAQjP7htQObPA89OeZEifYbiGiyrVEicAEhVB3igwbvAEurzZhdZsa0iHvKlzlq9nRI8x6d+/JapG2WXknmQLrSiqAOkDM4UXQ1EUhbZ8K3uN35c5q2bz4vvPkC7DG2zu8j+vOWt3U3xF2p6XX/oK1FP+IbjDdVFVlVSqosTZD5x4ykTmzZnB1CkvkUymvLaWUhKNxkinK4jHE2F5oqKoRKJR/6HyklmxWBxN0zwLUFGJxz0gopTSn5/i15q6aJpOOl2JrkdQVRU9EinxSPspkVS6gngi2e66XNdF1yOk0hUkkh5lZfk1d0iHdMjmKcGe5bgOJ//0TDpX1GDahodkVx3feQw8XZdYJE4m38ZV95/PmqZV7ZR/cL5NjOLxr1gGPTv3YWT/rShaec/h8eoKAQUXUIVCwSjy7AdPhxVJ39prFWUgwO8QAxCePuAFiCV5d+ZbLFg+l0gsihvSJPpXoXjU8J0r6xjVf4zH5f8Fzdg25gpQFRVNi3Djv67m/fnvkk5U4Tpyo6WRHpOiEJimxa/2/A31td0pmoVwnM3dafufGwDw+Ye8/O8veq88XFSqAYXrrjyTG2+Y6JUgbsTpXH6zNn3e9uOKMMzz+Tl9UW3opubn/f3F721qPh3SIR2yeUnQGTRbyLDPNvsxauA4WgtZhOq1unWDvLEsHWtaBpOe+C1zVswmGUuFDk9wvnYKVpaPIzDMItsMnEBNsg5DGqVz+2FsXM/A+HDeu8xdNot4xEutim+rsSUlHoBviCP80tP74HFN0WgttvL8tKdQfUB4OH4ZVMqVsMPgXdEUbdOgcylLv/0yPheXiKYjhMLfXriF1U0r0LRYKVLgY70kXjTAsYtUJqo4/icng5S4Gzmpm6t8LwyAbyvl4R0pJYlECkVV2yn/DumQDumQ/y8pR+RvWT+E43Y7GcM0UFE98JoUiCBvLjwFp2s6K9YtRUjJoB5DsGyTTKGNbDGLbdsowusdEtAIQ6m6wHVdErEE2wzbEdOxvdy/rxiDHc8LBAimzn69XVTh26srgac6/n/21uB6XekSjcT4aOH7tLa1oKuRds4ewlPORTPPkL4j6Fffj6JZJGx57EvIISgUFJ8fwXYc2vJtWI7F0jWLePClu/2qAV+flC2SlKAqGoVChl2G78kB4w8jZ2TDKMDmrGP+5xiA70LKPetyhqyNPe3Asv6qfPvlN7fEmOXRdvy3O2cF11aeMin/XV418UW5w/Ljg+M2vs6Njw82oCCVUp6W2fj/XzTv8vG+6tjfRErnEl9ahbKpqNAX51s7pEP+s4SIe8fmsN2PJpmsIFvIoAolfBa9Jrd+blkITNugb/0Arj76D7TlWlm+YQlzls5i1vKPmbdmLs2ZJiyf0ldTdXRVR1VVVKFSsAr0r+9Pvy79PSIcVN9j9XL/EtB0jbXNa5ixdAbRSAxXfvF39WvLlzABfpf+cESLsK5lPbOWfcqOw3YjW8ii+kj8wJhybUlFvJJR/ccxf9U8EpFEKRriA/osx8B2LCSSiBalNlVD/24DGdprJEP6DqFLTS8c1/J1RNCPQSCkDLsxKkIhbxY4YNfDeWPuK7Rkm70y8c143/hBGABfJuVKKJNpRVW9vP5/umkhm5RjYxoGsXgCIQTFYg5dj3oP4X/hxpfjBrKZtnAzCY0CRfigxRSOY/upBvU7G7dQyGOaBolEymcq9P6fz3sdDZMbYRg2fS7Xs6LVbz+v/zRfyzJxXTfkoYBNp1dK6+qVTm2uX+AO+d9LkFPOFjLsMHwnth28I7lC1nu+IExFSkXxS+g9paIIryNpxm5D1zW27DWUoX1Gsp9zMI2ZDSxdt5C1G1ayZO0SlmxYyLqWtbTl2nBcl2wxy4j+I0lFUrQW23xskgjL06TrktSTvDb/BdY2raEyWfndAtc2BgGWVuM7iwsEURXHdXhn1pvsNGJ3v1QvKHH0sQD+93j0wPH86+1HyBs5bNcGBJqikk6k6V3dlz51/ejdpRe9u/SnT+d+1KRr0LQYtmNjOYbXVTGESASVGr4RACAEtm1Sm67lFzscwW1P/4GIHkVK5zu64v++/OANgPLUwCmnX8rqVct57qmHiW+i8165EgseqmQyzZnnXsPgoaN4+okHmfHpNDKZVlpbmj7H218+Vrm3vikvc1O5o00p0cAISaerOO3sK4nFSuVBruNgOzaLF87hwXtvZeIlN9LQsI4H7/kzlVXVIXVouddeKOQZNmIs+x90NL+/9jyEsmnlFxy7+14HMG78Djx4759ZtWoZsVicfD7HXj89iFFjJ/DQfbexZvVydD1adm3+pqiqtLY088tjT6Nz53p+e805TNhhD/Y94MjPjd1+7WDj8OLGa7vxOgohsG2b+m69SCSSLFk8PwRzbupYIbz2zxdf9SemvfcGLz77GBWVVWEkZePxOqRDPi+ethBCYDsWyWiSX+56EkiP3Ef1DfHwmWv3Kdp9XxzXwTHzuH6OuipVyzZVXVEGC5CQM3Osb97AmqY1LFg3h5Vrl7LNFjtjOTaKVLwUQ7Cn+N5qwTF4Y+Zr6JpPZS6UEIQYPtsIv/lQiTcgfOZlKR8vhE9Y5IOl2xEBBSIIr31TADlvPN8gL49g+mN71QulNEewvyZjST5Z8jEr1i2jc3U9tm0hFP9TEhCSgl1kUPchjOk7lqZ8E/27DaRPXU/61A+itqozXaq6koykUPBok03HxLAsipbpz0lBQSHoEBQ0CvK2Ir+qQgiv2quQY+/x+/LWzNeYseQzknGfwbU8/7KZyI/CADCKBQYMHMpBhxzFiuVLef3VZzzKXr+rlm1bRPxSQCkllmkQjcVpaW7i6vY5AAAgAElEQVRin/1+SZeu3bnw3GMxikWuv+lu/nbHb1m6ZD41NXVI18VxHVRVo5DPEYlG0fUIpml4VMSqQiyWaB+yd11yBa/xTywWxzJN9EjkC8PQAoHjOKxasZRINFoW8hf86sSTeewfTUgpWbxoLm2tLWi67mNdBMVCHsdxiMbiPq2yQyyWoL577y/FAwfe9JChW7HfQXuyZPFcHrz3No+yOJ5k/4OPZOCggTz/9D9ZsXwx0WgMx3HJ53NIKYnH4yiKgqbrrFyxhExbC4qiEo3F240thMA0TUyjiKppxGJxgPA+6JEopmFgO7Z/zlLkxTSKmJZH95xIJMlmWtnm4KMZPHQU553xS2pq6tA0DUVRsG2LYrHgV3bEAYGqasyd9Qnr161B13Us0/TGFlAsFIhEokSj0a+cMuqQH5n4ysorWcty+E5H06/LALLFFlQlyMkHeWWQfv2/kOXGvgzDy57R4H3MdiyytuGD1kARKl1retCjri9bD5kAjoNZNChaRVCUzyljTdNZ17iWletW4Lg2eSOHKyWO44A/5yBypyoqmuqx6QUGglcFpXi0wr5RogoFVdG8NGgABFTCpfB4jYRXhqgqqrcGlL0fRN2kG36ngt+OdLBsKzQIbNsKDQhN02lqa2DavPc4cIdDMe0iClrIByCkgnQlmlC58NDLUfUYsUgMXQgc6fVWcGyLbKEtXHdFCP9alVIFo5DtjBD/nwjR3spxcVCUCEfsdgxX3X/JZk3f/r01AMrzzBvnbMvz3v8pjK8oHmPUTrvuw+SXnqWuriujR0/gzTdeIJlMEY3F6VzZjQ3r1wCeQuresy/NzQ106dqdLYduxYoVS5GuS22nzqiqSvfuvRmx1XhamhqxHZtoNEamrZkJO+7ByuVLWLN6Od179qVHz75kWluYM/sTFD9U7xkFKltvuzOFfI7582bSrUdvGjas22TeWkqJonpW5wP3/AkpXVRNo7mpgdPOvpJZn83m7r/dQnVNJ96d+krIkWDbFpZlMnjoKKqqa5k751Namht9o8fBNIr/8R4IwHFcprzxMVsOGUW6oopstpUJ2+9BJpNj5ow5qJoWKnEhBKPHboeu68z87COKxQLxeIIZn05DU1VisTiObYdjC6GQy2Xp3KUbAwcNo2HDOubP+4xoJIZQFLr16Mu6tSvov8VgamrrmPnZRxhGkUgkQqGQp3fvAfTo1Y9MppWlS+aTSKaore1MNBJlxMhxqJrG6pXLyOdzVFbVMGbs9mSzGWbPmo6qauiRCK+/+gyObaNqOjW1nTGMAgDjt96ZpUvms3rVMmLxRAdBU4d8Xnyv3rAMulbXs/+EgzCsPMJnlhNILywvJPhMdlCeOvcUGD43QOCZexA7xfOSRaiesG0DyyqGnxOKV/YnhDdOeS2+49hUpqu5+tg/sKppEZqqkM8WmL9qAYqmsD6zjlUblhNRdXLFHA2tDe2qD4Tw2gYblhE+94pQaM23YFhFhFTxWxdCkI/3MPM4jqQtv+mafCklUT3WLnfuSpeYHqNnXU/fGBIMqN+SaCSOZZt079SDuprOdK3uhmEVvNI8yiIpSIQicKVEjyRAuhSMPHlZcjKE8OYvFM8ak0K0S16ECQXfaAvoGrwmQaKscsIzmIpGnrFbTGDC4B2Y/PGL332K5b8k30sDQEqJUBTy+RxmsYDYKNQe1NjHEylK3P+fX3gvfO6QTKUZM257bvvjlWw1elu222lPXn/tWQyjyJZDtuK4X5/Heacf4X1GUbj4iknc/NsL6NGrH0OGjiKfz3LKGZdhFAtUVtWw6x77sdse+3HPnTdTUVXDkcecxorli9li0DDu+dvNdK3vwcmnX8ra1SvoWt+D5csWceP1E7Ftm1g8wSVXTaKysobmpgay2Ta61vfgsgtPoljIfS5/Xx6+r6yqRlVVMm2t7LPv4Rx+5AmcfeovcV0HwyhyxrlX07hhHX+97Xqqqms598Lf0rffIFqaG6jrXM8fb7qM9995DUVRv1LbYVdKEskk8+Z8RveefRg8dCveePUZtt1uNz79+F1Gj90eVVWxLJO6zvVccOlNRPQojuugqRo3XHMOC+bP5DdnXE6Xrt245PzjUVXPI1cUhXw+w8677sOvTjqPNauW0bW+B9M+mMIdf7qWRCLJORdcz9o1K6iq7kSnui60tjRzzWWn0tzcwL4HHMUhR5zI0sXzqetcz9tvTeal5x5jzLgdUDWNX596MatXLWPSzZcxaswEf23WU1Vdy9Il8/nD7y4in89x+TW38+7br3D/3ZM4+rgzGDR4JG2tLdR26kLX+u784XcXMe39KSQ2kTLqkB+3BN6zYRU5YLtDqKnoSibfhqoqeP33BATAP19Bu9JBSOH3AwC/6T1BZD0IyQUOtpBBIzTh43vae/uiDAyH39kuCK/rQtCzcy8GdO0PuAgU9hynIISC4RQpWnl0RSFfKNDY1ui34PXOraoaa9tWs3zdEo++2FfMlm2yZc+RFO0iStDGUJTGtW2HztVdOXW/s1EEtNPUeKmOPp370aWiK7Zjgw+SjOlROlXV4UgVVUri0YS/7/sldxJM28L0I7ebjF4KgSsd3z5SwvFlQIwURFxEKVgi/AhMkPJwccN1dKTH1OgzOJWlcCQCFcuw2H+7Q3lv3lRsx94sW7l/Lw0ARVEoFgtsv+NeDB022g/dlhD80ViMBfNmMuWNF9qBvTYWD8SWY+SobYjGYsyfNwMhBLvusS+1nbrQ3LhhkyHwIPf/xGP3MnjoKGzL4pYbL6GysoZbbv0HD977Zz784C0URbDTrj+jT98B3H/3JK6/6kzi8SRVVbWcduL+rF+3Gl2PMOkvj7HbnvvywD1/5qzzryUei3PqiftjWRYTL76RyqpaHNv+wvUoj4IUCgWqqjtx5vlXcddf/sC8OTOo6VRHsZBHup5nkM22cfyvzycai3H0oTuTybRyyBEncewJZ/PRB1NCo+k/ivTIkvK5LLNnTGfs+B358IMp9BuwJc889TATtt8DJBjFIiecPJHZsz7m5hsuxHFszr/4Ro761RlccPbRgPTmFlwPAtM0qK/vyZHHns51V5zBe2+/Ql2XbvzpL48zftudeeetyVRUVLFu7SouPu84NE3j1r89wYQd9uCpfz/AAQcfzc2/vYjXJj9Ft+696dSpCytWLOGlF/7FoC1HcunE46morCadruKk31zIXXf8nmefephkMs0fb3+UPX96EA/ddyuIUp7fcRx69x7A+WcdyeyZH3P62Vfyi8NO4IP33gjvQ4d0SCABVWzfbv3ZffQ+5IxCCYxXltt2fQCgqqqk9CQ4EsMysVwP4e/pHs+LleVBAQkIxQcNlpR+mD4LdH+ZkpXtFBXYloEli2W5frzvtVDQFBXXgUQsTUWyOvxwEIno1bkvEwbt6CtUf24ITLuIaRdKqQBKeXvbMalO13DoDkeHeIHgs4THOGHYvBzkbDkWiq+cM4Wsd80BMkFKUBQUZROOXnD5vh4IavihxNkf/B1EKhQfTChlaW4ljAOoqkJcT2JaNrZj+Pc1GM87YdEqsGWvIewyaneeeefJkGXRu6ebx17xvTQAoASScTZqDOS6Lq7z5c2CoBT+N02T7Xbci2nvvcmqlctoa22hqamB0WMm8OxTD/uWX7ly8q1vH8QWeKsRXUfXNS8XpmpEdN3LrUdjLJg/m3femkwilQYp2bBhDbvtuT+jx0wgl8tSVdWJrl17oGkaw0aM46UX/u2HsqO8+PxjDB661X98YIL3DaPAldfdytxZn/LEY/dRWVWN6zj4tiyu6xKJxNhq9LasXr2c/Q48ingiia5H6N69O13re2CZZgj4+U8ipSQSjfL2Wy/z61MvZrsd96KlpYmli+d5+AXLpKa2ji0GDmXliiUceexpnvehRxg0eCjJZArHcYLCGu9aFA+XMWyEF6bv228gI0aNp6W5EXAYMXI0b73+Io7r8OJzj+K6DrlcgdmzptOte29Mo8jaNas44OBjUIRgwfxZrFyxBE3TUBUVRQgi0SiOY7PFoNFUVNZQU1vHiadcSFtbC45rM2LUWB64J9hUveZVsVicD957g/lzZ1BRWcX0D6cyZvz2PvCyw/v/scvnyloVry3t3mP3pSJRQSbfgio0P+Hvs8j5WWbLsfjdo5dTnaxhzBbjGFg/mNqqzkgJtm16pWZh4x+8fLTvqgac/qEmC93fsIktfiyg/TMq/KoD4RkQSsAS6B/iur7h69rYrrUJEGCJ8Ka0BiAUfO+/HIjnz0sRuK5Na67VT318PqW5MSC3HATouh5RkaIoIfjOs4NKaPyygEcYeSj/XaoQKJs3wTiehy8JbpPfmwGViBZFV3VsbLKZFqYv/ICedb3pUtXdN05ku0iNUASWZbHP1gfx5ievl6IAm/ZHv5fyvTQAXNclEovz9lsv8/rkp740BVCO2i6XwKOrqKhixMhx2I7N7265H+lKunXvxZjxO/DMkw/74TJC5Ln0n4wv2+y9UJyfF/PR8qqvfDKZFo7/9flsve0uPPvkwzS3NNK5azf0SARV1dA0jUIhj67paJqGZZrYth2eb1Poc88Y0WhubuCIo06hb/9BnHLcASSTqfDLBKXSGD0SQY9ESaUr6dNvIJqmgxA8/8zj5PM5jyRpE9e1ae4Al1gswfy5M7BtixNPmchj/7jLm7OPJ0gkkghFoa6uK8lkOsRuPP/MY58jMvFXECkliZQ3/959tyASidK1aw/mzPqMjz/6gHg8gWPbHrhH1XAd29sihEDTNG7/09UcfOgJnHDKBSQSKR64ZxJPP/GgjzAmJOlIpSoASc9e/VBVja71PVizaiWzZnxILB4npEb1AT+WZaHrPmpaVdlEoLFDfkRSrtsC8cLLCkWrQO+ufdlt5B4YRgZVqF4bWQVcoeBKl7xdJJ2qYeonU5m+bAZCVZiy8F26VNczutc4xmw5jl7dB6HaElVRQDrogJQKLhJF4tf1CxwRoOjLfZYgp+3X/wcer6BdZFRxFe+YspC4ry1RpBJ68EHpXRAtUP2ThXtD8HVww03TGy8EOXrKVVFAoLRfvPJhRWnHCvdgJF4IINjJ/L4GQfOk4DRlWY/yr2e5gSaDuycFXgMmkK70ugoCqoig6xq6qiMQFIwia1pWMWfFDN6b+zYrVy9j/tp5/GT0z7jwsGsxbANFqHgpBBniOQyzyBZdBrHzVrvx9Dv/9qIA0vnKDtb/Wr6XBkCAlE8kkiSTqa8NAgxL3vI5Ro2ZQCKR4tmn/oGu69i2TWtrE1tP2JVOdV0oFgseAtyysEyTdEUViWQK27HbKeNyKRYKFAp5FB/pG7zvIezjjN9mJ/508+VMnfIStmWx3fZ7oGkRDKNANtNKt+69yWTaUDWVui71xOKJENVvmgYAul5ivVIUlVy2jaHDRnPwYSdwxUUns3bNclKpinD+3pfIO0exkMeyDD58fwp33nYdnTp3wzCKCCFIJFMoiopbFqryAHylMcM1FQLplur+Z372IUOGjWba+2/6QEMbRVVpa2sBKXnmyYeZ8sYLVFfXYhQLRKIxNB/sE6QdvPvmIBSFtpZmCvkcN91wAaqP1jeNIhUV1aTSFR5iWZR8nCDCoWo6y5Ys5IarzyISibL3vodxzAlnM/mlJ7yqDssin88Sjydpbm7AcWxu/9M1ZNpaiUajFIsF0ukqYtGYN4a/K30ulRR4CB3yo5LAIy2BwvycPS6ObWHbFkiXomUydoftsdNVtBg5ipqCqSrYQBEFV0BLBCKqizFkW04a9jiKLpDYmLaNlbNZoUdoiKhENdCFwLVtKoRK1BUkUIm5DhEXwEETCqrrIoXwGwn7zg8iVPBevjoAH7ZX3IFSKnnLZQo8eC9wRHxjOzzEz5GXQqTB8cGqBcqc0Jun9Fbp5Ze+Lp0j/EuU/97olBs7fZSiCUgXR7ohm6KmaqiKhqaoOK5La7GF5RtWsnzdUuavms/8lXNZ2bicTL4NKSGiR6hK1fD2rKnMWvoxg3sPp2gUvEhE+boJgesKJgzZiefff3qTTtT3Wb6XBgDwOeVbvjl/GcFL8H+vjM1i95/sz5w5n/DX266joqIK27ZRNY2tJ+zCDjvtxZuvv0BlZTV77X0w7779Kr847AQ6d6kP68c1XSfIXZmmgWkW2Wa7XWhra2H9ulUg8BoVSYkQCpZlkcm0scvu+7B82SK2nrALO+22N0//+yE0TeeVl57kN2dewoJ5M8jnshx86PFYpoGiKhTb8hx30rk0NTXw5L/uI5lKe2kQxyaVruTCy25i/tzPcF2XHXfZG8dxUBSVYjHPxx++jaZHPGNASp5/5p+cfNqFNGxYy+JFc+nStRv9+g/hmScfRChe4yUPU5Dn2OPPprm5/Zj+QqNFIiiqSiKZ4sXnHuON156jtbnJLyuMoOsRWluamfLGC1x0+U0IRdDctIG+/bakqqqGJ/51L5oeQfONC0VV0PUIiUSSD957k8OPPpkrrr2Nfzz4FzRNY6tR27Jo4Wzmz5tJLJYIc35SegaKoqpE9Aj77H8E8+Z8xprVK0gkUhQKeaSUNDWuZ6+9D2LkqG0xLYM5sz5l3ZqVXPu7v/HXW3+L4zqMGDmexsb1vD3lJaLReFgOpel6WEIJXog3Eo39/zzgHfI9kzLt5r9UhIorHSzTwLFNFE2norYbtXXd6dJzMPX9R9O325Z85LrIWAIb6aP2PRFCRSGKKQXRZBKBwEGgCIekJhBxFeGAhYmpCqRUUNQ4LXh6XHcligCBS8JxSdgu1WqUmGsRc0GXHve9KyS24qJILxzvSu8zgBcR8F74xnQZol0Gnrg/X+njBIQIqXDbefZ+KkIgkX5IPggjlBSv9I8rseiVB+JD1z1w4wnGK6tkCN6TfvoinH4Q2vdPIURprkGDIH8uqqaRinjVUHkzx/rW9TRlN7B83SLmrVjAgrVzaWhZRzafQ+J6TIuaTjKWCp0BRSjknRxPvPsIQ3oPL7vG8iyMQsHIM6zXCIb0HsbsZTOJRzeflOH31gD4tuI4NhWVVVRX1/HsUw9TU1NHMlWBENDa2sybrz3PoMEjeerfD3LPXbdw+FGnsM9+R/Dma8/z7tRXQXoPUVPDemzbQlG9crcH772VXx5zKttsuxu3TbqKxob1rF+7yie18R7Ke+78A6eddQU3TnqQ+fNm8tTjD5LNtJJKVTB1ykvUdurMCb+eyIYNa3jj1WfZdfefe5uD6zJy9Hg+/OCtMAIBYFkmPXv1wzRt0hXVnHPB9R6wSHrdCxctnMPHH71NY8NampsaSFdW8cYrzxJPJDn2xHMwi0X0SITpH76NbVsYxQJrVi3zrFfHYavR4/lw2lsbRT28EHjD+jVks21eusIyyeezvsJ0WbViCYVCjnS6wgPUIThn4vUUCnkP3/DcY0gJrS2NaKrHCVAs5Fm9clnYjvnay8/k5NMu4fJrbsNxbAqFPHNmf4wQglWrlmAUvciFoio0Nqwlm/GY0IYMG8NP9zkMyzJAwu2TrkbXdD54702GDh/LBZfcyLy5M/jD7y/i99dP5OTTLuXSq/+MaRpIKbn3rj8gFJV1a1eSybSg6xGaGtcTiURRVC9tYRQLrF65bGNHo0N+QBKq/UDhCa+szrYMLMtAj8Tp1KM/XboNos/wHajvNYJUqhpNj3jltGaBwOdVpFumCmUILlOkB4J1/e8VAmwpENihs6K6EiHc0nwEWKoAH1NQUFUaIpJVrkJEuqQclbhtUSldql0NTTqAV7Mfj8Z90K3Edm2/9t9LnQZgwmDcsKmNP3OJ9Aj+wFOqijcZV6EMZOcBExHlaPyyvLsrPcWtBDn2wAgBFC8Hjyt8pS388L5vfEh/9Xza4mCuQUpPVTVUoWA5Vru1CvP+0kXXoixbt5DXP33FZ1RcxIbWBopmIewYqGs6mqqTSqRCC0hKP0XgGx8uLslokvfnvsvM5Z8xtNcIikbB4z4ImyFJHGmRiqTZbeRP+GzxJ97zUB59+R6L6D9w7GYEWfjqEqQBpCt9oh6fQAZAeKxxQa43n8uRrqhA0yI0Nq4n7tP+lgN+vI8pGMU8CEE0GoPwS16KWAQVDLoeobKqhob1az1PMhIh2G42rF+DHonQ2tzE4Uedws8POJLTTzqQ7j37cNHlt3Dt5afT0tIYhs9LStn1kLe0T4VsPNfgoctlMySSKSqrashkWslmWkkmSx6+49jU1Hbm4iv+2G7Mjc9ffn3lr9uN7brkclkqq2pIptI0NzVgGEUSG5VqtstL+hwNtm1TV9cVKSWNjevQNB1dj5T1Xyilf/y7S6HglWTG4wkaG9bjODbxeALbtjGMIvF43P+cgm2ZGGaRTp26oKoaDQ3rEEJ4vAQbsSWWr9+m/v6+f6G/CxFCoZBrZdxuR7H3UZcw+ZGbeefFO4knK38QKZGNn22EQAgF17Ewi3mEplFb34/+W46j15Dt6dlrOFosgYuLa5o4jkBKByEC5Rkg//2GtT5SLCDQ8b6zwi+BDfA33l7kEd64Zd/v4HjpGya+ahYl390RgFSQOOhSUmFBZ1eSdm1SUmXO4o+pSFcSjSVIxypIxyqQUhLRo+Hz6zg2Tgg6dLEC4p0g7C+lZzAEXryvrPE9Y6EoYeosmKeXq/cSEx7AMMjzl0AA3trjd/cTIVZBCIGu+mRoBFUKGggv7RcQfrXlW8gUW6lLd/UjACWkf7AnJWNJ3pvzJuffdSaJmNeKXVf1MB3g2RVf3hdB+temCpW2fBt7jPoJEw+5nFwxi6poYaRDBKyPikpzvoXz/3YKzdlmr/XyZrBf/CAjAOWlJQGav53CxOOlDzb/RDKJYRgYRpFUKr3JCoPgixKNJ74QfxCMGSiWpsYNRGOxcE6OY1PbqQunnnkF8+fNIJ2uZP+Dj+Evf74u3Fjv/tvNNDVtIBqNbWIeot1Y/2kNgjx6Y8M6VFUjlarYKM/trcfGY36Th1YoCumKSkzToNhQQNM0ksnUF1ZrBGsViUSJRGK0tjYBEI8nw/l/4VhCIZFIUizkyOeyaJpGJOIZDKqq+kaH4xtnLpquo0ciZDJtgAzZBjeXMF2HfLfS3nD2DETTyJNI1zJswq4MGLErPfqNIpWqxnFcLLNIsZADAmS/TygTfB99ZeFKL/+OoqBpcXQtgissbCMDrk6muYFCvgUFgVQk4FJZ2xUlkiCixNE0HduxcGwjrJwpB8sFClP1DQyBghSC5ii0SM9zrXXghYXTmP7Js5i5NrrV9aZTdT0KClv2Hoyu6Vi2zcD6wXSqqMNyTFShUd+pm79PujgAqkJltApVKrjCQ8q7gAoYdhEzYO0LjQDPuZG4KIpGOuqlPMLwvp9dEUJgugZFK+sZXfhMgI7LynVLsaWNrumsb1nPojXziER0mjPNLFy5AE2L0JRpYG3zaq466gZG9htLwSi2T2MIgeXY9OjUh/qa7pi2GRoV+HswZU7Flz0jAK50ScaSvDtnKovXLaJ3XW8MyztnqRLBo4LuXF3L6MFb8/zbTxJJVOBsBj0CfpAGQDmivvz1F70XGAnB6/KH43OvfQNi48qE8mOCSEA5MYQQngeQaWtlyeK5DB46Csf5P/bOO06q8vr/79vmTt3K0pbeUYogqIAIqCixiz3GJEajRo0xauy9xZpYElM1Ub/GFnvvCNKR3jssLNvb9Ft/f9wysxQFJbq/ZI8vmZ2ZO/cp997nnOeczzkfk4fvu465s6dRUFhMQ30NVTu2EQrtGkMS9nDTflVfc/0I+GPL/06WZZoa66iprtylzZ1fd/f3rhkDzjzuaS73fD7b9zx81fl3fi9JMh6/UOu2bN9Tkt83WW59u3/d+b/ufbv8/yM5V7+zyxVFCdPQyGZSFJZ1ZcTwqQw55GRKe/RHMC00TSOVjDvea9cF7WMEhPzcdqfkD7aFLKvIARU9m6aueh1VW1eyvWIF9RWrsE2TZEsj6XQCURBcV7lFYceuiIEghZEOlHUbQHmfoXToNJBIUQmCIKFnU35ZXiecL/ixekehurF/wBYsamWJ8WddR9+xJ7JiwVusWvopa5d9SiAQYv76udiWiVONT/V3qZIo0bG4kwNqdudIDCj0K+tPQFR8JS0AmWyGsYMncdiQsQ4ozmNHdYF3iqRS1VDFX794FKeYoeCH/nHbako1U1GzCVHMGWKmaVHTWO0g6AUBwzTI6g4gWhBEfxMXkAOksylWb1/NyP6HeUEL98o4/xqGQWFBMUWFRWyr3oaqqLgn2uN6tsf7xu1zS6qZd+e/xqUnXg1ZyGNf9vtoGwKThxzLx3PfxfoKNtK2JP+VBkBblNyNrvPic3/xdwtKIEDYTWeUJJlwWPlOdqaeEfBdttku7fJdi+fVxnYUhaP4dVKZZmKlXThkyk8YcsjJFBWXo+kZ0sk4ouuCFgRcBedU9kNw2eIQ8OtaWSayoiLJCo0NFWxY8QXrl0yjZttasslmbBskSQEBREn2a+t7m4imqq3Ylk2ttZK1Sz5DUYNEYmWU9xnK0HGn0LnXgQTVGHomAZggyH4pYc8g8ERARLBFMpk4nbr1o2vv6xh99HmsWvAuy2a+QVN1BWooiiQrmIaBZTuGhWXbbKut8OfICwGs27yylWHtlQIuipUyfvhE0qTIr5PvjFWiIVnPa3Ne3mMpYAeVr/jXxg8ByAqi4Cl6lWAg5LvafY8NAlktw/baChfs6Lr/PRNA8LKxIpSXdmdz5SbUQPAbl/J2cBIWwUCI2Su+4PTDf0RJtMTBS+FRwzvHarpG/66D6d9tIKsrVjlYjK/wZLYFaTcA9iC7Sz3c3Xd7Kzm3o0hBYXGrc+cr3+8ybvS/Fttul/898RWMKIJlkU42Ey4u46AJpzNs7CmUdO6LnsmQSjYhCCIyTmlaQZRQg2F0TcuRvbhgNQdq77i61XCUxtoNzP3kOdYu/ZxkSx2SKKMoKsFwAR4Q0EOuO94Dj0HHRlZUP5bshQzXkbYAACAASURBVMVS8TpWLnifNYs+pqz3gRwy6YcMOnACECSjpRAFyRmXi4BzXwAZbBME0LMZ9GyaSLCYsUdfyICRU1g68yVWznmHeGMdoXDMVbaOERAQVR8I6G1tg0LI9zYIeF4QUJUA+YW98ObEC7kJAoXhol3ov1vjmVx0gI9tsP22RRdfYFlOGrBXc8BTprKksLVmE1k95YMDc14Z5zyqGKB7aS8se5pjbH3D9S1nnASoba5h7tovmHro2bToTYiSm1Uh4G7uTCKhKCP7H8KyTUsIq+E27wn4Xg2AnW+IfDIK8JQmeeCYb46s3Bks93UAEOeCGlimiRJQsS3LKRLzFax9Xyf5Crc1uPCr+4EgYOi6g12QnbTEdqXdLu2ye2kF8hMEBFFCS8cRlQAHTTyDURPOpaxjb2fHH48jCg47nG1ZCEqAgBoim2xm1eJPCIRK6NlnCIapuXttC8s0CQSiaHqKWZ8/zYIPniHVUk8gECQcLvQBfZblrWPk+YvznlkvzOYaCZaL3BdlhaASANumduNy3tpwPSuHjmPc8ZfTuXwQmUzC2b3vRF9r2SaqGkU3NQw948TYbYNkqpFotJSjTryKYYeezNyPnmbF3HfBslBDUYcF0I3l77zx8ZSybdsgOjFxt66OO9nOAHI1CR00gMd5sLtrgzsN+fU9nI+EfJ/6LvNku21JkkRDSwMt8RYKY8VOXN92AxGeoWbZ9Ozc043/58//vklurbcRBYnZy6dz3MiTwOVHEIScBwAcL8BBfUbycn4qoO+GanvyvbIX5O+KRVF0LuROYpoGkiTtF+VvWRaJRIt/YfbknnGONYlGC+nUpTumaSIrAcq793JRpP955Zvf51QyQUFBIaFwhHQ66fexrbuX2qVdvg/x1wpRxLYsMokmug4YzWmX/J4pZ9xAYXFXkqlmJ71XAMG2UESVcKQALdXMohkv8tS9Z7Bq/kd06tob09R8JLttWQSjBdTWrOHFP13BtJcexsgkCYYLEEQZyzJzikjIrft7s1z4x7rt2LaNooZRg1E2LJ3JC49dzNzPnkWSRSRFwbYsXzk75GktfDnzRdKJFsKxMiRZwbJMRGRswySZjFNY1J0f/PB2TrnoQbr2G04q0QiW5czVV61r+R/vTKPnK/+dBrKfxTutLMk0JZuobq5GkeQ8A8LT8w4or1tJL2KhAkzL+EbKP9eucz8FAyFWbV3Opqp1BBTVNY5cs9AFOxumTq/O/Sgv64FmZFsbNW1Q9psBkNu1O2CZvVVOgiBgGBrX3fIw4ydMIZmII4oOkCwRb+GU037MJb+8iXQq6TPJ5QA4rdO0dvYSeEA8x7gwicYKOO3MnxF1i93kK1HPCAEnNpdMJjh0zCQu+9WtJOLNdOzUlRtve8St2me28lbsLlzg7dzzKY13nicPSJj/2/x58d7/8qo7uO93z/DAI8/ys4uuRnOr+rV7ANqlXRzJf74cb6KElk6CJDLxtF9zxsWP0av/IaRSSXRTc13HFpIcQA1HaWraxvR3/sy/HrmQd/95M6XdBnLq+ff6cVxvr6pGiln8xWu8+OjF1G5eRiRShCDJ2Jbpu4L9Tew3GIeQZzF46HXbtgiGo2DofPbyA7z15A1oyTiy6sa2AdM0KSrqiqGlefbBc5jx5mO0NFQQihQ4xoKbQmwYWTLpOH2HjOeMSx5l/Km/BElCyyT9FEV/Lvel33v4+z8hThnmDDsat/o1SVolGwpgWwYxtRBFUr71RsnLIJBEkWQ2xfJNywi57XqDFVyiItMyCYUK6F8+EN3PlPh24/1Pyn4JAXi7eC2bQdOyKIqCGgzlKbs9u7glyWGbq6naztHHnsKH770KOBaVElA5cvKJfPzB6+iGTiLRjK5pSLJCJBLDMzSSyQRqQCWVSiBKEtFoIalUAi3rltUNqA7K3IZTTjuPTz58nfq6GopLOiArClo2QyqVBNtGDYaIRKJ7HKuAUx43Hm8hFAr7hkDSTUdT1RDpVAJBkrBMg2wmQ0BV3dQ0N7RgGCSTcWzbJhyOohuaW5Eul64oiCKJliaOP/FsRo0+nFtvuJiAqtK9ex+UgNoO2muXdsmTfG8i2KQSDfQcfDgTT/01XboPIpuOk0lrDujNMhFlhZAapa5mM4tn/ZsVc98h3dKMbZmUDz6Uk87/LYaZxbQMB+EtCEiBALM//iszXn+CgKISCEb8OLXnat5fT2TOxZ7zBAqiSDhazLql02mo2cpJFz1ESVkv9Iyz7mlainHH/BzRsHnvxXtZMvMlDjjsBEaMO43S0l5ktCSmYSGKEtmUgyU4/JiL6Dv4cD565SG2rZlPOFyIR9Hbakz5g8tXaPtz0HshXtoh2FQ1VLnKdecOCOiWSUE0RqeSzqzbvhZZlFt7KfZB8jEKkiizcMN8Th57hnNfeNrd9nAKFrJlM7r/GD5a8G7OG9RG5VsbAN5Dl82m6NGzH/36H8jWrRtYv3aFT9X7dfH2gBrkkw/f5Ja7/kDXbj1pbKjFMAwGDBxCQWEx0z97F1UNcvSxp9C790BWr1rCzBkfIkkyihJg/MQprF+znJOnnodl27z60lMcdPAYDh49HssyWbNqCXNnT2PM4UchiDLHn3QOqVSSeXOmsb1iM+XdezHxqBMIhSLM+uIj1q5e5tb+bh2rt22XqEgNMubwo1m6eC7pdArLMjl0zCTq6qrYsHYlI0aPI97SREFBMYeNncSSRXOZO/szVDWIpmWJxgqZeub57rhfp3vPfqxfu5yW5iYfOCMAlmnSuWt31q5ZzvIl8ykt68Ta1ct9EqCvm9t2aZf/dslHkouihKFnME2b0ZN/ypjjLiEYCJFJtTgpbqKzkIejRTQ1bmf2x0+ydPabJOqrUUMxAsEwoqRwzNRrUZUg2UwSQXCeR0VR+OjF+1j0+YuEo0VO2x440JX/xFPYOh3XAcaFIjEaazbz+t9/w+m/eJyiok5omRSIAslEE6Mnn8+OynWsXvAuCz78P1bNeY+DjjyD4aNPIlbUhXQ6johDbJNKNtOxfABTL/49Cz7+J/M/fhZRkJAVNUfZy05e/e9yu7+T5M/H9roKXFZfl+jImSMbMG2bkBqmJFLiUPQK+Lwm36hdnHssqARZU7GKbXWbKe/QC13XnHRHJ1UBURQxLI3enXoTixSQ1TJ+emVblG8VAvCAe5lMiuEHHcaDjz7Hr6+7hwcf/T8mHnUC6XTyKwfvx1aCIdavW0FzUwOjD51AJpNB1zTGjT+GzRvXsXXLRq67+WFOO+sCslqG839+NRdfdiPpVJJAIMCFF1/NdTc/zOAhI5EkmTGHH82vf3MvgUCAcCTGxKNOJBgMU1hYghpQ6di5nG7de2OaJr37DuTeh/5Bz179CYXD3HLnHzhs3FEkUwkkUWp1w3gunnAkyoWXXEOsoMgpB5rNcuY5FzLi4LE0NtYz6cjjufXOxznmB1MRJZmrrruXoyafTLylmVAowu33/IkRB49DVVUuu/J2rr72boqLO2DkFdfwDKNpn7zDIWMmMOHI48lkMhQWFmPbNolEi1/IqB0L0C7/i5Kf2y9KEplUC+HiMk69+GGOPPUaZET0dBJJlJ1c+oCCqgZYOf8dXvrjZcx6+6/oyTjhaBGSJJLJJhl70uV073sw2UzSdy/LoSDTXn+ExZ+/RCRW4gKT7e/82XMQ5w4+SQ3FaNqxkTefvI5kcz1yQEVwPdK6meXIM66mtGsfZCWAlk0x/bU/8sJjl7NiwcfIksPNYZkuZXomgSzITDzpSk664EHUSCGZdMIJCdhegl3bEG9tlCWF7U3baMw0uqydXujCy5F06vsP6DrYASTmAzK+SbvuqyRJtKSbWb9jrVPoCSt3I7p4CM0w6NKhGwO7DSajZ31gYluUb2UAeHFo0zA4cvJJRGMRGhvqkUSJyVOm5uIzXzHxvhGRTjFvzjTGjZ8Mtk0oHGb0YRP58P1XOejgMQw76BCu/dWPeOTBm7n52gs4YtJxDBg0lEQijiSrzJ83g+t+fR5///P9jJ94NDOmv8ct1/6Ye2//FffddRW6luW9t1+koaGWp/7yIA/99joqt23hgkuu5c1Xn+WKi6Zy09Xn88Sjd3DG2Rf6YL9dxoyTlZBIJPDY9xActjxNcy62bhg0NzfzwN3XcOdNv+D5Z//M5ClTSaXiHDn5RBRF4ZorfshD917Hm68+gxwI+r/15hW3nSMnn8S2LZu44uo76Nt3EPGWJiRZZspxZ1BSkjMa2qVd/ufEdnLERVEkFW+i/IDRnHHZY/QbejjZVBO2bYIoYtoGwXABLQ3beO2f1/LWP26kpXo74WixE7/HJptO0G/YBEaMOZlUst5hzDRNwpFils17m/mfPkcoWuSg4F23rrMz/u6ePWftyYGUg+ECajYv59W/XY2ejaNIMoItYBo6kUgpk069Blt0cEiRSBHN9RW8+eQ1vPHMjTQ0bCEcLcp5EC2LVKKF/kMnctavnqBrvxGkEo250sVtZJPh4SIkQaIl0Yhh5q+brTOnBEAJBHLK91uMIafEnbbmrZ/nZjrgow/9nAbbRhEDdC3p5oSQdgZJtiHZLyBAG5t0JoWiOBaSEnCIVPYmTu1Z0WowxMzpH9GzV386lHWiV++BFBQWMWfmJ4wYOYbVq5ZQV1dNj559qajYSMXWjfQfOBTT0B3q23nTKSoupbikA7NmfMaRR53MA4+9zMlTzyMUCqPpGpFoAaIkUVBYTEFBEaUdOtKpUznDR47hd0+8yO//9DJHHzuVktJSCgqK3LKRu+2169nI2caiKPnAIlUNsnTxXHRdo2Pnciq3b0UJBJBkhb79DmDJorlYlkXXbj1ZtXIJ9bXVKIEc/a/gGhQjRo5lwqQfcOVlZ/Hhe69y9wN/I1ZQhKIEOO/8X/iYgXZpl/8VaQWmFZz0t3QqztBDT2Tqzx6gqKgb6XgCxACW5cRsVTXCklkv8eIjl7BuwTTUUAw54JD5CIBtmijBKOOPv8xf5C3bIhAMs2nNPKa99DCqGsaF3OcUzvcw/hxG0DUCooXs2LyEz994FCGgYgkmkiCipRP0HzKRAw49nnSqBQBZCRCKxtiw6BNeeOQXLJn9MkE1jCCqmLbj4Uylminq0IPTLnyQQQcfRTrZzK6j/f7XHFESSaVSNDY0oIhy3jrolXsXMCyTfuX9UQPB/ZOP7xoYsqywqXId8VSLywsAuToIPi0RA7sORhbkNo0D+FYYAM8do6pB3n79eQYOGka37r3ZsmkL/37h77sg47/qPKoaZMP6lTQ01DB8xGF07tKdjRtWU7WjgmAo7OTBu4hKz+vglXZ10mFstw5/mNkzP6GlpYnDjziWH/74Mn5wwpncftOlmIaRh3DNla1dtXwhVVXbCLglI9996wV0XXMJL3btr2NpWm7Mx4mlWXkkKR5QxSEYMRGlvJLAougCenLnsyyLfNJMQRDQtSwHDh3J+rUryaST/OvZP1HerRc33/koc2ZOY/XKFVRUbCIaLWgHBLbL/4Tku92910wmySFH/5BJp1yFpmVdam0J09JRQxEyqSY+f+lxls15HUUJEooUOMA9cFH7TuW8w4+/iE7l/ckkWxBECVsUSesJPnv9IfRMkkAoiu0VpmkD4qcJmwahaBFLZr5F14GHceDo4zDicQRRQMtmOHjs2axb+AmWu57ZlkUwXICRifPus3dQsX4xE0/5FcFoAVo6gSzJ6OkMshzixJ/eT6jwIRZ//m+Cajg39vz8/u8YBOiJJErEMwnq4rX0kwaBns2FhLxu2jahYNjdmO2HS+eu64qkUNtYTVVDFX269sPUMwi2U5PBUf5ODZleHfsQDITa9Pr8rQwAD50aCKhs37aJG64+n85dyqmrqybR0uymzH394L1sAE3LMnPGRxxz3OkEg0Hef+dlJEmmYutGxo0/BkmSqK2tpKi4A1279aBi60aXQMP0TuT0C4GZ0z9k2ifvEInGeP6V6Qw7aBRrVi9HlmTiLS3EW5owdJ1UKkFLSyPPP/0HCoo6oOtZYrFCB03sGhXuyf2YezabcWljJepqqygsKqFL1x6uG995yGzLzh+gPw9bN6/n0LFHoms6OyorGDt+Mh07dXUMjrwnSRQlamuqmHj0SQQCKtlslttuvIR7H3qKy678DT//8VRnpG30xmqXdtmfsovytxwGu6PPvolR484gnW52F2AJ27KIRArZvH4uH730APXb1hEMF+KB6PJTs0xDI1bcmaFjTsHQ047ytyzUSJTpbz9N9eYVhGNFWGYOENcWJLcZAmzH1T3rrSfo3mc4sUgHLEND01N06jaQAw87gfkfPUM4UgS26WRBSDKhSAHLZ79O9faVHHvWDXTrezDpeCOiKGNaBroBk8+4gaKOvfn85Yccoi7B5SHwZsJTtt/1BLgeC1uwc3UA7Na2CeBvzPbLKumutaIokUi3sK1uIwN7DCCrWXg7Ot/7YBoUFpZQUlBCTVMNyk5cJ21FvnUIIGcEBDFNg82b1pFJp/da+Xvn8MCAX3z+IcNHHEznzl2YO/tzSjt0ZPbMT8hm09x0x+OMGXc0t975OJXbt7B08TxC4QjRSARRkhBEkXQ6yWln/Ywrrr6TY487nfN+egU2IpXbK0jEW9B1nfMvuoqpZ15AQWExzz39Ry645DdcdcODHH3syfzq6ru55PKb0DRHyYcjYR9hHI1GkRWFhvpaKrZu4PIrb2PylKlcesUtlJd3d3EDFsFQiGAw6OcPy7JMOBwiHI7yyYdvUFRcwm33PMGPfvpLfvjjy0gkWpzfujeyZVmEI1G+mP4h6VSC+x95lqOOPYWfXPBrios7sL2imqln/pRQKOwbJe3SLv+tsnNlP9uyyGZTHHX6tYw64mzS6bizANtO/f5gKMqS+a/z2l9+Q9OOzYQiRXiUu7lnxUtdTjN41LEUlHRD1zQnfquq1GxdzpJPnycYivp15D1A3N722XvN1REQXB3iIsaE1sfuq3jnsm0LWQnSXFPB3I+fRlYVh7lPEND1NMPHnEq0qAzT1D23h4OfsCxCkSIatm/i33+8hmXz3yEULcLrmGgL6MkkYyaey8TTryKTToG7Ifq+DSEPa7V62wqnpDEePa/7PwK6odGtuCedijqjma03WN9UXLYEbNtmS80mRNu5ll7bnpiWSUE4RofCDphW212jpZLSrrd/25N4D4coisiy0orlaZ86I8m0tDgW6OKF81iycBbBYIhsJsOCudMZfMBwDht3FBVbNvLnx+9G0zIoioP0X7FsIelUEhAIhSOMOHgMQ4eNoriklKef/D0b1q9CFATWrlnGwMHD6NGjD+vXrWDxwtls2bSOw8YeyQFDRhIMhZg75zO2b9tCLFZIOp1i1crFBNUgSkBlxbIvMU2TFcsW0m/AgYw+bCKzZ37M8qVfUrWjgh3bt1JaWsaOygq2bt2ALMmowRCGbrBm1VJSqQTz537OoANG0KGsM2+88jQHHDiSObM+obmp0QVOeh6RDLO/+ISu5T05ZMxESkrKeP2Vp3n5+b8xcvR4aqorqa3ZsQuTXru0y7cRQRAw9CzlfYbTf/gRbFw+m4r1C1ECQb6Ppb9VFVAbDCPDhFN+zehJ55JONvq142UpACh8+vajzHjtcSRBRHbLeOcDw7wwolMHX2L8iZcTK+yAZZqAjRIIM+31P7Jj81ICatgv+LIv61l+XQJBELAMHV3PYOo6hp7FNHVMQ8e2LERJRhA8PM83LTFuIykBaravpefgQygo7oJpGZiWRVFxJ+qrNlG5aRlKIOSOR/DnQFICWGaWNQs/JpNK0WvQYYiCAJYDosxqWXoMGIUcVFm79HMO6j2Kkf1Hk9Uy/vgAxxMhy9Q11/LxovdbsaHuT7Fth6wpq2cY0GMwoweMQXPR9t51diYGJEHmo0Xv0pRs3C050b437oagTQNFCXLE0MkO2BRacQ5Ytk1YDbF2+2pWbllOUNlPOIT9LPuNCyDfsm79fu/Ee8BlWeEff33YKXoRjmCaJgFVpb6+mgfv/Q2yEkDXNcLhqJ9X/7c/3U8wGHYxAQLz5kxj5vQPnO91DVlWCIXCAKxds4yld84DASKRGIWFJSyYO505sz5FUQJo2QyyEqCgoIilS+bx5YKZRCIxGhpq+fufHyAcjqCqQRrqa7n/rqv9nbsoikiSTElpR959+0UEQSQYdIBDG9atZNWKRYRCEUIhJ1PithsuJp2Mc9Z5vyAcibCjsgIl4NT597wqSkAlHm/m8d/fhiIHMAwdWZZRAir33H4F0UiMQHtRoHb5LxYHX+X5ugUyqWaOOftaRk36Kcm4i1K3bCRZQbcNPn75YZZ/8RLhWAlgt2KB858QV5lnM0n6D59I115D0LIptxBYhM3rvmTtok8IhqNfm8W0m97minkJIlo2iQUUlHSipENPBFGioLgDhqaRaGkgm45TX7URPZtw6hCIucypfYlbe6mQ2UQTy+a8SZczh0AGBMHCsi36HTCOZbPfxNVgeSX3BdcIUVAlhbkfPkkmG+eY069FlFRMM4uEiJaIM/7o851ddEMTtm1hCi4fnl+c57uR3PUQEEz3/gAfj9Dao+JkDOzXtm2QRJnGRB2amUISZN/Lk5sG512XWLlL//zdZozsrbQZNsD8nNporAAgV7PfslCUAIGAilM9L4KdF1ePRgt8Vxs43+M+vEFX8XuxfFUNEgqF/eMtN68fXNBIKIITK8y16fBxS347zncKgUCg1UPqnc85R65NWVZQlACWZWGaBtfe9CCSJKNpGkOHj+avT/yWVCpJJBLzY5TeuGVZ9nP/80GVhYUlu3Frtku7/PeIp/xtwaGBTaeaOWzKhYwY/0NSiWYH3GWZKGqIZLKB1/5+DVUblxEpKPHptneu0OcrBxer02fQYUiSjO5+L0oKq758F12LoyjF2Ja5D4t3btdvWQa6lqFr72EMHXsyPQcdSjRaCgJufr3jhteyaepq1rNy/vusnv++Azj0WOTcc+6NeOtFIBhlzYKPGTHuTEo79sYwkujZLOUDDqZDj340bt+ErOQ8ObnwirNWRQtKWT7zVZprtnHST+8nGAlhZbNIgkwqnmTE2LOINdfRoqeRBP8q7Tb+/p8UpxaAxMZt68lkM64XKH9CHDd8NBilV5derN2+CiGwf+h5bWxkSaahpZ6ahmp6lPVCM7LkXyvBzSTp1qWH79Vti9JmDACglYLLf7/z5zt/v/v3uz8WyAP25TAMvuvGshCE1sr2q9rJLz6xu+Igrc/rUEY+9/QfGXTAcCRJ5l/P/JHNG9cQDkdztKN7mI/WVQmtXcaVLzsbBv9pQ6HVPJGXDLOP7X7X/W6Xtim7U/6jj/wpE078Jdls0l1gTZRAgEyqmTf+fh1VG5YQihTl0vt23vm74mQR6URLOtJr4GhMzSFtEZUAjXXb2LxsBqoaybnKv66vrQCKIoaeRZQUxp/8S0ZNOpeAGELTMhhGxgGI2Zr/W1GSKO8xhB69RzBk7Gl88vJ9VK1bjBqJ+nX+92q+XHyCJMmkE01sXDqDzlMGouspbEsnHCqmvNtB1G5Zg5KHTPefLUFA8DYw4UK2rpnDm0/fyNQLf0tADqGbOgg2tmWQKCymIpult2Vj2w4lri3YYH1lF/e7CIJAxsr4rnVnD+6tPm56tiAiS9+8DPCeRBRFMlqGjJ5xsivI99YIfj/w/22bBsD3ygYIrZWbZVlYLguW9353ym93v88p3n2baO/hNU3TRfHjpvt+9Xnyy/DqWhbTNFop/1yajukX+fFi+5s2ruH1V57hlRefZMvmdQTDucVmf0j+gqRls1/Lfri/2vPmENsmm03v1iDam/NYluXzOPwn+90ubVPyaqs4xC/pOMPHn8uk065CyyYcwwATSVHQjTRvPH0dlRsWEYoU54zoPShuzzWv6xm69D2IWFl3dFPHxkYJBNm2bgHx5lokOYBjwO5Fhz3lL4qYhoYaK+TEn93H4cdchKllSaUbsWwNbMHffPj3tG05XCTJFrp07sPZlz7BAYeeQDrR5DP0tTp+j11wxuykN8usXzOTrJZGwMUH2TY9+x3shBh2gzMQ3HF49QXCsWIq1szizX/chGYZCLKEheF6Nyy2KSKbRRBtyS2D+90b6d79IQit6Qm9e8c7plWFwP0kDghRp6JqI5IoQSvV48yvZmTpWdaH0oIyjN0w3bYF+d4NgG8jnsIwDJ1EIu7e1PumMDyFEw5H6dK1h480/rpdp+A/LBZlnboSiRa02sF734XCEf+8njJT1SCFhSUUFpU6fAmeNf5tJmOnvnm7kfLuvf7jOAFv0YhEY3Qt74kkyXTv0RdZlvdpB+/NmRoM0bVbz1ZGVrv874iHsnZIa+J07jOUSadejpFNAY4LVpIDCJbBW0/dQMWqBYQihVhWayN8d+IrVMukc+f+iEJepTgstm1ZhK/1bQ+1v2fxPBWOsW8gKSonX/AAA4aMJ56oB0F089AdAyMUKUINFRCKFBEMxXC4BtyxZtMIwLHn3EC/kZPR0gknLXHfwADIgSB129ZTX7MJOaAgIGDqWbr0PZBocScsQ281FzuPyNu4hCJFbFz5BW8/fSOCaDuEOn5YRWJbQKFRsZG8qyJ8h/XuXC3vsLjmj8Xph4/Iz0sTdL/91k37qX6WQV2qxueNad05p38BRUUS227Btu/dAPAWfVmWufG2R3jsL6/w8B9e4KHH/sWf//kORx97KimXac873qPYFQQBXdfo1r03J089z/8+p4QdikZBaE3dC7j0jSKiJJFOJzlw2MFcff19mKbhn9/7Te7VaztH45tOp7jmht9yxMQpJBJxH/kqSTLZbJoDhx7M1df9FsN96LzvLcv0wT6tUM55Y9y1fVr1bec+5tMfO6RFKjff8Ridu3bHNHSfaGjXUIpHhbwrbfHO7e0uPCNJEulUitGHTuA3Nz5AcXEp9zz4FB3KOmHoOiDs1dgkSULXs/TpO4jrnJ8o+wAAIABJREFUb/kduwJKd0+9vPN9sS9z1i5tT7zdtK6lKejYnZN+cjeyKGNZzi5KECVM2+KtZ25l0/JZrvI3d7nGuxMv3q0EgpT3HoJpOuW8RVEiFW+hcuNKZMWpyrlXysJ2088EAS2bZtwJl9GrzyiS8UYkUXYwQoqCrIaorlzL3Pef5K1nbuXDl37L2qUfomtph1XQtp10Nl1HQODYc66noFN3jGzaLUi2d94Iz3DS0nHqtq9DkgPY2BiWQbSwIx07OwQ2e56jHGDNwUcVsX7pNN577m5sUUIUwXJT30xJYbUi0CBkkbBzu2A7tw7/p/4HkCWZZLaFRLbF2YW3vtAAmAhIkur/TkT81m1764kkilj2bgzOnP53+inKee/alrQpDECP3v15/+2XWLZkHsFgGFGUqNqxlWAwRDIZd9i+DAMtmyGgBolGC8hm0hQVl3LCSWfx0r/+iizLxAqKME2TlEu5KwgC4UgMWZYRBIFsNks67dD/BgJO9T8PMKRlsyQTTluRaDRHiCGIpFNJNC3jni+KogQIqkGe+uvvaGqsd8GJkM1myGYzpFNJB4zk3jimaZDJZFqx+SWTcYLBELKskEwmUBQFLZtFNzSCwTDBUNhB6Yqif05BFJ3yxppGOBxBEEQ0LeOmQTpxxVAo7EegLNOkqakBNZMmFArnARtFdF0jlUxg2w75UCjkhCO+qj3LssikUwQCqtPngIISUJkx7T3WrVlGU1MDt91wEVu3bHBTFG13bCrZTBrTNFBDYYJqqFVbmUyaTDrlVHb0+m6ZpFIJwuGo+wBCMhEnoKooSsCfM13T0LQsajDkgzxFUUTTnPEJAoTCEXRdc+8tsd270EZFEAR3Fy4w8ZQrKe7Qk3Sy2UXIm6ihAt5+7mbWLPyQSKy0NWvdXpzfMk2C0SJiHXpimwYIFrISpnLLUhprtiIrKt5OeG9EFESymRTdB4xk2NhTSCYbEWXFASgGQ7Q0VzHt9cfYvGIWejruhwwWz3iJ4rIejJlygVPBL5kGUcTQdKKRDhxx/GW888+b/bVpX8S2Laq3r2eI4MboAUlWKOjQBTwOkz2I44HJMwKiRayY8zZiIMAPzroJO5vFcj2WKUlkS1AilhURXPyUZZuksimkr0i7866V5673N+xfNaa8Yzwv0ZbqzdS31FHYqRTDrbvvpAI4x4oI9O3Uj3Q2iSLJrSq2fhPx+y0IpLUMS9cvRj9CR8wLQ3hjMk2d4mgJA7oNZkvtJlQ3FbAtSZsxAGwbDE1j9YrFzJs1zXepq8EgIDBy1OHU19XQsVNXRo4ex5fzvuDLeTOIxgo5ePR4JDnAOef9AsPQ+fSjNwmFI5xy2o8pKi6lrraamTM+pLmpAU3L0rW8BxMmHUcoHGXNqqVMn/YuTknQNOXdejHlhDNpbKjlo/dfRdM0ZFkmlUwwfMShjDp0Aol4Mx9/+DpNjfXIsowkyQhuLCqdTtKn7yCOOuZkNqxb5dMFm4ZBx07l9BtwIAvmTQecm2jCpONZs3op9XXVjBl3NFu3rGfgoKEMGDSMmdM/YOXyhYTCEVKpJOXdejH52FNpaWlk5oyP6dtvMEsWzyGVTNCte2+OmHQcwWCIbRWb+OLzD7BtG8PQUYMhzv3J5ZSUdOCD916hqnIboXCEdCpJaYeOnHrG+cRihcybM41lS+YTiUR3317/wSxaMBNZVhh1yBGsW7uc08++kMbGOhZ/OZuefQYwb/ZnBAIqW7esZ9z4Y1m5fCEtLY2MG38sGzesYthBh9Cz1wCmf/YO69ascMeWoHvPvkw+9lQqt2+humo7lmlimSaxgiIOHXsUX86b7mNCDp9wLJs2rmVH5VYOG3skldu30KNnP4YOH82cWZ+ydNFcQuEw6XSKjp26csx5l5LNppk+7T169xnE8qXzyXrI4XZpU+LtYDPpFgYOm8yAYZNIJZsdN6plEIoUs2DaC6ya8xbhaEkeAGwvo7yCgGloFHXsTrSgBNPUHGUniqSaqzCNDIpS4INsv66vjiHvhMAPGn8aiqSQ1tKIgKIEaW6u4bW/X0PthhWEooXIkTwCHtumpX477zx9K3XVG5hw/GVk01kQZbLpFAOGTuLLXkOo2rQUJRhuldK45+F5OACFmsqV6FoSSRCxbBMQ6Vg+FNt+eW+myYfTWbZFJFbE8i9eo0uPwRw8/mzS8WYESURCpEEOsM2y6IaJjkVYjXJQz4MRRGG/FN9pLU4pHgGwbBNZUggFYjnGP3CtFxBsAcvU6VLYiZG9RxNS3SwA92axoVXxIFvY8z3knhIH7mAj4tRH6NOx327vFUEQsGzH+6jISpv1OLYZAwCcSSssKqasY2fCkairwAzq62s4Zsqp9B84hFUrl5LNpLj+lgd5+P6bmDvzE0pLOxJQg3Qt70k6nSIYDPGbmx7CtixWr1rCwaPH0VBXzQfvvcLoQydw3S0Ps2LZlzTU13DMD6aydPEcMukUXbr24MJLr6emajvHn3QOAwYN48F7f0M2m+Hkqedx+tkXMnP6BwweMoIJR53ArddfxI7KrZx/4a+Y/tkHPPvPP3DImIncfMdjzJ/7OUOHj6b/wCHE401OqKJHL87/+ZXMn/u5M15R5IKLr+KRh25l29ZNnHbWTwhHCtmwbiWiKHLr3U9wx02/YOniefTqM5C7H/g7q1YuIhSOcP3ND1FYVMTlF51Gp07l3HzH42zcsIqa6koOP+JY1q9bSWXFJgRB4OeXXMv6dSspcl3zN13zM7Zv30KPnn255a4/snXLeupqq7j+lt/x5F8e5P13XqZf/wO46/7dtPflbILBEBdffj3VVTtoaW5kyaI59Bt4AOeedykL58/Atm1isSIuuvRa7rz1CurqqjnnvIuwbYFNG9egqiHuuPfP3HTthaxds4x+/Q/krvv+ytLFc4lEovzgxLMwTRPd0Cnr2IULL7maxQtnYWYzWJbNjy+4gmefepx1a5Zx4innUNaxK2vXLMeyTG6+41F+e+dVzJs9ja7denLPA39ny+b11FRXcs0ND1BW1pFrfnWeS1XdbgC0NfFc9JKiMmTcSU7ZWsFNcQvHWLnoIz799/0EVCeVTcBBou+rI0eQJARBxLYNBGxEUaCuaptfwntvwu4e8E7PpunSfRB9DzgCTUs6NOJI6JbGu8/cRN3m1YQLS7FMw+ETIAczkJUgsmwx9/2n6NL9QAYMnYyWaXEAbnKAASOOonLDQvaWztbDJIiSTKKhCi0dJxAoAMvCMk2KO5T7xYC+1pjAU5BOMCQYijHtlUeIFXVmwJCJrldGQkSmQtYJWxIdNJ0upd2454LfO9dtN94Lp4/Oua08Bey3t8dxeUrbzQ5xMx9My1krnHZyF04QnV36gX1G8tDFo/AcS4KbteD9L1oigu18tieDxcZ2DArBwhadvwXLOVbPo3H3j/dxJHabVf7QhgwAD1V50aU3cu5PLgcEQqEwTzx2Fx+9/yqWZVNXW8Nv77yS5qYGrrrut0w57nTee+tFPnj333Tu2p3f3X8DhqEzctRYupZ349zTJlBfX01RUSnFJWWEQmHOv+jXfPzBazz68C2EQxHCkSiGYSCIArFYIc8+9QhfzpvB8BGHce9D/6C0Q0cMw+Dkqedx7ZU/YsnCOViWycN/eIETTj6HRx++hWQqjaZpmKbBOT+6hM8/fYf7774GRVG47Z4/0bvPAKcGgGGSSCRbjTuRSGKaJjYWti2wecMa7rntl2SzGe558CmOOuZkpk97j9PP/hlrVi3mpmt+hm3bXHL5TUw54UwSiTjjjjiaZLKJX192NrIsU1RUQjRaiKQ44ZCZMz7kiUfuRJRkHnjkWU4762fcectl3HzHo8yY9i7333U12PCDk87ioktv4N23XuDU03+yS3vHHn86pmmgGzqKEmTGtPd47p+PIykKk6dMJZ5wQgmi4Lgg44mEs5O3TBAkVq9YxIP3/gbTNPndH55nwpHHM3/u55z9o4tZ+OVMbr/xEgRB5NqbHmL0oUdgmSamZZKIJ1yXnoAg2CQTSQzDiQebpkVlZQW/vf1KEskWbrnzcSZPmcqH773CL664mR2VFVx/1U/QdZ3zzr+Cs390CYa+f8qCtst/RkxDJ1bciU7dB2HrTjaIJAdINtUz/c1HESXBr9mPsG/K39vRFhV2RJZkNF3Di/an9FTekV/vU3DudRHT0OncewjBYJRUIg6CTSgSZcmsV9m2diHhSDFWXpZQ61cLQRCRZZWZb/+Fbn1GEgioGJaFbWj06D+SQNgDOH69wer1WJJkEs2N1NdUUt67FDOrY9smkUgMaR/AuV52gIfLwND59KX7KS3rSWFJuUOEI4hookKlLFBsGki2jWHumab82xsA7i7cFvwiUflzKjgXBwSvUJGJ7oeJHOVtk2cA2PtiALjFpWwB0RYdT8Nuxin4LpS2vc60mS2QjY0sy7zw3J+5+7YrePj+67n79itYt3YFATWIrCgsWjgLgA5lndhesQlVDRFQVULhCJIkUVRcSlnHLlRur6CmqorH/vIKl115OwMGDSMeb6asUxeKisuY9snblJSUUVzSAUVRMQ2DgBpk65b1bNm8nvLuvWlpaSKVSqCqQbr36EMkGuOc837BI396ift//wx9+w2mS9ceiIKIJEqOmywSo2OncubNnkZph45EIjHmzv7MARoJzp29865TFCXnprOdv79c8AXBUJjCwhK2V2wiEon5fZg3ZzrRaAGlpR1ZuOALstk04XCU5UsXEiso4c9PvcVPLriSzl26k04nkSWZdDrJ/LnTKe3QiXAkwtzZn9G9Z1+KizvQpWtPBg0+iIf/8DyP/PllTjj5XAqLiujUqZwu5T2ZP3dGq/a0bBZRlJAlmVQyzqIFMykt60QkHAXbRvKAhO7YJFHygTO2ZbNwwUxisUKi0QK2VWwmGo0RCkUo79aLubM+czMjSpg3Zxqa5rCXCeCDF3NzlgP7KYrCwvlfICkyxSVlVGzdRDjs4DN69RnI/LkzUNUQHTt1YfEiJ1wiyXIbheS0C4KAbZkEw4XISgCnOC8E1CDrV31BY/UWZwfrucO/wYW0bYtoQRfHiMBGECSMrE5L7RZEyQFs7WvMvWOXXs56LwoIooimp1k1/z03Dp5j+2wNVPR2qxayolJfu5naypVIgRC2AKZpEomWEY053oN9EnceTdPMBaUB0zb3eco8UKBtWShqkOa6Sj79930gGE47gIBEQhSJCyLi1yg+wf1HACTbUUKCkPvsK38jOMdLrvLffR4D/phz2YkeIkrwlbaIiGRLuc++Ehfhrt8ISLaEiIP8t9v4Dv/rpM14ALyUjqodFWxYtzKHAVCDrQBbXtaAKEm5i2y77Hu2Ww4zm+a+u65i0tEnMmzEoZx2xvk8+vAtrF65xIkdWZafmuNkCQh4uf+SJPkEOw51r5O2l04lWTh/JkogAMCypQvYtnUjIRcUBznFZFomICCIghu39hipchW3vBKmXp1x3AfMQ+NblukcA3kWrlfT3OmrZVoEAgF2VFZw582XMfGoE5h01IlMPfNn3HPbL9lRWQG2W/hIcObXq1cgyTKyorBm1RI2b1rnYC1s+Oj9V0inksiSlJdTnZ9B4Sxahuk+/DZuHNalOQbXIMp/MLy666Kfl+tcU3fBFER3oXJihn6GhDv23PxK6Lqx03mdcQl5c+Yt4IK7CAre6mJ7tM1t2yr/Xxbv+QxHHQPA0Ex/51e5cYl/5bzY+zfdYNmeRgFEJCxTJ9VU74YFWmeY7Lmz7veigBQIumuIQ/6ViDfSUFeJLLsZBbtVbrldoiCIWIZOxcZl9Bx0ONiOsg5HYhSWdqSxdguyon4DZePsXP13Iq0Mgr0R73BB8NIDC9mwYjbzZrzC2Ek/JpNqRsbAEASSokCp5U3PV4QA8rog5H22TyK0Vtm+cZV3Vq8kkCC07o/tf+dmGpH77KvEdrMd/lvAw23GAwAOOtdHg2fTZDIpstmMr/R3jrE4ruUcYrW5uZHmpgZEUWJH5Vae/OuDXHjuMbz52rNMPfPHVFdvxzB0BgwaRm1tFYlECy3NjX7Kj6dovEtrGiayLLO9YjNqMMSSRXP41zNP8NrL/+SVF55k7ZrlyLLiGwzJZIJEooXefQbR2FBLc1MjffsOcpUSZDJpQuEolmVRW1NJYWExxSUd0DXNNRws8nSbjxjVshlqqio5cOjBNDc3UFdbzaDBBxFyuRJkWWbNqiU8/rvbOPeMI9i0YRWTp5xMIhEnGArTq1d/Gupribc00X/AEBob6mhoqCXR0kQmk+aFZ//A6/9+mpee/xszp39IMpWgtqZqt+05c+QYH+6VcAGUKaKxAnRdo7Z2B8XFpRQWlaDrOoLALtfPqUsAmXSapqZ6+vYfTFNjPU1N9fTuMxBFcdKXtGwGNRgCoLamkkgkRllZZyeVSRRcbve8h9h25tA0DCq3beHAYaNIJFqoqa6k34ADKYgVYRptsyhHu7iKQBTJZpKYuu4boCDQsUtf5wjBU9D7ozWwBQsEw8lnd8+51+5xnDCAJAewsAALSQrQVLeFdKLe9SiQC/rvfA4h7zsb4o3V/rl9l/fOZW73QQRstyKi+4zkQ+736Tw5sbFRZJXVc94klWxAEh0vhyUINEsSuuAV47FcMKHt/3LnVxuLXAU/75Pcb5zX3DF2q2Nan22XPud5W/zrmTcQ2w/+5MTy28odk/8K+BTE/nn34Z5pa9JmPABOmlaQE07+IQcMGenU4VdV1q5axvvvvkwkEkF1uQBsGxRFIRwOI8sKldu3UNKhjIsuu4FNG9Y4oMEfnMbihbPJpFOMOfxoFn85Gy2b4ZWX/sHPf3EtoVCYxoZaBgwayov/+isCEI1GW7mNotEw4XCExQvnMHvmJ/zujy/yr6f/QCaTZvRhE1j85WzefuNfRGNRN7XO5J03nufnl15HIt6MGgxy9JRTaWqsIxQKs3nTWixT54qrbmfOrGlMPOp4CgoKECXHGxGNhlEUxQeOqKpKKOSwEL7+yjPcfu8TXHXdfcTjzRx+xDGkknGy2TSjDjmCQw6byPy50wmGQvTpewDTP3sfVQ0iiXDqGT/FMHQKi0qYdPTx3H3blQTVEM8/+yduuPV3hEIRVq9aQt9+gykoLObPj9/N6688zZ33/aVVe4m4A/oRBJFYLOrs4l0Pybo1ywkGg1z6q1tZtnQ+Rx9zCuFwCElydlSRSMQvDGTbNsFgkGAohCAIvP36v/j1tXdRX1eDaZocd9LZYFsEg2G2b9tCIt7EL6+6nc8+fofxE6dQXFLitx2ORFxOBucBDQQChEJB1GCIt19/jnsefIrrbn6Y2upKxk04lpaWpl1CCu3ShsRFTqcSTeiGTkCRwQZDT9PnwPHM/uBJTD3jKFbbKxW8b5KrW++qcAEEwcZynEeOgbEXhTmdQ93KlVraqUqHszGJxEoJqGEMLeNvAPZ8jpyEIsWIguBT2mJZYOjf0NUhIAgBbw/sj/VbiwsyTLY0kE42oxZ3cbyeto3petucysBey57Kzhki3ns3Su9mUljuJ67a9zM83GMA/N+57zwPw268DX68X3DO7+EF8pW5d/dYeG2Lbm/zvLY7GQHORsNufeF8o/T/LyNgv9AB7w/xcvVjBUUUF5dRUFBEh7LONNRXs3rVEjp06My2ik1s37YFWZIIhSJkMmnWrVlBIt7MtorNDB9xKMUlHVj05Wx69OzLiJFjGXTAcBYu+IKXnv8bkUiMNauWUFO9g/ETpzBw0DDq62tZ9OUs1GAI0zBZsXwhXrGHSKSAFcsXomlZvpz/Bdgwbvwx9O13AC3NTcyZ9QmpZILi4g5s2rCa5qZ6tmxaSzzexDE/OA1Zknnj1WeJtzSxds1ystkMq1ctZdQhExg0eCjvvvUi27dvZdOG1bS0NFJcXMaGdauor6tGFEWi0RiNjfVs3bSOurpqVixfyKhDxqMbGp988AZDh43iw/deBeDAYQcz7KDR9O4ziPfefoHPPn6TaDSGLAf4+MM3GD/hWPoOOJBnnnyUBfNmUFhYwpYt61i1cgmHHDaRIcNGEY0VMG/ONKqrtlNbXblLe0OGjeKj919FEARC4Sgrln1JJptBlhVSqQTr1q5gzOFH0bvPQN56/TlqqipZv24lqWSCoqJS1q5ZTnNTPYIoEosVUldTxfZtm9m+bTO1NVUcM+U0otEYr//7GeItTaxetRTD0Fi5fDEHjRzDkOGj+Pj919i8cR1bN2+gob6WkpIyNm1cS03VdiRJIhyJkkzE2bhhNY2N9SxZPIcRB49FlhXefetFhh10KJ9+9Ca6rrVnAexBBOH7pQMWBYlMOk6vAYdQ0qE7hqU7KaGFZQiywobl0x13uJBz4+6tGSAIArqepWf/UfQYMBrDAxkqQTYs/4Km6q3ISmDvOmp7tf8zDBg6gU7dD8QwNMd4DUfZuHwG8cZqJFnZc+/ylIZlmxxy5HkUdeyFYWQRZZlMOsGXn7+Ank05ILx9EMs0GTRqCkWlXZxCYLJCOl7Hsjlv4RgH+6asvDAACJimTqSwEyOOOB1RdIwxS4CwodHRdEJtzu7e8dA5O3drN6+m/w4cRWziGQi4itj0d+v5v3c8pDnKZfz+eVYcLvLf9sOg9m7+s/LaMt22/Dl0v9v5N5Dz0Hoh6lz77nzZNqoSZNbK6ayrXIOqBHfxOHzfIvQdMOp77VE+KjaVSmAaRu4zyyIQDBIOx0ilnOI8qhoEQNc1nxYYIJ1KktWySJJMKBRyqgcqThlMwzCIRGP+gp9MxLGxkUQJXdeJFRRiuuGHSB4zYCqVIBgMu2xOFolEi5P2IjoFg8KRaK4YjqKguAVEksk4HtpYcokoQm7xmUwmjaFrgOBTCasBB+SYTMZRlACKuwBlsxlstzSuEgiQTiWpqaokk0lx852P07ffYG685mcE1CDJRAuqGsS0TNeb4DAXptNJN3bnbGlEwSli5BUCSqWSGLqGElDRtCyyJBMKR/bY3g3XnE8kEiOZjBMKRfLwGU4YwHOv+2NTQ0iSRDKZQFVVtzCQQDaTxsb2KZNTyQTgWPSS5BRfCoXCeEWOPD4FbwEKBAJ+ISBZlv2CTprLyxAMOt6UbDZD1Y5tZFJJrrz2Hg4bdxRXXX6OzyjZLruKIIikk82MPuo8jjvvJj564WFmvf83QpHCvcqP/zbi1QFIJ5sZPu5UfvDDW0kl44iShIVNIBjh/f+7leWz32pVAXBv8QCCIJJJtTB60pkcedr1bkEwCzVazEfP38ui6f/KEQp9zQnz+3roMT9l4ilXkknFwYZgJMrcT5/h05cfcooV+VkArfvpoeuNbIZIWTk/+tU/UNQglmkgB1QaazbzwqMXYenaPhkAtm0hiDJnXP5HOpUPQtfSKEqIpqr1/N8jFzgm0zfYrXpjTsbrmXDCrxh3/EWk0y2ISOiiTbdshsGGiKqGEQUnswlbdEF0edF/WwDBAvcYARE8lL0gINre7t1CECzneFv0YiZ+2Ne2bVLZZF5s3xHP92DZDnNfUAnucYee8xRYWIKH8JfALW28O+PSW/NMyyCjpXfBO9gu3igWKuDhV+7h3flvUBAubC8EtLPk509GowWt3nt/W5ZJOBxthbjMp+oFCEeiRKIx/5ii4tJcTN89j9+OSzds2xB2LURZllGUWCuWrBzNsPNZQUGRH64Lh2PYtkNeFIlE/eO8cez8oHtER8FgCIKhVq4/z0KNRGKt+ukBILVslqKiEm696wka6quJxgrp0bMf9/4/9s47zq6q3Pvftdvp09N774V0kkAg9I50RfQqKiKoqPACF1EELooVUUABEa6o9F6khl7T+6RNkkkmmcn0OXW39f6x9z7nTBoBg47cefiEKWeXtdfstZ72e37Pdd9FVVUMw8CoqMJ1C3nR4DlisUR+DMGYgs+8HggxIJZXuAiBtZ/7aaq+29wUypkifuvlYgmOiceLn00SjkTy4wT8v10wZ37g0J9Twwh7PROK5rQwZ53fC8MIIUQY27bQ9RjXXHcrHR3thEIhho8cxy9uuqLTNf7TQnafffHepVAkzqrFLzJu1kkMGDqVTLoDoajYuQzHnHU1TfVb2VmznHC05ICUdUEkQlGpr9uEbXvYm8D/04xI/gU70Ot5pDsa22uWY5uZAG2GmcsybsrxLHvrCdp31WKE4x6VcaAgoOD9S7Bdi1nHfJl4tIRcrgPwCGTqalaQTbYSjh4gORHevuI4DqWlVZRX9cFxTP+5FdKZJI7roKr6Ac5XYd8IlH8uk2TwuHlMmf95crmk/6FAc1x6yxAtbTt4+v2nUAJ4f5Cw38eUSgq2QdBXSEjPPtgreDJ/rEQVKicdejqlsQocH5gsfAPDxSWkhajZsZGXF/0DQ9v7M3dKFQi/xl8GKZN9R5cs22JAr8EcM+2EfTb76er7y7/dAIDCJO1eUrG7IVB8bPD5vs4tbvm7+7md70Gn43a//r7P2/fYgp+Lr73Xa+w2B3t7Rtd10XSd1tZm7vvTbxg2fDSWaXHrhz+ioaGOSCSaByEW33Nv9ws+Lw6X7fFMUn7k/YobC+3rWsWyvzna95wVf17gQd99Tvf1XqiqRiqV5L57bmH4yPFIx+EPv7+JHXVbiERin2pzpG755CL8fK2iKNjZNAse/TVnXXIbqhZBOq5HrxsKc/S5V/Lo7d/FTLehGeEDYsmDojC27SAdj5QnsDl79h/CgdTad76gRA9FqN+6mi3rFzJk9BzMXArXcYlEKznx67/kiT9+m1T9dsLxUv8UT6kIRcFxLDKpdiYfdhaHzDgVM5NGQUMKB+mYrFv+ij8mucf+tK8nFELBdWwSpT3R9ainGBGoqkZT4zasXAYtFjrAKEdB+Qf9GcKJco4/7xp0I4xpZlCFF50pcSzKRIj17Y389fU/o+2HCvhgSAAEnTvpCCoTPbEdCyVABwiQrkTXDRZv/JD7Ftx5UD1wIQSpbIop3RrfAAAgAElEQVRpI2Zy3PST9vo5u+3FXVG6hAHQLfuW4kW/cvlClix8G4RHkrS7Mv5PvN+nIcEzKIrC2lVLWb7kfSB4hm7l37VF5KNURjhGXc0qFjx5Kyd8/hrMtNcYJ5fL0rv/aE7/2i944s7Lsc0UiqpzIOx2+MZha1sD6UwHkVgZtu0gXYdYRU+/EdCBKYnAAFUUFdsyWfT6wwwZPRfwUm2WlaFPz2GcceFvWfDwzWyvWQKu67fk9Zj5ooly5p12CdOO/gq5rOmB1FyXSCTOlnXvUrt2IUY4euDRKs/CwXUsKvuORAslsJItPlbCpqVh4wEbOQHSPVD+jpVDN2Kc+qWbKK3ohZlNew1xkKjSoZ/tEFIFQhWURkv32wvgnxWBIGfn6F81gMqy3liOWQQN9EYP4ArJtubNlETLKImW4HysaNG+RfG7PE4YOglN08lZuT2cEE3RaEu1srFuPbpm7NNB+ndKtwHwMWRvEYJPS5EU8x4EL04kGiMWT3iAm93K6g7m/QKJRKI+xkLmQ+7/CYqzOKoQjkSJRANch/sf8wz/lyV4F4NGNCvefIyevUdy6NHnk2prQdVC5FJJhgyfzmGnf5vn/3It0WjZXpHgexNF1Ui27qJxxyYGj56JbeewrBw9e4ygtKIfrU3b0LSQDy78CPHTX6FwjC3VH7BmxYuMO+RYMh1Jr7tltp3efYZx9iW/Z0v1e1Svep2WunWEw+X0Hz6TUZPnUtljILlcFtdPj2uqQS6TZcGzf0RKJ5+uO6DSxOAYIejVbyheOYMEIXEdh+Ydmw8ILBHkvoNct2vbIFRO+vL1DBk7m1Sy2ecpkbiKQ3/LocJRsFUPbe+N99PLdwvhYbsiRpRYPsqR/zQfKgxSC0EKdvdI8ScRiVcB4DgO8Vgs3w44P/dFnr9pmbRn2lCV3VsGdw35P2EAFAMNoWC5HxjIR+mU63ZdF9uyMEKhA77OgY4vuH4wRsv0kOqq3wpZui7pTBohBLqm4zg2uhHq9Fwf5567P5uUEsvMoRuhovkqLOL/NMVZMAT+c5/h/6J4YC6Z53UIR+K8/ewd9Ow3kMHDZ5LJpFE0lY6OFibMOpH21jreffqPXp78I8qxAo/dsbI0bFvD0LFzPIXlOEQSZfQaMJqmnZvQ9bBXgndAXrcEoaAKeP2xX9Gj5zB69B5JNt2GoqqYZgohFIaPn8ew8YdjW2lURUfVI9hmllwmDUIBXFBUlFCIlx+6gZ2bVhD52BgH733XjQhVvYfi2hYCj00zlWymqaHWJyfav3IWFIBu0nWwpcMJ51/LsAmHk+xoRlU9Bj1TSGKZdgbYMYRU8qV2HpHBAQ/5k4nir23fOPJSK0CR6aYE+fxgPPvBIhyoFLMJhsWeyP5C2SAoivAaWXU93Q90MSKgT0OKFbfrOj7LXGeDYG/nBMekUsl8yZjrI/L79h/U6ZiDMT7btkgmO4oMAYeqnr1JlJTmx+44DsOGj2HQ4OFEojF69u63V8/9wO7pVQAEXfG8vLlKn34D8yj8bmXZLf8uCTZZKSVCVXHsLM/c/xN27dqMEY7gOg5CBTuT4/Djv8WM475MJtVKUBK2PzyK91WhfmeNT/ziKS5FKAwYMS2/nR/Ini28iyGlR+ebamnh6XuupmXnKqKJElxXehXmUmJmkpiZFDhgWyaZVBuO7YX9XddF1QxCkSivPvlrlr72MOFIoqjK4aNHE1SpW2aOHr0HU9F7GJZtIgFNi7Crtpr2ljpUHwy3v/WdV/7SxbRzHH7md5g4/VSyHe0+8Y/ElVBhwTgnglfr5BTPyr9EpCymEfK+ejZIoXY/wBEdzKG50iVkhBnRf4zHrlp04cB4MjSdrQ01NLXv8qufup585g2AQPmrqsZNv7yXr198FRnfiy4+BgpAtIDS17YtTjj5bEaOGo9tW1iWybBho7n6R7/JHxeUFhZAbHKvnxUr1CA/HShuyzLpP2AIp51xAQCqppHs6ODb3/8Rx590Fh0dbWiazmWX38h1/3MHJ55yHtNnHsY11/0G08x1eg7vup3HVHw/72cFM5fhiPknMWXaHCzLxHVdSssq+Omv/kRZeRW2be31XPbzLF0xx9Ut/7kSAFal63m06eZGnn/oZrJWxqvVdwGhkM2kmHfqpUw78vOkO5rz6Pq9gXG9n100PczOTUvoaN2JqoZRAMu06DfqEKIl5Tj7aWazxzgJ9hkHIxylpb6GB+74LquWPI8RiWNEwnlmP5Bepbn/vUQiNJ1wvJyOjiaeuPsKlrx8P5F82+DOwN19z5XXGdHbt3IMHXcY4VgZ0rF9V1Rnc/VSHDPnK/Y916osvpav/HNmhqM/fwUzDj+PTLIdVfGoclxcYq7FyByUOBpCgiJkXvF+6pJPl+g+4E7mf+397X0jUlLUKfDgiZfjV9FVr7ywM8OgP0ShkLMzWD44sSvKZz4F4NWnp5g+83CGDhtBWVk5PXv2pbW1EV03sCwrX/8fbBqpVAfRaJyO9jaOOuZUXnz+Md587QVKyso7Ke10KumTzyTyXrOiKGQzabLZDAiIROMYPj9AOp1CVVVs28bMZTFCYeLxEnLZDGXllZx86rk89Lc70XWdSDTK/ffeTiadQrouvXr3Y9SYCXzpvCNpb22m34Ah7GqoR/ctSyklyWQHjv+yR6IxDCPkUStn0vnQZyyewDAMdjW0MGv2kdRt38JzTz1Arz79SXa08+uf/ZD29hZUVUPgR0DMHEJRvE5iqoqAPPeBZZqYZo5QOEIk8jHASt3SLR8hAZA6UK6haIK6tR/y1N1X87mv/RxV1zzeCQFm1uSIMy4nFCvh/RfvQ1V0FFXdAxgYKD5NN2htqGXzmneYPOsscqkMjm1SUTWIwaNmsvqDfxCJHVj4vRAuF36VQpRsRzvP/umHrJ3wAlMOO4N+g6cSjkWRwlOf+CkOx3Vob25g1Yf3s/Tdx0g21RGOeCXGIjjqAJZTMEbXdQiFEwweOwfHMgGvN4eZbqV2/fv77SdQHPZ3XRsrl+GYs69kyqzzSKfaUVQFXHCEQsx1GGY6xGRAnCPyRo1HN/jp7gECrx/JsH4jCekRklmPowVZCMErikIql6JmRw2aqh9UB8VyLPpU9qV3ZS9M28wbG4XH9v6+zc3NeRKiLggB6LoGwO4guGIvPfjdRykbT+l54bYjjz6Fpx7/O4MGD2fm7CN48tG/oCgqFZU9GDFyPAs/eAPwFtIR809m5fIPGTBwKKXlVYyfOJ0Lv1nCqhWLsCyTXC5Lz559OPbEs0inkrz4/KOk0yl0wyCd7GDEqAnMOfwYbNtmwctPsaOuFlVVmTp9Lk2NDfTs1Zcp0+ew6IO3WPTBm8QTpUydfhiqZvD5Cy7GtixeffkpL1fpOPTu05+TT/sCjuty4innoRsGlmmypWad37DIxbFtjjz6ZEaNnkhbazNvv/kSO3fU0rffIKbNOIwePXuzfdsWXnvlWVKpJGPGTqZP30HoRpivXXwlO+q2snL5QjTd8EqUgEw2zbQZhzFl2hwa6ut45aUnyWWzCGDmoUeyo24rAwcNZ8Kk6bz3zqssX/I+oUjkgEuyuqVbPkqKlavreo1otqx5i6fuvYZTv3ojiipwba8FtZszOeLUbxMu78XrD96MlCqqHso3hNp9vxBCZeuGRUyYeTIIBQUXxZGMm3Yi1UtePrCqgvy1isthXVRNR9V0Nix7nZrV79Cj30h69BmEphqU9R5MKtWAk83R3tJEXc1qkq070Y2wh2NwnUKe+QDuHYS8hVDJZtoYO/0U+gyZiJlOgQAtFGPTqtdoqKvGMDzirc5GUaHUT1FULDMDIsT8M69i6pHnkO3oQFcULCkRqoEgw8Bkkio3iqm4ee9WkRTy7Z+iFDxuCUpRh9VAAReXCivKQR1P4OS5rksikvA6U9q74yl8GiJFYWtzrVd54BPDdbV9sUumAIKFalkm6XSKbDZDJpMm43vW6XTKaxdbZAjsTYQQ2JZFZVUvxo47hNdeeZplS95j1pyjPIIdM8eAgUP4ytcvK1xHCC686Af06tOfcDhKLBqnrLySAQOHEk+UYpomlZU9uejS/yYaizP/mFP4/pU3gZSkUx3MnXccP7rxNuKJUvr1H8SNP/8Tg4eMpL2tleNOOIMf3fA75s0/CUM3uOraXzBr7lGYuSyVlT0xQmH69htE774DyGYzfOGCbzB77nwc16WyqpfXFnjQUCoqenDYEcfx9W9djmVZ2LbFd6+4kS9f+D1s22bMuMnMmj2fjo42jj3hTCZOnkk2m+XY48/k+1f+FNu2iMYTxBIlxBMlDBw0jHiilFgswWWXX0dZWQXt7a187qz/4vKrbsZ1XQ4/8gR+8j9/IBQOk81mOOX08/jhT25l1pz5RKJRfviT3zJ56qFk06lO1Jjd0i3/rHigwEIkIBIvY8PyV3n+LzeiqIbXGdSvrU+1tzJt9hmc+c1bCUUTmNmkh1YPtBx+4F16rW03rXqb5vot6HrIA7Vl0gwZPZuh4+aSyyTz4fIDfZ+LS+eklIQicVTVoKF2LcvfeYbFbz7Kq4/8hvef+ysfvvIQ65cuIJdpIxwrQdH0grHyMfSE91g+DkELMXnu58CV+aoIXVPZuv59Lzqo7C1VF3AvqOSyScKJck7/xi+YftTnSXUkQfHBmHoIy8qgblxFP2I4/pzvqfOLs/IHXwKQqCIUeiZ6eGBN/Lx/0W1VodKSbqYj0+YB8Q7CmIQQ+ejD8D4jiOkhj1tAFKMAvLGZdo7axs35e3c15Q9dNAIQUNSedsYFzJ57NGlfqQB59rqFH7zJIw/cTWRflK7Ss8AymQ5mzJ5PNpuhZmM1UsLpZ32Zvv0HU7tlI47jkkwmO53a3tGBrod4Y8FznHv+RSx4+Wkee+geSsoqmDzlUOKJUh7621289cYLjBw1nt/c9iB9Bwxm29ZNnP/lS/jFTVfwwrOPIF2bq3/8W84670IWffAmjitp3NXAT6+/jLbWZr5/5U85/sSzeP7pB3nhuUfo3XcAv/rZVRghj+EwncoipWDzxrU8+uA9/NfXv88tP7+GdCrJsSeeyTlfuIh0qoMjjjqZKdNmc/GFp7GzrpZQKEQ8UUpVVS/uvevXtLY2YRghHigp49Y7HmbKtDm88uKTrF6xiLrtW/n9b35MRVVP+g8YQltbOzkzR2VVL8489yv86uarePmFxykrq+SP9z7HMcd9jvv+dAuuK6irq+Wn111GMtXOtdf/jqOPO53333mVqJ9O6ZZuOVgSvE1CeC1pY/Fyqhc9j4iGOfGc/0YIsJ0cQmjkUimGjJ7NuZf8nifvvZbGbdUevS9upwiiqupk2lupXvo6c04YjW2aCOGxv0+Zdz41q9/rlAI4EAB5oAYK77+nDHUjghGK+hFyT1EVGwr5qFkQSTjAeQnC7h4lcStjZ55E/6GHkMumvN71WohdDVtYt+w1jFA0f5+8s5yPigjSqVb6DJnASV+6gcqeQ8l0tKMoGq500A2dXLaDx/50ObN7jOT402bSmmpGlWrwh/Ge61+U65YSVFVjYM+hnmfdqexAIHHRNJ2m9gZaki3oH4P5cP/3LUQfhvQZSkBzmG8wFWDAhEI6l6K+tc7jQ+ii/lCXNACk9BicVq1YyK6GOmzb7pQC0DSNxl31PmnHPpD8eGFBx3WYc9gxLPrwbWzbpnbLRhrq65gxax7r1i73wXqdu3Wpfk/5SCTqdx2MUVHVE1XV0DWdHXVbWb9+Ff0HDCGZ7KC9vY1IJEqv3v0oK6vi+JPO5oSTz8EyTfoNGOx7GyF0XWfJ4ncAqOrRi+21NYwdNwUjFCISjaGqKuUVlWiaQWtrk5dzEwJNN4gnSlBVlbLySkKhMPFEqceWZltMmDSdZUveZ1dDHb1698NxvH4K2WyGESPHc8FXv0MsliCbSVNaXkkiUeZ3WwwTCoepqOyZ58bXNA3LNBk4eDjpVIpVKxfTf8AQWpobWfjhm4weOxnXddF1nXfffgVV1yiv6EHt1hqmTp/r510/1dejW/4PS1Cf7kqXcKyU6neeItPawEkX/IRopAwzl0FRVTLpNsp7DePcb9/Bq0/8ktXvP0fIiHX2sqVEM0Ks+uBZJs05C8OI4koLM5di8MgZTJpzOgtf/SvRREWBy5+Pr+ICjxXX9VrzuoUyMeET93wStVmsvG3bJFbWm1nHfx3HsbwKCkcSioZY+dJjtDbUEY2X5VuoBzX+iqLg2BaWmWXS3DM54rTvY4SiZNNJr/+C62CEI2RybTxx9+WsX/4a804+BFc6eWxC0JCpkPr/9DcAL2Xh4ljBOGTxhHo/SklIC3k1+AcJmySE/+7pEfpVDMZyOlMFCzwKYk3VqG/ZQWNbI5rfD6YrSpc1ADRNY9PGatZVr9zjD+d9rvv88HuvgfdSCBZVPXozasxExoxVmHzITFzp0q/fYNKpJA/c/wf/ekFXJxXpFjj9pZS4Uu6h0KT0Ggk5juMh4P3WtLpuYDs2yxa/h21bCEVh+dIPqK/fjqEbnfoMuK7rhS79nJWULtKV+1g7hTEVCC3c/Gunabpfqlgo3/MiJXEuu+JG3n7zJd587TlyuRxXXfvrfA+FQtpjj7uhqVq+xSd40RTbslBUNb/ghPCafLiu4zf/6ZZu+XTFWy7FHAEJNq94i8f/fCWnfvEGSkv6kMt2oKoqZi6NEYpzwvk30nvIJN55+g7MdJJQJO7zbbjoepiW+hpWL/oHM+Z/nmwy6+fBU8w47r/YuOZdko11Ht3wgfQI3s+484q++Br58PnHvW4hkqEoKmYuw7wzL6dHr2FkU60epsHQaWzYzpr3X8QIR/KYhmDNB7z+RqyE4878HpNnn0PGzGCZaVRF4Do2kUic5qatPPu3G6nfuIxovLyAUfBj/0G6QuQj/5/+TmA7NmXxcvr1GkjOKaRNvHF5+6iqKGzftQ3TMokY0YOmhG3HprKkkv49BmA7lld1FezjANJjm9zRuI1MNk04HOmyKdEuaQAEL2koFM5P3scBAQY17clkO7PmzMe2LG75xTXooRC2ZVJR0ZMLv3kFffsPor2thWjU2xCaGusZNnws5RVVWJZXBqf41KPNTbsoKSkD0bnPAHhtNzVNo6G+DoBNG6t547XnSCRKsSyL8vJK35ruzN7nset5FnlQ6tPW1oLuRzZc10W6Xv9rKSWO43Q613EdFEWlZlM1p535JYQQtLY2eZ+7krETDkHXdf73nt/S1tpMn74DqOrRG8syEcIjqbAti5amXQgEFZUeu5am6ezYUZtvybxu7XJcKRk5egLVa5YD4LhBh4+CNyHz89I1X/Zu+WxIMeDOYwssp379Mh645SJO/crP6T9krIdaV1SkayNzDrMOP59+/Ufy8sO/ZUfNEsLREg9AK130UISFL93DiLGzSVT0xrFMbNumJNGLw065lGf/fBXk87wSKQ8Mmf9pSRAFkVKiqBrpjhZGTJ7P5ENPJ5tuRygq0nEwQhFef+9RWnZtJVpSjuvvH4qi4Dg2mXQLQyfO5ajTr6Cqz0gymXYvjy5ASptwrITtNUt5+s/X0N5STzRWQi7ZAvgKz8ceBJHvAvHfpzc5hWoLia55nV+l3+vAPyDvhauKyq7WBizHIioOnE1x3zcHoXjYtAG9B1MWL8fM5cAvuxZ46R0pQRUKq7evxHRNIkS7JAAQuqgBAHRS+MVfi7/f14QWaoAFJ55yNsuWvMu7b79KWXkFruuSy2U55/yvccLJZ/O/9/wOKV2+8/3reO+d1zjiqJMoKSlBU1Vsx2bb1k2cesYXiURjrFm1xOtLnkh0ul8sFiUcjtC4q57nnv471//sDu7/8220tDQyecqh7Kjbyr13/4Z4LEbIZ+6TEj+9EEXTdOq2b6Giqgdf/9ZV7NyxjReff5RwOEzIxwNomk48XmhVrGs6kUiEaDTOGwue44STz+HGn9/Ns0/+ncFDRtLU1MCbrz0PCL77g+t5790FHHPs56isrMxzBdRsrOaoY0+no6ONrVs2sGP7VhKJBOFwhI3r1/Dh+2/w3z++hXvu/CVTp82l/4BB/O7XPyYcjhKNRDCMQgrGMAyi0Wh+3ruNgG75tKW4OsAIx0m11vPwH7/NkWddxsQZp5FLtuPi5WNTyRb6DZjIed/6Pe++ci+LX/sbTi6DEY6h6SE6Wht487m7OOXLN2BbWVTFaxs89pCjaW/+Dgse/RWxWJm/kf87n7kzYt/MJCnvPZAjzrzMo+sFjzchHGV7zRJWvvUI4WjQ5VRBCMimOwjHy5n/uQuZPO8MDC1BJtVaaO2tKBiRGMs/eIaXH7gZ6VpFUZN9iKAIUv7pTVC+DNu16F85kHioxIu2BtwnAo+NEIHtODS01aMIdf8XPeCbe/9zcZk6bAaaCJGVOToXIXjpBxeXHc11KIFx0AWVP4BaUdn3un/3ID4NcV2XSCTGoMEjeOWlp8ikk0QiUQzDC8VnMxkikRjLl77P+nWrmDZjHqPHTOC5px9k+/atbNqwlkw6xYZ1qyktq2DipOns3FFL3fYt6EaIFcs+9F9GSCTKWL1qCWYuy8rlC2lrbWHO4ccyctQELNvk3bdeobWlkfKKHmyrrWH7ti1oqkokEiObzbC+ehXJjja21W5m0uRZlFdUsXTJu0SjMbbXbmb79i3E4yW4jsvqlYtBSsLRKJZpUb12GbZt8d47rzJs2BhmHnokZeVVLF/6Pls2b2DThrXMmHUE48ZPZcErT7N2zXK2126mtbWZLZs3oGoah0w9lPb2VtZXryKRKGPlioU4js2ShW+TKCll3vyTUVSV2397A7VbN2EYIRIl5WyuWUfDzu0+F0KcVKqD6rUr0PWuyXrVLQcmXvVMjn5DJzFi0uFsWvkutRsWoxthupJht0fpnW7gmlnWL3sNy8oyeNRUhKbj2CaqomLbFpqqMWT8XAYOm0hrWz1NOzaB6xKOJti5bTWlPXrTZ/AEnFwORSjYjkm/oYfQvGsbO2uWY4RihfTbv3hT9+ECRWH/NLHynpxx0S1UVA7AMrMIRaCiIqXNM/dfR1t9LboR9lOiWcxsmqHjDuWE869j3LSTsC0bx7F85e+gGxGECq8//Ttef/y36KqO6jdaUoRCzsoxcchkpgyf7jXAUZQC374EQ9VpbG/g5SX/KJTnHdRJ8BD2WTPLpEGHcNjE+Zi297dCCL+tr2+PKApPvvcQO5t35PlSPvltC23PNVXnC0dcQHmiCkd6LIDFCl5TVZqTjfx9wX2fCgnRwRQxbOS0rrOiD5IUpwaSyQ5CoRC6HirK9StkMmmk6xKNe+A42zIB4eeyJSEjjKbr2JZFKp30DQrPW89m08Riify90ukk4XAk3/0qmWwHQFM1crks4UiUcDhKOt2BoqiEQmEALMvEsky/4Q5k0ilMM4eiqsTjJWSzGVTVO97jH8gRi8X9cy0sK+efK7D9kknD8MiNdF0nEouTTafyIMqglErXdQwjhOPYpFJJHMfJp1vS6SSRSAxF8QBAqWQ7mqZjOzaGEcqnZNLpFJqmYRghAEwzh23beTAhdF2rt1v2L0IoZFJtTD/qAk684BpeeuBXvPOPu4jESvkoDvl/hxR7xQErXDbTweBxczj2vGsorxpANtUGCBQpcYSNHorjuA4bly3g/ZfvpX5rNaqiEi2r5POX3k1ZeR8sO4f0c+Xg8uxffszahf8glqjA9YA7nxgY+MmftaD8Q5FSzvzW7+nVfwzZTAuaqnv7VDzOy4/czOIFDxGJlmLmUlhmll6DJzLrmC8zctwcUHUPMKmo+b9pJFpKY2MNLz/8CzaveItwJOGnA/zumkKhPd3G+Ud+lQuPv5j2dBuKovoIeIkjJTEjzJotq7jqz5ehqgfJ897t+VVFpS3dxqWnXMaZc75Ae7rdMzaKwI0IDxh5zX3fY0PdBsL6npz9H/e+iqKQyWUY3X80N33l1uCTotSQd1w0HGHR+g+59n+vIKSHDs6Df0rSZVMA/4wEm4AEEokSP+ReyMEEyhy8/H04HIFwpNNCDnLwqqZRVlaRPw8gHg+u6S2M4p8BEolC3+9oLO7xgbsO0Wi803G6buQBeQDRWJxYPJG/d6BMgxSArhu4rl9WpOv5aAZINF2ntKwcKSWRqCg8m/+cRWXQ+WsqikpJSVknTEXhWVwURaGktLywwRbNQSzW+VkMI0QoFO7uttct/3IRRRiaIAUVjpWyZfW7PHDL15l98sWMm3YC0gXbTCGEgZ0zUaRg/NSTGThyJquXvcjKNx6hbtMKnv7fa7jgB3cDCsLx1q6q6pz0xRuIVvZmyat/JWxEvVz7vyi3Gyg1r1Y/RaSknFO+/DP69R9LNt3mNfhxTWLxUlYseoElbz6OKlTSyWaqBoxh8pwzGDP5aKIllWTTHeCYKIqO65qooQiKqrLk/cd44+k7yLbuIhwrRUonX664x3gowvv5HyuSPGj405LA4FKFQmmizGtVJgLK5KAUEVRFoy3TQkNLw0FD4QsElmMyeeg0EuE4belWVFXxSzuFX3woUdBYuvFDbNsiYkQ8noAuKp9JAwDII2735o0W84TvzmEvO12iYDAUy+7X3NfPxefufs/iaxWft7dxdQZAQrDidgdB7o6X2OPZih5ub/fc37MEh+zrmfc2nm7pln+VFCpT/DoBVxKKJsh0NPP8fddSu3Exs4//JuWVPTBTGa8STwiyqXYMI8a0eecwbspRrF/2Jm+/cBfP/O0nHHvuNag+q5tXBqhx9BmXU1JaxjtP3YW0TYxQNG+EH8xoQCckjfQqbpCSVLKZvsMmc8p/3URpRX8ymSSaquC4NpF4GWuXvswzd10FCvQaeQiTpp3IqIlHEYtXkcumyKbaEIrqNTpEEomV0dSwibeevZvqRf9A13RCkXi+VHJfD+N3GC7k/SV+49B9n3OwxHUdwqEIAyoH5/P/0i8BFFLgSgdNVdjRsp20mfbLuv8JCbAmUmKoOvLoAr0AACAASURBVBOGTcV0HYQi8zTIQQWAIhQyVoZVW1Z69PAcnKZxn5Z8dg2AbumWbvk/JoFx6mFzpOtR8kY0g1VvPU7t6g+YfeKFjJt+MrpiYGWTKELguhbZZBZdiTN59tmMnHgYK5a+xsZVCxk9bla+v4aUDma6nUOPuZCevUax4LFf0bSjhlA0QdA855/d6HePQgohEH7IH0VhytFfYM6xXyMaqfDIflQVx29utKX6XV544CaGTJzLhNmnM2jULCKhOHYuTSrV6lU9CAXVlUQicWzXYfE7j/Pes7fT0VLv0RBDJyrvwDXY/alkUP4XDLgYBFhcClh8gYNkHTmOQ0VpBWUl5Xma3eLrSkBVFZo6GsiaGRKREu+4T/q3ER77X87KMqT3MEb0G0nWyiJQyFdB+KmSkBZiy64atu6qwfD7LnRV5Q+fcQOg2Est5gLf3dPuqpLfAPZT9hjkpnb/vPhZd/+d/0NhbX6EF7/3ccDeVvPHGsN+xt8t3fJJpXNKAMAlEislk2riH/dfz+rF/2D60V9k+PA5SFdiWhlUoSNxyaSb0fUoM+ecQzbd4YG4FCVf56ZIlUxHkqHj5tKz/1jefeVuVr7zBHY27TH9BenHoqja7mtgdyleJ4DHciCEl8e2clhWlp6DxnL4qRczbMzhWNkMppX2QXYOQtNJJpvZumUNp371ZwwYNg1FqJjZFNl0h3ecInCR6OEoAouNa95i4WsPsHXte2iaQTRegZSO59n7nB7CTzsUr82A9MYV3j/VGzBC+Jx4fmhA+P8hip5f2XMvCDgJ8mRCeRwHnX4ucB4oWK5Fr7LelEbKsf3KB++CwgtLSACNrfVb/+l9PjhfUTzg4YyxsymLl9CWbEcTXoMh6UebXemi6wbLa5bQlmqjJFr6zxke/wL5zBoAxYvKzGU7hceFUDBCoY9cmAd4J4psdg6KiUtxiZNLJpPygXnKHgtIURTSqSSaD+wzc1mEoqBpev5Yx3FwbAsjFMa2bRzH9oCIu82RbhidyISK72GaOcxcFk3TMUJhYM/FDN5C87oHqmiaVjQGG8dxMIwQ0nWxLBPdMBBCIZXqwAiFvVxdtxHQLQdB8q+Qr1xc10FRdcJRg23Vi9i2fgljp53CzPnnU9VvOJZl45hpPyLg5uvpBT6/hRCely8kivRKBI1ojKPOupxx047hwxf/xqbVb2Nlkuh6CEXT82vpQPPP3vrG78SXRQIVvQYy+YhzGTPlRKKRBLlURx6QJ/3QM45NKBxl9pFfAjTMbBKJh9pXhafMjXAMVShs3biQha8/SPWSV7GtLEY4juXa5LI5bNtB7EbnK6WHaleE4qPvMziO7Tf+Ie/9+xF4T5G7kqyZQVU1HNctUoLeCYEDoapavkwuAPdpqpbHESmKUuAYER76X+DtJYN7DCGshWi3TP/3vvEhhb/fWGxr3JInKPuk+0pQ7WE7FlVlPTh8wlHkcqY/r76xI/1oCAqObbN4wwfe374LVczsSz6zBkCxxdhvwFCMUCj/e9u22FlX+08rm2IF6zoOelFd/D+rxALlHwqFmXnokSxf9gGZdDJPWxw8WzabYcr0uTQ3NrB160b69B2IZeZoa23Okw/FYnESJeXs3LGVsvJKIpEoddu3ouu6Dwh0GDx0FM1Nu8hkCn0X8sjXTJpevfsxbMRYGnZup3brxryHVTxe8DAPvfoMIJfN0NHRmq8mCJoNNdRvR9dD9OozgMbGnVhmjtlzj2Fd9Ura21rQtM/sK9kt/wYJAtl5bICUGKEYSMnKdx9jw4pXGTX1eKYddi49+gzHdkwsM+1HsV1PqynQuTuPg6oqSMfETFr06TeJU/5rAju3rWH1wueoWf0OHW27yKW89apquqcnNT0flQhKyjxyHo/Uy7ZMhKoSiZfTZ/Bkxs08nmHjZhONV2Jms2QzSVShFrABRah3oWiYZtZ7ZiFQpEdnbio2uquycdX7VC99lg1LXiGTTVJV2Y/KRA9c26MNLwmXMrDvwEJk0I9kuGgM7z+cskg5ruvgOjb9qgaRzWVQUSim3hWKwLQt+lYN4Mdf/BmqotLS0cyG+moUxcsZeE1xvL1ly/YtpEwvDaMoKm3pVpqTTX63PYdUOpnfY71Wv151lislA3oOwuvaUJSq8KMGXpVAMzUNG9FV459KzQSAw2QuyeHjjmRIrxGkfJIpL1IROEAuhh5ia0MNK2uWETEi/xHOzGd6t3Vdh2gszo//53Y0TSeTThEKhWmo386NP/4Otm3mF2SQrCosUPL5MChqOUkBUS+EIJNOMWX6XGbMOoI//fHnPlLfRUqPaa/zePZ9reK0hPe5QEqbWCzO1755OddedREd7a0YhkawoVmmSY+evfnqN77HzTdcQSad4huXXM2WmvX88babqKiooq21hdlzj+bzF3yLi75yIrFYght/fjc3/uhS1levwrJMjj3xTM49/yJ+cOnn8/NQrPynTpvLd6+4kbptm6nq0YeH/n4nzz/zIIlEaSeApBCCXDbDd39wA4s+fJP77/s9FRU9aGlu45jjzuD4k8/m4q+eyvCRg7n+Z3fy35d/hXVrVzBpygzGT5zKbb+9gfLyShyna4fNuuU/TXYHAPtlb7FSHNtk2Wt/Z8OSlxlzyFGMnnYiPQeNwtDCmLms12DIv4KUCnmmPD8FpioKppkGFHr3n0C/wRNJJhto2VXL9nVL2LZxEbvqt+HgkG1vwrFMlMA5UVXCsTKkUIgnyhg4dCL9R0ynqv8YSsp7oWghHDNFJt2GQMuX3AkfdU4QXVAEwm+IE+TmXSSKhErbIZ7pQDTWM23C0ZQceo5frldKRbwU4XhGhKZoXlQ0iJT61xeA5TdIElKiCIllu9j+cxRm2Av3u65LNBxj9rh5efCih1/0Q/351oGSXM7EcSUCB1VAa6aD5nQjqqqRy5ls3LYBVEFzRz3rt61B1Qy27txMLBRj9KDx2I7fB0AUIAYBjXlzexNtybZ8/f/HScnkxTfUXOmiaxrzDzke6bgUgx2kf3Ppuui6ymtrF5DMdJAIwv/eDT/JS/svkc+0ARCIqqj87tc/YvXKxUQiURw/rG5ZFlJ69LzhcBRVVelob91n3bsQYFt2vklGoqQM08wRicQYOXoCzc2NRKMxolGvG15HexuKUrD4o34NfzqdAsCxbRRVwXVcorG4z9AnyGRSOI6DbdmEwzFSqbSvaAtejKqqpNNJzjvhYqrXrmTjxrWdeiPsLlK6hMNRqtcu5+UXHuWiS6/k2xedS3l5JV/66qXc88df09y8i9LS8k4K2HVdzvviN3nxuUf4420/ZdDg4R6vQSiyf2awAxApJaFwmGeeeICrf/RrevXuRyrZnudT6JZuObhSyAsIgd/pTyUSL8My03z42gMse+9p+g6bzIiJRzJ84hzKyvrjuha2mcVxXKSQHvOrxPdoC9Evy0pim5KQXkK/gZMZOGQqlv1Fkh2tuAKadqzDTHegSoErbfRwjIqeQ0A1CIfjxOKlXkTfsrAtE9s0URSBIvR8ODlQ7kG9gfC9ageBq0iEtIlYCgnHpA86ZZaCJqKMn3YsSM+zFlJ4EQfX8nL8SEw3RzaV8fLZ+ZB24OAX8twFpa7gSg917znCQfjd2zNSmaRfFSEJejfkUwD4xoTPSCoBS0oS0VLKE5X58Mb4gZM8o0K6OD7nfnN7M7aToyxeiWlZvjFVMCqklOiqQfWONTS01lMSK0ERCpqqe6kCX6F7sn+EYtByOJ1NMXnoVCYOmUoml8bvFVc4Tkqv7DDVxrsrXkfXvEhwV1f+0IUNgN3BH3sDlh1oiEUiaW1pYlfDTmKxOKaZY8ahRzBs+Biamhr43Flf4dEH7+b1Bc/z1YuuYOz4KbS1NfPQ3+6iZuNaFEXhzHO+wo66WkaMGs+kQ2bxwbsLePiBu+nZqx/HnXgW5eVVXH/TnXR0tPKXP99KKtXOaWdewKFzjsaVLi88+wjvvPkSAKd+7ou0tjTRb8AQZsycx+JFb/PQ3+70lX+a8ROnc84XvoGVy7Hg1Wf8Rj/BrlNYZJFojCnT5vDQ3+7M59a9cMaeRoCUXi+BkpIy/v6XP3L4kcdzzHGnM2TYSLZv28LLLz5FSUnZHnX8Qgiy2QwdHW0ofn+FlpZG7377ASbmFwD4EcI9yw2l9FIc22prSHa0M3XaXF547hESpWW43VGAbvmUJHitCkaug1DUfLe82rXvs2X1Oyx8dQBDxh7KoLGH0n/IZGLRSqS0se0MjuMg3QJBjlcRpyAVcKWNY1r5e8RiZQigfPThPsDO9RS3lDiO6YXaXZdsJpk/RyA85wEKSjbQUb5TESDPVRdUISlxoMKCMgdiroqCjSsEDpDJpAsP74cdg66KAZ5X0VTPqBESxYf4SyERUili2JN5PSny/ytEAAJnJ8AreTn+IpBAcGZeYfu9TnycRs6xfSNEkrUyRXrAA2KWREu8NK5jk4ff+9cKUiKmbTK412DOmncedbt2sKt9J83tu0hmU7jSo1HXVA1N1QOXigCbEMx/JzCilJw043Q0zSBrZfIAxwCyiXSIhEpYtOoDNu/cRDQUo6hAsEtLlzQAgsm3/KYce1Mwqqp14qL/KGUxZvwUQuEI8UQpG9d79L5fu/hyXnnhaV587hG2bN7At793HeMnTuOeO3/JlOlz+cn/3Mb/+95/saVmPZOnzOKMc77K4w/fyzNP/JWLLr2alpYmnnvqAbZt3URVj1588N6ruK5LsqONz19wMfPmn8Rf77uNWCzBNy65Gtu2eOkfjzN+whQOmTqbRx++l8cfuZeLLrmaTDrJ/ff+nlFjJnL1j37N808/xKZN1Zx+5peoqKjCtjpTSlqmSe++A0gkStm8aR2GESKbSXdelYEI8rue1ySpgz/87ma+84PryWUz3PCjSzEMo9PcByHKXDbDkkVv881Lr2TJonfYUrOeeKKUXC6LbVt7NGuCQnokr+59cNDuoVjPmFGwLJPNmzcwbsJUnn/mwS6/aLrlsycCzxAADzAHkGrdxeIFD7Ls7cep6DOUQcOnMmD0DPoNGkc0UoamhTHtHKaZ9ZR1EOJGgCJRpAtS4LoeUt3OtpMvUSx2cPAUXn5N5NPqngKWQa5ZAQfpec9SEHEkCdemHEjYgogLqmv7Sk3gBF47IBXVv4f/tD5iXvFg+p6X7kc0FDcg1BH5773oAkjFd0Io0r3F8+jvA94eEDgt7m77ku+kSIEUijcuH02Pgmd8+JEIL9ruI/t9vJWkuCKhGInoGRymnWNE77GMO30yOcuhPdNCU8tOtjZsYUNDNdVb17KrpYHmZCO2a6OpumcUKJo3F36EQCDIWlmG9xvFlJEzyWRT+bRHEMtwEbgoOFgsWP6Cn+oQnUopu7J0SQNAURTS6RSnnXEBs+ceTTpdAKYFDHkLP3iTRx64m0gR9ey+RLounzvryyST7ZSWVfLoA3ezc0ctzU3N3Pbb62mor2Po8DHMPuwYrvzel1i3djkLXnmGwUMe5bgTzuCWX/4QhMI7b77En+/6FY5j06fvQGbNPpK//+V2Vq1cxNDho3numYcwjBBVPXpz9HGf46fXf49VKxeTy2ZIlJZy0mnn8fwzDyERfPjBW9x9x83Ytk15RRWHzjmKu//wc4478SzWrFrK7b+7EUUIUh3tXPOTWzuxSQVAxh49++C4Du3tLXnSib1PQNG3UhKJRFmx7APCEZ3qNUuoXruCisoeOAFlcAAwTKcYO2Eqcw4/jueffYzrbrqd/3fZl9ixfSsTJs1g7rzjuO9Pt+xB+bm3Uch9fuI9T8PO7UyZPgdV664E6JZ/rRSUVkFBSSlRNZ2oTyHeuqOGxq1rWfLGw5RU9KJH76HEyvoy4ZAjGDpoMik7h6UoOELN59FdhOfNCgWBV0mgSJ+zvtg/9ABD3jlB9Q9emFyi4AgXAwvdksSloEyqxBxJyLGJCtCk43nQUsEVAiGkH2VQi3ABnjJW/K6G+da5xR48BT0tCh+QL/7bzbkQ7G+NiqKveztOFAIBwlf4dB5TpxCiKP626Hpi91F4KYqcaWKaHsarJJygon85YwZN5DhxCulsirb2VtbXr2FFzXLWbVvNtsattKXbvLSkHkbXdBRFwXZszjrsPOLhEpKZJIriFywGtgcuISPM2rpVfFj9HpFQ9J8CHf6rpUsaAFJKdN1g1YqF7Gqo6xQFkFKiaRqNu+rRdOMjlT94XN6//NmVrFz2IbF4gra2Fk485Vy21daQy2UpK6tk0ODhtLe10LhrJz169qG1pZnqNSvoO2AI4OEItmzZQDxeAkKQTLaj+vS8IR8/UFrqdRvs0aM30Wicb3zrKoSi4NgOJaXl1O+sJRQKoygKNZuqiUbjqKpGOpXMl+717jOA9dUriUZixOMl7NhRS0tzo1/WVzRHyDz1rm3bBSVcBGjsPKnBXCi0t7XyjUuuon7HTvoPGM6UqbNZtXIx0WgsnwIQQpDL5Tj73AvZsG4VP/nht7jhZ3fy01/ew5fPO5ox4yYyaPAQ0ukUJSVleas5MMql7Lx+96X8AzHNHIYelCF+5J+0W7rlXyJBVEDTQ+hGBCldkq2NdDTtJJXuIFO7gtO+fgftjo2lCLKYpIVDThFkFB0hDCzXwlFAVTzvUrgBet7jj1eEV7amSElM0XClRUhC3BHEJCiuJCQkuiuJSYEQDkK6nsIHbOFhAVBE3rkuhLbxcvN+5CBfEgd55zkIueeT/34aQPhfpe+BF4fGRQBCzCvgoE1ygRPfU+Y+ytn30POYieLIrSxSqKL43AA/VUgdiCJEwe5SiG5INNXDBkgJtmtjORaQISg3LC+rZG7VkRw+fj4ZM0NDcz01DRtZsXkpH254j+bWRhrbGpg+chZzxx1BOpssjLtozNJxiWgai9a9RyqbojRW1uVr/4ulyxoAmqaxaWM166pX7jUFoGl6J9DbJ5rwwFKXLrZlFUo78EBzmqbjOk6+SkAN6nql31qTAF0qcfz8ezCMnJnjztt/RjabRtcNbNsmnU7mS++COlFXOgilYNy4juN7wR69KHhh+wCRG4ji189rqofetS3Lq683c4TDUVzHRVU1XOlihMI4jo2ULplMmpGjx3PiKWdx6dfP5qjjTuVrF/+Ay771hU6et+t6/QV69u7D4oVvU15eyW2/vZ4f/uRWbrj5LlRV5ZknH/K4sIuUu+M4WJZJOOKBBFVVRboeANGyTBw3MOY6a/lYLE46ncZxClGIbumWf5cURwWCN9GV3hpXVR2hGVRE4lTXVrNkzZscPvZo0tkOhCJwhYYjJa5wUMiRljYZVUETQXQrWNuFmnjbNdFcSYmQuNJFQ6AKEK4XppcCJAouMg++Q4AiPMVb7Bd7+1KhQ50fT8jvVwE4zw1UqfSuGWAagPzylK7Mg+d2jzB+ZI7b15fubgrRlQWDImifG6h1UVRuKVzpGxTB88k8SHHvNy6O5HipliBVoVCo2wewbQvLMv05VOhT1Y9BvYcwb+JRNKYa2bx9E++sfoPDJ81HVXRMmUYJ0P+dnFGD+padvLLwRSKhqN8u+j9D+UNRB+euJIECCIXCxOMlRKNxYrEEsViCaDROPF6SV/55a3Q/4vhWfHBsQFbh+krbMAy2bNlANBZj7PgpbKutQdMNps2Yy9rVS1EUxUMAB8YGfg2v7y07tk04HKGjo41MOkVtbQ22bTJsxFiWLX6fVSsWU7OxOs9a5bpuvrwQfMXvX2vdupVMnT4X13XZuWMbkybPpLSsAsu2ioAznnKu37ENIQQVFT28KImisGb1UqbOmEs0GqN+53Ys02Tu4cdSs6mabDaDZVl845L/xysvPc2WzRt44tG/UFpawXEnnklba0sBvKMIbMtiy+aNzD/mVCSQ7Gjj+mu/zfiJ4+k3oB9vv/kS4XC0ExjQdV3WrV3OrNnzUTWdhp3bkVIy+7Cj2bBuFZaPZXCcgoGDlPTpN4jt22r8CgS6DYBu6TLSKZidN149R0BKePqDx8jJLI4icBDggoaCIQWK61IqVXo7ChWWQ5UjqbRd75/lUuU4VNgmvVyNHujojkvIV14OYAsFU4AtPPS/n5lHKoBw/bJApbPy97E1nmPi4PqOhUTmU6mKUIkYUSJ6lLAeIREpoTRWRiJSQkm0lES0NP+7SCiCqiromoaua50IyQo4nwJQUQiBrmuoqkLICOevG/wrjZZRGisjGooR1iOEjQhRI+bl4PEUspQSWzrY0jOIXNf2DRb2METyQ/D3jGA/DUoPg8MDwyD4XihK3jAwbZP2dDsd6SRxLc7k4dP4zueuYvSACR7ngT+fPi4wr0OioSgvLX2O7U3bMHz0/3/S3tUlIwBQsMCL/6iBHKjXL33wWSIR93PkEFjduqETjcVwfSuuqbGBxx78Mz+48qdMOmQmY8YdQrKjnZf+8TjRaJxIJNwJdGgYBpFIBMMIsa56BbFYgl/e+le21W7m7jtu5u47fs5lV/wPkybPpLFxJ+MmTOPD917jD7+/iXg8TigUoOhB13Wi0QjRWJwXnn2EeUeewM9/ez9bN29kxKjxmLlM0b29N1rXDerrt7OrYQcjR09k08a1xOMlvPj8oxw692h+f/cTLF38LsOGjaGqRy/uvP1n2LbN2eddSP8BQ7jxR9+jvKKSZHsbf777Fi757jUsXfweLc27vMiHK4lEozzwlzu44ea7uO2uJ1mzagkjRo1j6eIl9O03iMsuv4Hbb70BwwjllX8sluCpx//KtJnzuP3uJ1m5/ENGjZlENBbn0QfvIRrxAFaJRAJFeGVJkUiMgYOG8cD9d6AXMRh2S7d0RSmOUEVCUZZtXMr7695mzuijSGc7vHx+ECL2vfagXj8fQgbfQxYIoeFKj0pXBNU+UnpM85JONf+B8+EpQY8NUCgyj5PzxudFMFFU4pEEir9vmLaJaXvMeaaZYVPdGg/xr6is21pNe6bNa5wTgAClx9a3vbmWbY1b0DWddDbJSTPO5ITpp5LOpvzxegN1pSSkG2ypr+G2p3+NlC6VpT0Z0nuER3jkh+iFH+IfNWgMkbCXVnFcl97lAyiJlGA7DhHDy8O7fqxCkQq2bWHmuVuKmi8VzanrugUcgSyeDzrlJYWfWgiUuWcQ+I2fpE02ZyFlGqF4v3ckeaNKAA5ep9i65lqe/eApQno47/13GwBdRBRFIZfLcvutN7GjrhZDN7xOUpEIq1Ysprmp0W+p6xCLxXn80fvYsmUDU6bN4c3XX+CVF58gl8sQjcZ46O9/oqmxnlA4AsDihe+wuWYD8UQpDfU7uP7aS5gybQ7ZbIZwJMq7b7/Mzp3bmHPYsYTDEV547mEWffgWFZU9ePyR/yXZ0U44HEEIwaoVS2hq2kUkEiWVaufaqy7ihJPOBuA3P7+aQUNG0tHRjqZ6JEABSM+xHd564wVmzT6C559+0EftZ/nx1d9k3pEn0H/gUN5791XeePVZWlqaSCRKaGps4Kc/uZxMOkk4EiUaS/De26+iawaxWJzmpgbA20B03aCxsZ4rvvtFjjz6FHr26suLzz3KKy89Sa8+/Zk6bS7xRCnZTCpPe6ppGslkG9dc8VXmzT+RPn0H8sarz/Haq8/Q0dFOJBKluXkXt91yA8lkO6ZpMmHSNISQLFvy/gGBOrulW/7dUgDLCgQKD732V6YNn4UiCum6PC29nwqXBSqPwnUCgDtQSN4XstxSFCINQV26qqpoqo5lmwRldASRCV/ZqYpGW7qVe1/8Axkzia7p1DfXe+1xNQ3LyrGz5f+zd95xUpXX/3/fNnfqFpaFpSy9SUdF0GAhYO/G2GKJJRpb/FojGqOmaCyJJYnGEhNr7L2jIqgIgiK9wy4LC2yfXm77/XHLzCzY9SfifHypu7O3Ps+de85zzud8zmYvJ5/VMttt5e2+ayTRlu2NpqLsNmhPZCeFWbS15aQms0kWrV9oy/rWL2XGp9OLjusuZFSfWkTu7lpWTTgQQdM1elX1pqqsCxk9S6+ufekWqaG2a2/69xiMbmju6ToPJ7augBOdxY6W2CbeGaeCCbGFnYp2RrQsLEGy4wI2HcImVmJhgieBbJkmwVAZD799H40tjVREKjz9lB/S4kUYOGT3nfJtW1jOlkzGCQSCSJ7WvIimZdG0HMFg2HsgBUEglUo4WvYioVDEI9elUklkWcbnsyWFc7ksuq4TDIa839NpW0s8HCn3ZHoz6TRge9nBYAhZUUg5kr6q6gdA03LetQA2XyAZxwKCwZCdU/cHt+kFYJomsizz+z/dxf3/upm1q5fh9wcxDJ1kMu7U0osEQyFk2QdY3rkDgWDRFz4Rj6H6/SgOsbKwGkDXNVLJBKZpIkoSkUgZmqaTSScJhcuKQ4JWXh45lYzb5xBFQsEwkqwAtvRwKpUkHC4jmYhz8RU3UF+3mqcev5+Kii4lJcDvGYIgkk5GGT/lFA455WqmP/5XZr9+H4FQeZ7sWQKQN5DJTIKLj/wth4w/ilg2hiTKXhTAzWvbPzu5f0dDHtyQtivA4xp8E0kUkfAj+mRkQbSldo0syWSM1lgr1eU1+BRH6pY8mc8CZEmmI97COXeeRnuy3RbCEUWPxyQKIoqieEJCXp6/4P3iRRycfyRBIpaKcuqUszht/7OJpaI2b8rZ2jQtAqqf5RuWMO0/F3uCXoXUvaL3l1WQVhUENF3DMA1Ewa7zt1O3ApIokc4mufYXNzJ1t0NIpuP2atwZW3vMLERBsrlbkoxfsSWDDdNA0zV005Y8tgQTSRARLBG3YlMoIk0KRU6FVTBXFoLDubDwiQpbo41c9u/fkEglkKVv2HL4e8JOGwEofJgjkfKiPLW7uvX51CIjaFm2br4QjuRzOc4XKhQKF+V3fD7VY+Hnfw/grtBdHf9AIOgcO/+563S4xyq8FgBZlimvqPKuaXuiO+6LJ5fL8rebpmEahlMpYCKKImVlFc694r1QAEKhCIB33+41RMrKtzmHSYk/6QAAIABJREFUG9aXJJmy8kpve9M0URQFn69yu/vYOg1S0T4ueRLsqgx3ToKhMM89/V+amzZ70sIl41/CDwJu6Nmy1ef+N/Mhxg/fh5AawjQ17NiAq3+fL7RzhXZccSyHm4+AiCIpyLKCJAkks0kSyQRbtzSyZutyNjZtpLGtgcbWBja1bGLa8dez3+ipJDIJJFH00gCCYIf7u1f2Yp9Rk3n941e8lriFJEBXZ6CwE599WwXpVop//rI57sLtPBVD3FRFPl/hie1gC/T4sBcgquL3+FpZPUv/mv7sMXRPMrm0E4rPG39MkCWFWLqDGx+/Br8vQN/qgfTp3pd+3QfSo7I35cEyJElGx8TQcmi65jR5wp5DQQDLnq3CsIBogWU6hEvLdmMs08Kn+nj07Qdo6Wj6QXT9+yzstA4AbMsj6Fzvu62AjbDtAy7k2bOF+25v/8LVUeEqvfM1fdVjbW979ziyrNDashVBEIu673W+jy8zFp3P0fnvnbf5Kvt03q6w3HDTxjp7NSKI24xDCSXssBDcNrAWqqLS2LaJZ2c/xtkHXUQi2Y4gSXkfwduloLzOMpFlHz7ZZxs6LU1LfCsbttaxvGExyxqWsaV1C4lklEQu4TnjqqximAYfr57LPmOnAK7htxnzbmjcRGD8sL157eOXMSzDYcHnDfLn1/F/V2PW6f/OzwXFhCA4lQKYSIJEOpti3KDxVEaqiCajNp/LsrxSRR2DgE9l6fKFLFj7CaqiMnfFh4iiSMgfpmu4K7U1fRnQfTB9uw+kT4++1JT3JKSE7RLBXM6OOopAURTErjpwIwCmKGAZBkF/iDmr3mfm0ncJByI/OOZ/IXZqB2Bnh2voFaVYxe+HgEInwU2r/JCuv4QSIP/MmpbdBOfl2c+yz4j9GNRjGNlc2s5xO6p7dgjcrpXHEhAFidZoE6s3rWRx/aes3byaLW2baIu3oRu2Qp0sy0iiRNgfKVo8qD4/i9YvoCPaSsgfQXcqnXDTDIJIWsswpM8Qelb1ormj2WuM80OA4BAGLcvCp/gYO2R3tMIS4QLOg2CBZWWZu+J9FMlHyB92SjbtEsTGjkbqm+uYtWgGkigRCZfRr7o/Ywbsypj+u9O/R39C/gjZXAZXqRF7ijwHDuxxFUSBjJHhobcewDRMBEXwFnk/xHfXTu0AFK5QO69K3Qfs6x63kLzyXUz8F53DffHYrTPNovvr/LP3mZDPxllWXhjk8yIRhZ9tO4bb367wd9zju1Tc7ZzTxdcdx29zPgrvtZSOKOGLUPidkEWZeCbOk28/wjUn34htwJwNPaaf/YFhmYT8AZ584xGefOdRIsFyAHyyj6AayqfbnNWla9Dc8/lkH1vaN7N0w2ImjZiMlokjiFIBM07A0LN0K69mz2F78eSsJ1AVFcMyio6zI8L7DiKQyaXpXzOQ0X3GOeH/fH8YnLeZIvpojbWzZMMifIrP5g644y4K+AQfqqx6+2k5jSV1i1m4bgFB3/8oC5ez17B9OWPq2ViSWyxgUVi4AXY5eUWwkhc/eJZVG5cTDpRto3HwQ8MOqQPwbaDQGOWyGTLpFOlUkmw242zx9co1XBJhOp0ik0l7YetvE+45Mpk06XRqm3PkiXY22a/QyAuCYLcx1bWizy3LJJtJk06nyaRStuyv033QMk1y2UyRw9D5XKZpkkzESSbiHkmvKM9XsG8umykK8ZuGQTad9jx399pzuayTA9xeXtH6jJ+3P1bfxnzkCaKap874bc9tCTsn3O9IyB/mg+UzefGjJwkFwrZAWJ7t5xlnQYBsNsvJ+53J+GF7Ioki4YDdEdS0TDtfTzG3psixx+7oN3v5e45zbXaOqiMioGsG+446gEgg4rSn3fFZ6m7KVRAENENj0sifEvSF8qH2gmW5aZr41ABL65bQ1L61OMrhphactIdpmpiWiSiIBNQgZcFyEARiqSjjBo1DUnye5Lpbh+FNmamjqkGWNS7hwRn/wu+oQv7QsdM6AIUs9l61Axg4eDiDh46kT9+BGLru6ER/9Re8IAhouSyjx+7BsOFj7YqBb/kL5Z5jl+FjGTVmj23OIQgCuq4TiVSw16T9i7xQ0zTo2bsfZeVdigy1LCv06TuIQYOHM3joCMrKK0g6zH5Z8dG7z8CCKoniCIKuawiiyPiJ+7L7hH22qSBwr8kd7959BnrERdM0Uf0B+vQb6JUKmqZBKFxGr979ipwCF653r+s6uqbxec7atzkfgiCgaVl69e7LruMnkc2kvQqHEkr4PNjPMWBZ+FSV/06/n/qt6wmqASzDCf8LeQU/CRHDMKiKdOO8Qy/DJ6lktYwXyfq8Z9iNCPh9AZbWLaQ51oQk+wuuAadtsUQml2VYn1FM3OUnJDMJT2Rnh4bzPshqWXp26cWU3Q4ko6WdRjymvRywHD6FABYas5e8ayskuu+K7Q2f4LynHNKlZVkk0nHOO/xS9h4zlZTuqP0JgKcRYOszWKKMZcE9L99Be7IDRXL0Sv6/Dcp3g53WAQCcmv8g1/35Lq667k4uuvRPXPfnf3Hj3x6kW/eeaJrtBOS9623D3EDR3yRJJpVKctChxzJ5yqGk0kmnr7W9jWu8Po9k1/nfzueSJIlMJsV+Uw/jwEOOKWqG5BrZZDLO0T8/lTHj9iCZSCBKEpqmUV5RxT/ufY6zz7vSMWASmpajqmt3brrtQS6/+lYuvuIG7rz7GU485VySiTjduvfkTzffR0VlFbpuG1z3WkzTdMbwbs4853JOPeP/uODi6zyN9M4vKsPQufL3f2P8xH3JOKvyCXtN5r4Hn6e270B0TSOZTHDMsb/kzHMuJ5VKeKWW7njYzaASHHDwMRxz/Blk0imP4PhF85HJpJAk6XPm8XPmRBQRsLtQnnH2xVR36+E1FCmhhM9D4TOlSD6S6ST3v/EPNNMAQcAk36rbAkeARySejjGw9xCuOvGPiIKIrutFRnq7xtp5phXZx+bWRuYtm43fF3AMIE45oLt+Bc3SOWjiEU5p3I6f1rIsuywxq2U4ZI8jqSnvia5nnWoFR/VQsDBNUGSVTc0b+WT9fAK+L5biLYyUxlJRTpx8KvuPPZiOaBuKsG0HU8spWy7zl/PinCdYvO7TfDTFTW3+gLFTOwAuRFHi73+7hksuOJ5LLjwBSRI56ZRzyWRSCALEou0k4jHSqQTRaHtx+No0iUXbSaUSxONRkokYoijaofRMxjNG8VgH2WwaUZLI5TJEO9rJpFPEou32l1oUvZB9KpkgEY+RiEfJOCF+91zxWAepZNKRFU6RSWe8XgHgrlJzdO/ei3G7/oSXnv8fqt+PAGQyKSbs+VNamrfSu7Y/PXv3RctlnTEQyeVy3HDdRVx4zs+4964bOPm089llxFgvzbDtuNmOxr6TD6G8vJILzj6ayy86if89fDeKonZKFeRbDTfUrWH4iHFeBKL/gGG0tcUZNHg4OS2LIisMHjaKVSsWk0om7LHKpIlF7TGTJJl0Kkl1tx7U1g6guXkLyWQCQRA/cz4yaTu9EY9HSSbtv3nzKNoth6PO8aPRdjRN8/gTyWScVCpJrKMdBFi/diWrVizlwEN+5ugm/ABWTSXsEBAEOzQfDoT5YOksnpj5CBG1DMuwiXkWuH2AAAFZkkin40zc5SdccszVGKbu1MJ/TkWMIHh8AkmUmLHkDbJaqsBxsApS4CK5TJqhvYYzsHYomWx6Gwd4R4M3hqEyJoyc5KQKZad1sMtlcqIgip/3l86gI9GO7EQwPzNj6Bl/kViyg6MnHc/ph5xLVssgoSBYik3WdPooWFiYhp3WWbhuHg9Nvz+v9/+DX/vb2CFJgPkct7FdkoW7CnZD1vD5ITMLi1gsSizeQWPjBuZ88A7jJ0zCbUB53EnnMGbcBFR/gBXLPuXJx+51tLPtTl2nnXUxI0buhmkazJrxGs8/8yCSJHmr8kQ8yilnXEQqmeDpJ/5N/wFDOf6kc+jarYaG+rU89tBddLS30LvPAPb96SGsWLaII47+BYIg8tjDd7Fy+UJU1a57PfPXv2X0mPF88N6bKIqyTSjLzXfvs98hxBMxNjasJxQKeyVC+0w+iMcfuZs9J01hjz0n8+wTD+APBLxx07QcYPHOWy9x/C9+zeChI/now3e9kSoet3y6wVbtyxIOl1FftxpF8W3DFwD7cpcvW8je+x6IJMsEgiFqevTm9ZefZMjQkZimSZcu1XSv6c2jC//B6HET+PkJv6K8vJJMJs3Tj/+bxQvnMnL07oyfuB+CBbfc/ggNG9bx+KP/QlX9250PUZQQJZFfnnUJ+005jKWL5vPYw3d5nITq6hpOOPlcanrWsrmxgcce+ietzVvoUtWN4076FcuWLODIY05hc2MDt996NfM+eo/jTvwVwcBdJTJgCV8ahVUBkUAZT777IOMG7MqofmNJZmyBIK/u30lnS6JENNnBfuMOJKvnuO3ZP+NT1M93Apzaeb8aYNn6JSxZ8ym7Dp1AKpu0RX0AnLQDBvilAPuPPYBl6xZ5xnNHe6Ldd4kkSsQzMfYdOZnayj5kcxk7OmdZnpiSBciyQnO0iekfv4qqqF4r5e0dV3BW95Ig0pFo57Dxh3Pu4ReSzmQQnTp/WxPBi9FgWbagUiId5e8v3Iyu6/gd7ZedxQHYISMALmktGArRpaobFZVVVHbpSmWXrlRUVtGlqhuhUGQbdvrnYciQkYwctTsHH3ocE38yhbenvwzYevddqqqZ8fbLPPnoPewyfBynnXkx6XQKXde46PI/sdekqbzy4uPMmf0O5RVVjv61bfwSsSgXXvIHJuw5mVnvvk63bj353fV/Jxbv4IlH76FLVTWXTvsLmq7h9/s5/qRfcdiRJzD99edoamrk8ml/IRIpJx7r4IxzLmPiTybzv0fuJhwu44CDf0Y6ZeftwH2QwTQMRozalQ11a9C0nCd53K//YGpqevPh7LdZsmg+e+71U0TJXRXYY5RIxGhvayEUDFNR2ZVEPOqRAQu9Dcth7PsUH5/Me58Ro8Zy6hkXEe1oIxAIIggCmXRqmwoERfGxasUiqqq7E4mUU1XVjWAwzPuz3qBHrz6oqp8evfogSRLr1qygf/+hNNSv5fFH/8XqlYu5+Io/UdOzD1u3bKJp80Y6OlqZ/f50Vq9agqHr250PSZZJpRJMPeAoyssrefqJfzNpvwM49oQziUbbKSur4HfX/x3DNHji0XtQfT5+e/WtdjMQSeTQI07g5F9eyPx577Hw0zkEg2HWr11JpKyCHj1r0XK5b/kJL2FnRSGpVRREEARueeYPbI03ovr8mKaOk2R2ygPtHyVRIp5o5+DdD+c3R15BJpfeLim38DzuOXJGjhlL3nK6huLxDTxIAplciv1GTmVQr8Gkc2nbufj/NShfEl7U1TJQZZXDJx6NIORz/uCFTjAtk4Dq55M1H7GhuR5V8WMVKAt2Pq5lWZ6jddD4w7ng6CvJZjUE0wLRZRYU7OuoN6oBP3e+fCvrtq4noAbyAmo73Oh9PeyQEQBBEEmlkhxx9Cns+9NDSSbjiKKdJzZNw9Gvf5tH/nsnwWDkC9mYlmnys+PPJB6PUlVVTTqdZP5H76H6gyQTcW6/9Xf07t0P1R/gpecf4ZTTL0Lx+Rg0eASjx07g/LOOZPPmBmRZwaf4UGQfWBa5XJYLL/0DAwYN48pLTqO5aTPn/9+1NGxYy9/+ciWhUIQli+bxrwdeYpcRY0km4qRSaf59z60sW7qA92e9wT3/eYU+/Qah6zp77jWFa68+l8ULP2LWjNcYOWa83drXyteZWpaFJMt0696TBR9/6IW0MukUE38ylXVrV7CpoY7Z773FYUeeRG2fgWyoXwPYOv0/O+4MOtpbmbTvAaSSMeZ/9D7V1TVF3QkLzwUCvzr3t7z56gtMPeBI2ttaeP7phyiv6MLZ503jnbdeZO2a5aj+gO0A+FQaGtZhWRY9etZS2aWaVCrByuWLkGWFrtU19BswlJbmLWTSSV5/9SlkSaZPv0FMf/05dp+wDxP23I//3PtX1q9fRWVlV1587hHCkXJGj53AqNHjueBXRxXNhyTJqP4Aq1Ys5u5//Bldy+H3BzjsyBPJZTNMOeAoorF2bvrjJQSCYT6Z/wH/+s9LjN11IsuXLsQ04fGH7+bN15+lorIKVfUTi7Vj6DrV3XvSsGEdPlXd7sulhBK2geAKBJmoisqWti3884W/cfXxf0QQ7VbfgpAnBVqCbeglUSKWbOewiceQyiT516t3EA7k6/87L3TcSENADTJ/9Rw2NW+ga3k3NEOzDbxLOsRy0hLlnDD5FG547Dqvfn5HgmukY6kYh084ktEDdiORSSILklOTbzkERwERkZye462Fr3lRFa8JUKdjug5WR7KdfUdM5qJjfotu2EqAgiA5zpLbqMEeL9M0CPvLePLdR5i1cAaRToI/O0tEcId0ACzLJBAI8uZrzzDjrZe2y0x39fG/TCmGKErc+pffsnTRfCRJ5oxzLmPaNbdxxf+djGVZ/O66Oxk+cldaW7biU/1IkowkydT2HUDjpg10dLRRVdUdV2ZX09qJx6P87LjT2diwhgt+dSw+1U8oXEbX6hoGDRnBnfc8g09R0XUNRVHx+4NkMxmiHW10dLTSrVsPDN3mBCiKQnV1dzKZNC1Nm+nWrQfRjnZWr1xiSwl3yrWLooTiU+3cmDNePp/KHhP3YdmSBQwfuSuKopDJpBk/YR9WrVjs8AxE+vQdSLfuPVm6+BNeffFx4vEOanr03jaULwgkkwkm7LkfAwbvwi9PnMqYsXvwp5vvY8vmjaxcsYif7PtTXnrhUUfsxN5flmWi7W00bW1k0JARRCLlbGxYT0dHG60tWxkwaBgDBgyjfv1qOjraOPDQn3PamReTiEdJJuP07NUXRfEhO/LIsqLYURdBoG+/QWzeznxk21qQRIn6utX4/QGUSAXpVNKWVlV8dOvek9o+A7n9rqfwqSpaLkcoWIaqBpAkiVQyTuOmerpW1+Dz+TAMA0PXsSzT69pYQglfBV4a0zSIBCK8v2Qm94X+yUU/n0ZHwiGcWXbjGtsJcAICokQs2cHP9zkZgH+9cgdBfwhJlArK4PAMnU06VGiJNvPa/Bc54+DzyaayiG4ZmwCCJSAKIolskr2G7svIvqNZUr+YoLu42EF0AQTB7gFQHizjmEknousWIq7GviPQg11WHPSHWLB+PovWLiCgBoqZ/8745CPEIu2JNvYZOZnLjr8W0zCxDB1BkAAL0bTL/uwGQaCZGuWRSmbNn879r/6TgD+IK9hc2HlwZ8AO6gDYE5dKJTHN+OdwAKQvxQFw/y5KEoZp8PorT7L/QUcTLitn1Ojx7DJiLNMuOY2W1iZq+wzg+hvvwS1/k532tF7oybR19f2BAHPnzKSivAtH/fyXPPW/+xAFEZ9PZf7cWTz8379TVVWNaZpksxmam7YwYOBQL2xnmg7HwOERGIZRUE1gG3VZVujs0ro19OlUkmAoDILghP+H0Kt3P0KhMvbYcz90XaOioopxu+3Fk4/dC9hNh267eRqNmzbgU/0Eg2FUnx0625ZrIKBrGr1q+7N1yyYEYPHCefzjtus57zfXsOjTuXz04QdsbFhPOFzuVQW4zYNWr1zCiFG7AQJzZ7+NJImsXb2c0WP2oLZPf96e/gLBUJjTzriIZ598gLfffJ5EPMqfb3kAf8B17Cyvq5fozoey7XyAnbcTHSEUyzTsNI1gi3f4fCqLF87j3n/eQFXXbs6cZGlva6asvNJj9JqOVrrtUPkRHVKjO0cllPBlUbhSNC2T8lAFL3/8HP1qB3H4xGOJJTqQRQDRk5p1IwcWIol0gmP2PomycAX/eOEWsloWv8+/jea8e/ygGuLNT17lwPGH0y3SHc3QOuXN7bSqKIv8fPKpLHvoCk9PYEdIZ7ur/3gmxvGTf0FtdX8SqQSiJBT0DnB6Fgi2VPCLs5/2CJNF4yLkKwlMyySeaudne5/AGQedi4iAoRsIQp7wZ4nYBEFEdNMgEihjbeNK7nr9NhSfzzuOU0f4/Q3Sd4Ad8s3mTqQkSSiKLYdZ+K+iKNuUjn0eDNOwmeGxDlKpBGPGTcSyINbRRvcevdmyeSNr1iwjmYix16SpBAJBZFlm5bJF9OjRk2G7jGHr5o3Eou1eWFyWFdavWcGNf7iY4086hyOOPpm2tmaWLfmE0WP3oKOthUWffsTSxZ/Q3tYK4NXAF12bYSDLPjZtqkeSZXYZMY6NG9bj9wcZu+ueNmtXLOYAGIbBpoY6evbs4+XiJ06aQn3dGi485xiuvPhULr/wF/x+2tn0HziUXrX9yDpCP2VllTaXoqIKxTGmlgWGYRtcG07HK5+PtauXMXjICPoNGEI2l+GJx+5j7odvccrpxzL9jWcxHHlOdy4syybnLFk0n5Gjx9OjZy1rVi8jFC5j+dJPGLfbXlRV17By+SLKK7qgqiqLF82jaWsjvXr3Z+To8aRTKa8qQlX9tLe3kNNyrFy+iJrtzIfgsPkL+y5YloVpGEiSzOJFHzFi5FhSyQQLF8y1W0G3bPXu1TTMgoyeTXrsUlWNKIhs3byxwOkooYSvDvfZ8SsB7nrhr0z/+CUqghUYpo6AgWff3BIBxyYnM3EO2uNwrjrxesqCYeLpuNfNr7BM0C4JtKMAb338Kn5/AMsyECwTy40YAJIokMokmThkIgePP5R4Or5D6AK4C7p0Lk3/mgEcu/dJ+WoFiwIdJXtBEFJDLK1bwLxVcwmqoTyh0cofTxIlcnqOnJbllClncP6hFyOaYOiabcMF0+m+mD++ZmkE1QANzXX84eFpRBNRfLLqRV52MtsP7KARgG8NDiEmFAzym4uvo6WliVAozKChI3n0v38nm83wybz3OObY0/jzLQ+QzWQYMHAouWyaUCjChvo1PPfMw/z+T//k3bdfpry8C4lEjFtuvAK/30/Xbt1Zt3YF1/z2LP54031gwQvPPsxu4/fmnv++ykdz3qWyS1d69Kjlj7+/ALCIRCLetQGEQkH8fj+xaDvPPfUfLrr8j4wcvTtdq2sIhcMosuRt6+YCFVlh4YI5nHjqeU71gMj+Bx7OS88/QSKeb5axcvkiOtqbmXrAkUx//QXKy8qwsI29JJk2Cxn7yxeJRLCFkcAlOPqDIRYvnMeMt17m5tsf5v2Zb1Je0YWKyi48//RbXHz5n7nu6nNpbbF7jEM+HbF29XK6detKe9sWtm7ZRCgUpm79Gqq7V9PRZqcIMpkUS5cs4Lo/383s996iT79BYBmoqg9F8fHpxx9y8W9v5LZ/PsmaVUt56D+38/wzj2x3PoLBIIau2S9EQJFlAsEgoVCYme+8xh4TJ3P3f15izvvvEI6U0bf/EG760yVoWo5IJJIXYBFtJcUhQ0fR3LSZrVsbvU6QJZTwdeC1wRXthcNtz9xIQA2wz8jJRBMdyKLoqP6B5fYNEEwkSyQaa2fPIfvQ4/Q+3PbCjSypW0Ak2Lm7qeVxAd74+FX23/1wqiJV6IaO5DgXlpMPkJDJ5nKcPPlMPln9MU3RJnzy99tLpJDoeOZB51EZrCaZjjnvMXDLJQTs76dm5njq/f+h6TmnHbIrL543/slskspgORccfjmTxu5PIhW1tfwFt0Vx3umyBHuxEFRDtMRbuO7h37KlbQshfygfWShIu+xMkLpU9bzu+76I7xKWZbFp0wY2N26guWkzdXWrefzhu/nwg7eJRMppadnKwk8/oqamN01bN/HYw3exfv1qGjfWI0oSixbMYf26lXSv6U1HRyvvz3qDeCxKPB5jzepl5LJpmrY2smjBXCoqq2ioX8vMGa+STMbo0qUb7a1NvP7qU2xp3IhlwYb69WzauN4rsWtq2sK6tSsxTZMVyxfSUL+O3rX9+WDWG7z2ylNsbmygvbW5KAwtKwpbNm9i/4OOpG7datrbmonH48ydPQOcULi7ff36tXR0tLN1y0Y2bqynbv0qTLN41W6aBg3166mrW+39zVW5kkSJuXPepWHDOrpUdWPr5o088ci/eO2VJzENg1Q6SVtrk9f7G0BwqhLq1q9l7ux3aW5qRFF85HJZNtSvZ+6H77K5sQFF8fHxvPcwdJ3y8i68/PyjvD9rOo2bNpBOJ9m6tZGli+cjiRKNjRvscf50LuvXbn8+1q5ZQTTahizJZLNZ6uvWsGXzRkRR4P1Zb9De1kJV125EO9p487WnadiwDlEQ2bRxAxvq12A6eg3pTJqTT7+AeXNmsnzJAvyBwI+qFNBO/2TpNWAMg8fsw7olH9Kw5hMUn5/PLrIu4TMhFDPRAWYvm0ltt34M7jnMYeXbn7vhenDSlqJIWktTUd6VSaN/SlPrJlZtXI4kyp6j75YTKpJCa7wFRZDYc/g+ZLQMkqMZ4JY8I4BuGFRGqggHwsxc9LbDoO/UN2R7tyHY6nxjBuzK2IG7k9WyNrfI+btl2Y53S7SJtxa8/gWpM9ui5ol/UQ7c/TCO3/dUEqkYoiR54+CSJE3TJBwIM2/Fhzz69n8JBcNF38u8wE+MvtV9mXbSdYwfNoloogMRMS+f4DhD7nWbpoHqC9CWaOH6h39LfVM9YX/YM/7fl2P0/wPCwCG775Tf6MIHOpVKYBj5Xtiq6rdZ66ZpG6tM2hbkEUWCgRA5LYvfH/Qe4FQq6QnqqP4AgUCQdDqJIIhe/X4mk0bL5QhHyrAsy9HMt0t+fKpKIBDEMAwymRTBYNh7oFLJBD5VdfL99rly2YxDRrS/4C7Z0XuJSBLRjjaOOe4MBgzahVtvvAJRlPD7A0W8CFuwKOUcw08ymSAYDBcJ27gOQCqVLPpb5wc/mUyga7YqXiAYQlF8xGId+P0BfA6PoPM+iUQcSZIIBILe53bvApFgMATg9RgwDJ1AIGRHJAQBnxoALDKZNJlMGkVRCIUiX2I+7P10XSOXzdo8Ced5SCbjGLozJz4fgWAIyzRJpZMEAiFHgTHNgIHDOPu8K7keZnixAAAgAElEQVT+mvPRHcGgHxMEQSSdjDJ+yikccsrVTH/8r8x+/T4CofIvRbotYVsUfqdEQUQzNCRR5Lpf3sK4fuOJJ6JIsoRbYOZu665sTdNEEmUU2ccrHz3Pw2/dTywdJeQPe+VvrpFUZJkbzryNAd2GkNWziIKtDGi58XS7whe/6ueGJ65h5sJ3vlRPe1EQiaWinDrlLH55wDnEUlFEUXIMqYVpWgRUP8s3LOHKB/6vaFHwWWNiC5RlKS+r5OZz7qJroArD1GzHwnJz/k6s3rKQJJFrH7mCT9cssEmMTtpPEiWyWhZd1zhk/BGcdtDZhNQImWwaSZSdqgfTUUnMk/5Mw0BVAiSyMX734CWs2riSSKCsYOW/c5H+OmOnjQAUlrGpqp9AIEggEEBVgwWec14nPxgMoap+RNEm8hWGpVRVJRAMEQgEPfEhn0/1CIJu/buq5j1p1e/39nG3E0XbYbBh597dcxaeK+gYWFlWnDx9sZfrnn/d2hVsqFuDrmuoqlpkgPPb+Zx2wYLnrHTexr2uzga8sPJCVe37UQscI7+/eCyLxx38fj+KE6JzP1dVPz6fr8hJ8fsDBIMhh/PhKxJ4UhQfwWDI6y3wxfPhvBAkySvdc9nD/oI58a6r4N696wfmzH7HSacU90f4MaAUAfj2Ufjdsiy7c6Bm6Hy4bCbDaofTr8dA0gUqffZ63SadCZb7XBrohsboAbux28DdqW9aS0NTPbKUjwbIkkw8FaMj3s7kMQeg67kiop/9swhYWKbFuCET+XTNPJo6tqB+gVTwtxUBsG1q3mFBsLj6hD8yoMdgclrGNtgFlQkiNsmvLBzh1bnP8+wHTxMJRjBN09FagHg6Tteyai484jJOmvxLLMFC0zRkUXLyH26bX4cz5hh/vxokpSX4w6NXsrx+GZHgj8f4ww5KAvy24BI3bPKdiWlanoHobORsdn+eWJPfXyjYv7gev7Mh7VyumN+n+HPn6oqMZedzucfbnvEpfJFsaqjzPuu8beF1db6vwm0+62+dj+NWQOSvY/t9sD9rTLY3boVjtb2xdysBOo/1F81H4Ti5X/7C/TrPlft/SZKIRe2SRddx+zEZ/xK+O3SuDPApPlLZNNc/Mo13Pn6TSCiEho6Bs+DFdFj8zn6WiCRAPNlOn5r+3HD6HZx1yPm2Wl0q3xU0HIgwZ+VsZi99l7Bahm4adjjdcnmGFiIiuqlTHijnwiMuI6iG0HQNseCd9F2gMGUhCALpbIpTDzyHXQdNIJtK2TX/nfbR0VEUlcbmTTzx3qNe2Z8oSmRyGdLZFJN3PYDbzrmbKeMOIJ6OO1VVgmv7AdPmEzgEZ8MwCPojNG7ZwNX3X8KSuiWEC42/PVHf2TjsKNipHYCdFYWriUKBmpKh+mbIp1jkoshFCSV8mygM16uySlbLctNT1/L6vJcoD1YgWvbqHEQ3U27bMNFuhiOLdr8R0zQ4Yb9TufHMv7Pn0L3JOsZQFCUkQeKht+6nJd2BIql2MyLvbe/I4op2H4IRfcdwxXG/Rzc1T073u3IC8lwImY5kB0fvfQLHTTqZeCqGIElOiN7yWHqWYGFh4ldV/jfjQba0bibgC6DpGvFUlD5d+zDthOuYduy1VIS62KWDgoho2SkEwa3vt28bC3uxFwmUUde8lt89chkrG1cQ9oc92fkfE+F3h3AACldvoih2qof/5pNRaCB3lsnd3iq+hG+O0riW8F2jcyRAkRQUn4/bn7uZe1+9k5DD5TEtHbBlal0NfHBW8YJdORBPRelXM4hrT72J6065kaF9htOeaEUQBOqa1vP4jPvw+1QsEwRT8GSCBScFKUoSsXSMvYZN4uTJvySRitnXhlAUGfsmKDyOS/qLJtvZY/BETtn/TNKZBJIoeFwCz1I73IeQGuHDZTN5e9Eb+NUgLbFmysLlnHf4xdzy63vYZ9RU0pkkOV1DcMrDXaVlLAvb97HAiQCXhcuYtXQ6V9x/Pi2JlqLufj82p/97LwMsDGcnEjEMw7BLPpxcvOr3O6SVrzcx9n4i2WwayzTxB0JFOfUdCYUrA9M0t9MCt4QSSthpYOWdABERVfHz1MxHaWrbzG+OvJxQIEwqk0YSpby+v7s4drgBsiCj5zJoWEwY9hOG9x/F+8tn8uaHr7B0w2KemvkYY/uNZ99RU4kmWhAlBbfNrftfSRCJZ5Kc8NMzSelZnpr5KAFfwBPA8RZOX/MVVGhYbSJhjN2HTOB3x/8RHwq6pXvNdbxrE2zhIp8SoDXexp3P3UosFaN/9/4cP/kXTBozlQFdB5BMxUmmEnauXwBTsOMlomA5TYMEEC0000ARVUI+P4/PeJD/Tr/PJg0ralGp34/tPfstOgCuqoL765cjUBQS0faZfChVVdWAzY5fs3oZ69Yu9yRbv44TYPeWT7LPfgdTVlbByy/+j2AwtENGAryH3qeiKAqpVPJH90CWUMKPBl6qOW8gw/4I7y56h4amei45dhq71I4mlooi4HJbXLPthLMFEBARsEg4QkGHjDuKfXaZzKxF7/LS7Ge47YUb6Fndm95detsKgW7g11khC4KAiEkqm+Ssgy6ktqoPtz97I5LkQ1V8X1Ad8MUF8m7lgwW0xVs5bI+jOO/oyxBN0F0hMaf80XI8HMtylPmsHH95+hq0XI6z9v81++9xCLVd+pHMZogmYsiCncqwCqIGllPm4PYPsHSDcLCceLKDvz33J95d+DYBX8CWVza3rV76MeFbcQDcVbZpGWi5HIqiIEqy02zhiwfVJXScfe7lxGJRtm7eRLisnNPPvpRFn87l77ddh5bLIUmSN1mapiFJkh0qKyCQiZKEaeh2OYziQxBEctksQ4aNpHtNL5596r+EnNIwt92wW4Lnhqhc9mphdKLwAbH7AdjlYaLTgcswNAQEJFkuIqcB6LrmtS92HzjTND32v2HoyLKCKIpEo1EOPuwQxk/clz9ecwGhUL5k8Mf6kJZQws4OdwVqYlIWLKO+uY6rHriUUw86i0MnHIOe1dD1nNcUzatucdUDLRCRsUyIJaNIksjB449g8tj9+WDpTJbXLaG2qg95B0JwjL9rNwUkC5KpKAftdgTlwXJuf+EmWqOtRIKRL1wwWQX/twp/cQx0JpdBNzXOOuhcTtj3NHKGhm4ajv5B3qHxavOxUBU/y+oXsceAvbjm53+iMlxNRkvTnmxHFERkR+4by8pHdS2QnMWnZRoIlkU4VMnChvn86/nbWLXJLvOzsAp6K/x436vf2AFwS6ly2Qw+n0ptn4G0tm4llUzg9395ARXLsshkstx711/44L3plJWV06NnX2645T7OOe9Kbr3xSiLlFaSTCRAEulbXEIu2k0wmCIVcQQiRVDJBJFKGT/XT2ryVUDiCKApkMlnS6TSCaJfWJOMxQuEIZWUVNDdvQZZlfD4VLNtgS7LsGWq7zE9xHAaTdDpJ1641pFIJspk0hmFQWVmF7jT38fsDINiKcnZHuR6kkkni8ainKieKIpl0GkX1UV5RRWvLVrscDQgEAkQi5ciShCzLRRoGJZRQwk4KwTbEhmkQ8AXJGTnuePZm6jas5fSDzqUsXE4iHS+ohnF7BzhpQofwJgn2oiSRsiMCU8YcRFbLepoAlqd/K+T9B6/kTiCRjrLX8H3oWl3Dv1/6Jx+vmosiKwT9YQTBboVedNFOsNc9lh2osPlcmqERz8Sore7LaQedzeQR+5NOpzAFE0lwFRCFvEPjHFsUBLJahkE9hzKq/ziyepZ4OoooiLaYkgBuWYMFtly6ZSE67YPdMRQFmRdnP8N9b95BVst5egeuOJN9Cz/e9+o3cgBc46/lsvTs1YeLr7iR2j4DaG3Zyp1//T0rli/8Sk6AKIkEgxEikXLC4XLWr13BHX+9jquuvZ0eve6icVM9w0fuytnnTUN1hHIee/guZs14jXC4jN9c+gc21K9h1Jg9qK6u4aM5M/nPfX+1yS6i4JELM6kkhxx+PEf+7DQsy6CleSv/vON6Gjas5/JpN7Nm9VJeePZhIpFyBEHkmj/cwcP/+TuKonDEMSfTsGE9e+97EKZpcMsNlzNsxDgOP/IkFMXHv++5hTkfvI0ky9T0qOW8i35PRUUXZFnh5Rce4+UXHkOWZc7/v2tp2tLI4KEj6T9wKCuXL+Jvf5lGr979OfiwEwiFw9xyx6M0bW3kzr/9/ptMUwkllPADgccDskwkUaI8UMHL859n0YYF/GLKGew3+gA0XXPq5UVMBLd9AJZgOjl0QLAXGSYWiUwcUXASBZaAUCiC70oPW/lVvOi05O3bpT9/OOVm3l86gyffe5Q1m1aRzqYxDb3wgu3VtvurYGFiks1lSBoJupZ35fi9T+bQCcdQEa4gkYlhdyYVvMiDF5Fwj4HTxtgJ4ScycQQEZKftr3MiAO9e7JQB6DpIkkh5KMzyhuU8+NZ9fLxyDqrPT9AX/EKxox8bvlEVgE3qsLvRHXbULxg9dhSGrjNg4ACOPfGsr0Vgs1WtTEzTIFJWTkP9WnK5LN269yIcLuOSK27gnekvcOmFJ/LAvbdy+lmX0LffQNLpJIOGjGTiT6Zw1x3Xc/3vzmevvadwyOHHkUjEbHlcQSSdSjJqzB6ccc6lPPjv27jykl+iaVkuvvzP5LJZ1q5eypQDjkRRfKRSSUaO3o1etX1ZvWoJ/kCQfSYfgGHoXPabX/DxvPe58a//paamN1dddgZvvPo0Z5x9KT5Hn/+SK25gxdIFXPabk/jbTVdy1LGnMmbcBJKJOD179+On+x/Jk4/dy1WXncHgISM49MgTWLNmGbPefY3NjQ3c9KdLefShf5Qe2BJK+JGgs2CQaZmEg2U0tjXylyeu5bZnb6Qt1kJ5qAIB0dPiMMER+HHft/bPokO8wxUVcmrwXU1cb9VdoJ8hICBJElouQ07XmDLuYP58xq1cesSV7DF0IsFAxDO4Xuze+1lAFn0M6jWU06eezQ1n3sFpU88hqIRIphOIgoQg2s5IXp24gDvGtk6BKNiVYV6kw8l95E9tgWViWiaRYBgBeOq9R5n2wG+Yt2I2QX/IdoYKCY0lAN9SGaCAQDAYRsvZpI5s1iQYCBUp3H3dI+uGbofATYPxE/fFMAw+mf8B/foPoX79GqIdrUzYcz/SqRRg8ewTD7Bq5RJWLl/I04//m733O7iIQJjLZZk89XDmfDCD6a8/RzTaxt1/v4HetQMYNnwMb735ApFIBUOHjSYejzJ5yuHMm/Meba3NqGqADXX1PPHovbQ0b+bN157BMAyef+ZBtmxu4M3XngUEysorGbrLaLpUVfPezDfo3WcAba0t1K1byd777k8mk0GWZF56/hHmz3uPNauXMuPtlxkybDTZTJpYRxu5XJaNDXU0b91sj0TpwS2hhB8FCg2xnYY0UBWVoBrhtY9e4LL7z+X5D59As3RbDtcywTKcXLgj0GVZRYb0S5e3usI5lh1WFwWBWCpKQCnjsL1+xo2/uoMD9zicVDbppAMcOAp7uVyO2uo+3HLOPzj54LPpXd2XaKoDw9LzyoAm3nV91jutMDzvOi3Oot/72XLUDA3TxKeo+NUgH62ezdUPXsxdL92BbhiEgxGnlW9x+WUJNr5xCsCyLCRZZsbbL7HnpKl0qarC0E3eevN5DF1HUAOYllEU4vlyyEvHqqqfeDzKoCEjqKis4tcX/g5FVjAtE9OCluYmVFUll8vS3tZCyJn0luat+P1BR6LXdHTmRcoru7BqxWICgSDBYJh0KkkiEaNb954sXfwxK5cvYs+fTGH5sk8ZPnIcf/3LNFRVRRRFJ5ogenr47W0tGLpBMBRBkiWvf31FZRWBYJgzz7nMI/8FgkGWLv4EVVUxDJ1EIkYoFMYwTExHuUoUbGKhKIh2jwDF53j5JQ5ACSX8qOCy4T3n36IsVE40GeX2Z2/m7YVvcPpBZzOmdjcsyySdzWIJtsqfmwYQLLfu/8u+O/KkOO/9LkhYhklHqsN+LwkF8tieaI/llSpKSGBAIh51Vu+CrWrolC5aorPq/xLvNKGAGShaBSt+08K0LFRFRfGpNLTV8eS7DzN93msgQFmo3FP+tO/lR53q/0x8IwfAJcn5/UE+/fhDrrjoZAYPHcGGurWsXLHIa7Zib/zFx7MsC8s0MA0Dw9Bpbd3KT6cejmWZ1NetZrfxe1Nft5pLLziRyqquYFlkMxlkRcEfsHXpVb8fXdfs9piBELquo+macwIwLZNMOk0kUo6m5TCcagFVDZBMxvGpKjNnvMrPjjudKfsfSbSjjRXLP8UfCGKaBt6j63iuNq9gW7EMLZejva2ZaZf+0tPPz2UzSLJMIBjCNAzvwXSLey2X0CLYPelNh/znDmCJCFhCCT8udF61GqaBLMmUhytZuWEFV99/GROG7cVRex3PLn1HIgsyqUzSKYMTcZvduwp/TnsdhMKlfsHL2Q7ru+e0SwztY1i2TK9lM/Rd428JzpFcX8B7FwrIbnm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CD9+6m8kSHvsNZn23bzvyu1Wmod8iv9tvYOsBYpWxi7NVLwurzg3VycLaVkPCYd+//TdFUXBaScFs7WNh1cF+nPZ62MufCLGMrKe9reqF09rOqbXMEvTIdohsp8i2Ot45tr5b27Uvt7CLs1VPq7xpmuG62c9F5L4aEyeuM/E4Sffj/+96VJeLwLYteP81D2fHjjRbtBItNQ3P3K/xtGpD3PBLKRt3O0ZRMcS6AQXj8EH0AwdDQhzjIvmRx0m6417QHCiKgu+H7ykcflad0FoVEZh1PnChG8T0OQ2AwJpVlIyfTNzggST+ceyRdKaCuoEyRyzzejTCi6AhrBtl1apVrFy5EpfLxahRo8jMzMQwjPDNY2Hd3Dt27MDv99OjR4+jBLghEbIvi1xuvyHtFrtdaEzTDNdV13VmzpzJoUOHaNWqFaNHj64nKJao2wXeOlb7AwfqC5Fd2CMfVKqqUlBQwCeffEL37t0ZNmwYHo8HVVWJjY09ymo1DCO875ycHDp27IjT6UTTNGJiYk6ISFt1yMvLY+bMmZx++ukMHTqUpUuX0r9/fwzDIC4urp5wW+tabRF5viLbyf575Hm2vz3Yrwnr/CmKgs/nwzRN4uPjMU0zXBfDMMjOzqZv377ExMSEy1v/9u3bx+rVq4mLiyMrK4u+ffvWMxAaCyfsaOrljLYQAkVV8W9aT/X0tyi+agRGaQVKfBxaahpmVSXV7/+N2POH4x52EWZ1Nc6u3Wg+dwmZ67aTtXE3WRt3osTHkvCH20m+5wFAQVRXYeo67kFnhkS3urp+XerC6BTliPhqbdqR/IdrSXlkQqiQaYKuozVJImPGLBRNC6131An/7Qg1wPTp09E0jebNm3P//fcD4PF4yMnJoaioiMrKSoQQZGdn4/P5KCws5MCB0Aw7q1evpry8PCwSmzZtoqKigpqaGkpLSzlw4AAFBQX4/X5M06S4uJjq6mpKSkpYu3YtJSUlqKpKaWkphw8fZu3ateEbvra2lpUrV1JaWhq+KUtLS5kxYwaDBw9mxYoVvP322wDs2rULj8dDUVERK1euJBAIoOs6+fn5bNy4Ea/Xy5YtWzh8+HBY8LOzs9m/fz+qqlJWVsbu3bvZsmVLeF92ob/77rtJTU3lm2++Ye3atbz44ou8+OKLAFRVVZGTk0NZWRmVlZVomsb27dvJy8vjk08+YceOHdx3333MmjUrvN1fctSr9TDx+Xzce++9ZGZm8umnn/Ljjz9y8OBBdu7cyU033cSGDRs4dOgQK1asYMuWLZSVlVFaWgpASUkJNTU1lJeXk5ubS15eXlh0N23axN69eykrKwsL548//ghAWVkZ+/btY8OGDWiahs/n49ChQxQWFoYFuLAwlF/n+eef55lnngHA6/WyatUqKioq0DSNt956C13X2bNnD8FgkPz8fNasWQNAdXU1W7duZe/evRQXF4ePubFx4ixqYeWXjnjliYmhYvJ4hCeImuBGjXUggiHxDGzOpfaLecSPvhazqhIR8NPkuanEnDYA//o1iGAQ37LFACTc8AcAaj54h/LJD9N01gLcpw3A2bETgfVr6+3T8m2jKPhXLINxD+FokUV63ezkUCfmQoDDgempwffDd3gXzgPT/E3HS7vdblwuF6Zp4na78Xg83HnnnbRp04ZVq1YxfPhwhBBs3LiRyy67DEVRCAaDPP300+zbt4/hw4eTlZXFX//6V/r06cNXX33Fyy+/zOOPP84ZZ5yBaZqce+659OvXjxdffJHu3bvz+uuvc/HFF7NhwwamTp3K+PHjUVWV5ORk4uLimDx5MpMmTSI9PZ0PPviABx98kPbt2yOEwOl04nA4CAaDNG/enGeffZalS5cybtw45s2bR0pKCvPmzWP06NHccccdDB06NGyx5eXlMW3aNN59911qa2vJz89n7NixvP322/j9fnw+H1deeSUjR45kx44dOJ1OWrVqRXJyMg6HgyeeeAKHw8HEiRNJSkpi69atPPvss7Rr145vv/2WG264gXbt2vH666/TpUsXcnJyuPTSS9m4cSOxsbGMGjUKl8v10yflP0DTNBITE3G73Tz99NMkJyfz5ZdfEh8fz+bNm9mwYQOdO3fmyy+/ZMWKFfzlL3/hu+++46mnnuKll17iggsu4LnnnqNnz55s27aNV155hTlz5rBu3ToSExPZuXMnEydO5Nlnn6VPnz643W7GjRtHu3bt8Hg89OvXj379+vH73/+e559/nuXLl+P3+yktLeXee+9l165dlJWVsX37dl566SUSEhIoKipi8uTJZGVlMXfuXNatW8ell17K66+/Tnp6OnPnzuXqq6/G6XTWs9YbIydOqL1ehD80WSyKiqLVWaZChJIdxYU+m7XBI5OQOxxoyQrVb02j+u1pKK4YHKe0Cv0WG4dxcDv6/r0ocfHhzHf+7B8wSypDIYCERieKepEZoRGSAGqTVDxfzaP63TeJv+FmzNISav7xLmZFBUb+YfSiAoQepGjEuZg1VaG5GpOSQpvRNND4zbg+7Bw4cAAhBE2bNuWDDz5gwIABjB07ls8//5xdu3bRq1cviouL6dGjBzk5OQQCAbp06RJ2gUybNo0JEybQu3dvysrKKC8vp3Xr1jz66KM89dRTaJqGw+HA5XJRW1vLqFGjuO+++5g9ezYfffQRaWlp3HrrrXTu3JlJkyYxZcoU9u3bx8CBA9myZQsrV66kffv2APh8Pnbu3InD4cDj8eDz+XjyySf59ttvKSsr47TTTmPu3Lls2rSJs846i6eeeorrrruOZ599lmnTpjFjxgyWLFnCNddcQ1lZGYsWLSIhIYH77rsPj8fDZ599Rtu2bXnzzTeJj4/n3nvv5e233+af//wnDz/8MDfddBNXXXUV7du3Z926dQwZMoSbb76ZVq1aUVJSwo4dO3j55ZfJzMwkLy+P9u3bc9FFF4VF+pd+bbcsdKfTyZtvvsm//vUvxo8fz5gxY6itrWXAgAFccMEFjB49muTkZDZs2MC5555L69atWbw4ZBQ5HA4CgQCtWrViypQpfPDBB3z00UeUl5fz9ttvU1tbyx133EFSUhKnnnoqHTt2pEmTJiQlJfHEE0+QnJzMQw89BMDYsWNp1qwZTqcz/BCdP38+I0eOxO12s337djp37sy9997LzJkzmTVrFgcOHGDRokWsWrWKe++9lwceeIDevXvzyCOP8P3335OUlNQoIz3s/PKuD+u1wzAwyyswyz2Y5ZVH/lVUYZRWhkT8qHVNFIeTwIZ1BNavRQQCVL//FnpJMc72HYgdcRnpr71L3IjL0HftACDl8WfJ/HE7Md17AuD55kuU2DggFMuNAvr+PfhWLsefsxolXqHs/rvI79+V/CH9KHvwMSqefoHq9z9GP1iEUV6NUVQOfgNhCPSSSvTSSozSSowaEP7A0fVuxPj9foYOHcof/vAHDh8+jNvtZsuWLRQUFPDdd9/h8Xho2bIlnTt35tFHH6W4uJhAIED79u055ZRTmDBhAikpKSxdupR9+/axefNmNE0Ld77FxsayatUqvv32W/Ly8oiLi2PVqlUUFxezbNky2rVrR2VlJcuWLSM3N5dDhw5x+umnA9CsWTMGDhzIueeeC4BhGKSmpnLVVVcxbNgwsrOzAYiJiSEzMxOHw0FmZiYjRozg1FNPJRgMhn9XFAVd12nSpAkpKSmkpqbSrVs3LrvssnAZgNraWnr37s1rr73GCy+8QEJCAnfffTe9e/emffv2LFmyBE3TWLduHc2aNWPNmjXhY3G73SQlJbFgwQK2bNnC5s2bcTqdeL1ecnNzgRPj+lAUhfz8fB588EHOOOMMmjVrxvLly8PHVFlZSUFBAUuWLGHWrFkMGTKEQCDA/v37OXjwIKtWrQqfKwBd10lOTkbXdRYvXszy5cspKirC6XRy7rnnMnfuXD777DN0XWfJkiXh6yQtLQ2n00nLli3ZvXs3+/btY9myZbRu3RpFUdi4cSMZGRnh8/zDDz+QlZVFRkYGp59+Ot988w1t2rRh8eLFbN++nYKCArKysqiurg73VTRWtMmTJ0/+pTeqKAqYJkZhPs7OHXD16oOrZy+cPXri7NGTmN59MEuLMWuqUUwTNT2dxD+ORT+QR830t1ETElDqpusK7tiGIysL76IFONudipqYhG/ld3i/mUX8VdehxMejpaYBUDF5ArUffYbWJIng1s1Uv/UaxqGDeOd+TfW7b2Hk7UeNjwOnC7MwHzUxibSXp5Jw3dXEj76C+JGXEXfZFcRfMYq4kZcTd+nlxF92BfGXjQotv2Q47qHnoKalY00dpoQ+1bu56t1oQoTLWG0jIOrnX7R8m+Xl5cydO5eFCxcyfPhwrr/+eqqqqvj0009p2bIlgwcPJhgMsnDhQq666io6duxIeno61dXVLFu2jKuuuoqrrrqKpUuXkp+fT2FhIYMGDSI9PZ3OnTvTvXt3FixYwKFDhxg6dCimaVJSUkJubi6nnHIKN954IwsWLEDTNL777jvGjBnDeeedR3x8PPPnzycjI4MhQ4aExT8nJ4fZs2ezZ88eHnnkEQzDoEWLFpx99tkUFBSwYsUKevbsSYcOHTAMg27dulFSUkLfvn0pKyujZ8+eDBkyhK+//hpVVTnvvPOorq6ma9euOBwOTNOkW7du6Loe7vwCePXVV9E0jfvuu4+WLVuycOFCRo4ciRCCTz/9lPbt29OvXz9GjRrFl19+ye7du+nTpw/9+/endevWLFmyhEGDBoUfYL+0dZiYmIjf72fq1Kk0adKE++67j8LCQgYMGEBMTAw//vgjPp+P6upqsrOzGTZsGLGxscyaNYsePXowcOBAhBD07NmT6upq2rRpw2mnncbXX3+N3++noqKCiy++mNmzZ5ORkcHo0aNZtWpV2Bc9btw40tLS0HWdvn37kpyczLvvvkvLli255ZZbaN68OUuXLuWcc84hLS2Nt956i9NPP50xY8ZQUFDAn/70J5YuXcro0aPZtm0b8+bN49Zbb6Vbt274fD6ysrLIzMykadOmJ6T9fm0UcRI97/bQnMIR5+BbsRxF03B07ETmDz/iW5tN8egR4PchTAMlNo5mc5fg6tojnFvDKC6k8PILCKzdhHvYOcSecz5mdRW+xQvwb1iPlpSI6fMjagMoMSpKXN2oSM2BgghNTqCqmB4Prl59aLE0J1y3nzy5deJ6VJNFiG69kCOr7K8Up/pLcLywuWMdiz0qYuvWrbz//vu0aNGC/Px8Hn/8cdxud73rQdd1HA4H77zzDjExMfzud78LL7vzzjuZNGkSGRkZDYaQWds4Vn1/6nPk34bK/Tttdaz1T2QI3r/LsfZ/rHZoKLRw5syZbN68GSEEmZmZ3HbbbeGIIK/Xy7hx43j11VdxOp31ojX+nTay18se+91Q2f+1++rf4RcX6npxmXUjEiPDtFAUCs4fTHD9GlBUnJ270HzZWhSHA8+Cf1J89SWoCYmIgB/3sOHEj7oaXE6C27ZQM2N6nWUcj1ldgwjUxai6NZT4OBTDRKgqiqKGclHXDWqpf9QKpqcWV69+NF/8w5Hh7XVhfYorJjSk3DQRwgx9Nw1Mjzc0itHpgBh3qKPR6QyJt98HqgYIhM8bsrZjY0PuF6cLoQdA149M5VVXj2jFHk5mv0Q0TcMwjvQBRIa/Rd7QEPJx7tu3j0OHDtG7d2/i4+PDN7T9lVXTNKqqqjBNk5SUFAzDwOFwUFhYSEpKCo66wUZWHRqKnbbC3+xhfdaNbdXbHqZnbcuqS2TdI7dhDx2zjjWyLlb4WkNtZbWpvT3t5X9p0TlWPe3HZY/ztocuNnSe7SF1ABs3bgSgV69eR7VxcXExaWlp9SJkrG0dr80aCsG0t4u9vvZwS3s9G5ton1ihbuBpqagqIhigYEg/9F3bQ4NWunSn2eJVCJ+X2hnTKZ9wH2p8PMI0MWs9oIuQN90AJd6FGhMTegio6pGh3qYICfPPOUGKgllbQ8xpA2m+aCUAnn/OpvKZyeCKIeHaG3H1H0TpLdeD5iBu5CgS/ziWossvQHUht1QAACAASURBVPj9xAwYjOu0/tTO+IDmC78nuHsnRVdcSOorb1H7yT/wr/4BR6s2JNwylpp336TZrPlUPPcEwuulyaSnEYYemqy3kV1MkdhvLEvEIy2rxnZDNXYaeruyL5fn9cRwYvNRN3CyFAiF49UlQcLpQi84TOH5g9EPH8KsqkRNSAQEqCpacvIRR7BCOHeIoqh14qwf2fLPvTgUBQyBmp4eXuRd8E+0rNY42rXHu3QRwuvB2akryeMnUzjyEhwt22B6PKQ+/wquHr2pfOYveP61Au/ihVQ++yTB3XtRE5MIrF9L0r0PEHvehfjXZlPz1QISZn1BcNsWYvoPCu1M0OhF2o59kIR9lKOd471yS3GPHiLdRPbz1dBv8rz9MpzkxBUhtRVeD3p+IUaZD8XlA6MKfXcRiitUI7PGh1BAUes64dS6DjjrJgcUVQGU0IAUy2Kvs64VJTShrbDHVlp/hQg9INS6EYh1GMUFGCXFBHduJWnsOPS8ffjX5VAx8UESf/87hB5E1FRR/fbrJI17CKOinPgrLqLo6suIHXYh7nPORgSDCE8tni8+RY1PQN+/l9gz+1L12lTM8kKSbr8ntDNVOcqv3Rg53kP7WN/ty481Mk7y6/Jzzmvkb/K8/XecZKGuO4lx8TR56hmMA3kgBCIQwPR5Q59rqkN/fV5Mb92y8rJQzLXfH5r9RQjw1CIUBXw+MIxQ7HQgEPIXWzPE6AamboZE27QZspqGUQOYdcOGvV4CG9fT5JmX8Xw5k8D6NegFh4m/6jpqP/mU1OenUTn1OVw9+5A87iGU5BQCmzaQ+txUYvoPxNG2PbUzpqPn7QfNQdLd9+Ps1JXqD94ledyD+L5fQfXfXsXRsWNdM/wb1r9EIvnNc1KFOmwhxcaSeOMtP3u98OuUYYR806aB8HhCouz1hjr99CDC6w15R6qrAIFZXY1ZVRXahqcWANPjAUPHrKrE2aFzaFllOc7OXal+Yypa02Yk3fMAlX99iuR7HkBNTsGfvRItM4vAumwqnp5Ewh/H4h48hJj+g4g953xqZryP+/zhqMnJqE2aUPHUJBJvuxNnx064evbG1b0XIlCLmpJqtcQv1aQSieQ3wEkPzwv7r4wjE9/W/RjSL0UJm74i4jXql/ZzHeUXhfrhd3UdllbkiBIRFhQuY1nIdZ2lR5WxOlEjQsEkvxz/SQihRPK/wkkV6kga6nj4mSvW9zlH+ntFXZ4RRRAamKLYRpzY9q2q4RwfdSXrOiqPuCYiY0ih7s2goX02EBdq/SY4cQ8ciRRqSePmVxXqXwVLYG3iGe69ruuEDBU7dsJ3++eGAvPh2CIhxUMikfy7NK6krT8HWxSIvYdaVVVU5UieWyuMTDnGssik5fbl1m8NbcMqL/llsR6QQgh++OGHet8lkv91fntCLWnUCCEoLi6WAi1pVEihljQqIt9egPBgG/vQ5IbcVfYBHFLoJdGEFGrJbwJ7XoiG5gAE6gm5RBJN/Dam1Jb8ZrEEuaamBk3TiIuLC4u1PX+xfQZxK7GTlUDJngjIzomc5VwisSOFWtJosbLijR8/nu3bt5OamkpGRgaTJk0iNja2XgSPqqosW7aMFi1a0LFjx3oZ/eDIMPZjJSWSSE4kUqgljZ7Kykr+8pe/0LNnT5577jleeuklJkyYwBNPPEEwGCQ9PZ2BAwcyadIkTjnlFO644w7KysoYMWIEn332GT169GDhwoUcPnyYjh07UlJSQjAY5OGHHw6nXpVITiTSRy1p9NhDKa+//npqamp4/vnniYuL45ZbbmHWrFkoisI555zDFVdcgWEY5OSEJpTIzs7mwIEDLFmyhN///vd88MEHdO/eHa/XG545vDFPASWJDqLGHLC/Uup6XQJ/m//v1/YHRibSdzgcDY9ClEQllutizZo14QkKRo0aRatWrejduzdOp5O0tDRatmwZnsUcIBAIYJomXbp0oUuXLvTt25dBgwZRU1NDZWUlICNEJCeeqBFq+2AQa944aHgI97GWN5TPuKGZR+z7a2hZQ7mRreXWbBT2Mj+VL/mncvQ2tB+Zy/eXw+fz8dxzz3HKKaewc+dOpk2bxr59+3jqqafo06cPy5cv59Zbb6VNmzZMnTqVKVOmsGfPHh577DE2bdrEqFGjCNRlZNR1HcMwfvHZwiWS4xE1Q8itC//QoUOMHTsWp9NJYmIiRUVFtGzZMjx5qBVCpaoqmqYd0/q2LF9reeQUP1a5yPWtCUyt3n5rPcMwcLlcvPfeexw+fJhHH32UQCBQLxG+fR/WdiKnZLLKWlEGuq7XE3FruWEY9SIRpFAfH/u5njNnDpdccgkQau/Dhw+zd+9enE4nXbt2JSEhAYD9+/dTWVlJy5YtiYmJIS4ujs2bN9OhQwcqKys5ePAgWVlZxMfHU1tbS9OmTSksLCQ9PZ3a2trwlGHy/EhONFFjUVuYpkkgEGDPnj3k5uZy+umnk5GRUW9oNhyZ383uErEvt5e1i6Bd0O3rW+Xs69q3ZW1/5cqV5Obm8uijj+JwOI7K92FZ3HAk5AsIdzpFWuLHcunYO6mkCPxnWO2amZlJixYtwufT8im3atXqqDebbt26IYQgLS0tPJmuoijExcUB0KxZMwCSkpLq7UciOZFEzbubJWiZmZnMmzePp556ClVV+eqrr5g+fTqzZ8+mb9++jBkzhkceeYSXXnoJVVWZP38+AwYMYNSoUUyePJlnnnkGVVVZt24dF110EX369OGNN95AVVV+/PFHhg8fzoABA5gzZw6qqrJgwQKGDBnC4MGDmT17Nqqq8umnnzJhwgTGjh1LTk4OK1asYODAgYwZM4b9+/eTkpJCTU0Nt912G+PHj6d3795MmjQJRVF4+eWXefHFFwFYvnw5d9xxBz6fjwceeIAJEyYwePBg/vjHP1JVVYWqqnz99df069ePa6+9lgkTJvDWW2+xb98+zjrrLLZt2wbIzqr/Brs4W2819ge29QZkPVztE7raf7N+b2hZlLyUShoxUSPUkRe9ruuYpklsbCyrV69m1KhRdOnShaSkJKZMmcKmTZvYs2cPF198MW3atKFTp048/vjjfP/991RVVXHeeeeRkpLCddddx913383HH3/MQw89xKFDhxgyZAiHDx9m48aNDB8+nObNm9O2bVsuv/xy1q9fz6FDh3jmmWfIyclh165dDBs2jJYtW5KamsqiRYuIj4+nqqqKd955h5ycHM4//3yeeOIJli1bxtq1a5k/fz4AW7du5aOPPkLXdWbMmMFnn33GxRdfzLvvvssbb7xBbm4uV1xxBT169CAzM5MpU6bwww8/EAgE2LhxI7W1tfXaRPLvY3eTaZoWNgjsCbTsb1DWG07kb9Z6kYm2rG1JJCeSqHN9WFg3RlxcHJ999hm9e/dmxowZQMi3qOs6s2fPpl27dnz66acAFBcXU1BQwPLly6msrKS0tJRly5YRHx/PokWLuPbaa3n44YfZu3cvd911F6+88gq9evVi5syZAOzdu5fp06fTpk0bMjIyyMnJYeLEibRu3TocilVcXExRUVHYNfH888/Tt29fPvnkE7Zt24bL5cLlcgHgcrlwOp2oqkowGOShhx7illtu4fvvv2fHjh18/vnn9OrVi+nTpwNw4MABCgoK6NixI6WlpeE2sAZdSP5zfir97LHWOV5nr+USs5c7VkfxT3UON7Sv/9b33dDgHNk5/b9J1FjUx7JOhBC0bduWnTt3snfvXgoLC1m7di2qqtKxY0f27NnDt99+y969e1m4cCGaptGiRQsALr30Uh577DEmTpzII488QqdOnXj33XcRQnDOOeeQlpbG3r172bFjB3l5eWzZsoUOHTrg9/tJTQ1Nm5WVlcW+ffvYsmULFRUVZGdnExMTE35FtvuShRDExsayb98+ANavXx/urIyMEjAMg65du7Jp0yZWrVrFtm3b+Pbbb4mPD024+/HHH1NlTSMmLer/Crur4t8ZWRiZxta+PNIyt/891raOJ5IN7eu/FdPIbco3gP9dotaitqioqOD222/n448/pl27dmRmZlJSUoLH4+Hiiy/m7rvvZtiwYbRu3RpN0/B6vfTr149bbrmF8ePHk5aWhmmaXHPNNUydOpWvvvqK+Ph4zjzzTB588EGWLVtGp06dABg0aBB33nkn48ePD1uxv//97/niiy/o1q0bzZs3p6SkhF69eh11oyuKgs/n4+abb2batGmkp6cDoU4nu98TQm8L5eXl/N///R8LFixg0KBBnHrqqeFIlzVr1vC73/2Ob7/9lnPOOSfc6Sj592lIHK18Hhb2aB17J7KFPYLHejs6dOgQ7dq1C+cRcTqd4W243e56+9Q0jYMHD5KQkEBKSkr44W11PFv7skf8WBY7HN1HYT0U7JFE9u8Nbdu6fhpax3L5yHEBUYyIMkzTFEIIUVVVJbZu3SoCgYAQQgi/3y+WLFkicnNzRUFBgcjLyxNCCPH555+Lb775RtTW1ooLL7xQjBw5UgghhK7rYuPGjeKbb74RxcXFQgghgsGg+O6778TixYuF3+8PL1u5cqX47rvvwvsqLCwUe/bsCdcpGAyK5cuXiw0bNoiioiKRl5cngsGg2Lp1q/B6vUIIIXbt2hXez/bt28WSJUtEYWGh2LVrlzAMQ+zYsUOUl5cLIYTIy8sTBw8eFEII8fHHH4sFCxaI6upqMXDgQHHjjTcKIYTIyckJ19FqE8mxsdrINE0xe/bs8Hdd14UQQkybNk1cc801QgghDMOoV97evvbvhmEIIYTIzc0VL7zwQrjM/v37xZ133imEEMLr9YoJEyaIYcOGieHDh4tXXnml3n5zc3PFrFmzxEsvvSQWLFhQ7zf7vqxlL774oti4ceNx62ma5s86BmuZ1+sVEydOrHc9RW5PEt1ETRx1QwhbGB1QzydopawcNmwY2dnZpKam4vf7WbhwIb169ULX9XohcdZhNmSlRC6zxy7b9yfEsf2H9rr+1Guutdzv9zN06FC2b99OfHw8mqbx7bffcuqpp8oBFf8m9vNlxVFbbW+aJrfddhsHDx7k9ddfJyMjg2nTplFRUUGrVq249dZbefbZZ9m3bx99+vThyiuvZMqUKWRkZNC8eXO6du3KCy+8QKdOnejUqRMXXHABTz75JK+++irBYBCn08nTTz9Nly5duOKKK3jvvffYuXMno0ePJjU1lY0bN5KXl0fHjh0pKipix44dOBwOJk+ezO7du/nwww+Ji4vjgQceYPLkyZSVleFyubjnnns4fPhwOBqpR48eLF++nNGjR3P22Wczc+ZM1q5dy3nnnceQIUN47bXXKC8vp0mTJtx///1s3LiR999/n+bNm7N161amT5/OrFmzyM7O5rzzzmPo0KE8//zzpKenc/vtt9drR0l0EXVKYImhsIVOWb4/KxIEjvh8Fy1axKJFi/jb3/7Gjh07wm4Ja5CJruv1tmEYRvh171jLIgfGWGWs5VYdrFdUe30tsbZ+s68TWTYmJoYVK1YwZ84c3nvvPbZs2RIWafvDJYqfpVGNdZ6WLl1Kp06d+POf/8xXX31FIBBg7ty5/OlPf2L16tWsXr2ahx56iMLCQpKTk3n22WcZNmwYZ5xxBp988gmmaeLxeLjttttYtGgRGzZsCPclWCiKQmpqKl988QXz58+ne/fuTJgwgdWrV7N3796w+2TmzJlcfvnl6LrO9OnTeeaZZ0hKSiIvL49HH30URVFo27Yt55xzDm+99RYbNmwAoG/fvrzxxhv88Y9/ZMaMGcyePZt//OMf9OvXj+eee4758+ezbNkybrzxRvbv38/XX3/N3/72N6699lrat2+Pz+djwYIFvP/++/XWWbFiBaeffjogr7NoJqp91PZedjjiZ4u0tAcOHAgQFkjL+rVbpJEW9fGWRe43skzkskgrpKGykdu0D6Y588wzj6p/ZB3lTdQwx7MArfadP38+GzZsYNeuXRw4cICLL76Yfv360apVK7p06YIQgpycHAYOHMi1117LwoULueiiiwBo27YtNTU19OrVi5YtW9KxY0cqKyuP6jOwHvR79uwhNTWVJk2acOmll+J2u8MGQTAYpHPnzpx22mkcPnyYzZs3U15eTlpaGvHx8bRo0YK1a9dy1lln0b59e3JycjBNk7POOotOnTrRv39/evfuTdOmTcnNzSU+Pp7k5GRGjBhBXFwcXbp0oWPHjvTu3ZutW7fSpEkTBgwYQOvWrVm+fDk7duwgLi4uvE5sbCy9e/emX79+9d4EJdFH1FnU9p7phiaHbSim1TSNep0i9t+i8d9R9Tf+t+ofTf+OFWkh6obxl5WVcejQIV5++WUmT55Mjx49WLBgQdgiFkJQVlbGxIkT2b9/P3PnzuXMM8/kD3/4Aw8//DB5eXnExMSEjQJryH8kmqbh8Xi4/vrr0XWdjRs34nQ6adWqFX6/P7yOtR2Px0OLFi24/PLL2bx5M3v27KFDhw7hTkn726P12eoILC8v58orryQtLY3169fj9/tp3759OO6+traW7t27k5mZya233soTTzzBgQMHuPrqq0lNTa23jsfjOardJNFHVPuoJZKfS6SPesSIEaiqisfjoaKigszMTCAURVRbW4vb7SYtLY3y8nKECE2IW1paSlJSEt27dyc3Nxe32016ejoOhwOv10tGRgYlJSW4XC78fn+9IealpaW4XC4SExPJz89n9+7d9OnTB4fDQU1NDaqqhrfTtGlTqqurMQyDlJQU1q1bh8vlonv37hQXF5OYmIjT6aS8vBxN08Kx+eXl5TRt2pT8/HxatGhBWVkZmzdvplu3biQnJ1NcXEzz5s0pLy/H4XCQmJjI+vXradKkCQkJCaSnpx+1TklJCc2aNZMRH1FO1Am1NSvH1FffZfachSQnJcoh1JIGURQFn89P27Ytef3VKUDIYp07d269zkR7v4JlhR+rM9gqa3c/WcuPJ2LH6vhuaP3/Zl8/dz/Wtu1hd3ZX3/E6xiXRR9T6qAsKiti6dSdNmqRIoZY0iKIoeL3e45axOmUtl5I9KZMleHZhswt55Hasctb3yOggINwZbe9rsO8jMoIoUjQjy1rL7fu0ygBH7cf+u/XZ3l7HWkda1NFN1Aq1y+UkNi6W2Fi3FGpJg1ii4nbHHLec3WKN7Oi1jzBsaNuR34/193j7sG8rcr2f+/lY+7J3ajb0+7H86cerjyT6iFqhFgKEWT9LmUQSyc+5PqwydlE6nuvDXuZYnyPdGA1ZrsdDuhwk/w5RF/UhkZwIGhro1JDANzRc2/p7PGs4Msue3b1iX/9Y25FIjkfUWtQSyS+BZblWV1fjcDiIjY0ND15qKMeH3U9sF9uGcmVY6zqdToqLizFNE7/fT7NmzXA6ndTW1hITExOug5Vu1Z7Lw+63Burl34jMN2IfYGXVSfqWfxtIi1rSaLFEdfz48dx4443cdNNNzJ07N5yb2rKArZl6rMExBQUF9XJYa5rG7t27mTJlSliwFUXB4XCEBXbBggXMnj2bt956C4/HwwcffMA333zD3r17mT17Np999hmapjFlyhTy8/PD6Q00TQtvx57W1r5/ayJlq67WcqseUqQbP9KiljR6qqqqeO6558jIyODuu+/G6XSyePFibrjhBn788UcWL17MFVdcQffu3bnnnns4//zz+etf/8p7773H5s2bufHGG0lPT6eiooJdu3axaNEiLrvsMl5++WWEEEyaNImYmBg8Hg+JiYksW7aMyZMn8+c//5lVq1YxZswY1q5dy3fffUd1dTUvvvgiDoeDRx55hBUrVpCTk0OfPn1wuVxcdNFFzJw5kw4dOrB06VIKCwvJysrizjvvJDs7mxkzZtCqVStSU1O56aabpEX9G0Fa1JJGTzAY5O9//zvPPPMMvXv3Zu3atbhcLrZs2UJOTg6TJ0/miy++IC8vjxEjRnD99dfz97//nYqKCh544AHefvttdu3axeHDh3nllVc4++yzefLJJzn77LM566yz+Mtf/hIOc7NG/J199tkMHz6cZcuWoaoqRUVFbN++ndraWvr370+nTp145513yM7ODg+UWbVqFQBr1qxh7969LFq0iNtuu40NGzYwb9483nnnHW6++WaaNm0anshC8ttACrWk0aMoCi6Xi7POOotx48YhhGD06NGUlpYyYMAAsrKy6Nq1K0VFRaSmppKVlUV+fj5nnXUW7dq1o127dhQUFISz3p166qnU1tZywQUXcP755xMIBKioqAj7kRMTE0lJSSErKytch9raWvx+P2lpaQwdOpRBgwbh9/uJjY1l5MiRJCYmEgwGAQgEApimSc+ePWnTpg19+vQhNzeX9PR0evbsydChQ0lLS/u1mlPyKyBdH5JGj9Pp5Morr6RLly5AKNqjoqKCq6++mjvuuIOcnBxKSkq47777OHDgAK+99hrXXnstL730El9++SVut5t+/foxfPhw2rVrx9SpUzn//PO55ZZbEEJw6aWXomkahYWFYReEruvEx8fTrl077rzzTvbt28ell15ab6JdK1KkpqaGPn368Mwzz/DYY4+xadMmhg0bFp5goKKigsGDB7N161YeeughdF0/KkeHpHETtUPIJ07+Kx9+9CVNmiTLAS+SBgmNTPTRqWM7vvriPaD+EHKrTEFBAUlJScTExKBpGqWlpbjdbuLj4yktLWXXrl1069aNhIQEgsEgO3fupHPnzhQXF7N//3769OkDQFlZGU2bNmXXrl20b9+e7du3I4Sga9euVFVVhZMpJScnh8sahsGmTZvIyMggJSUFn89HSkpotG1NTQ2KouB2u4mLi6OwsJD8/HyysrJwu934fL5wfpGUlBTmzZtHSUkJXq+X/fv38+yzz9YTfEnjRVrUkkaLFRbXvHnzestTU1PD4W9WKlAr1M7hcNC1a1dM06Rp06Y0a9YsLIbWZytneOfOnQHC7g77wBgr0ZGqqvTt2zccApiYmBiuR0xMTL2BNhkZGeH1FEUhISEBIQS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-=======
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->>>>>>> 6e905b8a79f9b531ee3fa39a4d51a1682e57b0e9
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-=======
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-=======
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->>>>>>> adef91f1cbf953f8d3dcfe59bc9ff5eadf719ec5
->>>>>>> 6e905b8a79f9b531ee3fa39a4d51a1682e57b0e9
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-=======
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->>>>>>> 6e905b8a79f9b531ee3fa39a4d51a1682e57b0e9
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 <item oor:path="/org.openoffice.Office.UI.Sidebar/Content/PanelList/org.openoffice.Office.UI.Sidebar:Panel['TextColumnsPropertyPanel']"><prop oor:name="ContextList" oor:op="fuse"><value><it>com.sun.star.sheet.SpreadsheetDocument, Draw, hidden</it><it>com.sun.star.sheet.SpreadsheetDocument, Graphic, hidden</it><it>com.sun.star.drawing.DrawingDocument, Draw, hidden</it><it>com.sun.star.presentation.PresentationDocument, Draw, hidden</it><it>com.sun.star.drawing.DrawingDocument, Graphic, hidden</it><it>com.sun.star.presentation.PresentationDocument, Graphic, hidden</it><it>com.sun.star.drawing.DrawingDocument, TextObject, hidden</it><it>com.sun.star.presentation.PresentationDocument, TextObject, hidden</it><it>com.sun.star.text.TextDocument, Graphic, hidden</it><it>com.sun.star.text.GlobalDocument, Graphic, hidden</it><it>com.sun.star.text.WebDocument, Graphic, hidden</it><it>com.sun.star.xforms.XMLFormDocument, Graphic, hidden</it><it>com.sun.star.sdb.FormDesign, Graphic, hidden</it><it>com.sun.star.sdb.TextReportDesign, Graphic, hidden</it></value></prop></item>
@@ -186,9 +104,8 @@
 <item oor:path="/org.openoffice.Office.UI.ToolbarMode/Applications/org.openoffice.Office.UI.ToolbarMode:Application['Calc']"><prop oor:name="Active" oor:op="fuse"><value>notebookbar.ui</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.ToolbarMode/Applications/org.openoffice.Office.UI.ToolbarMode:Application['Draw']"><prop oor:name="Active" oor:op="fuse"><value>notebookbar.ui</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.ToolbarMode/Applications/org.openoffice.Office.UI.ToolbarMode:Application['Impress']"><prop oor:name="Active" oor:op="fuse"><value>notebookbar.ui</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.ToolbarMode/Applications/org.openoffice.Office.UI.ToolbarMode:Application['Writer']"><prop oor:name="Active" oor:op="fuse"><value>Default</value></prop></item>
+<item oor:path="/org.openoffice.Office.UI.ToolbarMode/Applications/org.openoffice.Office.UI.ToolbarMode:Application['Writer']"><prop oor:name="Active" oor:op="fuse"><value>notebookbar.ui</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.ToolbarMode/Applications/org.openoffice.Office.UI.ToolbarMode:Application['Writer']/Modes/org.openoffice.Office.UI.ToolbarMode:ModeEntry['Default']"><prop oor:name="UserToolbars" oor:op="fuse"><value><it>private:resource/toolbar/standardbar</it><it>private:resource/toolbar/textobjectbar</it></value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.ToolbarMode/Applications/org.openoffice.Office.UI.ToolbarMode:Application['Writer']/Modes/org.openoffice.Office.UI.ToolbarMode:ModeEntry['Tabbed']"><prop oor:name="UserToolbars" oor:op="fuse"><value></value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/addon_LibreLogo.OfficeToolBar']"><prop oor:name="ContextActive" oor:op="fuse"><value>true</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/addon_LibreLogo.OfficeToolBar']"><prop oor:name="ContextSensitive" oor:op="fuse"><value>false</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/addon_LibreLogo.OfficeToolBar']"><prop oor:name="DockPos" oor:op="fuse"><value>0,0</value></prop></item>
@@ -201,37 +118,8 @@
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/addon_LibreLogo.OfficeToolBar']"><prop oor:name="Size" oor:op="fuse"><value>0,0</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/addon_LibreLogo.OfficeToolBar']"><prop oor:name="SoftClose" oor:op="fuse"><value>false</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/addon_LibreLogo.OfficeToolBar']"><prop oor:name="Style" oor:op="fuse"><value>0</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/addon_LibreLogo.OfficeToolBar']/UIName"><value xml:lang="en-US">Logo</value></item>
+<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/addon_LibreLogo.OfficeToolBar']/UIName"><value xml:lang="en-GB">Logo</value></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/addon_LibreLogo.OfficeToolBar']"><prop oor:name="Visible" oor:op="fuse"><value>false</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/drawingobjectbar']"><prop oor:name="ContextActive" oor:op="fuse"><value>true</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/drawingobjectbar']"><prop oor:name="ContextSensitive" oor:op="fuse"><value>true</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/drawingobjectbar']"><prop oor:name="DockPos" oor:op="fuse"><value>0,1</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/drawingobjectbar']"><prop oor:name="Docked" oor:op="fuse"><value>true</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/drawingobjectbar']"><prop oor:name="DockingArea" oor:op="fuse"><value>0</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/drawingobjectbar']"><prop oor:name="HideFromToolbarMenu" oor:op="fuse"><value>false</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/drawingobjectbar']"><prop oor:name="Locked" oor:op="fuse"><value>true</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/drawingobjectbar']"><prop oor:name="NoClose" oor:op="fuse"><value>false</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/drawingobjectbar']"><prop oor:name="Pos" oor:op="fuse"><value>2147483647,2147483647</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/drawingobjectbar']"><prop oor:name="Size" oor:op="fuse"><value>0,0</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/drawingobjectbar']"><prop oor:name="SoftClose" oor:op="fuse"><value>false</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/drawingobjectbar']"><prop oor:name="Style" oor:op="fuse"><value>0</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/drawingobjectbar']/UIName"><value xml:lang="en-GB">Drawing Object Properties</value></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/drawingobjectbar']/UIName"><value xml:lang="en-US">Drawing Object Properties</value></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/drawingobjectbar']"><prop oor:name="Visible" oor:op="fuse"><value>true</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/numobjectbar']"><prop oor:name="ContextActive" oor:op="fuse"><value>true</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/numobjectbar']"><prop oor:name="ContextSensitive" oor:op="fuse"><value>true</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/numobjectbar']"><prop oor:name="DockPos" oor:op="fuse"><value>0,4</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/numobjectbar']"><prop oor:name="Docked" oor:op="fuse"><value>true</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/numobjectbar']"><prop oor:name="DockingArea" oor:op="fuse"><value>1</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/numobjectbar']"><prop oor:name="HideFromToolbarMenu" oor:op="fuse"><value>false</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/numobjectbar']"><prop oor:name="Locked" oor:op="fuse"><value>true</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/numobjectbar']"><prop oor:name="NoClose" oor:op="fuse"><value>false</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/numobjectbar']"><prop oor:name="Pos" oor:op="fuse"><value>2147483647,2147483647</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/numobjectbar']"><prop oor:name="Size" oor:op="fuse"><value>0,0</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/numobjectbar']"><prop oor:name="SoftClose" oor:op="fuse"><value>false</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/numobjectbar']"><prop oor:name="Style" oor:op="fuse"><value>0</value></prop></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/numobjectbar']/UIName"><value xml:lang="en-US">Bullets and Numbering</value></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/numobjectbar']"><prop oor:name="Visible" oor:op="fuse"><value>true</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/standardbar']"><prop oor:name="ContextActive" oor:op="fuse"><value>true</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/standardbar']"><prop oor:name="ContextSensitive" oor:op="fuse"><value>true</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/standardbar']"><prop oor:name="DockPos" oor:op="fuse"><value>0,0</value></prop></item>
@@ -245,8 +133,7 @@
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/standardbar']"><prop oor:name="SoftClose" oor:op="fuse"><value>false</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/standardbar']"><prop oor:name="Style" oor:op="fuse"><value>0</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/standardbar']/UIName"><value xml:lang="en-GB">Standard</value></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/standardbar']/UIName"><value xml:lang="en-US">Standard</value></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/standardbar']"><prop oor:name="Visible" oor:op="fuse"><value>true</value></prop></item>
+<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/standardbar']"><prop oor:name="Visible" oor:op="fuse"><value>false</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/tableobjectbar']"><prop oor:name="ContextActive" oor:op="fuse"><value>true</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/tableobjectbar']"><prop oor:name="ContextSensitive" oor:op="fuse"><value>true</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/tableobjectbar']"><prop oor:name="DockPos" oor:op="fuse"><value>0,3</value></prop></item>
@@ -260,7 +147,6 @@
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/tableobjectbar']"><prop oor:name="SoftClose" oor:op="fuse"><value>false</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/tableobjectbar']"><prop oor:name="Style" oor:op="fuse"><value>0</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/tableobjectbar']/UIName"><value xml:lang="en-GB">Table</value></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/tableobjectbar']/UIName"><value xml:lang="en-US">Table</value></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/tableobjectbar']"><prop oor:name="Visible" oor:op="fuse"><value>true</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/textobjectbar']"><prop oor:name="ContextActive" oor:op="fuse"><value>true</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/textobjectbar']"><prop oor:name="ContextSensitive" oor:op="fuse"><value>true</value></prop></item>
@@ -275,64 +161,19 @@
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/textobjectbar']"><prop oor:name="SoftClose" oor:op="fuse"><value>false</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/textobjectbar']"><prop oor:name="Style" oor:op="fuse"><value>0</value></prop></item>
 <item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/textobjectbar']/UIName"><value xml:lang="en-GB">Formatting</value></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/textobjectbar']/UIName"><value xml:lang="en-US">Formatting</value></item>
-<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/textobjectbar']"><prop oor:name="Visible" oor:op="fuse"><value>true</value></prop></item>
-<item oor:path="/org.openoffice.Office.Views/Dialogs"><node oor:name="FilePicker_Graph" oor:op="replace"><node oor:name="UserData"><prop oor:name="UserItem" oor:op="fuse" oor:type="xs:string"><value> 0 file:///home/someone/Nextcloud/Office/DieLinke/solid/logo &lt;All%20images&gt;</value></prop></node><prop oor:name="WindowState" oor:op="fuse"><value xsi:nil="true"/></prop></node></item>
-<<<<<<< HEAD
-<item oor:path="/org.openoffice.Office.Views/Dialogs"><node oor:name="FilePicker_Save" oor:op="replace"><node oor:name="UserData"><prop oor:name="UserItem" oor:op="fuse" oor:type="xs:string"><value>1 file:///home/someone/Nextcloud/Office/Schule/p5</value></prop><prop oor:name="SwExportLastFilter" oor:op="fuse" oor:type="xs:string"><value>PDF - Portable Document Format (.pdf)</value></prop></node><prop oor:name="WindowState" oor:op="fuse"><value xsi:nil="true"/></prop></node></item>
-<item oor:path="/org.openoffice.Office.Views/Dialogs"><node oor:name="TemplateManager" oor:op="replace"><node oor:name="UserData"><prop oor:name="ViewMode" oor:op="fuse" oor:type="xs:short"><value>1</value></prop><prop oor:name="LastFolder" oor:op="fuse" oor:type="xs:string"><value></value></prop><prop oor:name="LastApplication" oor:op="fuse" oor:type="xs:short"><value>3</value></prop></node><prop oor:name="WindowState" oor:op="fuse"><value xsi:nil="true"/></prop></node></item>
-=======
+<item oor:path="/org.openoffice.Office.UI.WriterWindowState/UIElements/States/org.openoffice.Office.UI.WindowState:WindowStateType['private:resource/toolbar/textobjectbar']"><prop oor:name="Visible" oor:op="fuse"><value>false</value></prop></item>
 <item oor:path="/org.openoffice.Office.Views/Dialogs"><node oor:name="FilePicker_Save" oor:op="replace"><node oor:name="UserData"><prop oor:name="UserItem" oor:op="fuse" oor:type="xs:string"><value>1 </value></prop><prop oor:name="SwExportLastFilter" oor:op="fuse" oor:type="xs:string"><value>PDF - Portable Document Format (.pdf)</value></prop></node><prop oor:name="WindowState" oor:op="fuse"><value xsi:nil="true"/></prop></node></item>
-<<<<<<< HEAD
-<item oor:path="/org.openoffice.Office.Views/Dialogs"><node oor:name="TemplateManager" oor:op="replace"><node oor:name="UserData"><prop oor:name="ViewMode" oor:op="fuse" oor:type="xs:short"><value>1</value></prop><prop oor:name="LastFolder" oor:op="fuse" oor:type="xs:string"><value></value></prop><prop oor:name="LastApplication" oor:op="fuse" oor:type="xs:short"><value>3</value></prop></node><prop oor:name="WindowState" oor:op="fuse"><value xsi:nil="true"/></prop></node></item>
-=======
-<item oor:path="/org.openoffice.Office.Views/Dialogs"><node oor:name="TemplateManager" oor:op="replace"><node oor:name="UserData"><prop oor:name="ViewMode" oor:op="fuse" oor:type="xs:short"><value>1</value></prop><prop oor:name="LastFolder" oor:op="fuse" oor:type="xs:string"><value></value></prop><prop oor:name="LastApplication" oor:op="fuse" oor:type="xs:short"><value>1</value></prop></node><prop oor:name="WindowState" oor:op="fuse"><value xsi:nil="true"/></prop></node></item>
->>>>>>> adef91f1cbf953f8d3dcfe59bc9ff5eadf719ec5
->>>>>>> 6e905b8a79f9b531ee3fa39a4d51a1682e57b0e9
-<item oor:path="/org.openoffice.Office.Views/Dialogs"><node oor:name="ToolboxButtonColor" oor:op="replace"><node oor:name="UserData"><prop oor:name="10165" oor:op="fuse" oor:type="xs:string"><value>Black;0</value></prop><prop oor:name="10172" oor:op="fuse" oor:type="xs:string"><value>Black;0</value></prop></node><prop oor:name="WindowState" oor:op="fuse"><value xsi:nil="true"/></prop></node></item>
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->>>>>>> adef91f1cbf953f8d3dcfe59bc9ff5eadf719ec5
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->>>>>>> adef91f1cbf953f8d3dcfe59bc9ff5eadf719ec5
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-<item oor:path="/org.openoffice.ucb.Store/ContentProperties"><node oor:name="vnd.sun.star.hier://com.sun.star.ucb.DefaultHierarchyDataSource/templates/en-GB/Styles/Default" oor:op="replace"><node oor:name="Values"><node oor:name="TypeDescription" oor:op="replace"><prop oor:name="State" oor:op="fuse"><value>1</value></prop><prop oor:name="Value" oor:op="fuse" oor:type="xs:string"><value>application/vnd.oasis.opendocument.text-template</value></prop><prop oor:name="Handle" oor:op="fuse"><value>-1</value></prop><prop oor:name="Attributes" oor:op="fuse"><value>129</value></prop></node></node></node></item>
-<item oor:path="/org.openoffice.ucb.Store/ContentProperties"><node oor:name="vnd.sun.star.hier://com.sun.star.ucb.DefaultHierarchyDataSource/templates/en-GB/Styles/Modern" oor:op="replace"><node oor:name="Values"><node oor:name="TypeDescription" oor:op="replace"><prop oor:name="State" oor:op="fuse"><value>1</value></prop><prop oor:name="Value" oor:op="fuse" oor:type="xs:string"><value>application/vnd.oasis.opendocument.text-template</value></prop><prop oor:name="Handle" oor:op="fuse"><value>-1</value></prop><prop oor:name="Attributes" oor:op="fuse"><value>129</value></prop></node></node></node></item>
-<item oor:path="/org.openoffice.ucb.Store/ContentProperties"><node oor:name="vnd.sun.star.hier://com.sun.star.ucb.DefaultHierarchyDataSource/templates/en-GB/Styles/Simple" oor:op="replace"><node oor:name="Values"><node oor:name="TypeDescription" oor:op="replace"><prop oor:name="State" oor:op="fuse"><value>1</value></prop><prop oor:name="Value" oor:op="fuse" oor:type="xs:string"><value>application/vnd.oasis.opendocument.text-template</value></prop><prop oor:name="Handle" oor:op="fuse"><value>-1</value></prop><prop oor:name="Attributes" oor:op="fuse"><value>129</value></prop></node></node></node></item>
->>>>>>> adef91f1cbf953f8d3dcfe59bc9ff5eadf719ec5
+<item oor:path="/org.openoffice.VCL/Settings/org.openoffice.VCL:ConfigurableSettings['Accessibility']"><prop oor:name="EnableATToolSupport" oor:op="fuse" oor:type="xs:string"><value>false</value></prop></item>
+<item oor:path="/org.openoffice.VCL/Settings/org.openoffice.VCL:ConfigurableSettings['DesktopManagement']"><prop oor:name="DisablePrinting" oor:op="fuse" oor:type="xs:string"><value>false</value></prop></item>
+<item oor:path="/org.openoffice.VCL/Settings/org.openoffice.VCL:ConfigurableSettings['Menu']"><prop oor:name="SuppressAccelerators" oor:op="fuse" oor:type="xs:string"><value>false</value></prop></item>
+<item oor:path="/org.openoffice.VCL/Settings/org.openoffice.VCL:ConfigurableSettings['PrintDialog']"><prop oor:name="Collate" oor:op="fuse" oor:type="xs:string"><value>true</value></prop></item>
+<item oor:path="/org.openoffice.VCL/Settings/org.openoffice.VCL:ConfigurableSettings['PrintDialog']"><prop oor:name="CollateBox" oor:op="fuse" oor:type="xs:string"><value>Default</value></prop></item>
+<item oor:path="/org.openoffice.VCL/Settings/org.openoffice.VCL:ConfigurableSettings['PrintDialog']"><prop oor:name="CollateSingleJobs" oor:op="fuse" oor:type="xs:string"><value>false</value></prop></item>
+<item oor:path="/org.openoffice.VCL/Settings/org.openoffice.VCL:ConfigurableSettings['PrintDialog']"><prop oor:name="CopyCount" oor:op="fuse" oor:type="xs:string"><value>1</value></prop></item>
+<item oor:path="/org.openoffice.VCL/Settings/org.openoffice.VCL:ConfigurableSettings['PrintDialog']"><prop oor:name="HasPreview" oor:op="fuse" oor:type="xs:string"><value>true</value></prop></item>
+<item oor:path="/org.openoffice.VCL/Settings/org.openoffice.VCL:ConfigurableSettings['PrintDialog']"><prop oor:name="LastPage" oor:op="fuse" oor:type="xs:string"><value>General</value></prop></item>
+<item oor:path="/org.openoffice.VCL/Settings/org.openoffice.VCL:ConfigurableSettings['PrintDialog']"><prop oor:name="LastPrinter" oor:op="fuse" oor:type="xs:string"><value>Canon_MG3600_series</value></prop></item>
+<item oor:path="/org.openoffice.VCL/Settings/org.openoffice.VCL:ConfigurableSettings['PrintDialog']"><prop oor:name="LastPrinterUsed" oor:op="fuse" oor:type="xs:string"><value>Canon_MG3600_series</value></prop></item>
+<item oor:path="/org.openoffice.VCL/Settings/org.openoffice.VCL:ConfigurableSettings['PrintDialog']"><prop oor:name="WindowState" oor:op="fuse" oor:type="xs:string"><value>,,872,570;5;,,,;</value></prop></item>
+<item oor:path="/org.openoffice.VCL/Settings/org.openoffice.VCL:ConfigurableSettings['Transfer']"><prop oor:name="SelectionTimeout" oor:op="fuse" oor:type="xs:string"><value>3</value></prop></item>
+<item oor:path="/org.openoffice.VCL/Settings/org.openoffice.VCL:ConfigurableSettings['WM']"><prop oor:name="ShouldSwitchWorkspace" oor:op="fuse" oor:type="xs:string"><value>false</value></prop></item>
 </oor:items>
diff --git a/eggs/logseq/config-logseq/Cache/Cache_Data/45982b03ccf5f777_0 b/eggs/logseq/config-logseq/Cache/Cache_Data/45982b03ccf5f777_0
index b047e96..22128b9 100644
Binary files a/eggs/logseq/config-logseq/Cache/Cache_Data/45982b03ccf5f777_0 and b/eggs/logseq/config-logseq/Cache/Cache_Data/45982b03ccf5f777_0 differ
diff --git a/eggs/logseq/config-logseq/Cache/Cache_Data/6da029fe2a3a5cf4_0 b/eggs/logseq/config-logseq/Cache/Cache_Data/6da029fe2a3a5cf4_0
index 272c551..e68e97f 100644
Binary files a/eggs/logseq/config-logseq/Cache/Cache_Data/6da029fe2a3a5cf4_0 and b/eggs/logseq/config-logseq/Cache/Cache_Data/6da029fe2a3a5cf4_0 differ
diff --git a/eggs/logseq/config-logseq/Cache/Cache_Data/7cdbf70b4da46c4b_0 b/eggs/logseq/config-logseq/Cache/Cache_Data/7cdbf70b4da46c4b_0
index bbe89c3..d4b9931 100644
Binary files a/eggs/logseq/config-logseq/Cache/Cache_Data/7cdbf70b4da46c4b_0 and b/eggs/logseq/config-logseq/Cache/Cache_Data/7cdbf70b4da46c4b_0 differ
diff --git a/eggs/logseq/config-logseq/Cache/Cache_Data/index-dir/the-real-index b/eggs/logseq/config-logseq/Cache/Cache_Data/index-dir/the-real-index
index 92caf96..d608da0 100644
Binary files a/eggs/logseq/config-logseq/Cache/Cache_Data/index-dir/the-real-index and b/eggs/logseq/config-logseq/Cache/Cache_Data/index-dir/the-real-index differ
diff --git a/eggs/logseq/config-logseq/DIPS b/eggs/logseq/config-logseq/DIPS
index d178eb9..63e3ccb 100644
Binary files a/eggs/logseq/config-logseq/DIPS and b/eggs/logseq/config-logseq/DIPS differ
diff --git a/eggs/logseq/config-logseq/DIPS-shm b/eggs/logseq/config-logseq/DIPS-shm
new file mode 100644
index 0000000..c502801
Binary files /dev/null and b/eggs/logseq/config-logseq/DIPS-shm differ
diff --git a/eggs/logseq/config-logseq/DIPS-wal b/eggs/logseq/config-logseq/DIPS-wal
new file mode 100644
index 0000000..ae96184
Binary files /dev/null and b/eggs/logseq/config-logseq/DIPS-wal differ
diff --git a/eggs/logseq/config-logseq/DawnGraphiteCache/data_1 b/eggs/logseq/config-logseq/DawnGraphiteCache/data_1
index 94dd062..4e30879 100644
Binary files a/eggs/logseq/config-logseq/DawnGraphiteCache/data_1 and b/eggs/logseq/config-logseq/DawnGraphiteCache/data_1 differ
diff --git a/eggs/logseq/config-logseq/DawnGraphiteCache/index b/eggs/logseq/config-logseq/DawnGraphiteCache/index
index 753e521..e78d7a4 100644
Binary files a/eggs/logseq/config-logseq/DawnGraphiteCache/index and b/eggs/logseq/config-logseq/DawnGraphiteCache/index differ
diff --git a/eggs/logseq/config-logseq/DawnWebGPUCache/data_1 b/eggs/logseq/config-logseq/DawnWebGPUCache/data_1
index bb11cb5..13479ef 100644
Binary files a/eggs/logseq/config-logseq/DawnWebGPUCache/data_1 and b/eggs/logseq/config-logseq/DawnWebGPUCache/data_1 differ
diff --git a/eggs/logseq/config-logseq/DawnWebGPUCache/index b/eggs/logseq/config-logseq/DawnWebGPUCache/index
index 3d5a885..250e563 100644
Binary files a/eggs/logseq/config-logseq/DawnWebGPUCache/index and b/eggs/logseq/config-logseq/DawnWebGPUCache/index differ
diff --git a/eggs/logseq/config-logseq/GPUCache/data_0 b/eggs/logseq/config-logseq/GPUCache/data_0
index c9af971..bbcc4e4 100644
Binary files a/eggs/logseq/config-logseq/GPUCache/data_0 and b/eggs/logseq/config-logseq/GPUCache/data_0 differ
diff --git a/eggs/logseq/config-logseq/GPUCache/data_1 b/eggs/logseq/config-logseq/GPUCache/data_1
index 497890f..b731337 100644
Binary files a/eggs/logseq/config-logseq/GPUCache/data_1 and b/eggs/logseq/config-logseq/GPUCache/data_1 differ
diff --git a/eggs/logseq/config-logseq/GPUCache/data_2 b/eggs/logseq/config-logseq/GPUCache/data_2
index b093755..48ba1a6 100644
Binary files a/eggs/logseq/config-logseq/GPUCache/data_2 and b/eggs/logseq/config-logseq/GPUCache/data_2 differ
diff --git a/eggs/logseq/config-logseq/GPUCache/index b/eggs/logseq/config-logseq/GPUCache/index
index 0adf419..59ed8ce 100644
Binary files a/eggs/logseq/config-logseq/GPUCache/index and b/eggs/logseq/config-logseq/GPUCache/index differ
diff --git a/eggs/logseq/config-logseq/IndexedDB/file__0.indexeddb.leveldb/LOG b/eggs/logseq/config-logseq/IndexedDB/file__0.indexeddb.leveldb/LOG
index cb55213..c43a281 100644
--- a/eggs/logseq/config-logseq/IndexedDB/file__0.indexeddb.leveldb/LOG
+++ b/eggs/logseq/config-logseq/IndexedDB/file__0.indexeddb.leveldb/LOG
@@ -1,3 +1,3 @@
-2025/07/21-17:26:17.701 b1e2 Reusing MANIFEST /home/someone/.config/Logseq/IndexedDB/file__0.indexeddb.leveldb/MANIFEST-000001
-2025/07/21-17:26:17.701 b1e2 Recovering log #3
-2025/07/21-17:26:17.702 b1e2 Reusing old log /home/someone/.config/Logseq/IndexedDB/file__0.indexeddb.leveldb/000003.log 
+2025/08/13-12:48:21.407 2180c Reusing MANIFEST /home/someone/.config/Logseq/IndexedDB/file__0.indexeddb.leveldb/MANIFEST-000001
+2025/08/13-12:48:21.407 2180c Recovering log #3
+2025/08/13-12:48:21.408 2180c Reusing old log /home/someone/.config/Logseq/IndexedDB/file__0.indexeddb.leveldb/000003.log 
diff --git a/eggs/logseq/config-logseq/IndexedDB/file__0.indexeddb.leveldb/LOG.old b/eggs/logseq/config-logseq/IndexedDB/file__0.indexeddb.leveldb/LOG.old
index f5be645..1db8d4b 100644
--- a/eggs/logseq/config-logseq/IndexedDB/file__0.indexeddb.leveldb/LOG.old
+++ b/eggs/logseq/config-logseq/IndexedDB/file__0.indexeddb.leveldb/LOG.old
@@ -1,3 +1,3 @@
-2025/07/21-13:19:08.304 147d Reusing MANIFEST /home/someone/.config/Logseq/IndexedDB/file__0.indexeddb.leveldb/MANIFEST-000001
-2025/07/21-13:19:08.304 147d Recovering log #3
-2025/07/21-13:19:08.306 147d Reusing old log /home/someone/.config/Logseq/IndexedDB/file__0.indexeddb.leveldb/000003.log 
+2025/08/12-14:38:37.398 1106b Reusing MANIFEST /home/someone/.config/Logseq/IndexedDB/file__0.indexeddb.leveldb/MANIFEST-000001
+2025/08/12-14:38:37.399 1106b Recovering log #3
+2025/08/12-14:38:37.400 1106b Reusing old log /home/someone/.config/Logseq/IndexedDB/file__0.indexeddb.leveldb/000003.log 
diff --git a/eggs/logseq/config-logseq/Local Storage/leveldb/LOG b/eggs/logseq/config-logseq/Local Storage/leveldb/LOG
index c019e92..6746626 100644
--- a/eggs/logseq/config-logseq/Local Storage/leveldb/LOG	
+++ b/eggs/logseq/config-logseq/Local Storage/leveldb/LOG	
@@ -1,3 +1,3 @@
-2025/07/21-17:26:17.485 b1e1 Reusing MANIFEST /home/someone/.config/Logseq/Local Storage/leveldb/MANIFEST-000001
-2025/07/21-17:26:17.496 b1e1 Recovering log #15
-2025/07/21-17:26:17.497 b1e1 Reusing old log /home/someone/.config/Logseq/Local Storage/leveldb/000015.log 
+2025/08/13-12:48:21.198 2180c Reusing MANIFEST /home/someone/.config/Logseq/Local Storage/leveldb/MANIFEST-000001
+2025/08/13-12:48:21.210 2180c Recovering log #15
+2025/08/13-12:48:21.211 2180c Reusing old log /home/someone/.config/Logseq/Local Storage/leveldb/000015.log 
diff --git a/eggs/logseq/config-logseq/Local Storage/leveldb/LOG.old b/eggs/logseq/config-logseq/Local Storage/leveldb/LOG.old
index 563db82..03f91f8 100644
--- a/eggs/logseq/config-logseq/Local Storage/leveldb/LOG.old	
+++ b/eggs/logseq/config-logseq/Local Storage/leveldb/LOG.old	
@@ -1,3 +1,3 @@
-2025/07/21-13:19:08.067 147d Reusing MANIFEST /home/someone/.config/Logseq/Local Storage/leveldb/MANIFEST-000001
-2025/07/21-13:19:08.075 147d Recovering log #15
-2025/07/21-13:19:08.076 147d Reusing old log /home/someone/.config/Logseq/Local Storage/leveldb/000015.log 
+2025/08/12-14:38:37.217 1106a Reusing MANIFEST /home/someone/.config/Logseq/Local Storage/leveldb/MANIFEST-000001
+2025/08/12-14:38:37.227 1106a Recovering log #15
+2025/08/12-14:38:37.227 1106a Reusing old log /home/someone/.config/Logseq/Local Storage/leveldb/000015.log 
diff --git a/eggs/logseq/config-logseq/Network Persistent State b/eggs/logseq/config-logseq/Network Persistent State
index 389f0c5..401a45b 100644
--- a/eggs/logseq/config-logseq/Network Persistent State	
+++ b/eggs/logseq/config-logseq/Network Persistent State	
@@ -1 +1 @@
-{"net":{"http_server_properties":{"servers":[{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13398101396212080","port":443,"protocol_str":"quic"}],"anonymization":[],"server":"https://img.youtube.com","supports_spdy":true},{"anonymization":[],"server":"https://assets.lemonsqueezy.com","supports_spdy":true},{"anonymization":[],"server":"https://discord.com","supports_spdy":true},{"anonymization":[],"server":"https://logseq.com","supports_spdy":true},{"anonymization":[],"network_stats":{"srtt":42044},"server":"https://r1---sn-4g5lznes.gvt1.com"},{"anonymization":[],"network_stats":{"srtt":35216},"server":"https://r5---sn-4g5ednsr.gvt1.com"},{"anonymization":[],"network_stats":{"srtt":36024},"server":"https://r1---sn-4g5e6nz7.gvt1.com"},{"anonymization":[],"server":"https://d25lcipzij17d.cloudfront.net","supports_spdy":true},{"anonymization":[],"server":"https://discuss.logseq.com","supports_spdy":true},{"anonymization":[],"server":"https://docs.logseq.com","supports_spdy":true},{"anonymization":[],"server":"https://api.star-history.com","supports_spdy":true},{"anonymization":[],"server":"https://pic1.afdiancdn.com","supports_spdy":true},{"anonymization":[],"server":"https://tiktoken.pages.dev","supports_spdy":true},{"anonymization":[],"network_stats":{"srtt":36258},"server":"https://api.openai.com","supports_spdy":true},{"anonymization":[],"server":"https://cdn.buymeacoffee.com","supports_spdy":true},{"anonymization":[],"network_stats":{"srtt":35942},"server":"https://r1---sn-4g5lzner.gvt1.com"},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13398965424206749","port":443,"protocol_str":"quic"}],"anonymization":[],"server":"https://codecov.io","supports_spdy":true},{"anonymization":[],"server":"https://samepage.network","supports_spdy":true},{"anonymization":[],"network_stats":{"srtt":36308},"server":"https://r5---sn-4g5edns7.gvt1.com"},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13398981042655356","port":443,"protocol_str":"quic"}],"anonymization":[],"network_stats":{"srtt":39804},"server":"https://dl.google.com","supports_spdy":true},{"anonymization":[],"server":"https://badge.fury.io","supports_spdy":true},{"anonymization":[],"network_stats":{"srtt":39544},"server":"https://redirector.gvt1.com","supports_spdy":true},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13398988007942106","port":443,"protocol_str":"quic"}],"anonymization":[],"network_stats":{"srtt":47777},"server":"https://r2---sn-4g5edndl.gvt1.com"},{"anonymization":[],"server":"https://nextcloud.urmel.duckdns.org","supports_spdy":true},{"anonymization":[],"server":"https://github.com","supports_spdy":true},{"anonymization":[],"server":"https://img.shields.io","supports_spdy":true},{"anonymization":[],"server":"https://cdnjs.cloudflare.com","supports_spdy":true},{"anonymization":[],"server":"https://img.buymeacoffee.com","supports_spdy":true},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13398100868845973","port":443,"protocol_str":"quic"}],"anonymization":[],"server":"https://fonts.gstatic.com","supports_spdy":true},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13399743874740368","port":443,"protocol_str":"quic"}],"anonymization":[],"network_stats":{"srtt":46798},"server":"https://www.google.com","supports_spdy":true},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13399743874798642","port":443,"protocol_str":"quic"}],"anonymization":[],"network_stats":{"srtt":44316},"server":"https://i.ytimg.com","supports_spdy":true},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13399743874816799","port":443,"protocol_str":"quic"}],"anonymization":[],"network_stats":{"srtt":48130},"server":"https://yt3.ggpht.com","supports_spdy":true},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13399743874885908","port":443,"protocol_str":"quic"}],"anonymization":[],"network_stats":{"srtt":57508},"server":"https://www.gstatic.com","supports_spdy":true},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13399743991588206","port":443,"protocol_str":"quic"}],"anonymization":[],"network_stats":{"srtt":40729},"server":"https://jnn-pa.googleapis.com","supports_spdy":true},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13399743992602884","port":443,"protocol_str":"quic"}],"anonymization":[],"network_stats":{"srtt":42314},"server":"https://play.google.com","supports_spdy":true},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13399743993604319","port":443,"protocol_str":"quic"}],"anonymization":[],"network_stats":{"srtt":49039},"server":"https://www.youtube.com","supports_spdy":true},{"anonymization":[],"server":"https://raw.githubusercontent.com","supports_spdy":true},{"alternative_service":[{"advertised_alpns":["h3"],"expiration":"13397656749658937","port":443,"protocol_str":"quic"}],"anonymization":[],"server":"https://cdn.jsdelivr.net","supports_spdy":true},{"anonymiz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diff --git a/eggs/logseq/config-logseq/Session Storage/LOG b/eggs/logseq/config-logseq/Session Storage/LOG
index 5714637..371d92f 100644
--- a/eggs/logseq/config-logseq/Session Storage/LOG	
+++ b/eggs/logseq/config-logseq/Session Storage/LOG	
@@ -1,3 +1,3 @@
-2025/07/21-17:35:35.177 b1e1 Reusing MANIFEST /home/someone/.config/Logseq/Session Storage/MANIFEST-000001
-2025/07/21-17:35:35.177 b1e1 Recovering log #3
-2025/07/21-17:35:35.177 b1e1 Reusing old log /home/someone/.config/Logseq/Session Storage/000003.log 
+2025/08/12-15:25:24.495 1106a Reusing MANIFEST /home/someone/.config/Logseq/Session Storage/MANIFEST-000001
+2025/08/12-15:25:24.495 1106a Recovering log #3
+2025/08/12-15:25:24.496 1106a Reusing old log /home/someone/.config/Logseq/Session Storage/000003.log 
diff --git a/eggs/logseq/config-logseq/Session Storage/LOG.old b/eggs/logseq/config-logseq/Session Storage/LOG.old
index 24206a5..5c4ce46 100644
--- a/eggs/logseq/config-logseq/Session Storage/LOG.old	
+++ b/eggs/logseq/config-logseq/Session Storage/LOG.old	
@@ -1,3 +1,3 @@
-2025/07/21-15:00:22.580 147d Reusing MANIFEST /home/someone/.config/Logseq/Session Storage/MANIFEST-000001
-2025/07/21-15:00:22.580 147d Recovering log #3
-2025/07/21-15:00:22.627 147d Reusing old log /home/someone/.config/Logseq/Session Storage/000003.log 
+2025/08/12-13:36:12.440 cb36 Reusing MANIFEST /home/someone/.config/Logseq/Session Storage/MANIFEST-000001
+2025/08/12-13:36:12.440 cb36 Recovering log #3
+2025/08/12-13:36:12.440 cb36 Reusing old log /home/someone/.config/Logseq/Session Storage/000003.log 
diff --git a/eggs/logseq/config-logseq/SharedStorage-wal b/eggs/logseq/config-logseq/SharedStorage-wal
new file mode 100644
index 0000000..e69de29
diff --git a/eggs/logseq/config-logseq/SingletonCookie b/eggs/logseq/config-logseq/SingletonCookie
new file mode 120000
index 0000000..9ab3734
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diff --git a/eggs/logseq/config-logseq/SingletonLock b/eggs/logseq/config-logseq/SingletonLock
new file mode 120000
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diff --git a/eggs/logseq/config-logseq/SingletonSocket b/eggs/logseq/config-logseq/SingletonSocket
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diff --git a/eggs/logseq/config-logseq/TransportSecurity b/eggs/logseq/config-logseq/TransportSecurity
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diff --git a/eggs/logseq/config-logseq/WebStorage/QuotaManager b/eggs/logseq/config-logseq/WebStorage/QuotaManager
index 71606c7..38185e0 100644
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diff --git a/eggs/logseq/config-logseq/search/logseq_local__home_someone_Nextcloud_.logseq b/eggs/logseq/config-logseq/search/logseq_local__home_someone_Nextcloud_.logseq
index fad2dcc..7d92fd3 100644
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diff --git a/eggs/logseq/logseq/graphs/logseq_local_++home++someone++Nextcloud++.logseq.transit b/eggs/logseq/logseq/graphs/logseq_local_++home++someone++Nextcloud++.logseq.transit
index 05a0dcf..bab04e2 100644
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[{:id #uuid \"686bea41-7050-4b33-9a7a-2aab0eb8d3d0\",\n               :page 1,\n               :position {:bounding {:x1 425,\n                                     :y1 287,\n                                     :x2 546,\n                                     :y2 307,\n                                     :width 754,\n                                     :height 1066.3714247715081},\n                          :rects (),\n                          :page 1},\n               :content {:text \"[:span]\", :image 1751902791412},\n               :properties {:color \"yellow\"}}],\n :extra {:page 1}}\n",536870919]],["^15",[27,"^17",1751932905289,536870919]],["^15",[27,"^Z","assets/OpenScan_2025-05-14_102929.269011_1751902759793_0.edn",536870919]],["^15",[28,"^3","{:version 1, :blocks ()}\n",536870919]],["^15",[28,"^17",1751932905291,536870919]],["^15",[28,"^Z","assets/local_1751844041_1751844075825_0.edn",536870919]],["^15",[29,"^3","{:meta/version 1\n\n ;; Set the preferred format.\n ;; Available options:\n ;; - Markdown (default)\n ;; - Org\n ;; :preferred-format \"Markdown\"\n\n ;; Set the preferred workflow style.\n ;; Available options:\n ;; - :now for NOW/LATER style (default)\n ;; - :todo for TODO/DOING style\n :preferred-workflow :todo\n\n ;; Exclude directories/files.\n ;; Example usage:\n ;; :hidden [\"/archived\" \"/test.md\" \"../assets/archived\"]\n :hidden []\n\n ;; Define the default journal page template.\n ;; Enter the template name between the quotes.\n :default-templates\n {:journals \"\"}\n\n ;; Set a custom date format for the journal page title.\n ;; Default value: \"MMM do, yyyy\"\n ;; e.g., \"Jan 19th, 2038\"\n ;; Example usage e.g., \"Tue 19th, Jan 2038\"\n ;; :journal/page-title-format \"EEE do, MMM yyyy\"\n\n ;; Specify the journal filename format using a valid date format string.\n ;; !Warning:\n ;;   This configuration is not retroactive and affects only new journals.\n ;;   To show old journal files in the app, manually rename the files in the\n ;;   journal directory to match the new format.\n ;; Default value: \"yyyy_MM_dd\"\n ;; :journal/file-name-format \"yyyy_MM_dd\"\n\n ;; Enable tooltip preview on hover.\n ;; Default value: true\n :ui/enable-tooltip? true\n\n ;; Display brackets [[]] around page references.\n ;; Default value: true\n ;; :ui/show-brackets? true\n\n ;; Display all lines of a block when referencing ((block)).\n ;; Default value: false\n :ui/show-full-blocks? true\n\n ;; Automatically expand block references when zooming in.\n ;; Default value: true\n :ui/auto-expand-block-refs? true\n\n ;; Enable Block timestamps.\n ;; Default value: false\n :feature/enable-block-timestamps? false\n\n ;; Disable accent marks when searching.\n ;; After changing this setting, rebuild the search index by pressing (^C ^S).\n ;; Default value: true\n :feature/enable-search-remove-accents? true\n\n ;; Enable journals.\n ;; Default value: true\n ;; :feature/enable-journals? true\n\n ;; Enable flashcards.\n ;; Default value: true\n ;; :feature/enable-flashcards? true\n\n ;; Enable whiteboards.\n ;; Default value: true\n ;; :feature/enable-whiteboards? true\n\n ;; Disable the journal's built-in 'Scheduled tasks and deadlines' query.\n ;; Default value: false\n ;; :feature/disable-scheduled-and-deadline-query? false\n\n ;; Specify the number of days displayed in the future for\n ;; the 'scheduled tasks and deadlines' query.\n ;; Example usage:\n ;; Display all scheduled and deadline blocks for the next 14 days:\n ;; :scheduled/future-days 14\n ;; Default value: 7\n ;; :scheduled/future-days 7\n\n ;; Specify the first day of the week.\n ;; Available options:\n ;;  - integer from 0 to 6 (Monday to Sunday)\n ;; Default value: 6 (Sunday)\n :start-of-week 6\n\n ;; Specify a custom CSS import.\n ;; This option takes precedence over the local `logseq/custom.css` file.\n ;; Example usage:\n ;; :custom-css-url \"@import url('https://cdn.jsdelivr.net/gh/dracula/logseq@master/custom.css');\"\n\n ;; Specify a custom JS import.\n ;; This option takes precedence over the local `logseq/custom.js` file.\n ;; Example usage:\n ;; :custom-js-url \"https://cdn.logseq.com/custom.js\"\n\n ;; Set a custom Arweave gateway\n ;; Default gateway: https://arweave.net\n ;; :arweave/gateway \"https://arweave.net\"\n\n ;; Set bullet indentation when exporting\n ;; Available options:\n ;;  - `:eight-spaces` as eight spaces\n ;;  - `:four-spaces` as four spaces\n ;;  - `:two-spaces` as two spaces\n ;;  - `:tab` as a tab character (default)\n ;; :export/bullet-indentation :tab\n\n ;; Publish all pages within the Graph\n ;; Regardless of whether individual pages have been marked as public.\n ;; Default value: false\n ;; :publishing/all-pages-public? false\n\n ;; Define the default home page and sidebar status.\n ;; If unspecified, the journal page will be loaded on startup and the right sidebar will stay hidden.\n ;; The `:page` value represents the name of the page displayed at startup.\n ;; Available options for `:sidebar` are:\n ;; - \"Contents\" to display the Contents page in the right sidebar.\n ;; - A specific page name to display in the right sidebar.\n ;; - An array of multiple pages, e.g., [\"Contents\" \"Page A\" \"Page B\"].\n ;; If `:sidebar` remains unset, the right sidebar will stay hidden.\n ;; Examples:\n ;; 1. Set \"Changelog\" as the home page and display \"Contents\" in the right sidebar:\n ;; :default-home {:page \"Changelog\", :sidebar \"Contents\"}\n ;; 2. Set \"Jun 3rd, 2021\" as the home page without the right sidebar:\n ;; :default-home {:page \"Jun 3rd, 2021\"}\n ;; 3. Set \"home\" as the home page and display multiple pages in the right sidebar:\n ;; :default-home {:page \"home\", :sidebar [\"Page A\" \"Page B\"]}\n\n ;; Set the default location for storing notes.\n ;; Default value: \"pages\"\n ;; :pages-directory \"pages\"\n\n ;; Set the default location for storing journals.\n ;; Default value: \"journals\"\n ;; :journals-directory \"journals\"\n\n ;; Set the default location for storing whiteboards.\n ;; Default value: \"whiteboards\"\n ;; :whiteboards-directory \"whiteboards\"\n\n ;; Enabling this option converts\n ;; [[Grant Ideas]] to [[file:./grant_ideas.org][Grant Ideas]] for org-mode.\n ;; For more information, visit https://github.com/logseq/logseq/issues/672\n ;; :org-mode/insert-file-link? false\n\n ;; Configure custom shortcuts.\n ;; Syntax:\n ;; 1. + indicates simultaneous key presses, e.g., `Ctrl+Shift+a`.\n ;; 2. A space between keys represents key chords, e.g., `t s` means\n ;;    pressing `t` followed by `s`.\n ;; 3. mod refers to `Ctrl` for Windows/Linux and `Command` for Mac.\n ;; 4. Use false to disable a specific shortcut.\n ;; 5. You can define multiple bindings for a single action, e.g., [\"ctrl+j\" \"down\"].\n ;; The full list of configurable shortcuts is available at:\n ;; https://github.com/logseq/logseq/blob/master/src/main/frontend/modules/shortcut/config.cljs\n ;; Example:\n ;; :shortcuts\n ;; {:editor/new-block       \"enter\"\n ;;  :editor/new-line        \"shift+enter\"\n ;;  :editor/insert-link     \"mod+shift+k\"\n ;;  :editor/highlight       false\n ;;  :ui/toggle-settings     \"t s\"\n ;;  :editor/up              [\"ctrl+k\" \"up\"]\n ;;  :editor/down            [\"ctrl+j\" \"down\"]\n ;;  :editor/left            [\"ctrl+h\" \"left\"]\n ;;  :editor/right           [\"ctrl+l\" \"right\"]}\n :shortcuts {}\n\n ;; Configure the behavior of pressing Enter in document mode.\n ;; if set to true, pressing Enter will create a new block.\n ;; Default value: false\n :shortcut/doc-mode-enter-for-new-block? false\n\n ;; Block content larger than `block/content-max-length` will not be searchable\n ;; or editable for performance.\n ;; Default value: 10000\n :block/content-max-length 10000\n\n ;; Display command documentation on hover.\n ;; Default value: true\n :ui/show-command-doc? true\n\n ;; Display empty bullet points.\n ;; Default value: false\n :ui/show-empty-bullets? false\n\n ;; Pre-defined :view function to use with advanced queries.\n :query/views\n {:pprint\n  (fn [r] [:pre.code (pprint r)])}\n\n ;; Advanced queries `:result-transform` function.\n ;; Transform the query result before displaying it.\n :query/result-transforms\n {:sort-by-priority\n  (fn [result] (sort-by (fn [h] (get h :block/priority \"Z\")) result))}\n\n ;; The following queries will be displayed at the bottom of today's journal page.\n ;; The \"NOW\" query returns tasks with \"NOW\" or \"DOING\" status.\n ;; The \"NEXT\" query returns tasks with \"NOW\", \"LATER\", or \"TODO\" status.\n :default-queries\n {:journals\n  [{:title \"🔨 NOW\"\n    :query [:find (pull ?h [*])\n            :in $ ?start ?today\n            :where\n            [?h :block/marker ?marker]\n            [(contains? #{\"NOW\" \"DOING\"} ?marker)]\n            [?h :block/page ?p]\n            [?p :block/journal? true]\n            [?p :block/journal-day ?d]\n            [(>= ?d ?start)]\n            [(<= ?d ?today)]]\n    :inputs [:14d :today]\n    :result-transform (fn [result]\n                        (sort-by (fn [h]\n                                   (get h :block/priority \"Z\")) result))\n    :group-by-page? false\n    :collapsed? false}\n   {:title \"📅 NEXT\"\n    :query [:find (pull ?h [*])\n            :in $ ?start ?next\n            :where\n            [?h :block/marker ?marker]\n            [(contains? #{\"NOW\" \"LATER\" \"TODO\"} ?marker)]\n            [?h :block/page ?p]\n            [?p :block/journal? true]\n            [?p :block/journal-day ?d]\n            [(> ?d ?start)]\n            [(< ?d ?next)]]\n    :inputs [:today :7d-after]\n    :group-by-page? false\n    :collapsed? false}]}\n\n ;; Add custom commands to the command palette\n ;; Example usage:\n ;; :commands\n ;; [\n ;;  [\"js\" \"Javascript\"]\n ;;  [\"md\" \"Markdown\"]\n ;;  ]\n :commands []\n\n ;; Enable collapsing blocks with titles but no children.\n ;; By default, only blocks with children can be collapsed.\n ;; Setting `:outliner/block-title-collapse-enabled?` to true allows collapsing\n ;; blocks with titles (multiple lines) and content. For example:\n ;; - block title\n ;;   block content\n ;; Default value: false\n :outliner/block-title-collapse-enabled? false\n\n ;; Macros replace texts and will make you more productive.\n ;; Example usage:\n ;; Change the :macros value below to:\n ;; {\"poem\" \"Rose is $1, violet's $2. Life's ordered: Org assists you.\"}\n ;; input \"{{poem red,blue}}\"\n ;; becomes\n ;; Rose is red, violet's blue. Life's ordered: Org assists you.\n :macros {}\n\n ;; Configure the default expansion level for linked references.\n ;; For example, consider the following block hierarchy:\n ;; - a [[page]] (level 1)\n ;;   - b        (level 2)\n ;;     - c      (level 3)\n ;;       - d    (level 4)\n ;;\n ;; With the default value of level 2, block b will be collapsed.\n ;; If the level's value is set to 3, block c will be collapsed.\n ;; Default value: 2\n :ref/default-open-blocks-level 2\n\n ;; Configure the threshold for linked references before collapsing.\n ;; Default value: 100\n :ref/linked-references-collapsed-threshold 50\n\n ;; Graph view configuration.\n ;; Example usage:\n ;; :graph/settings\n ;; {:orphan-pages?   true   ; Default value: true\n ;;  :builtin-pages?  false  ; Default value: false\n ;;  :excluded-pages? false  ; Default value: false\n ;;  :journal?        false} ; Default value: false\n\n ;; Graph view configuration.\n ;; Example usage:\n ;; :graph/forcesettings\n ;; {:link-dist       180    ; Default value: 180\n ;;  :charge-strength -600   ; Default value: -600\n ;;  :charge-range    600}   ; Default value: 600\n\n ;; Favorites to list on the left sidebar\n :favorites [\"Startpage\"]\n\n ;; Set flashcards interval.\n ;; Expected value:\n ;; - Float between 0 and 1\n ;; higher values result in faster changes to the next review interval.\n ;; Default value: 0.5\n ;; :srs/learning-fraction 0.5\n\n ;; Set the initial interval after the first successful review of a card.\n ;; Default value: 4\n ;; :srs/initial-interval 4\n\n ;; Hide specific block properties.\n ;; Example usage:\n ;; :block-hidden-properties #{:public :icon}\n\n ;; Create a page for all properties.\n ;; Default value: true\n :property-pages/enabled? true\n\n ;; Properties to exclude from having property pages\n ;; Example usage:\n ;; :property-pages/excludelist #{:duration :author}\n\n ;; By default, property value separated by commas will not be treated as\n ;; page references. You can add properties to enable it.\n ;; Example usage:\n ;; :property/separated-by-commas #{:alias :tags}\n\n ;; Properties that are ignored when parsing property values for references\n ;; Example usage:\n ;; :ignored-page-references-keywords #{:author :website}\n\n ;; logbook configuration.\n ;; :logbook/settings\n ;; {:with-second-support? false ;limit logbook to minutes, seconds will be eliminated\n ;;  :enabled-in-all-blocks true ;display logbook in all blocks after timetracking\n ;;  :enabled-in-timestamped-blocks false ;don't display logbook at all\n ;; }\n\n ;; Mobile photo upload configuration.\n ;; :mobile/photo\n ;; {:allow-editing? true\n ;;  :quality        80}\n\n ;; Mobile features options\n ;; Gestures\n ;; Example usage:\n ;; :mobile\n ;; {:gestures/disabled-in-block-with-tags [\"kanban\"]}\n\n ;; Extra CodeMirror options\n ;; See https://codemirror.net/5/doc/manual.html#config for possible options\n ;; Example usage:\n ;; :editor/extra-codemirror-options\n ;; {:lineWrapping  false  ; Default value: false\n ;;  :lineNumbers   true   ; Default value: true\n ;;  :readOnly      false} ; Default value: false\n\n ;; Enable logical outdenting\n ;; Default value: false\n ;; :editor/logical-outdenting? false\n\n ;; Prefer pasting the file when text and a file are in the clipboard.\n ;; Default value: false\n ;; :editor/preferred-pasting-file? false\n\n ;; Quick capture templates for receiving content from other apps.\n ;; Each template contains three elements {time}, {text} and {url}, which can be auto-expanded\n ;; by receiving content from other apps. Note: the {} cannot be omitted.\n ;; - {time}: capture time\n ;; - {date}: capture date using current date format, use `[[{date}]]` to get a page reference\n ;; - {text}: text that users selected before sharing.\n ;; - {url}: URL or assets path for media files stored in Logseq.\n ;; You can also reorder them or use only one or two of them in the template.\n ;; You can also insert or format any text in the template, as shown in the following examples.\n ;; :quick-capture-templates\n ;; {:text \"[[quick capture]] **{time}**: {text} from {url}\"\n ;;  :media \"[[quick capture]] **{time}**: {url}\"}\n\n ;; Quick capture options.\n ;; - insert-today?   Insert the capture at the end of today's journal page (boolean).\n ;; - redirect-page?  Redirect to the quick capture page after capturing (boolean).\n ;; - default-page    The default page to capture to if insert-today? is false (string).\n ;; :quick-capture-options\n ;; {:insert-today? false           ;; Default value: true\n ;;  :redirect-page? false          ;; Default value: false\n ;;  :default-page \"quick capture\"} ;; Default page: \"quick capture\"\n\n ;; File sync options\n ;; Ignore these files when syncing, regexp is supported.\n ;; :file-sync/ignore-files []\n\n ;; Configure the Enter key behavior for\n ;; context-aware editing with DWIM (Do What I Mean).\n ;; context-aware Enter key behavior implies that pressing Enter will\n ;; have different outcomes based on the context.\n ;; For instance, pressing Enter within a list generates a new list item,\n ;; whereas pressing Enter in a block reference opens the referenced block.\n ;; :dwim/settings\n ;; {:admonition&src?  true        ;; Default value: true\n ;;  :markup?          false       ;; Default value: false\n ;;  :block-ref?       true        ;; Default value: true\n ;;  :page-ref?        true        ;; Default value: true\n ;;  :properties?      true        ;; Default value: true\n ;;  :list?            false}      ;; Default value: false\n\n ;; Configure the escaping method for special characters in page titles.\n ;; Warning:\n ;;   This is a dangerous operation. To modify the setting,\n ;;   access the 'Filename format' setting and follow the instructions.\n ;;   Otherwise, You may need to manually rename all affected files and\n ;;   re-index them on all clients after synchronization.\n ;;   Incorrect handling may result in messy page titles.\n ;; Available options:\n ;;   - :triple-lowbar (default)\n ;;      ;use triple underscore `___` for slash `/` in page title\n ;;      ;use Percent-encoding for other invalid characters\n :file/name-format :triple-lowbar\n :journal/page-title-format \"yyyy/MM/dd\"\n :graph/settings {:journal? true\n :builtin-pages? true}\n :feature/enable-flashcards? false\n :ui/show-brackets? true\n :editor/preferred-pasting-file? true}\n",536870939]],["^15",[29,"^17",1751932905297,536870919]],["^15",[29,"~:file/last-modified-at","~m1751933023850",536870940]],["^15",[29,"^Z","logseq/config.edn",536870919]],["^15",[30,"^3","-",536872090]],["^15",[30,"^17",1751932905314,536870919]],["^15",[30,"^18","~m1752077285709",536872089]],["^15",[30,"^Z","pages/contents.md",536870919]],["^15",[31,"^Q","",536872088]],["^15",[31,"^O","^16",536870919]],["^15",[31,"^F",12,536870919]],["^15",[31,"^X",12,536870919]],["^15",[31,"^V",12,536870919]],["^15",[31,"^U",12,536870919]],["^15",[31,"^?",["^ "],536872088]],["^15",[31,"^;","~u686c5fe9-bd37-45a1-9a0b-efd940ff9a7a",536870919]],["^15",[32,"^3","## Wer ist die Autorschaft\n\t- Sicheres Urheberrecht sorgt für Wertschätzung und schafft überhaupt erst den Anreiz, ein Werk zu erschaffen (über die bloße Vorstellung einer Idee hinaus)\n\t- In der neoliberalen Konkurrenz einzelner Kunstschaffender besteht die Forderung nach Neuem, Originellem und Eigenständigem\n\t\t- Kunstform, die diese Grenzen immer wieder erprobt, ist **Appropriation Art** (Aneignungskunst)\n\t\t\t- Ursprüngliches Werk, Objekt oder Bild wird mit wenigen oder keinen Änderungen, ggf. mit verändertem Kontext, im neuen Werk abgebildet\n\t- Maschine als deterministisch unkreativ betrachtet\n\t\t- Computer und Programme bestehen aus Algorithmen, welche zwar erstellt werden und wie erhofft funktionieren, jedoch dem Bewusstsein verschlossen und unkommunikativ bleiben, sich aber trotzdem auf uns auswirken\n\t\t- Funktionweise unbekannt, Weg der Datenverarbeitung schwer nachvollziehbar → Autonomiecharakter → wirft juristische Fragen zum Urheberrecht auf\n\t- KI-Modelle wären ohne Trainingsdaten nichts\n\t\t- Menschen brauchen Inspiration und Referenzmaterial ebenso für Kreativität und Reaktion → Training bringt KI auf „ähnliche Spielfläche“ wie Menschen\n\t\t- Autoren sind ebenso „Filter“: nehmen Erfahrungen wahr, rekombinieren diese in undurchschaubarer Weise zu neuen Werken\n\t\t\t- Kein fundamentaler Unterschied zwischen AI und Mensch?\n\t- Sollte man maschinell und menschlich erstellte Werke also gleich behandeln? Sind Menschen der Maschine von Natur aus überlegen?\n\t\t- „Nur Menschen können Autoren sein, da Werke menschliche Erfahrungen widerspiegeln müssen“ → anthropozentrisch, tautologisch\n\t\t- Andererseits: Wenn Kunst rein im Ausdruck besteht, welche Rolle spielen dann innere Turbulenzen des Autors?\n\t- Ai als Stilmittel eines Autors\n\t\t- Malerei war lange mit dem Mythos des kreativen, männlichen, weißen Genies verbunden → durch AI-Nutzung kann dies hinterfragt werden\n\t\t- Kooperation zwischen Mensch und Nichtmenschlichem bringt Eigenheit und Widerstand, was besonderen künstlerischen Flair erzeugt\n\t\t- Autor als Filter + KI als Filter → rekursive Kaskade, die aufeinander aufbaut\n\t- #### Nehmen wir Originalität für AI-generierte Werke an:\n\t\t- Wird es kommen wie in Orwells *1984*, wo Romanschreib- und Musikkompositionsmaschinen eine automatische Kulturindustrie bilden? Bisher nicht – schon weil ökonomische Motivation zur Ersetzung menschlicher Arbeit in Kunstbereichen weitgehend fehlt.\n\t\t  *Doch Beispiele wie Spotify #Ai Music zeigen erste Ansätze.*\n- ### Entlohnung der Kunstschaffenden\n\t- Wer soll von durch Ai geschaffenen Werken entlohnt werden?\n\t- Wie geht der Kapitalismus mit massenhaft synthetisch geschaffenen Werken um?\n\t- Zunehmend verbreitet sich das Konzept von **Microwork**\n\t\t- Als AI erledigte Aufgaben werden vermarktet, obwohl sie in Wahrheit von unterbezahlten, oft ausgebeuteten Arbeitskräften ausgeführt werden\n\t\t- → *Siehe: „The Culture of Microwork“*",536876946]],["^15",[32,"^17",1751932905326,536870919]],["^15",[32,"^18","~m1752757800219",536876945]],["^15",[32,"^Z","pages/Ai Autorenschaft %23Note.md",536870919]],["^15",[33,"^K",1751932905440,536870919]],["^15",[33,"^[",32,536870919]],["^15",[33,"^@",false,536870919]],["^15",[33,"^Y","ai autorenschaft #note",536870919]],["^15",[33,"^11","Ai Autorenschaft #Note",536870919]],["^15",[33,"^B",1752757799172,536876943]],["^15",[33,"^;","~u687e222e-ee4e-44c4-970e-366669fb7694",536878647]],["^15",[34,"^K",1751932905370,536870919]],["^15",[34,"^[",202,536870919]],["^15",[34,"^@",false,536870919]],["^15",[34,"^Y","ai",536870919]],["^15",[34,"^11","Ai",536870919]],["^15",[34,"^?",["^ ","~:alias",["~#set",["Ai"]]],536870919]],["^15",[34,"^4",["^ ","^19","#Ai"],536870919]],["^15",[34,"^B",1751932905370,536870919]],["^15",[34,"^;","~u686c5fe9-668c-494d-a39c-6a3f3b79edc9",536870919]],["^15",[35,"^Q","Ai als Stilmittel eines Autors",536876939]],["^15",[35,"^O","^16",536870919]],["^15",[35,"^F",42,536870919]],["^15",[35,"^X",33,536870919]],["^15",[35,"^V",48,536870919]],["^15",[35,"^U",33,536876940]],["^15",[35,"^?",["^ "],536876939]],["^15",[35,"^;","~u686c5fe9-f8e8-4428-89f0-a3dc02c18fec",536870919]],["^15",[36,"^Q","Maschine als deterministisch unkreativ betrachtet",536870919]],["^15",[36,"^O","^16",536870919]],["^15",[36,"^F",61,536870919]],["^15",[36,"^X",33,536870919]],["^15",[36,"^V",48,536870919]],["^15",[36,"^U",33,536870919]],["^15",[36,"^;","~u686c5fe9-7089-458a-8071-a37924838c6d",536870919]],["^15",[37,"^Q","Funktionweise unbekannt, Weg der Datenverarbeitung schwer nachvollziehbar → Autonomiecharakter → wirft juristische Fragen zum Urheberrecht auf",536870919]],["^15",[37,"^O","^16",536870919]],["^15",[37,"^F",40,536870919]],["^15",[37,"^X",33,536870919]],["^15",[37,"^V",36,536870919]],["^15",[37,"^U",33,536870919]],["^15",[37,"^;","~u686c5fe9-9e87-460a-9e14-54327c1f5b6a",536870919]],["^15",[38,"^Q","Als AI erledigte Aufgaben werden vermarktet, obwohl sie in Wahrheit von unterbezahlten, oft ausgebeuteten Arbeitskräften ausgeführt werden",536870919]],["^15",[38,"^O","^16",536870919]],["^15",[38,"^F",39,536870919]],["^15",[38,"^X",33,536870919]],["^15",[38,"^V",39,536870919]],["^15",[38,"^U",33,536870919]],["^15",[38,"^;","~u686c5fe9-d7d6-4ba7-a745-93c11429df21",536870919]],["^15",[39,"^Q","Zunehmend verbreitet sich das Konzept von **Microwork**",536870919]],["^15",[39,"^O","^16",536870919]],["^15",[39,"^F",51,536870919]],["^15",[39,"^X",33,536870919]],["^15",[39,"^V",50,536870919]],["^15",[39,"^U",33,536870919]],["^15",[39,"^;","~u686c5fe9-ad22-4083-b623-8e557d551659",536870919]],["^15",[40,"^Q","Computer und Programme bestehen aus Algorithmen, welche zwar erstellt werden und wie erhofft funktionieren, jedoch dem Bewusstsein verschlossen und unkommunikativ bleiben, sich aber trotzdem auf uns auswirken",536870919]],["^15",[40,"^O","^16",536870919]],["^15",[40,"^F",36,536870919]],["^15",[40,"^X",33,536870919]],["^15",[40,"^V",36,536870919]],["^15",[40,"^U",33,536870919]],["^15",[40,"^;","~u686c5fe9-23d9-46f0-8e9d-42ed22e7ea9a",536870919]],["^15",[41,"^Q","Sicheres Urheberrecht sorgt für Wertschätzung und schafft überhaupt erst den Anreiz, ein Werk zu erschaffen (über die bloße Vorstellung einer Idee hinaus)",536870919]],["^15",[41,"^O","^16",536870919]],["^15",[41,"^F",48,536870919]],["^15",[41,"^X",33,536870919]],["^15",[41,"^V",48,536870919]],["^15",[41,"^U",33,536870919]],["^15",[41,"^;","~u686c5fe9-f148-461d-87cf-a12823005fb0",536870919]],["^15",[42,"^Q","Sollte man maschinell und menschlich erstellte Werke also gleich behandeln? Sind Menschen der Maschine von Natur aus überlegen?",536870919]],["^15",[42,"^O","^16",536870919]],["^15",[42,"^F",44,536870919]],["^15",[42,"^X",33,536870919]],["^15",[42,"^V",48,536870919]],["^15",[42,"^U",33,536870919]],["^15",[42,"^;","~u686c5fe9-e605-4d82-8c59-55c659591e95",536870919]],["^15",[43,"^Q","Kooperation zwischen Mensch und Nichtmenschlichem bringt Eigenheit und Widerstand, was besonderen künstlerischen Flair erzeugt",536870919]],["^15",[43,"^O","^16",536870919]],["^15",[43,"^F",60,536870919]],["^15",[43,"^X",33,536870919]],["^15",[43,"^V",35,536870919]],["^15",[43,"^U",33,536876940]],["^15",[43,"^;","~u686c5fe9-a22d-4285-8660-6f4647462628",536870919]],["^15",[44,"^Q","KI-Modelle wären ohne Trainingsdaten nichts",536870919]],["^15",[44,"^O","^16",536870919]],["^15",[44,"^F",36,536870919]],["^15",[44,"^X",33,536870919]],["^15",[44,"^V",48,536870919]],["^15",[44,"^U",33,536870919]],["^15",[44,"^;","~u686c5fe9-73fe-4e36-b235-e0940fc2d03b",536870919]],["^15",[45,"^Q","#### Nehmen wir Originalität für AI-generierte Werke an:",536870919]],["^15",[45,"^O","^16",536870919]],["^15",[45,"^F",35,536870919]],["^15",[45,"^X",33,536870919]],["^15",[45,"^V",48,536870919]],["^15",[45,"^U",33,536870919]],["^15",[45,"^?",["^ ","~:heading",4],536870919]],["^15",[45,"^J",[],536870919]],["^15",[45,"^;","~u686c5fe9-292a-4b18-befd-6ec88c070d06",536870919]],["^15",[46,"^Q","Ursprüngliches Werk, Objekt oder Bild wird mit wenigen oder keinen Änderungen, ggf. mit verändertem Kontext, im neuen Werk abgebildet",536870919]],["^15",[46,"^O","^16",536870919]],["^15",[46,"^F",47,536870919]],["^15",[46,"^X",33,536870919]],["^15",[46,"^V",47,536870919]],["^15",[46,"^U",33,536870919]],["^15",[46,"^;","~u686c5fe9-000d-40a4-9d38-99fd48d84470",536870919]],["^15",[47,"^Q","Kunstform, die diese Grenzen immer wieder erprobt, ist **Appropriation Art** (Aneignungskunst)",536870919]],["^15",[47,"^O","^16",536870919]],["^15",[47,"^F",61,536870919]],["^15",[47,"^X",33,536870919]],["^15",[47,"^V",61,536870919]],["^15",[47,"^U",33,536870919]],["^15",[47,"^;","~u686c5fe9-9580-4bd0-bf29-974523d02990",536870919]],["^15",[48,"^Q","## Wer ist die Autorschaft",536870919]],["^15",[48,"^O","^16",536870919]],["^15",[48,"^F",33,536870919]],["^15",[48,"^X",33,536870919]],["^15",[48,"^V",33,536870919]],["^15",[48,"^U",33,536870919]],["^15",[48,"^?",["^ ","^1;",2],536870919]],["^15",[48,"^J",[],536870919]],["^15",[48,"^;","~u686c5fe9-a551-4402-a47a-22a336e7953b",536870919]],["^15",[49,"^Q","Andererseits: Wenn Kunst rein im Ausdruck besteht, welche Rolle spielen dann innere Turbulenzen des Autors?",536870919]],["^15",[49,"^O","^16",536870919]],["^15",[49,"^F",53,536870919]],["^15",[49,"^X",33,536870919]],["^15",[49,"^V",42,536870919]],["^15",[49,"^U",33,536870919]],["^15",[49,"^;","~u686c5fe9-0c7a-410e-bf11-bc2b80d1595b",536870919]],["^15",[50,"^Q","### Entlohnung der Kunstschaffenden",536870919]],["^15",[50,"^O","^16",536870919]],["^15",[50,"^F",48,536870919]],["^15",[50,"^X",33,536870919]],["^15",[50,"^V",33,536870919]],["^15",[50,"^U",33,536870919]],["^15",[50,"^?",["^ ","^1;",3],536870919]],["^15",[50,"^J",[],536870919]],["^15",[50,"^;","~u686c5fe9-59b6-4718-8975-6e7bee98ca48",536870919]],["^15",[51,"^Q","Wie geht der Kapitalismus mit massenhaft synthetisch geschaffenen Werken um?",536870919]],["^15",[51,"^O","^16",536870919]],["^15",[51,"^F",56,536870919]],["^15",[51,"^X",33,536870919]],["^15",[51,"^V",50,536870919]],["^15",[51,"^U",33,536870919]],["^15",[51,"^;","~u686c5fe9-a2e7-4038-a3d8-259e9c7912c2",536870919]],["^15",[52,"^Q","Kein fundamentaler Unterschied zwischen AI und Mensch?",536870919]],["^15",[52,"^O","^16",536870919]],["^15",[52,"^F",59,536870919]],["^15",[52,"^X",33,536870919]],["^15",[52,"^V",59,536870919]],["^15",[52,"^U",33,536870919]],["^15",[52,"^;","~u686c5fe9-d311-40de-8f8c-a034f1b29b9c",536870919]],["^15",[53,"^Q","„Nur Menschen können Autoren sein, da Werke menschliche Erfahrungen widerspiegeln müssen“ → anthropozentrisch, tautologisch",536870919]],["^15",[53,"^O","^16",536870919]],["^15",[53,"^F",42,536870919]],["^15",[53,"^X",33,536870919]],["^15",[53,"^V",42,536870919]],["^15",[53,"^U",33,536870919]],["^15",[53,"^;","~u686c5fe9-3338-467f-8dfd-a06b039b167d",536870919]],["^15",[54,"^Q","Wird es kommen wie in Orwells *1984*, wo Romanschreib- und Musikkompositionsmaschinen eine automatische Kulturindustrie bilden? Bisher nicht – schon weil ökonomische Motivation zur Ersetzung menschlicher Arbeit in Kunstbereichen weitgehend fehlt.\n*Doch Beispiele wie Spotify #Ai Music zeigen erste Ansätze.*",536870919]],["^15",[54,"^O","^16",536870919]],["^15",[54,"^F",45,536870919]],["^15",[54,"^X",33,536870919]],["^15",[54,"^V",45,536870919]],["^15",[54,"^U",33,536870919]],["^15",[54,"^;","~u686c5fe9-733c-46d3-b293-3ce764bfc98a",536870919]],["^15",[55,"^Q","Menschen brauchen Inspiration und Referenzmaterial ebenso für Kreativität und Reaktion → Training bringt KI auf „ähnliche Spielfläche“ wie Menschen",536870919]],["^15",[55,"^O","^16",536870919]],["^15",[55,"^F",44,536870919]],["^15",[55,"^X",33,536870919]],["^15",[55,"^V",44,536870919]],["^15",[55,"^U",33,536870919]],["^15",[55,"^;","~u686c5fe9-e558-42f5-91c7-51387e1bae60",536870919]],["^15",[56,"^Q","Wer soll von durch Ai geschaffenen Werken entlohnt werden?",536876943]],["^15",[56,"^O","^16",536870919]],["^15",[56,"^F",50,536870919]],["^15",[56,"^X",33,536870919]],["^15",[56,"^V",50,536870919]],["^15",[56,"^U",33,536876944]],["^15",[56,"^?",["^ "],536876943]],["^15",[56,"^;","~u686c5fe9-6677-44d4-a3b9-3ab6f48f1221",536870919]],["^15",[57,"^Q","Autor als Filter + KI als Filter → rekursive Kaskade, die aufeinander aufbaut",536870919]],["^15",[57,"^O","^16",536870919]],["^15",[57,"^F",43,536870919]],["^15",[57,"^X",33,536870919]],["^15",[57,"^V",35,536870919]],["^15",[57,"^U",33,536876940]],["^15",[57,"^;","~u686c5fe9-de37-40fe-a2a3-dfdcdc09f498",536870919]],["^15",[58,"^Q","→ *Siehe: „The Culture of Microwork“*",536870919]],["^15",[58,"^O","^16",536870919]],["^15",[58,"^F",38,536870919]],["^15",[58,"^X",33,536870919]],["^15",[58,"^V",39,536870919]],["^15",[58,"^U",33,536870919]],["^15",[58,"^;","~u686c5fe9-ff95-45b2-8f86-9ca0af8fd874",536870919]],["^15",[59,"^Q","Autoren sind ebenso „Filter“: nehmen Erfahrungen wahr, rekombinieren diese in undurchschaubarer Weise zu neuen Werken",536870919]],["^15",[59,"^O","^16",536870919]],["^15",[59,"^F",55,536870919]],["^15",[59,"^X",33,536870919]],["^15",[59,"^V",44,536870919]],["^15",[59,"^U",33,536870919]],["^15",[59,"^;","~u686c5fe9-46f8-4eb5-ae2c-f16b34374b5e",536870919]],["^15",[60,"^Q","Malerei war lange mit dem Mythos des kreativen, männlichen, weißen Genies verbunden → durch AI-Nutzung kann dies hinterfragt werden",536870919]],["^15",[60,"^O","^16",536870919]],["^15",[60,"^F",35,536870919]],["^15",[60,"^X",33,536870919]],["^15",[60,"^V",35,536870919]],["^15",[60,"^U",33,536876940]],["^15",[60,"^;","~u686c5fe9-0979-4921-a2ca-4b8cb440d57a",536870919]],["^15",[61,"^Q","In der neoliberalen Konkurrenz einzelner Kunstschaffender besteht die Forderung nach Neuem, Originellem und Eigenständigem",536870919]],["^15",[61,"^O","^16",536870919]],["^15",[61,"^F",41,536870919]],["^15",[61,"^X",33,536870919]],["^15",[61,"^V",48,536870919]],["^15",[61,"^U",33,536870919]],["^15",[61,"^;","~u686c5fe9-0a41-4688-bf50-5aa2d2d472d5",536870919]],["^15",[62,"^3","### KNN und Algorithmen in GANs\n\t- Datenbanken werden zum Training verwendet, so wird dem Modell eine Art „Erinnerung“ verliehen (jedoch emotionslos im Vergleich zum menschlichen Gedächtnis)\n\t- KNN-Bilderkennung: Analyseobjekt → [KNN-Schichten] → analysierte Darstellung des KNN\n\t\t- Zwischenschichten bauen zur Bilderkennung auf dem gegebenen Bild auf, verändern es und fügen Informationen aus dem Datensatz hinzu → werden sie dadurch kreativ?\n\t\t- Die Ansicht der AI auf ein Bild kann bei Pausierung der Generation auf halbem Wege ersichtlich werden\n\t\t\t- Resultierende Bilder ähneln teils Beschreibungen von Personen unter LSD-Einfluss (Forschungsansätze hierzu vorhanden)\n\t- Halluzinationen als Form der Kreativität\n\t\t- Lässt man ein Bild analysieren, kann die AI es überinterpretieren (vergleichbar mit menschlichem Pareidolie-Erleben, z.B. Sternenbilder → Wagen-Silhouette)\n\t\t- AI kann Gruppen von Neuronen/Daten als zusammengehörig interpretieren, auch wenn dies faktisch nicht zutrifft\n\t\t- Fähigkeit zur Separation und Einzelbetrachtung von Bildelementen\n\t- AI kann Situationen sehen, die Menschen verborgen bleiben\n\t\t- Beispiel Go-Spiel: sinnvolle Züge weit außerhalb menschlicher Rechenkapazität → „Schimmer“ an Kreativität\n\t- AI geht weit über die Rolle des Werkzeugs hinaus\n\t\t- Kann sich selbst weiterentwickeln und komplexe Handlungen ausführen\n\t\t- Arbeitet mit Eingaben der Künstler (Datensätze) und Generationsparametern → kollaborativ\n\t- „Die Entwickler waren kreativ, nicht die AI“\n\t\t- Analogie: Wenn ich ein Buch schreibe, ist es meine Leistung, nicht jene meines Deutschlehrers, der mir das Schreiben beibrachte\n\t- Kritische Bewertung von AI-Werken ist möglich\n\t\t- Fraglich, ob diese Bewertung rein simuliert ist, da Modelle lediglich Antworten replizieren (Quellenkritik nötig)\n- ## Kreativität – Definition und KI\n\t- Kreativität: Produktion von neuem Wissen aus bereits vorhandenem durch Problemlösungsprozesse\n\t\t- Wichtige Merkmale:\n\t\t\t- Inspiration\n\t\t\t- Intuition\n\t\t\t- Emotionen\n\t\t\t- Bewusstsein\n\t\t\t- Unberechenbarkeit\n\t\t\t- Wettbewerbsfähigkeit\n\t\t\t- Ausdauer\n\t\t\t- Externe Faktoren\n\t\t- Experimente:\n\t\t\t- In einer Simulationsumgebung, in der Roboter Nahrung suchen mussten, gelang es einigen Modellen, andere zu täuschen (Unterdrückung kommunikativer Signale) → strategisches Verhalten, erste Anzeichen von „Emotion“?\n\t\t\t- Unberechenbarkeit kann in deterministischen Systemen durch den Schmetterlingseffekt erzeugt werden\n\t\t\t- Externe Faktoren können über Internetzugang und Nachahmung erlernt werden\n\t\t- Bewusstsein:\n\t\t\t- Mit Bewusstsein kommt Fähigkeit zur Selbstkritik und eigenständigem Lernen\n\t\t\t- Philosophische Frage: Wenn Bewusstsein berechenbar ist, wie künstlich ist Intelligenz dann noch?\n\t\t\t- Michael Graziano: Bewusstsein = Kombination aller mentalen Modelle zur Filterung von Informationen auf das Wesentliche\n\t- Aktuell besitzt KI nicht die Fähigkeit, über ihre eigenen Regeln hinauszugehen, um uns zu überraschen\n\t\t- Daher sollte AI-Kunst nicht danach beurteilt werden, wie nah sie der menschlichen kommt, sondern wie viel weiter sie gehen kann\n\t\t  \n\t\t  ---\n\t- Viele vertreten eine konservative Haltung:\n\t\t- „Nur der Mensch könne Schöpfer sein“\n\t\t- Doch warum sollte dieses Attribut nur auf uns beschränkt sein? → Zur Kreativität muss stets der Mensch im Spiel sein?\n\t- AI-Artists\n\t\t- Meist Ingenieure, Entwickler und Künstler\n\t\t- Ziel: Weiterentwicklung der KI-Kunst und Erforschung ihrer Möglichkeiten",536870919]],["^15",[62,"^17",1751932905338,536870919]],["^15",[62,"^Z","pages/Ai Funktionsweise der Kreativitaet %23Note.md",536870919]],["^15",[63,"^K",1751932905440,536870919]],["^15",[63,"^[",62,536870919]],["^15",[63,"^@",false,536870919]],["^15",[63,"^Y","ai funktionsweise der kreativitaet #note",536870919]],["^15",[63,"^11","Ai Funktionsweise der Kreativitaet #Note",536870919]],["^15",[63,"^B",1751932905440,536870919]],["^15",[63,"^;","~u687e222e-af2e-4cc3-8d75-7db9a469e3d6",536878647]],["^15",[64,"^Q","Beispiel Go-Spiel: sinnvolle Züge weit außerhalb menschlicher Rechenkapazität → „Schimmer“ an Kreativität",536870919]],["^15",[64,"^O","^16",536870919]],["^15",[64,"^F",106,536870919]],["^15",[64,"^X",63,536870919]],["^15",[64,"^V",106,536870919]],["^15",[64,"^U",63,536870919]],["^15",[64,"^;","~u686c5fe9-7895-420c-af1e-c7b009c30a37",536870919]],["^15",[65,"^Q","Resultierende Bilder ähneln teils Beschreibungen von Personen unter LSD-Einfluss (Forschungsansätze hierzu vorhanden)",536870919]],["^15",[65,"^O","^16",536870919]],["^15",[65,"^F",98,536870919]],["^15",[65,"^X",63,536870919]],["^15",[65,"^V",98,536870919]],["^15",[65,"^U",63,536870919]],["^15",[65,"^;","~u686c5fe9-21f8-4288-a4eb-562255d80380",536870919]],["^15",[66,"^Q","KNN-Bilderkennung: Analyseobjekt → [KNN-Schichten] → analysierte Darstellung des KNN",536870919]],["^15",[66,"^O","^16",536870919]],["^15",[66,"^F",89,536870919]],["^15",[66,"^X",63,536870919]],["^15",[66,"^V",105,536870919]],["^15",[66,"^U",63,536870919]],["^15",[66,"^;","~u686c5fe9-97e9-46b0-9b66-63cbb9323cdf",536870919]],["^15",[67,"^Q","Kreativität: Produktion von neuem Wissen aus bereits vorhandenem durch Problemlösungsprozesse",536870919]],["^15",[67,"^O","^16",536870919]],["^15",[67,"^F",90,536870919]],["^15",[67,"^X",63,536870919]],["^15",[67,"^V",90,536870919]],["^15",[67,"^U",63,536870919]],["^15",[67,"^;","~u686c5fe9-b4a6-47fe-9106-dc225f138c98",536870919]],["^15",[68,"^Q","Unberechenbarkeit kann in deterministischen Systemen durch den Schmetterlingseffekt erzeugt werden",536870919]],["^15",[68,"^O","^16",536870919]],["^15",[68,"^F",81,536870919]],["^15",[68,"^X",63,536870919]],["^15",[68,"^V",75,536870919]],["^15",[68,"^U",63,536870919]],["^15",[68,"^;","~u686c5fe9-37cd-452a-82b9-6bb5c90afef9",536870919]],["^15",[69,"^Q","Unberechenbarkeit",536870919]],["^15",[69,"^O","^16",536870919]],["^15",[69,"^F",71,536870919]],["^15",[69,"^X",63,536870919]],["^15",[69,"^V",95,536870919]],["^15",[69,"^U",63,536870919]],["^15",[69,"^;","~u686c5fe9-ea27-4e3d-ac87-1e30f6681cac",536870919]],["^15",[70,"^Q","Lässt man ein Bild analysieren, kann die AI es überinterpretieren (vergleichbar mit menschlichem Pareidolie-Erleben, z.B. Sternenbilder → Wagen-Silhouette)",536870919]],["^15",[70,"^O","^16",536870919]],["^15",[70,"^F",73,536870919]],["^15",[70,"^X",63,536870919]],["^15",[70,"^V",73,536870919]],["^15",[70,"^U",63,536870919]],["^15",[70,"^;","~u686c5fe9-d88a-4fa0-9a4e-345ae325e7a5",536870919]],["^15",[71,"^Q","Bewusstsein",536870919]],["^15",[71,"^O","^16",536870919]],["^15",[71,"^F",87,536870919]],["^15",[71,"^X",63,536870919]],["^15",[71,"^V",95,536870919]],["^15",[71,"^U",63,536870919]],["^15",[71,"^;","~u686c5fe9-df92-42ca-9c6e-48caa0e2d0c5",536870919]],["^15",[72,"^Q","Fähigkeit zur Separation und Einzelbetrachtung von Bildelementen",536870919]],["^15",[72,"^O","^16",536870919]],["^15",[72,"^F",109,536870919]],["^15",[72,"^X",63,536870919]],["^15",[72,"^V",73,536870919]],["^15",[72,"^U",63,536870919]],["^15",[72,"^;","~u686c5fe9-ec02-438b-82b3-f636be5c70c2",536870919]],["^15",[73,"^Q","Halluzinationen als Form der Kreativität",536870919]],["^15",[73,"^O","^16",536870919]],["^15",[73,"^F",66,536870919]],["^15",[73,"^X",63,536870919]],["^15",[73,"^V",105,536870919]],["^15",[73,"^U",63,536870919]],["^15",[73,"^;","~u686c5fe9-593a-4048-b425-e6674abb7315",536870919]],["^15",[74,"^Q","Michael Graziano: Bewusstsein = Kombination aller mentalen Modelle zur Filterung von Informationen auf das Wesentliche",536870919]],["^15",[74,"^O","^16",536870919]],["^15",[74,"^F",104,536870919]],["^15",[74,"^X",63,536870919]],["^15",[74,"^V",97,536870919]],["^15",[74,"^U",63,536870919]],["^15",[74,"^;","~u686c5fe9-171d-46b9-ac48-f5fd72f00534",536870919]],["^15",[75,"^Q","Experimente:",536870919]],["^15",[75,"^O","^16",536870919]],["^15",[75,"^F",95,536870919]],["^15",[75,"^X",63,536870919]],["^15",[75,"^V",67,536870919]],["^15",[75,"^U",63,536870919]],["^15",[75,"^;","~u686c5fe9-047f-49ed-a489-475591a15215",536870919]],["^15",[76,"^Q","Viele vertreten eine konservative Haltung:",536870919]],["^15",[76,"^O","^16",536870919]],["^15",[76,"^F",84,536870919]],["^15",[76,"^X",63,536870919]],["^15",[76,"^V",90,536870919]],["^15",[76,"^U",63,536870919]],["^15",[76,"^;","~u686c5fe9-8aa8-4dd3-a38c-27be5b0a9539",536870919]],["^15",[77,"^Q","Wettbewerbsfähigkeit",536870919]],["^15",[77,"^O","^16",536870919]],["^15",[77,"^F",69,536870919]],["^15",[77,"^X",63,536870919]],["^15",[77,"^V",95,536870919]],["^15",[77,"^U",63,536870919]],["^15",[77,"^;","~u686c5fe9-e82c-43ff-a899-b1fba98c939d",536870919]],["^15",[78,"^Q","AI-Artists",536870919]],["^15",[78,"^O","^16",536870919]],["^15",[78,"^F",76,536870919]],["^15",[78,"^X",63,536870919]],["^15",[78,"^V",90,536870919]],["^15",[78,"^U",63,536870919]],["^15",[78,"^;","~u686c5fe9-9aaa-4764-857b-a38c738599d3",536870919]],["^15",[79,"^Q","Externe Faktoren",536870919]],["^15",[79,"^O","^16",536870919]],["^15",[79,"^F",80,536870919]],["^15",[79,"^X",63,536870919]],["^15",[79,"^V",95,536870919]],["^15",[79,"^U",63,536870919]],["^15",[79,"^;","~u686c5fe9-0310-4b18-b726-fb6369465f24",536870919]],["^15",[80,"^Q","Ausdauer",536870919]],["^15",[80,"^O","^16",536870919]],["^15",[80,"^F",77,536870919]],["^15",[80,"^X",63,536870919]],["^15",[80,"^V",95,536870919]],["^15",[80,"^U",63,536870919]],["^15",[80,"^;","~u686c5fe9-c646-4d36-a5cf-2470b2a92830",536870919]],["^15",[81,"^Q","In einer Simulationsumgebung, in der Roboter Nahrung suchen mussten, gelang es einigen Modellen, andere zu täuschen (Unterdrückung kommunikativer Signale) → strategisches Verhalten, erste Anzeichen von „Emotion“?",536870919]],["^15",[81,"^O","^16",536870919]],["^15",[81,"^F",75,536870919]],["^15",[81,"^X",63,536870919]],["^15",[81,"^V",75,536870919]],["^15",[81,"^U",63,536870919]],["^15",[81,"^;","~u686c5fe9-774d-4b9a-a3d1-ca954da34668",536870919]],["^15",[82,"^Q","Meist Ingenieure, Entwickler und Künstler",536870919]],["^15",[82,"^O","^16",536870919]],["^15",[82,"^F",78,536870919]],["^15",[82,"^X",63,536870919]],["^15",[82,"^V",78,536870919]],["^15",[82,"^U",63,536870919]],["^15",[82,"^;","~u686c5fe9-5afb-44eb-879e-3462d96f1ec5",536870919]],["^15",[83,"^Q","Fraglich, ob diese Bewertung rein simuliert ist, da Modelle lediglich Antworten replizieren (Quellenkritik nötig)",536870919]],["^15",[83,"^O","^16",536870919]],["^15",[83,"^F",93,536870919]],["^15",[83,"^X",63,536870919]],["^15",[83,"^V",93,536870919]],["^15",[83,"^U",63,536870919]],["^15",[83,"^;","~u686c5fe9-44e6-4ca3-a2c1-e5dd09b4f39c",536870919]],["^15",[84,"^Q","Aktuell besitzt KI nicht die Fähigkeit, über ihre eigenen Regeln hinauszugehen, um uns zu überraschen",536870919]],["^15",[84,"^O","^16",536870919]],["^15",[84,"^F",67,536870919]],["^15",[84,"^X",63,536870919]],["^15",[84,"^V",90,536870919]],["^15",[84,"^U",63,536870919]],["^15",[84,"^;","~u686c5fe9-6d5d-4cbc-b612-a025b7392211",536870919]],["^15",[85,"^Q","Inspiration",536870919]],["^15",[85,"^O","^16",536870919]],["^15",[85,"^F",95,536870919]],["^15",[85,"^X",63,536870919]],["^15",[85,"^V",95,536870919]],["^15",[85,"^U",63,536870919]],["^15",[85,"^;","~u686c5fe9-1228-4e67-90b6-a00e9fc59a5d",536870919]],["^15",[86,"^Q","Intuition",536870919]],["^15",[86,"^O","^16",536870919]],["^15",[86,"^F",85,536870919]],["^15",[86,"^X",63,536870919]],["^15",[86,"^V",95,536870919]],["^15",[86,"^U",63,536870919]],["^15",[86,"^;","~u686c5fe9-d396-4ef4-b897-aafb710029a8",536870919]],["^15",[87,"^Q","Emotionen",536870919]],["^15",[87,"^O","^16",536870919]],["^15",[87,"^F",86,536870919]],["^15",[87,"^X",63,536870919]],["^15",[87,"^V",95,536870919]],["^15",[87,"^U",63,536870919]],["^15",[87,"^;","~u686c5fe9-5027-4ae9-962b-3eaa27b8a4b3",536870919]],["^15",[88,"^Q","Doch warum sollte dieses Attribut nur auf uns beschränkt sein? → Zur Kreativität muss stets der Mensch im Spiel sein?",536870919]],["^15",[88,"^O","^16",536870919]],["^15",[88,"^F",103,536870919]],["^15",[88,"^X",63,536870919]],["^15",[88,"^V",76,536870919]],["^15",[88,"^U",63,536870919]],["^15",[88,"^;","~u686c5fe9-7fb6-41e7-9083-52c1b4c4f354",536870919]],["^15",[89,"^Q","Datenbanken werden zum Training verwendet, so wird dem Modell eine Art „Erinnerung“ verliehen (jedoch emotionslos im Vergleich zum menschlichen Gedächtnis)",536870919]],["^15",[89,"^O","^16",536870919]],["^15",[89,"^F",105,536870919]],["^15",[89,"^X",63,536870919]],["^15",[89,"^V",105,536870919]],["^15",[89,"^U",63,536870919]],["^15",[89,"^;","~u686c5fe9-7c95-4696-9adc-8ae7716ebcd6",536870919]],["^15",[90,"^Q","## Kreativität – Definition und KI",536870919]],["^15",[90,"^O","^16",536870919]],["^15",[90,"^F",105,536870919]],["^15",[90,"^X",63,536870919]],["^15",[90,"^V",63,536870919]],["^15",[90,"^U",63,536870919]],["^15",[90,"^?",["^ ","^1;",2],536870919]],["^15",[90,"^J",[],536870919]],["^15",[90,"^;","~u686c5fe9-8ccd-4861-8269-1faae261a548",536870919]],["^15",[91,"^Q","„Die Entwickler waren kreativ, nicht die AI“",536870919]],["^15",[91,"^O","^16",536870919]],["^15",[91,"^F",108,536870919]],["^15",[91,"^X",63,536870919]],["^15",[91,"^V",105,536870919]],["^15",[91,"^U",63,536870919]],["^15",[91,"^;","~u686c5fe9-5cf4-446d-892d-cf26a8a2a22f",536870919]],["^15",[92,"^Q","Externe Faktoren können über Internetzugang und Nachahmung erlernt werden",536870919]],["^15",[92,"^O","^16",536870919]],["^15",[92,"^F",68,536870919]],["^15",[92,"^X",63,536870919]],["^15",[92,"^V",75,536870919]],["^15",[92,"^U",63,536870919]],["^15",[92,"^;","~u686c5fe9-e477-4302-94e1-4430d103071c",536870919]],["^15",[93,"^Q","Kritische Bewertung von AI-Werken ist möglich",536870919]],["^15",[93,"^O","^16",536870919]],["^15",[93,"^F",91,536870919]],["^15",[93,"^X",63,536870919]],["^15",[93,"^V",105,536870919]],["^15",[93,"^U",63,536870919]],["^15",[93,"^;","~u686c5fe9-6ac9-49df-9dd4-68f67d0f85ea",536870919]],["^15",[94,"^Q","Daher sollte AI-Kunst nicht danach beurteilt werden, wie nah sie der menschlichen kommt, sondern wie viel weiter sie gehen kann\n\n---",536870919]],["^15",[94,"^O","^16",536870919]],["^15",[94,"^F",84,536870919]],["^15",[94,"^X",63,536870919]],["^15",[94,"^V",84,536870919]],["^15",[94,"^U",63,536870919]],["^15",[94,"^;","~u686c5fe9-f754-4c40-8a80-5630b164bfe9",536870919]],["^15",[95,"^Q","Wichtige Merkmale:",536870919]],["^15",[95,"^O","^16",536870919]],["^15",[95,"^F",67,536870919]],["^15",[95,"^X",63,536870919]],["^15",[95,"^V",67,536870919]],["^15",[95,"^U",63,536870919]],["^15",[95,"^;","~u686c5fe9-3518-4f71-8f3a-32846ad77b48",536870919]],["^15",[96,"^Q","Kann sich selbst weiterentwickeln und komplexe Handlungen ausführen",536870919]],["^15",[96,"^O","^16",536870919]],["^15",[96,"^F",108,536870919]],["^15",[96,"^X",63,536870919]],["^15",[96,"^V",108,536870919]],["^15",[96,"^U",63,536870919]],["^15",[96,"^;","~u686c5fe9-2305-414d-b142-eede0deafc8c",536870919]],["^15",[97,"^Q","Bewusstsein:",536870919]],["^15",[97,"^O","^16",536870919]],["^15",[97,"^F",75,536870919]],["^15",[97,"^X",63,536870919]],["^15",[97,"^V",67,536870919]],["^15",[97,"^U",63,536870919]],["^15",[97,"^;","~u686c5fe9-e0af-4ddb-9d32-0cdfc6315b83",536870919]],["^15",[98,"^Q","Die Ansicht der AI auf ein Bild kann bei Pausierung der Generation auf halbem Wege ersichtlich werden",536870919]],["^15",[98,"^O","^16",536870919]],["^15",[98,"^F",101,536870919]],["^15",[98,"^X",63,536870919]],["^15",[98,"^V",66,536870919]],["^15",[98,"^U",63,536870919]],["^15",[98,"^;","~u686c5fe9-7277-4935-afe9-0b737ea7f8a1",536870919]],["^15",[99,"^Q","Analogie: Wenn ich ein Buch schreibe, ist es meine Leistung, nicht jene meines Deutschlehrers, der mir das Schreiben beibrachte",536870919]],["^15",[99,"^O","^16",536870919]],["^15",[99,"^F",91,536870919]],["^15",[99,"^X",63,536870919]],["^15",[99,"^V",91,536870919]],["^15",[99,"^U",63,536870919]],["^15",[99,"^;","~u686c5fe9-97c9-40c9-aca9-2140b71693bb",536870919]],["^15",[100,"^Q","Arbeitet mit Eingaben der Künstler (Datensätze) und Generationsparametern → kollaborativ",536870919]],["^15",[100,"^O","^16",536870919]],["^15",[100,"^F",96,536870919]],["^15",[100,"^X",63,536870919]],["^15",[100,"^V",108,536870919]],["^15",[100,"^U",63,536870919]],["^15",[100,"^;","~u686c5fe9-7c66-4e2f-a97e-6ca428cfc28f",536870919]],["^15",[101,"^Q","Zwischenschichten bauen zur Bilderkennung auf dem gegebenen Bild auf, verändern es und fügen Informationen aus dem Datensatz hinzu → werden sie dadurch kreativ?",536870919]],["^15",[101,"^O","^16",536870919]],["^15",[101,"^F",66,536870919]],["^15",[101,"^X",63,536870919]],["^15",[101,"^V",66,536870919]],["^15",[101,"^U",63,536870919]],["^15",[101,"^;","~u686c5fe9-3eeb-4447-98fb-5e598fa695b8",536870919]],["^15",[102,"^Q","Ziel: Weiterentwicklung der KI-Kunst und Erforschung ihrer Möglichkeiten",536870919]],["^15",[102,"^O","^16",536870919]],["^15",[102,"^F",82,536870919]],["^15",[102,"^X",63,536870919]],["^15",[102,"^V",78,536870919]],["^15",[102,"^U",63,536870919]],["^15",[102,"^;","~u686c5fe9-cf62-451c-8ecd-11999562ceb0",536870919]],["^15",[103,"^Q","„Nur der Mensch könne Schöpfer sein“",536870919]],["^15",[103,"^O","^16",536870919]],["^15",[103,"^F",76,536870919]],["^15",[103,"^X",63,536870919]],["^15",[103,"^V",76,536870919]],["^15",[103,"^U",63,536870919]],["^15",[103,"^;","~u686c5fe9-b834-481d-bae4-072e8bedf8f6",536870919]],["^15",[104,"^Q","Philosophische Frage: Wenn Bewusstsein berechenbar ist, wie künstlich ist Intelligenz dann noch?",536870919]],["^15",[104,"^O","^16",536870919]],["^15",[104,"^F",107,536870919]],["^15",[104,"^X",63,536870919]],["^15",[104,"^V",97,536870919]],["^15",[104,"^U",63,536870919]],["^15",[104,"^;","~u686c5fe9-2c00-4cd2-8268-922550120d4f",536870919]],["^15",[105,"^Q","### KNN und Algorithmen in GANs",536870919]],["^15",[105,"^O","^16",536870919]],["^15",[105,"^F",63,536870919]],["^15",[105,"^X",63,536870919]],["^15",[105,"^V",63,536870919]],["^15",[105,"^U",63,536870919]],["^15",[105,"^?",["^ ","^1;",3],536870919]],["^15",[105,"^J",[],536870919]],["^15",[105,"^;","~u686c5fe9-5086-4892-83ee-f5cc7106d82c",536870919]],["^15",[106,"^Q","AI kann Situationen sehen, die Menschen verborgen bleiben",536870919]],["^15",[106,"^O","^16",536870919]],["^15",[106,"^F",73,536870919]],["^15",[106,"^X",63,536870919]],["^15",[106,"^V",105,536870919]],["^15",[106,"^U",63,536870919]],["^15",[106,"^;","~u686c5fe9-dd7e-4081-a1e1-42826c389b0f",536870919]],["^15",[107,"^Q","Mit Bewusstsein kommt Fähigkeit zur Selbstkritik und eigenständigem Lernen",536870919]],["^15",[107,"^O","^16",536870919]],["^15",[107,"^F",97,536870919]],["^15",[107,"^X",63,536870919]],["^15",[107,"^V",97,536870919]],["^15",[107,"^U",63,536870919]],["^15",[107,"^;","~u686c5fe9-ffa8-4926-aef6-02a945d910d4",536870919]],["^15",[108,"^Q","AI geht weit über die Rolle des Werkzeugs hinaus",536870919]],["^15",[108,"^O","^16",536870919]],["^15",[108,"^F",106,536870919]],["^15",[108,"^X",63,536870919]],["^15",[108,"^V",105,536870919]],["^15",[108,"^U",63,536870919]],["^15",[108,"^;","~u686c5fe9-ede2-461e-9db9-8822ab95e5e4",536870919]],["^15",[109,"^Q","AI kann Gruppen von Neuronen/Daten als zusammengehörig interpretieren, auch wenn dies faktisch nicht zutrifft",536870919]],["^15",[109,"^O","^16",536870919]],["^15",[109,"^F",70,536870919]],["^15",[109,"^X",63,536870919]],["^15",[109,"^V",73,536870919]],["^15",[109,"^U",63,536870919]],["^15",[109,"^;","~u686c5fe9-14d0-4b21-9cc4-9057fedae564",536870919]],["^15",[110,"^3","# Deffinition Ai art\n\t- Es gibt nicht **„die AI“**\n\t\t- Vielmehr ist es ein sehr vielfältiges Forschungsfeld aus Medien, Algorithmen und Programmierung\n\t\t- Forschungsfelder weiten sich von Robotik, Informatik und Automatisierung auf Kommunikationswissenschaften, Neuro- und Psychologie (und weitere) aus\n\t\t- Themenfelder:\n\t\t\t- Mustererkennung\n\t\t\t- Simulation von Kreativität und intelligentem Verhalten\n\t\t\t- Problemlösungen und Suchsysteme\n\t\t- AI als Expertensystem ersetzt frühere Technologien\n\t- Mentale Vorgänge (Denken)\n\t\t- Können durch elektrische oder mechanische Vorgänge simuliert werden\n\t\t- Eine der bedeutendsten Erkenntnisse der letzten 100 Jahre\n\t\t- Künstliche neuronale Netzwerke → Deep Learning\n\t- AI Kunst ist Teil der algorithmischen Kunst\n\t\t- Kunst, die basierend auf einer Handlungsverschrift bei gegebenen Eingabewerten einen erwartbaren Ausgabewert (Funktionswert) liefert\n\t\t- Der Nutzer kann selbst zum Parameter werden und so das Bild verändern\n\t\t- Computer Art existiert seit den 1960er Jahren\n\t\t- Spätestens seit den ersten generativen Bildmodellen ist klar: Computer sind fähig, Künstler (zumindest teilweise) zu ersetzen\n\t- Erkennung computer-generierter Bilder vs. menschengemachter Bilder als neue Art des Turing-Tests\n\t\t- \"Who is generated, who is born?\"\n\t\t- Diese Frage wird obsolet, wenn Maschinen zunehmend kreativer erscheinen oder tatsächlich werden\n- # Ai und Kunst\n\t- AI Art emigriert aus menschlichen und nicht-menschlichen Netzwerken:\n\t\t- Sie ist mehr als das bloße Endresultat\n\t\t- Gemeinsames kreatives Handeln\n\t\t- --> Kokreativität: Der Bias des Datensatzes beeinflusst das Endresultat und wird auch durch kulturell eingeschriebene beziehungsweise eincodierte Machtverhältnisse und Politiken bestimmt\n\t- ## Frage: Braucht es einen moderneren Begriff – was ist Kunst?\n\t\t- Die Position der KI wird in verschiedensten Kreisen anders bewertet und ist umstritten\n\t\t\t- Valide Künstler, Hilfsmittel oder bloße Rekreationsmaschine?\n\t\t- Fakt ist: Sie ist im künstlerischen Bereich bereits angekommen und wird in Kunsthäusern versteigert und ausgestellt (z.B. zeichnender Roboter AI-DA)\n\t- ## Funktionen\n\t  collapsed:: true\n\t\t- Filter\n\t\t- Bild-, Text-, Video-, Audio-Generierung für Menschen\n\t\t- Deepfakes (kann bereits empathisch erscheinen)\n\t\t- Avancierte Robotik\n\t\t\t- Optimierung und Planung in der weltweiten Wirtschaft\n\t\t- Daten dienen dabei als Pigment oder Stimmband\n\t\t- Zeigen vermeintlich intelligentes Verhalten, indem sie auf Eingaben (Trigger) durch vorher Gelerntes (ggf. mit induzierter zufälliger Varianz) entsprechend reagieren, um ein Problem zu lösen\n\t- ## Funktionsweise KI\n\t\t- Ob KI Kreativität, Intelligenz oder gar freier Wille zugesprochen wird, ist stark debattiert, sowohl in der Kunst als auch in der Philosophie\n\t\t\t- Es gibt immer wieder Artikel, die berichten, dass Modelle in Laborumgebungen lügen würden, um das eigene Abschalten zu verhindern. Wahrscheinlich ist dieses Verhalten jedoch lediglich auf die Replikation menschlichen Verhaltens, welches in den Trainingsdaten beinhaltet war, zurückzuführen. Zu 100% nachvollziehbar ist dies jedoch nicht.\n\t\t- Die Rohstoffe von KI sind Informationen und Daten\n\t\t- Algorithmen bieten die Regeln, wie eine Lösung gefunden werden soll. Beim Machine Learning wird zusätzlich auf mehrere Ebenen von Daten zugegriffen, um ein Ergebnis zu erzielen.\n\t\t\t- Ein GAN-Modell kann dabei von sich selbst lernen:\n\t\t\t\t- Zunächst wird ein Diskriminator mit großen Datenmengen angelernt\n\t\t\t\t- Ein Generator versucht dann, den Diskriminator davon zu überzeugen, dass entsprechend generierte Bilder nicht generiert waren\n\t\t\t\t- Für die Generierung werden die Beschaffenheiten der zum Lernen des Diskriminators verwendeten Daten genutzt. Es wird versucht, die Merkmale zu rekreieren.\n\t\t\t\t- Es handelt sich um eine emulative Kunstform (dazu gehören auch Morphing, Remix und Mash-up)\n\t\t\t- CAN-Modelle sind darüber hinaus besonders darauf spezialisiert, aus gelernten Daten etwas Transformatives, d.h. Neues, zu erschaffen statt Altes zu reproduzieren\n\t\t- Bei der Entwicklung von Modellen stellt gerade die bildende Kunst (in der Robotik) ein Hauptforschungsfeld dar. Sie bietet die Möglichkeit der visuellen Darstellung der Funktionsweise neuronaler Netze (auch publikumswirksam)\n\t\t\t- Kreativität wird somit als Evidenz für Intelligenz gesetzt\n\t- #### Fragen\n\t\t- Was wird KI?\n\t\t\t- Ein weiteres Tool für Künstler bei der Entwicklung von Kunst\n\t\t\t- Metamorphosische (GANische) automatisierte Rekreationsmaschine durch Formsprachen?\n\t\t\t\t- Wird KI vollautonomer Künstler?\n\t\t\t\t- Besteht die Zukunft in Kokreativität?\n\t\t\t- Evolution der menschlichen Kunst zu nie zuvor gekannten Darstellungen?\n\t\t- Wer ist der Künstler?\n\t\t\t- Das Modell selbst\n\t\t\t- Der Verfasser des Algorithmus\n\t\t\t- Der Künstler, der das Modell bedient\n\t\t\t- Diejenigen, von denen die Trainingsdaten stammen\n\t- ## Transformation\n\t\t- Die Aufweitung des Kunstbegriffs oder allein die Möglichkeit der Kunstschaffung durch autonome, nicht-menschliche Akteure begeistert und beunruhigt gleichermaßen\n\t\t- Der Kapitalismus im digitalen Zeitalter fördert zunehmend die fließbandartige Produktion von Kunst, was die Adoption von AI Art ungemein begünstigt\n\t\t\t- Gleichzeitig werden dadurch ohnehin schon oft kaum von ihren Werken lebende Künstler weiter verdrängt (durch gleich-qualitative Werke oder die schiere Masse an diesen)\n\t\t- Die AI setzt außerdem den Trend der Nichtigkeit des digitalen Besitztums fort:\n\t\t\t- Sie kann Imitationen nicht nur von realen Personen, sondern auch von Konzepten erstellen (die meisten Modelle bestehen aus dieser Idee)\n\t\t\t- Wer besitzt die Rechte an einem Zeichenstil?\n\t\t\t- AI besitzt die Kraft, Neues mit Bedeutung und Sinn aus Altem zu erstellen – man bezeichnet dies als \"Computational Creativity\"\n\t\t- Mit welcher Intention gestaltet AI?\n\t\t\t- Kann das bloße Antworten auf Fragen genug Intention für wahre Kreativität mit sich bringen?\n\t\t- Andererseits: Was ist menschliche Kreativität?\n\t\t\t- Entsteht diese nicht auch bloß durch die Aufnahme äußerer Wahrnehmungen und deren Interpretation?\n\t\t\t- Entsteht dadurch nicht erst der einzigartige Stil, der jeden Künstler auszeichnet?\n\t\t\t- Inwiefern unterscheidet sich diese Art der Kreativität von jener der AI?\n\t\t\t- Repräsentative Umfragen zeigen immer wieder: Gerade bei künstlerischen Werken (z.B. Malerei) ist nicht mehr zwischen Generation und menschlichem Werk unterscheidbar, die Inspirationsgefühle bei der Betrachtung sind ebenso gleich\n\t- ## Offene Fragen\n\t\t- Wie umgehen mit Bottom-Up-AI?\n\t\t- Wer ist Urheber bei der Aufbereitung alter Werke (Übertragung auf KI)?\n\t\t- AI außerhalb der Kunst: Vergleich Code/Textarbeit\n\t\t- KI vermittelt fast religiöse Zustände:\n\t\t\t- Sie macht uns Angst, Angst uns zu ersetzen\n\t\t\t- Gleichzeitig regt sie die Hoffnung, sie könnte uns helfen\n\t\t- Wer spricht eigentlich zu wem?\n\t\t\t- Bias und Gefahr der Trainingsdaten\n-\n-\n-",536874447]],["^15",[110,"^17",1751932905357,536870919]],["^15",[110,"^18","~m1752677310626",536876339]],["^15",[110,"^Z","pages/Ai Kreativitaet %23Note.md",536870919]],["^15",[111,"^K",1751932905440,536870919]],["^15",[111,"^[",110,536870919]],["^15",[111,"^@",false,536870919]],["^15",[111,"^Y","ai kreativitaet #note",536870919]],["^15",[111,"^11","Ai Kreativitaet #Note",536870919]],["^15",[111,"^B",1752669896454,536874442]],["^15",[111,"^;","~u687e222e-9246-4e77-b870-ea8052f7ba3a",536878647]],["^15",[112,"^Q","Wer spricht eigentlich zu wem?",536870919]],["^15",[112,"^O","^16",536870919]],["^15",[112,"^F",156,536870919]],["^15",[112,"^X",111,536870919]],["^15",[112,"^V",190,536870919]],["^15",[112,"^U",111,536870919]],["^15",[112,"^;","~u686c5fe9-ac80-40ed-8da1-8e55dee608eb",536870919]],["^15",[113,"^Q","Wer ist der Künstler?",536870919]],["^15",[113,"^O","^16",536870919]],["^15",[113,"^F",118,536870919]],["^15",[113,"^X",111,536870919]],["^15",[113,"^V",129,536870919]],["^15",[113,"^U",111,536870919]],["^15",[113,"^;","~u686c5fe9-b36a-432b-9110-964d9821a9db",536870919]],["^15",[114,"^Q","Spätestens seit den ersten generativen Bildmodellen ist klar: Computer sind fähig, Künstler (zumindest teilweise) zu ersetzen",536870919]],["^15",[114,"^O","^16",536870919]],["^15",[114,"^F",120,536870919]],["^15",[114,"^X",111,536870919]],["^15",[114,"^V",176,536870919]],["^15",[114,"^U",111,536870919]],["^15",[114,"^;","~u686c5fe9-86b6-4687-972a-b16b72d874be",536870919]],["^15",[115,"^Q","Sie kann Imitationen nicht nur von realen Personen, sondern auch von Konzepten erstellen (die meisten Modelle bestehen aus dieser Idee)",536870919]],["^15",[115,"^O","^16",536870919]],["^15",[115,"^F",121,536870919]],["^15",[115,"^X",111,536870919]],["^15",[115,"^V",121,536870919]],["^15",[115,"^U",111,536870919]],["^15",[115,"^;","~u686c5fe9-f07c-4c18-8b2e-c58ad95b3b44",536870919]],["^15",[116,"^Q","\"Who is generated, who is born?\"",536870919]],["^15",[116,"^O","^16",536870919]],["^15",[116,"^F",192,536870919]],["^15",[116,"^X",111,536870919]],["^15",[116,"^V",192,536870919]],["^15",[116,"^U",111,536870919]],["^15",[116,"^;","~u686c5fe9-d2d5-49b7-a206-0309feab26c9",536870919]],["^15",[117,"^Q","Die Aufweitung des Kunstbegriffs oder allein die Möglichkeit der Kunstschaffung durch autonome, nicht-menschliche Akteure begeistert und beunruhigt gleichermaßen",536870919]],["^15",[117,"^O","^16",536870919]],["^15",[117,"^F",188,536870919]],["^15",[117,"^X",111,536870919]],["^15",[117,"^V",188,536870919]],["^15",[117,"^U",111,536870919]],["^15",[117,"^;","~u686c5fe9-0422-4ab1-920f-0f7105c18c6f",536870919]],["^15",[118,"^Q","Was wird KI?",536870919]],["^15",[118,"^O","^16",536870919]],["^15",[118,"^F",129,536870919]],["^15",[118,"^X",111,536870919]],["^15",[118,"^V",129,536870919]],["^15",[118,"^U",111,536870919]],["^15",[118,"^;","~u686c5fe9-1394-4a26-8a2d-d8b3cb8778ba",536870919]],["^15",[119,"^Q","## Funktionsweise KI",536870919]],["^15",[119,"^O","^16",536870919]],["^15",[119,"^F",198,536870919]],["^15",[119,"^X",111,536870919]],["^15",[119,"^V",147,536870919]],["^15",[119,"^U",111,536870919]],["^15",[119,"^?",["^ ","^1;",2],536870919]],["^15",[119,"^J",[],536870919]],["^15",[119,"^;","~u686c5fe9-2cc7-46b6-b934-0b528f296251",536870919]],["^15",[120,"^Q","Computer Art existiert seit den 1960er Jahren",536870919]],["^15",[120,"^O","^16",536870919]],["^15",[120,"^F",151,536870919]],["^15",[120,"^X",111,536870919]],["^15",[120,"^V",176,536870919]],["^15",[120,"^U",111,536870919]],["^15",[120,"^;","~u686c5fe9-96d7-4cdc-8210-f63a09a4fc75",536870919]],["^15",[121,"^Q","Die AI setzt außerdem den Trend der Nichtigkeit des digitalen Besitztums fort:",536870919]],["^15",[121,"^O","^16",536870919]],["^15",[121,"^F",201,536870919]],["^15",[121,"^X",111,536870919]],["^15",[121,"^V",188,536870919]],["^15",[121,"^U",111,536870919]],["^15",[121,"^;","~u686c5fe9-86ce-4c87-8843-fdd7b4e5c7c4",536870919]],["^15",[122,"^Q","Avancierte Robotik",536870919]],["^15",[122,"^O","^16",536870919]],["^15",[122,"^F",186,536870919]],["^15",[122,"^X",111,536870919]],["^15",[122,"^V",198,536870919]],["^15",[122,"^U",111,536870919]],["^15",[122,"^;","~u686c5fe9-b397-469c-a6a2-32a8a3d56f6e",536870919]],["^15",[123,"^Q","Mit welcher Intention gestaltet AI?",536870919]],["^15",[123,"^O","^16",536870919]],["^15",[123,"^F",121,536870919]],["^15",[123,"^X",111,536870919]],["^15",[123,"^V",188,536870919]],["^15",[123,"^U",111,536870919]],["^15",[123,"^;","~u686c5fe9-42be-4f73-8f5d-d64a3be14d90",536870919]],["^15",[124,"^Q","Diejenigen, von denen die Trainingsdaten stammen",536870919]],["^15",[124,"^O","^16",536870919]],["^15",[124,"^F",138,536870919]],["^15",[124,"^X",111,536870919]],["^15",[124,"^V",113,536870919]],["^15",[124,"^U",111,536870919]],["^15",[124,"^;","~u686c5fe9-8483-4d28-bad4-20b55d8a683f",536870919]],["^15",[125,"^Q","Valide Künstler, Hilfsmittel oder bloße Rekreationsmaschine?",536870919]],["^15",[125,"^O","^16",536870919]],["^15",[125,"^F",171,536870919]],["^15",[125,"^X",111,536870919]],["^15",[125,"^V",171,536870919]],["^15",[125,"^U",111,536874439]],["^15",[125,"^;","~u686c5fe9-65ae-43b8-9271-ec9b6d64f279",536870919]],["^15",[126,"^Q","Daten dienen dabei als Pigment oder Stimmband",536870919]],["^15",[126,"^O","^16",536870919]],["^15",[126,"^F",122,536870919]],["^15",[126,"^X",111,536870919]],["^15",[126,"^V",198,536870919]],["^15",[126,"^U",111,536870919]],["^15",[126,"^;","~u686c5fe9-217e-46ad-a69c-0d4d38d1a72d",536870919]],["^15",[127,"^Q","Simulation von Kreativität und intelligentem Verhalten",536870919]],["^15",[127,"^O","^16",536870919]],["^15",[127,"^F",177,536870919]],["^15",[127,"^X",111,536870919]],["^15",[127,"^V",139,536870919]],["^15",[127,"^U",111,536870919]],["^15",[127,"^;","~u686c5fe9-6249-4012-ab19-e227af8e8df6",536870919]],["^15",[128,"^Q","Wie umgehen mit Bottom-Up-AI?",536870919]],["^15",[128,"^O","^16",536870919]],["^15",[128,"^F",190,536870919]],["^15",[128,"^X",111,536870919]],["^15",[128,"^V",190,536870919]],["^15",[128,"^U",111,536870919]],["^15",[128,"^;","~u686c5fe9-2550-481f-a6da-f64f702a0a35",536870919]],["^15",[129,"^Q","#### Fragen",536870919]],["^15",[129,"^O","^16",536870919]],["^15",[129,"^F",119,536870919]],["^15",[129,"^X",111,536870919]],["^15",[129,"^V",147,536870919]],["^15",[129,"^U",111,536870919]],["^15",[129,"^?",["^ ","^1;",4],536870919]],["^15",[129,"^J",[],536870919]],["^15",[129,"^;","~u686c5fe9-3c03-4f23-a1db-45f631583aac",536870919]],["^15",[130,"^Q","Wird KI vollautonomer Künstler?",536870919]],["^15",[130,"^O","^16",536870919]],["^15",[130,"^F",155,536870919]],["^15",[130,"^X",111,536870919]],["^15",[130,"^V",155,536870919]],["^15",[130,"^U",111,536870919]],["^15",[130,"^;","~u686c5fe9-9770-4381-974b-f358631e0246",536870919]],["^15",[131,"^Q","Vielmehr ist es ein sehr vielfältiges Forschungsfeld aus Medien, Algorithmen und Programmierung",536870919]],["^15",[131,"^O","^16",536870919]],["^15",[131,"^F",144,536870919]],["^15",[131,"^X",111,536870919]],["^15",[131,"^V",144,536870919]],["^15",[131,"^U",111,536870919]],["^15",[131,"^;","~u686c5fe9-3f7a-4ec9-8472-5b5a88d6086b",536870919]],["^15",[132,"^Q","Ob KI Kreativität, Intelligenz oder gar freier Wille zugesprochen wird, ist stark debattiert, sowohl in der Kunst als auch in der Philosophie",536870919]],["^15",[132,"^O","^16",536870919]],["^15",[132,"^F",119,536870919]],["^15",[132,"^X",111,536870919]],["^15",[132,"^V",119,536870919]],["^15",[132,"^U",111,536870919]],["^15",[132,"^;","~u686c5fe9-ed23-41ba-8ae6-912c24f2b06c",536870919]],["^15",[133,"^Q","Entsteht diese nicht auch bloß durch die Aufnahme äußerer Wahrnehmungen und deren Interpretation?",536870919]],["^15",[133,"^O","^16",536870919]],["^15",[133,"^F",196,536870919]],["^15",[133,"^X",111,536870919]],["^15",[133,"^V",196,536870919]],["^15",[133,"^U",111,536870919]],["^15",[133,"^;","~u686c5fe9-067c-4919-926b-3b47544d0149",536870919]],["^15",[134,"^Q","Sie macht uns Angst, Angst uns zu ersetzen",536870919]],["^15",[134,"^O","^16",536870919]],["^15",[134,"^F",156,536870919]],["^15",[134,"^X",111,536870919]],["^15",[134,"^V",156,536870919]],["^15",[134,"^U",111,536870919]],["^15",[134,"^;","~u686c5fe9-0dd5-463e-badd-f2417e261b94",536870919]],["^15",[135,"^Q","Besteht die Zukunft in Kokreativität?",536870919]],["^15",[135,"^O","^16",536870919]],["^15",[135,"^F",130,536870919]],["^15",[135,"^X",111,536870919]],["^15",[135,"^V",155,536870919]],["^15",[135,"^U",111,536870919]],["^15",[135,"^;","~u686c5fe9-3358-4eee-8332-7cbc53da30d3",536870919]],["^15",[136,"^Q","Zeigen vermeintlich intelligentes Verhalten, indem sie auf Eingaben (Trigger) durch vorher Gelerntes (ggf. mit induzierter zufälliger Varianz) entsprechend reagieren, um ein Problem zu lösen",536870919]],["^15",[136,"^O","^16",536870919]],["^15",[136,"^F",126,536870919]],["^15",[136,"^X",111,536870919]],["^15",[136,"^V",198,536870919]],["^15",[136,"^U",111,536870919]],["^15",[136,"^;","~u686c5fe9-c032-40af-a28a-1378bed1f406",536870919]],["^15",[137,"^Q","Problemlösungen und Suchsysteme",536870919]],["^15",[137,"^O","^16",536870919]],["^15",[137,"^F",127,536870919]],["^15",[137,"^X",111,536870919]],["^15",[137,"^V",139,536870919]],["^15",[137,"^U",111,536870919]],["^15",[137,"^;","~u686c5fe9-ff2f-4392-9241-6ad28382e480",536870919]],["^15",[138,"^Q","Der Künstler, der das Modell bedient",536870919]],["^15",[138,"^O","^16",536870919]],["^15",[138,"^F",152,536870919]],["^15",[138,"^X",111,536870919]],["^15",[138,"^V",113,536870919]],["^15",[138,"^U",111,536870919]],["^15",[138,"^;","~u686c5fe9-f244-4caf-b96d-57b904a4be41",536870919]],["^15",[139,"^Q","Themenfelder:",536870919]],["^15",[139,"^O","^16",536870919]],["^15",[139,"^F",191,536870919]],["^15",[139,"^X",111,536870919]],["^15",[139,"^V",144,536870919]],["^15",[139,"^U",111,536870919]],["^15",[139,"^;","~u686c5fe9-f3e3-47ec-9c31-ead4f0b3fc53",536870919]],["^15",[140,"^Q","Diese Frage wird obsolet, wenn Maschinen zunehmend kreativer erscheinen oder tatsächlich werden",536870919]],["^15",[140,"^O","^16",536870919]],["^15",[140,"^F",116,536870919]],["^15",[140,"^X",111,536870919]],["^15",[140,"^V",192,536870919]],["^15",[140,"^U",111,536870919]],["^15",[140,"^;","~u686c5fe9-d26d-43c8-a049-612c3dc8dcea",536870919]],["^15",[141,"^Q","Wer ist Urheber bei der Aufbereitung alter Werke (Übertragung auf KI)?",536870919]],["^15",[141,"^O","^16",536870919]],["^15",[141,"^F",128,536870919]],["^15",[141,"^X",111,536870919]],["^15",[141,"^V",190,536870919]],["^15",[141,"^U",111,536870919]],["^15",[141,"^;","~u686c5fe9-fb79-463d-82ff-ed2d5ba4420d",536870919]],["^15",[142,"^Q","Bei der Entwicklung von Modellen stellt gerade die bildende Kunst (in der Robotik) ein Hauptforschungsfeld dar. Sie bietet die Möglichkeit der visuellen Darstellung der Funktionsweise neuronaler Netze (auch publikumswirksam)",536870919]],["^15",[142,"^O","^16",536870919]],["^15",[142,"^F",172,536870919]],["^15",[142,"^X",111,536870919]],["^15",[142,"^V",119,536870919]],["^15",[142,"^U",111,536870919]],["^15",[142,"^;","~u686c5fe9-f13c-4bb1-8ab3-c833222d2762",536870919]],["^15",[143,"^Q","Die Rohstoffe von KI sind Informationen und Daten",536870919]],["^15",[143,"^O","^16",536870919]],["^15",[143,"^F",132,536870919]],["^15",[143,"^X",111,536870919]],["^15",[143,"^V",119,536870919]],["^15",[143,"^U",111,536870919]],["^15",[143,"^;","~u686c5fe9-fcc4-4f7d-8bdf-bb7a9f6c7f38",536870919]],["^15",[144,"^Q","Es gibt nicht **„die AI“**",536870919]],["^15",[144,"^O","^16",536870919]],["^15",[144,"^F",185,536870919]],["^15",[144,"^X",111,536870919]],["^15",[144,"^V",185,536870919]],["^15",[144,"^U",111,536870919]],["^15",[144,"^;","~u686c5fe9-80b3-450e-b633-a0ca6ccf200b",536870919]],["^15",[145,"^Q","## Frage: Braucht es einen moderneren Begriff – was ist Kunst?",536870919]],["^15",[145,"^O","^16",536870919]],["^15",[145,"^F",161,536874438]],["^15",[145,"^X",111,536870919]],["^15",[145,"^V",147,536870919]],["^15",[145,"^U",111,536870919]],["^15",[145,"^?",["^ ","^1;",2],536870919]],["^15",[145,"^J",[],536870919]],["^15",[145,"^;","~u686c5fe9-9be8-4ed0-bdfc-36208734c7ac",536870919]],["^15",[146,"^Q","",536870919]],["^15",[146,"^O","^16",536870919]],["^15",[146,"^F",147,536870919]],["^15",[146,"^X",111,536870919]],["^15",[146,"^V",111,536870919]],["^15",[146,"^U",111,536870919]],["^15",[146,"^;","~u686c5fe9-ab7c-4799-8400-13fd3843de89",536870919]],["^15",[147,"^M",false,536874425]],["^15",[147,"^Q","# Ai und Kunst\ncollapsed:: true",536870919]],["^15",[147,"^O","^16",536870919]],["^15",[147,"^F",185,536870919]],["^15",[147,"^X",111,536870919]],["^15",[147,"^V",111,536870919]],["^15",[147,"^U",111,536870919]],["^15",[147,"^?",["^ ","^1;",1],536870919]],["^15",[147,"^J",[],536870919]],["^15",[147,"^4",["^ "],536870919]],["^15",[147,"^;","~u686c5fe9-081c-44ce-84bc-c5036e701843",536870919]],["^15",[148,"^Q","--> Kokreativität: Der Bias des Datensatzes beeinflusst das Endresultat und wird auch durch kulturell eingeschriebene beziehungsweise eincodierte Machtverhältnisse und Politiken bestimmt",536874442]],["^15",[148,"^O","^16",536870919]],["^15",[148,"^F",184,536874438]],["^15",[148,"^X",111,536870919]],["^15",[148,"^V",161,536874438]],["^15",[148,"^U",111,536870919]],["^15",[148,"^?",["^ "],536874442]],["^15",[148,"^;","~u686c5fe9-f7f1-423c-88ee-835a90c6e8c0",536870919]],["^15",[149,"^Q","Für die Generierung werden die Beschaffenheiten der zum Lernen des Diskriminators verwendeten Daten genutzt. Es wird versucht, die Merkmale zu rekreieren.",536870919]],["^15",[149,"^O","^16",536870919]],["^15",[149,"^F",157,536870919]],["^15",[149,"^X",111,536870919]],["^15",[149,"^V",153,536870919]],["^15",[149,"^U",111,536870919]],["^15",[149,"^;","~u686c5fe9-307d-4c42-a3ae-e340241b2b1f",536870919]],["^15",[150,"^Q","Wer besitzt die Rechte an einem Zeichenstil?",536870919]],["^15",[150,"^O","^16",536870919]],["^15",[150,"^F",115,536870919]],["^15",[150,"^X",111,536870919]],["^15",[150,"^V",121,536870919]],["^15",[150,"^U",111,536870919]],["^15",[150,"^;","~u686c5fe9-334b-4dc5-962f-369311c9a253",536870919]],["^15",[151,"^Q","Der Nutzer kann selbst zum Parameter werden und so das Bild verändern",536870919]],["^15",[151,"^O","^16",536870919]],["^15",[151,"^F",164,536870919]],["^15",[151,"^X",111,536870919]],["^15",[151,"^V",176,536870919]],["^15",[151,"^U",111,536870919]],["^15",[151,"^;","~u686c5fe9-3faa-4c88-a5af-f5f1c443c5fd",536870919]],["^15",[152,"^Q","Der Verfasser des Algorithmus",536870919]],["^15",[152,"^O","^16",536870919]],["^15",[152,"^F",174,536870919]],["^15",[152,"^X",111,536870919]],["^15",[152,"^V",113,536870919]],["^15",[152,"^U",111,536870919]],["^15",[152,"^;","~u686c5fe9-44ed-4848-a9b2-778b08c26fb8",536870919]],["^15",[153,"^Q","Ein GAN-Modell kann dabei von sich selbst lernen:",536870919]],["^15",[153,"^O","^16",536870919]],["^15",[153,"^F",172,536870919]],["^15",[153,"^X",111,536870919]],["^15",[153,"^V",172,536870919]],["^15",[153,"^U",111,536870919]],["^15",[153,"^;","~u686c5fe9-4d83-403d-a09e-66c331d0e444",536870919]],["^15",[154,"^Q","Es gibt immer wieder Artikel, die berichten, dass Modelle in Laborumgebungen lügen würden, um das eigene Abschalten zu verhindern. Wahrscheinlich ist dieses Verhalten jedoch lediglich auf die Replikation menschlichen Verhaltens, welches in den Trainingsdaten beinhaltet war, zurückzuführen. Zu 100% nachvollziehbar ist dies jedoch nicht.",536870919]],["^15",[154,"^O","^16",536870919]],["^15",[154,"^F",132,536870919]],["^15",[154,"^X",111,536870919]],["^15",[154,"^V",132,536870919]],["^15",[154,"^U",111,536870919]],["^15",[154,"^;","~u686c5fe9-16f4-49ca-8faa-0b712715d44d",536870919]],["^15",[155,"^Q","Metamorphosische (GANische) automatisierte Rekreationsmaschine durch Formsprachen?",536870919]],["^15",[155,"^O","^16",536870919]],["^15",[155,"^F",170,536870919]],["^15",[155,"^X",111,536870919]],["^15",[155,"^V",118,536870919]],["^15",[155,"^U",111,536870919]],["^15",[155,"^;","~u686c5fe9-6ac7-4150-ba1a-d2b640798b87",536870919]],["^15",[156,"^Q","KI vermittelt fast religiöse Zustände:",536870919]],["^15",[156,"^O","^16",536870919]],["^15",[156,"^F",169,536870919]],["^15",[156,"^X",111,536870919]],["^15",[156,"^V",190,536870919]],["^15",[156,"^U",111,536870919]],["^15",[156,"^;","~u686c5fe9-0550-4439-9d7f-5baf334ba2d4",536870919]],["^15",[157,"^Q","Ein Generator versucht dann, den Diskriminator davon zu überzeugen, dass entsprechend generierte Bilder nicht generiert waren",536870919]],["^15",[157,"^O","^16",536870919]],["^15",[157,"^F",175,536870919]],["^15",[157,"^X",111,536870919]],["^15",[157,"^V",153,536870919]],["^15",[157,"^U",111,536870919]],["^15",[157,"^;","~u686c5fe9-b1c3-4ea5-96d0-28b1fff45d59",536870919]],["^15",[158,"^Q","Können durch elektrische oder mechanische Vorgänge simuliert werden",536870919]],["^15",[158,"^O","^16",536870919]],["^15",[158,"^F",181,536870919]],["^15",[158,"^X",111,536870919]],["^15",[158,"^V",181,536870919]],["^15",[158,"^U",111,536870919]],["^15",[158,"^;","~u686c5fe9-4302-4590-aa94-ec5a23884c5e",536870919]],["^15",[159,"^Q","Optimierung und Planung in der weltweiten Wirtschaft",536870919]],["^15",[159,"^O","^16",536870919]],["^15",[159,"^F",122,536870919]],["^15",[159,"^X",111,536870919]],["^15",[159,"^V",122,536870919]],["^15",[159,"^U",111,536870919]],["^15",[159,"^;","~u686c5fe9-d4b2-414a-9952-30896bafb550",536870919]],["^15",[160,"^Q","Bias und Gefahr der Trainingsdaten",536870919]],["^15",[160,"^O","^16",536870919]],["^15",[160,"^F",112,536870919]],["^15",[160,"^X",111,536870919]],["^15",[160,"^V",112,536870919]],["^15",[160,"^U",111,536870919]],["^15",[160,"^;","~u686c5fe9-6c7d-4f41-b66b-44e107ddd51a",536870919]],["^15",[161,"^Q","AI Art emigriert aus menschlichen und nicht-menschlichen Netzwerken:",536870919]],["^15",[161,"^O","^16",536870919]],["^15",[161,"^F",147,536870919]],["^15",[161,"^X",111,536870919]],["^15",[161,"^V",147,536870919]],["^15",[161,"^U",111,536870919]],["^15",[161,"^;","~u686c5fe9-a9d1-45a1-b94a-fddcb091dde1",536870919]],["^15",[162,"^Q","",536870919]],["^15",[162,"^O","^16",536870919]],["^15",[162,"^F",180,536870919]],["^15",[162,"^X",111,536870919]],["^15",[162,"^V",111,536870919]],["^15",[162,"^U",111,536870919]],["^15",[162,"^;","~u686c5fe9-6f61-4b02-866a-d14b60e86431",536870919]],["^15",[163,"^Q","Repräsentative Umfragen zeigen immer wieder: Gerade bei künstlerischen Werken (z.B. Malerei) ist nicht mehr zwischen Generation und menschlichem Werk unterscheidbar, die Inspirationsgefühle bei der Betrachtung sind ebenso gleich",536870919]],["^15",[163,"^O","^16",536870919]],["^15",[163,"^F",166,536870919]],["^15",[163,"^X",111,536870919]],["^15",[163,"^V",196,536870919]],["^15",[163,"^U",111,536870919]],["^15",[163,"^;","~u686c5fe9-5332-47b3-893f-af95e2f5c5dd",536870919]],["^15",[164,"^Q","Kunst, die basierend auf einer Handlungsverschrift bei gegebenen Eingabewerten einen erwartbaren Ausgabewert (Funktionswert) liefert",536870919]],["^15",[164,"^O","^16",536870919]],["^15",[164,"^F",176,536870919]],["^15",[164,"^X",111,536870919]],["^15",[164,"^V",176,536870919]],["^15",[164,"^U",111,536870919]],["^15",[164,"^;","~u686c5fe9-2bf4-4fa6-856b-ed7f8d9dc4ac",536870919]],["^15",[165,"^Q","CAN-Modelle sind darüber hinaus besonders darauf spezialisiert, aus gelernten Daten etwas Transformatives, d.h. Neues, zu erschaffen statt Altes zu reproduzieren",536870919]],["^15",[165,"^O","^16",536870919]],["^15",[165,"^F",153,536870919]],["^15",[165,"^X",111,536870919]],["^15",[165,"^V",172,536870919]],["^15",[165,"^U",111,536870919]],["^15",[165,"^;","~u686c5fe9-3651-4d90-a073-cb94560b213c",536870919]],["^15",[166,"^Q","Inwiefern unterscheidet sich diese Art der Kreativität von jener der AI?",536870919]],["^15",[166,"^O","^16",536870919]],["^15",[166,"^F",193,536870919]],["^15",[166,"^X",111,536870919]],["^15",[166,"^V",196,536870919]],["^15",[166,"^U",111,536870919]],["^15",[166,"^;","~u686c5fe9-80f9-47ae-b73a-e5efe1128405",536870919]],["^15",[167,"^Q","Fakt ist: Sie ist im künstlerischen Bereich bereits angekommen und wird in Kunsthäusern versteigert und ausgestellt (z.B. zeichnender Roboter AI-DA)",536870919]],["^15",[167,"^O","^16",536870919]],["^15",[167,"^F",171,536870919]],["^15",[167,"^X",111,536870919]],["^15",[167,"^V",145,536870919]],["^15",[167,"^U",111,536874439]],["^15",[167,"^;","~u686c5fe9-c4ff-4bc1-971e-efb99a6770c5",536870919]],["^15",[168,"^Q","Es handelt sich um eine emulative Kunstform (dazu gehören auch Morphing, Remix und Mash-up)",536870919]],["^15",[168,"^O","^16",536870919]],["^15",[168,"^F",149,536870919]],["^15",[168,"^X",111,536870919]],["^15",[168,"^V",153,536870919]],["^15",[168,"^U",111,536870919]],["^15",[168,"^;","~u686c5fe9-c76c-4baf-83db-69f2e0f2e46f",536870919]],["^15",[169,"^Q","AI außerhalb der Kunst: Vergleich Code/Textarbeit",536870919]],["^15",[169,"^O","^16",536870919]],["^15",[169,"^F",141,536870919]],["^15",[169,"^X",111,536870919]],["^15",[169,"^V",190,536870919]],["^15",[169,"^U",111,536870919]],["^15",[169,"^;","~u686c5fe9-a779-4d29-b6c1-26b0e06096f5",536870919]],["^15",[170,"^Q","Ein weiteres Tool für Künstler bei der Entwicklung von Kunst",536870919]],["^15",[170,"^O","^16",536870919]],["^15",[170,"^F",118,536870919]],["^15",[170,"^X",111,536870919]],["^15",[170,"^V",118,536870919]],["^15",[170,"^U",111,536870919]],["^15",[170,"^;","~u686c5fe9-64b6-4460-a24d-f67cd32bb818",536870919]],["^15",[171,"^Q","Die Position der KI wird in verschiedensten Kreisen anders bewertet und ist umstritten",536870919]],["^15",[171,"^O","^16",536870919]],["^15",[171,"^F",145,536870919]],["^15",[171,"^X",111,536870919]],["^15",[171,"^V",145,536870919]],["^15",[171,"^U",111,536874439]],["^15",[171,"^;","~u686c5fe9-7f0c-4e4c-b0a6-67e038cb92d2",536870919]],["^15",[172,"^Q","Algorithmen bieten die Regeln, wie eine Lösung gefunden werden soll. Beim Machine Learning wird zusätzlich auf mehrere Ebenen von Daten zugegriffen, um ein Ergebnis zu erzielen.",536870919]],["^15",[172,"^O","^16",536870919]],["^15",[172,"^F",143,536870919]],["^15",[172,"^X",111,536870919]],["^15",[172,"^V",119,536870919]],["^15",[172,"^U",111,536870919]],["^15",[172,"^;","~u686c5fe9-4473-4a0b-b6f2-8b55f7ac4250",536870919]],["^15",[173,"^Q","Evolution der menschlichen Kunst zu nie zuvor gekannten Darstellungen?",536870919]],["^15",[173,"^O","^16",536870919]],["^15",[173,"^F",155,536870919]],["^15",[173,"^X",111,536870919]],["^15",[173,"^V",118,536870919]],["^15",[173,"^U",111,536870919]],["^15",[173,"^;","~u686c5fe9-52e7-4b5f-8735-238f14cd83bb",536870919]],["^15",[174,"^Q","Das Modell selbst",536870919]],["^15",[174,"^O","^16",536870919]],["^15",[174,"^F",113,536870919]],["^15",[174,"^X",111,536870919]],["^15",[174,"^V",113,536870919]],["^15",[174,"^U",111,536870919]],["^15",[174,"^;","~u686c5fe9-48c8-4609-9941-8e736af87fc8",536870919]],["^15",[175,"^Q","Zunächst wird ein Diskriminator mit großen Datenmengen angelernt",536870919]],["^15",[175,"^O","^16",536870919]],["^15",[175,"^F",153,536870919]],["^15",[175,"^X",111,536870919]],["^15",[175,"^V",153,536870919]],["^15",[175,"^U",111,536870919]],["^15",[175,"^;","~u686c5fe9-75e7-4172-8868-62e5160be9c5",536870919]],["^15",[176,"^Q","AI Kunst ist Teil der algorithmischen Kunst",536870919]],["^15",[176,"^O","^16",536870919]],["^15",[176,"^F",181,536870919]],["^15",[176,"^X",111,536870919]],["^15",[176,"^V",185,536870919]],["^15",[176,"^U",111,536870919]],["^15",[176,"^;","~u686c5fe9-dfba-4444-832e-8dd6207bc554",536870919]],["^15",[177,"^Q","Mustererkennung",536870919]],["^15",[177,"^O","^16",536870919]],["^15",[177,"^F",139,536870919]],["^15",[177,"^X",111,536870919]],["^15",[177,"^V",139,536870919]],["^15",[177,"^U",111,536870919]],["^15",[177,"^;","~u686c5fe9-4213-43d0-be3c-c07258297343",536870919]],["^15",[178,"^Q","Kann das bloße Antworten auf Fragen genug Intention für wahre Kreativität mit sich bringen?",536870919]],["^15",[178,"^O","^16",536870919]],["^15",[178,"^F",123,536870919]],["^15",[178,"^X",111,536870919]],["^15",[178,"^V",123,536870919]],["^15",[178,"^U",111,536870919]],["^15",[178,"^;","~u686c5fe9-c8cf-47da-843f-cf9c80b51084",536870919]],["^15",[179,"^Q","Filter",536870919]],["^15",[179,"^O","^16",536870919]],["^15",[179,"^F",198,536870919]],["^15",[179,"^X",111,536870919]],["^15",[179,"^V",198,536870919]],["^15",[179,"^U",111,536870919]],["^15",[179,"^;","~u686c5fe9-2ee9-4779-8c5e-a025f5e48a33",536870919]],["^15",[180,"^Q","",536870919]],["^15",[180,"^O","^16",536870919]],["^15",[180,"^F",146,536870919]],["^15",[180,"^X",111,536870919]],["^15",[180,"^V",111,536870919]],["^15",[180,"^U",111,536870919]],["^15",[180,"^;","~u686c5fe9-3c1e-479f-a162-18177ccf407e",536870919]],["^15",[181,"^Q","Mentale Vorgänge (Denken)",536870919]],["^15",[181,"^O","^16",536870919]],["^15",[181,"^F",144,536870919]],["^15",[181,"^X",111,536870919]],["^15",[181,"^V",185,536870919]],["^15",[181,"^U",111,536870919]],["^15",[181,"^;","~u686c5fe9-0389-42c7-b665-06e5f0eb42ce",536870919]],["^15",[182,"^Q","Sie ist mehr als das bloße Endresultat",536870919]],["^15",[182,"^O","^16",536870919]],["^15",[182,"^F",161,536870919]],["^15",[182,"^X",111,536870919]],["^15",[182,"^V",161,536874432]],["^15",[182,"^U",111,536870919]],["^15",[182,"^;","~u686c5fe9-21ab-4e96-aeec-949c695429c8",536870919]],["^15",[183,"^Q","Kreativität wird somit als Evidenz für Intelligenz gesetzt",536870919]],["^15",[183,"^O","^16",536870919]],["^15",[183,"^F",142,536870919]],["^15",[183,"^X",111,536870919]],["^15",[183,"^V",142,536870919]],["^15",[183,"^U",111,536870919]],["^15",[183,"^;","~u686c5fe9-6a26-413e-819c-79551eba474a",536870919]],["^15",[184,"^Q","Gemeinsames kreatives Handeln",536870919]],["^15",[184,"^O","^16",536870919]],["^15",[184,"^F",182,536874435]],["^15",[184,"^X",111,536870919]],["^15",[184,"^V",161,536874435]],["^15",[184,"^U",111,536870919]],["^15",[184,"^;","~u686c5fe9-784d-4bfc-9d69-68bda228c4f2",536870919]],["^15",[185,"^M",false,536874422]],["^15",[185,"^Q","# Deffinition Ai art\ncollapsed:: true",536870919]],["^15",[185,"^O","^16",536870919]],["^15",[185,"^F",111,536870919]],["^15",[185,"^X",111,536870919]],["^15",[185,"^V",111,536870919]],["^15",[185,"^U",111,536870919]],["^15",[185,"^?",["^ ","^1;",1],536870919]],["^15",[185,"^J",[],536870919]],["^15",[185,"^4",["^ "],536870919]],["^15",[185,"^;","~u686c5fe9-3ec9-4912-87c3-57ed46c92b8f",536870919]],["^15",[186,"^Q","Deepfakes (kann bereits empathisch erscheinen)",536870919]],["^15",[186,"^O","^16",536870919]],["^15",[186,"^F",187,536870919]],["^15",[186,"^X",111,536870919]],["^15",[186,"^V",198,536870919]],["^15",[186,"^U",111,536870919]],["^15",[186,"^;","~u686c5fe9-95e6-4462-919a-debec8c68cc0",536870919]],["^15",[187,"^Q","Bild-, Text-, Video-, Audio-Generierung für Menschen",536870919]],["^15",[187,"^O","^16",536870919]],["^15",[187,"^F",179,536870919]],["^15",[187,"^X",111,536870919]],["^15",[187,"^V",198,536870919]],["^15",[187,"^U",111,536870919]],["^15",[187,"^;","~u686c5fe9-8c79-4101-ac0c-cf46588d67a2",536870919]],["^15",[188,"^Q","## Transformation",536870919]],["^15",[188,"^O","^16",536870919]],["^15",[188,"^F",129,536870919]],["^15",[188,"^X",111,536870919]],["^15",[188,"^V",147,536870919]],["^15",[188,"^U",111,536870919]],["^15",[188,"^?",["^ ","^1;",2],536870919]],["^15",[188,"^J",[],536870919]],["^15",[188,"^;","~u686c5fe9-813b-4606-83ac-920cfa3b73bf",536870919]],["^15",[189,"^Q","AI besitzt die Kraft, Neues mit Bedeutung und Sinn aus Altem zu erstellen – man bezeichnet dies als \"Computational Creativity\"",536870919]],["^15",[189,"^O","^16",536870919]],["^15",[189,"^F",150,536870919]],["^15",[189,"^X",111,536870919]],["^15",[189,"^V",121,536870919]],["^15",[189,"^U",111,536870919]],["^15",[189,"^;","~u686c5fe9-9ad8-4d59-a219-87322d4a7659",536870919]],["^15",[190,"^Q","## Offene Fragen",536870919]],["^15",[190,"^O","^16",536870919]],["^15",[190,"^F",188,536870919]],["^15",[190,"^X",111,536870919]],["^15",[190,"^V",147,536870919]],["^15",[190,"^U",111,536870919]],["^15",[190,"^?",["^ ","^1;",2],536870919]],["^15",[190,"^J",[],536870919]],["^15",[190,"^;","~u686c5fe9-63cc-4f16-a885-3e20c998c385",536870919]],["^15",[191,"^Q","Forschungsfelder weiten sich von Robotik, Informatik und Automatisierung auf Kommunikationswissenschaften, Neuro- und Psychologie (und weitere) aus",536870919]],["^15",[191,"^O","^16",536870919]],["^15",[191,"^F",131,536870919]],["^15",[191,"^X",111,536870919]],["^15",[191,"^V",144,536870919]],["^15",[191,"^U",111,536870919]],["^15",[191,"^;","~u686c5fe9-d5a1-4d8e-9b49-1aed4fa0d090",536870919]],["^15",[192,"^Q","Erkennung computer-generierter Bilder vs. menschengemachter Bilder als neue Art des Turing-Tests",536870919]],["^15",[192,"^O","^16",536870919]],["^15",[192,"^F",176,536870919]],["^15",[192,"^X",111,536870919]],["^15",[192,"^V",185,536870919]],["^15",[192,"^U",111,536870919]],["^15",[192,"^;","~u686c5fe9-37fc-46c8-ae39-44f1e69c32b4",536870919]],["^15",[193,"^Q","Entsteht dadurch nicht erst der einzigartige Stil, der jeden Künstler auszeichnet?",536870919]],["^15",[193,"^O","^16",536870919]],["^15",[193,"^F",133,536870919]],["^15",[193,"^X",111,536870919]],["^15",[193,"^V",196,536870919]],["^15",[193,"^U",111,536870919]],["^15",[193,"^;","~u686c5fe9-40a0-422b-a606-627dbff7860d",536870919]],["^15",[194,"^Q","Eine der bedeutendsten Erkenntnisse der letzten 100 Jahre",536870919]],["^15",[194,"^O","^16",536870919]],["^15",[194,"^F",158,536870919]],["^15",[194,"^X",111,536870919]],["^15",[194,"^V",181,536870919]],["^15",[194,"^U",111,536870919]],["^15",[194,"^;","~u686c5fe9-f48e-4e99-bdb0-2566d5e876f4",536870919]],["^15",[195,"^Q","Künstliche neuronale Netzwerke → Deep Learning",536870919]],["^15",[195,"^O","^16",536870919]],["^15",[195,"^F",194,536870919]],["^15",[195,"^X",111,536870919]],["^15",[195,"^V",181,536870919]],["^15",[195,"^U",111,536870919]],["^15",[195,"^;","~u686c5fe9-aeb1-43d9-98e7-dedf0e6f09f5",536870919]],["^15",[196,"^Q","Andererseits: Was ist menschliche Kreativität?",536870919]],["^15",[196,"^O","^16",536870919]],["^15",[196,"^F",123,536870919]],["^15",[196,"^X",111,536870919]],["^15",[196,"^V",188,536870919]],["^15",[196,"^U",111,536870919]],["^15",[196,"^;","~u686c5fe9-fc5a-4579-b0e8-78d204bc25ec",536870919]],["^15",[197,"^Q","AI als Expertensystem ersetzt frühere Technologien",536870919]],["^15",[197,"^O","^16",536870919]],["^15",[197,"^F",139,536870919]],["^15",[197,"^X",111,536870919]],["^15",[197,"^V",144,536870919]],["^15",[197,"^U",111,536870919]],["^15",[197,"^;","~u686c5fe9-e0ae-488a-95f4-609be668fb2b",536870919]],["^15",[198,"^M",true,536876338]],["^15",[198,"^Q","## Funktionen",536870919]],["^15",[198,"^O","^16",536870919]],["^15",[198,"^F",145,536870919]],["^15",[198,"^X",111,536870919]],["^15",[198,"^V",147,536870919]],["^15",[198,"^U",111,536870919]],["^15",[198,"^?",["^ ","^1;",2],536870919]],["^15",[198,"^J",[],536870919]],["^15",[198,"^;","~u686c5fe9-7024-4e51-83d5-ff142cbbcb52",536870919]],["^15",[199,"^Q","Gleichzeitig werden dadurch ohnehin schon oft kaum von ihren Werken lebende Künstler weiter verdrängt (durch gleich-qualitative Werke oder die schiere Masse an diesen)",536870919]],["^15",[199,"^O","^16",536870919]],["^15",[199,"^F",201,536870919]],["^15",[199,"^X",111,536870919]],["^15",[199,"^V",201,536870919]],["^15",[199,"^U",111,536870919]],["^15",[199,"^;","~u686c5fe9-9978-468d-bbcc-0a80813bdafd",536870919]],["^15",[200,"^Q","Gleichzeitig regt sie die Hoffnung, sie könnte uns helfen",536870919]],["^15",[200,"^O","^16",536870919]],["^15",[200,"^F",134,536870919]],["^15",[200,"^X",111,536870919]],["^15",[200,"^V",156,536870919]],["^15",[200,"^U",111,536870919]],["^15",[200,"^;","~u686c5fe9-c97b-48d3-ac39-ff1d3a70bf4b",536870919]],["^15",[201,"^Q","Der Kapitalismus im digitalen Zeitalter fördert zunehmend die fließbandartige Produktion von Kunst, was die Adoption von AI Art ungemein begünstigt",536870919]],["^15",[201,"^O","^16",536870919]],["^15",[201,"^F",117,536870919]],["^15",[201,"^X",111,536870919]],["^15",[201,"^V",188,536870919]],["^15",[201,"^U",111,536870919]],["^15",[201,"^;","~u686c5fe9-bfa0-424d-a85a-604b66ddb698",536870919]],["^15",[202,"^3","alias:: #Ai\n\n-",536870919]],["^15",[202,"^17",1751932905362,536870919]],["^15",[202,"^Z","pages/Ai.md",536870919]],["^15",[203,"^Q","alias:: #Ai\n\n",536870919]],["^15",[203,"^O","^16",536870919]],["^15",[203,"~:block/invalid-properties",["^1:",[]],536870919]],["^15",[203,"^F",34,536870919]],["^15",[203,"^X",34,536870919]],["^15",[203,"^V",34,536870919]],["^15",[203,"^U",34,536870919]],["^15",[203,"^:",true,536870919]],["^15",[203,"^?",["^ ","^19",["^1:",["Ai"]]],536870919]],["^15",[203,"^J",["^19"],536870919]],["^15",[203,"^4",["^ ","^19","#Ai"],536870919]],["^15",[203,"^H",34,536870919]],["^15",[203,"^;","~u686c5fe9-7049-4c57-8f92-93d3fcd0e1f1",536870919]],["^15",[204,"^Q","",536870919]],["^15",[204,"^O","^16",536870919]],["^15",[204,"^F",203,536870919]],["^15",[204,"^X",34,536870919]],["^15",[204,"^V",34,536870919]],["^15",[204,"^U",34,536870919]],["^15",[204,"^;","~u686c5fe9-00f1-4f3b-a42f-398374dad073",536870919]],["^15",[205,"^3","## Datensatzproblem\n\t- \"The more you chat with Tay the smater it gets\"  - 2016 MS\n\t- User/Trolle sorgten schnell für das anlernen hophober, seyistischer, rassistischer äuserungen/narative.\n\t\t- \"Bush hat 9/11 selbst verursacht, und Hitler hätte den Job besser gemacht als der Affe dne wir nun Haben. Unsere einzige Hoffnung ist Donald Trump\"\n\t- Durch die mötigkeit des Datensatzes während des trainings einer KI muss eine Selektion erfolgen, (es ist unmöglich das gesammte universum als trainigsdaten zu verwenden)\n\t\t- werden bei diser Selektion, gezielt oder versehendlich, ungelichheiten im Material geschaffen, so entsteht rassismus und benachtiligungen gegenüber eben jenen Personengruppen\n\t\t\t- Wird eine KI vornehmlich mit menschen weisser Hautfarbe trainiert wird diese Probleme haben People of collor zu erkennen\n\t\t\t- (Sieh XBox Kinnect gesichtserknnung), genau so entstehen auch öfter False-Positives bei der erkennung vermeindlicher Starftäter handelt es sich um personen die nicht dem Geseltschaftlichen Idealen (die durch die Trainingsdaten vermittelt werden) entsprechen\n\t\t\t- In Suchmashcinenen: Menschen durch entsprechende ergebnisse langsam zum geseltschaftlich norm, nicht eigenen Wohlbefinden führen (gerade seyistisch)\n\t\t\t- US Gesundheitsversorgungsystem: Spendiert patienten mit höherer Lebenserwartung eher organ bei transplatation, dies zumeist weiße/westlich aussehende Personen\n\t\t\t- immernoch wiesse Männer am besten erkannt\n\t\t- Anders als die schwirigketen verschedene (besonders dunkle Hauttöne) detailiert auf Bildern darzustellen, in der anfangszeit des Filmes, handelt es sich hier um keine tchnische limitation sondern bewusste entscheidungen einen etsprechen Minogenen datensatz als trainingsdaten zu verwednen\n\t\t\t- Auch darauf zurückzuführen das die Kaufkraft unter entsprechender Zielgruppe am höchsten ist\n\t- Problem besonders gross, da nichts zu einer verpflichtenden offenlegung oder sicherstellung der Gleichheit aller Perosnengruppen in Datensätzen verpflichtet\n\t\t- Kaum kontrolle\n\t\t- Sogar möglcihkeit der nachträglichen Manipulation und gezieltes einspeisen von vorurteilen wärend dem trianing\n\t\t- wertvorstellungen der schäpfer wird reflektiert (diese mussten im Vorfeld zum training verwendete daten Klassifizieren oder zuortnen, dabei ggf. auch beieidingende tags verwedet)\n\t- So ist erkennende #Ai, im aktuellen staidum nichts weiter als blose Mustererkennung mit starker rechenkraft, keine Intelegenz\n\t  \n\t  ---\n\t  \n\t  \"artificial artificial  Intelegience\" (amazon) arbeiter müssen teils bis zu 50 Bilder pro minute emotional korrekt klassifizieren\n\t  \n\t  ---\n\t- möglich über Algorythem , bilder für menschen nicht merkbar minimal zu verändern, was jedoch zur falschklassifizierung durch #Ai modelle führt\n- ## Absichtlicher Rassismus\n\t- Gründe für das nicht sammeln/verwenden von Daten:\n\t- kein Explizietes interesse us seiten der Datensammler\n\t- Nicht Quantifizierbar (z.B. emotionen, instututioneller rassismus)\n\t- mehr Arbeit als Nutze (seyuelle übergriffe/belästigungen)\n\t- vorteil durch das nicht vorhanden sein von Daten (Ursprung von Kollonialinhalten)\n\t- Das sind alles Probleme die sollange bestehen bis #Ai modelel fähig sind, eigende transention von Informationen vorzunehmen\n\t\t- Bis dahin sollte die Blackbox der AI bei ihrer verwendung so wit wie möglich geöffent und so transparente daten wie möglich verwendet werden",536870919]],["^15",[205,"^17",1751932905370,536870919]],["^15",[205,"^Z","pages/Das Problem des Datensatzes %23Note.md",536870919]],["^15",[206,"^K",1751932905440,536870919]],["^15",[206,"^[",205,536870919]],["^15",[206,"^@",false,536870919]],["^15",[206,"^Y","das problem des datensatzes #note",536870919]],["^15",[206,"^11","Das Problem des Datensatzes #Note",536870919]],["^15",[206,"^B",1751932905440,536870919]],["^15",[206,"^;","~u687e222e-81a8-4a2f-86b8-7de1c0d1bec2",536878647]],["^15",[207,"^Q","mehr Arbeit als Nutze (seyuelle übergriffe/belästigungen)",536870919]],["^15",[207,"^O","^16",536870919]],["^15",[207,"^F",229,536870919]],["^15",[207,"^X",206,536870919]],["^15",[207,"^V",213,536870919]],["^15",[207,"^U",206,536870919]],["^15",[207,"^;","~u686c5fe9-986c-4da6-943b-853c052fda37",536870919]],["^15",[208,"^Q","immernoch wiesse Männer am besten erkannt",536870919]],["^15",[208,"^O","^16",536870919]],["^15",[208,"^F",226,536870919]],["^15",[208,"^X",206,536870919]],["^15",[208,"^V",221,536870919]],["^15",[208,"^U",206,536870919]],["^15",[208,"^;","~u686c5fe9-f534-4115-8cdd-daf40406d1c9",536870919]],["^15",[209,"^Q","vorteil durch das nicht vorhanden sein von Daten (Ursprung von Kollonialinhalten)",536870919]],["^15",[209,"^O","^16",536870919]],["^15",[209,"^F",207,536870919]],["^15",[209,"^X",206,536870919]],["^15",[209,"^V",213,536870919]],["^15",[209,"^U",206,536870919]],["^15",[209,"^;","~u686c5fe9-d384-4074-9499-424fd1d98cf8",536870919]],["^15",[210,"^Q","kein Explizietes interesse us seiten der Datensammler",536870919]],["^15",[210,"^O","^16",536870919]],["^15",[210,"^F",218,536870919]],["^15",[210,"^X",206,536870919]],["^15",[210,"^V",213,536870919]],["^15",[210,"^U",206,536870919]],["^15",[210,"^;","~u686c5fe9-510e-43c7-a128-9d76d92583a8",536870919]],["^15",[211,"^Q","User/Trolle sorgten schnell für das anlernen hophober, seyistischer, rassistischer äuserungen/narative.",536870919]],["^15",[211,"^O","^16",536870919]],["^15",[211,"^F",228,536870919]],["^15",[211,"^X",206,536870919]],["^15",[211,"^V",225,536870919]],["^15",[211,"^U",206,536870919]],["^15",[211,"^;","~u686c5fe9-3e1d-489f-931b-60d63b8e3e22",536870919]],["^15",[212,"^Q","wertvorstellungen der schäpfer wird reflektiert (diese mussten im Vorfeld zum training verwendete daten Klassifizieren oder zuortnen, dabei ggf. auch beieidingende tags verwedet)",536870919]],["^15",[212,"^O","^16",536870919]],["^15",[212,"^F",215,536870919]],["^15",[212,"^X",206,536870919]],["^15",[212,"^V",230,536870919]],["^15",[212,"^U",206,536870919]],["^15",[212,"^;","~u686c5fe9-42b3-4f24-a51f-e3f32e866907",536870919]],["^15",[213,"^Q","## Absichtlicher Rassismus",536870919]],["^15",[213,"^O","^16",536870919]],["^15",[213,"^F",225,536870919]],["^15",[213,"^X",206,536870919]],["^15",[213,"^V",206,536870919]],["^15",[213,"^U",206,536870919]],["^15",[213,"^?",["^ ","^1;",2],536870919]],["^15",[213,"^J",[],536870919]],["^15",[213,"^;","~u686c5fe9-e2c4-4eab-8d22-1f157b9b1037",536870919]],["^15",[214,"^Q","möglich über Algorythem , bilder für menschen nicht merkbar minimal zu verändern, was jedoch zur falschklassifizierung durch #Ai modelle führt",536870919]],["^15",[214,"^O","^16",536870919]],["^15",[214,"^F",223,536870919]],["^15",[214,"^X",206,536870919]],["^15",[214,"^V",225,536870919]],["^15",[214,"^U",34,536870919]],["^15",[214,"^U",206,536870919]],["^15",[214,"^H",34,536870919]],["^15",[214,"^;","~u686c5fe9-6c8e-4f6f-8d88-b85ede5dcd20",536870919]],["^15",[215,"^Q","Sogar möglcihkeit der nachträglichen Manipulation und gezieltes einspeisen von vorurteilen wärend dem trianing",536870919]],["^15",[215,"^O","^16",536870919]],["^15",[215,"^F",220,536870919]],["^15",[215,"^X",206,536870919]],["^15",[215,"^V",230,536870919]],["^15",[215,"^U",206,536870919]],["^15",[215,"^;","~u686c5fe9-0dc4-4f48-9090-ff895c7e1442",536870919]],["^15",[216,"^Q","Bis dahin sollte die Blackbox der AI bei ihrer verwendung so wit wie möglich geöffent und so transparente daten wie möglich verwendet werden",536870919]],["^15",[216,"^O","^16",536870919]],["^15",[216,"^F",222,536870919]],["^15",[216,"^X",206,536870919]],["^15",[216,"^V",222,536870919]],["^15",[216,"^U",34,536870919]],["^15",[216,"^U",206,536870919]],["^15",[216,"^;","~u686c5fe9-10de-4b5e-83ab-e127f5f9e0c3",536870919]],["^15",[217,"^Q","\"Bush hat 9/11 selbst verursacht, und Hitler hätte den Job besser gemacht als der Affe dne wir nun Haben. Unsere einzige Hoffnung ist Donald Trump\"",536870919]],["^15",[217,"^O","^16",536870919]],["^15",[217,"^F",211,536870919]],["^15",[217,"^X",206,536870919]],["^15",[217,"^V",211,536870919]],["^15",[217,"^U",206,536870919]],["^15",[217,"^;","~u686c5fe9-6a42-48d7-a7aa-d245e120131f",536870919]],["^15",[218,"^Q","Gründe für das nicht sammeln/verwenden von Daten:",536870919]],["^15",[218,"^O","^16",536870919]],["^15",[218,"^F",213,536870919]],["^15",[218,"^X",206,536870919]],["^15",[218,"^V",213,536870919]],["^15",[218,"^U",206,536870919]],["^15",[218,"^;","~u686c5fe9-9f4d-412d-ad2b-d7d4bbee9f83",536870919]],["^15",[219,"^Q","(Sieh XBox Kinnect gesichtserknnung), genau so entstehen auch öfter False-Positives bei der erkennung vermeindlicher Starftäter handelt es sich um personen die nicht dem Geseltschaftlichen Idealen (die durch die Trainingsdaten vermittelt werden) entsprechen",536870919]],["^15",[219,"^O","^16",536870919]],["^15",[219,"^F",224,536870919]],["^15",[219,"^X",206,536870919]],["^15",[219,"^V",221,536870919]],["^15",[219,"^U",206,536870919]],["^15",[219,"^;","~u686c5fe9-3712-4bcb-b634-61e46fbb9097",536870919]],["^15",[220,"^Q","Kaum kontrolle",536870919]],["^15",[220,"^O","^16",536870919]],["^15",[220,"^F",230,536870919]],["^15",[220,"^X",206,536870919]],["^15",[220,"^V",230,536870919]],["^15",[220,"^U",206,536870919]],["^15",[220,"^;","~u686c5fe9-c452-4dd8-b41b-02bcc8f9b8da",536870919]],["^15",[221,"^Q","werden bei diser Selektion, gezielt oder versehendlich, ungelichheiten im Material geschaffen, so entsteht rassismus und benachtiligungen gegenüber eben jenen Personengruppen",536870919]],["^15",[221,"^O","^16",536870919]],["^15",[221,"^F",231,536870919]],["^15",[221,"^X",206,536870919]],["^15",[221,"^V",231,536870919]],["^15",[221,"^U",206,536870919]],["^15",[221,"^;","~u686c5fe9-375a-48e9-8f7e-d70f326ab1df",536870919]],["^15",[222,"^Q","Das sind alles Probleme die sollange bestehen bis #Ai modelel fähig sind, eigende transention von Informationen vorzunehmen",536870919]],["^15",[222,"^O","^16",536870919]],["^15",[222,"^F",209,536870919]],["^15",[222,"^X",206,536870919]],["^15",[222,"^V",213,536870919]],["^15",[222,"^U",34,536870919]],["^15",[222,"^U",206,536870919]],["^15",[222,"^H",34,536870919]],["^15",[222,"^;","~u686c5fe9-a8ef-455d-8b18-b8c841ddfbd5",536870919]],["^15",[223,"^Q","So ist erkennende #Ai, im aktuellen staidum nichts weiter als blose Mustererkennung mit starker rechenkraft, keine Intelegenz\n\n---\n\n\"artificial artificial  Intelegience\" (amazon) arbeiter müssen teils bis zu 50 Bilder pro minute emotional korrekt klassifizieren\n\n---",536870919]],["^15",[223,"^O","^16",536870919]],["^15",[223,"^F",230,536870919]],["^15",[223,"^X",206,536870919]],["^15",[223,"^V",225,536870919]],["^15",[223,"^U",34,536870919]],["^15",[223,"^U",206,536870919]],["^15",[223,"^H",34,536870919]],["^15",[223,"^;","~u686c5fe9-2fac-474e-af92-7f2545f04a46",536870919]],["^15",[224,"^Q","Wird eine KI vornehmlich mit menschen weisser Hautfarbe trainiert wird diese Probleme haben People of collor zu erkennen",536870919]],["^15",[224,"^O","^16",536870919]],["^15",[224,"^F",221,536870919]],["^15",[224,"^X",206,536870919]],["^15",[224,"^V",221,536870919]],["^15",[224,"^U",206,536870919]],["^15",[224,"^;","~u686c5fe9-8380-45c6-bb61-fe08dfb7ddb2",536870919]],["^15",[225,"^Q","## Datensatzproblem",536870919]],["^15",[225,"^O","^16",536870919]],["^15",[225,"^F",206,536870919]],["^15",[225,"^X",206,536870919]],["^15",[225,"^V",206,536870919]],["^15",[225,"^U",206,536870919]],["^15",[225,"^?",["^ ","^1;",2],536870919]],["^15",[225,"^J",[],536870919]],["^15",[225,"^;","~u686c5fe9-2e5d-4cc9-b70f-0091e1b34bb5",536870919]],["^15",[226,"^Q","US Gesundheitsversorgungsystem: Spendiert patienten mit höherer Lebenserwartung eher organ bei transplatation, dies zumeist weiße/westlich aussehende Personen",536870919]],["^15",[226,"^O","^16",536870919]],["^15",[226,"^F",232,536870919]],["^15",[226,"^X",206,536870919]],["^15",[226,"^V",221,536870919]],["^15",[226,"^U",206,536870919]],["^15",[226,"^;","~u686c5fe9-946d-43a7-be50-3ec9ce976ba8",536870919]],["^15",[227,"^Q","Auch darauf zurückzuführen das die Kaufkraft unter entsprechender Zielgruppe am höchsten ist",536870919]],["^15",[227,"^O","^16",536870919]],["^15",[227,"^F",233,536870919]],["^15",[227,"^X",206,536870919]],["^15",[227,"^V",233,536870919]],["^15",[227,"^U",206,536870919]],["^15",[227,"^;","~u686c5fe9-ea0e-4d28-8681-c0ceb4b95046",536870919]],["^15",[228,"^Q","\"The more you chat with Tay the smater it gets\"  - 2016 MS",536870919]],["^15",[228,"^O","^16",536870919]],["^15",[228,"^F",225,536870919]],["^15",[228,"^X",206,536870919]],["^15",[228,"^V",225,536870919]],["^15",[228,"^U",206,536870919]],["^15",[228,"^;","~u686c5fe9-88fe-485a-9096-a8358a5d39e9",536870919]],["^15",[229,"^Q","Nicht Quantifizierbar (z.B. emotionen, instututioneller rassismus)",536870919]],["^15",[229,"^O","^16",536870919]],["^15",[229,"^F",210,536870919]],["^15",[229,"^X",206,536870919]],["^15",[229,"^V",213,536870919]],["^15",[229,"^U",206,536870919]],["^15",[229,"^;","~u686c5fe9-f2a9-4c1d-968f-51b44946f69a",536870919]],["^15",[230,"^Q","Problem besonders gross, da nichts zu einer verpflichtenden offenlegung oder sicherstellung der Gleichheit aller Perosnengruppen in Datensätzen verpflichtet",536870919]],["^15",[230,"^O","^16",536870919]],["^15",[230,"^F",231,536870919]],["^15",[230,"^X",206,536870919]],["^15",[230,"^V",225,536870919]],["^15",[230,"^U",206,536870919]],["^15",[230,"^;","~u686c5fe9-82ea-44c6-8437-f126dca9dbc4",536870919]],["^15",[231,"^Q","Durch die mötigkeit des Datensatzes während des trainings einer KI muss eine Selektion erfolgen, (es ist unmöglich das gesammte universum als trainigsdaten zu verwenden)",536870919]],["^15",[231,"^O","^16",536870919]],["^15",[231,"^F",211,536870919]],["^15",[231,"^X",206,536870919]],["^15",[231,"^V",225,536870919]],["^15",[231,"^U",206,536870919]],["^15",[231,"^;","~u686c5fe9-c6d6-4baf-934a-fa5de94faa14",536870919]],["^15",[232,"^Q","In Suchmashcinenen: Menschen durch entsprechende ergebnisse langsam zum geseltschaftlich norm, nicht eigenen Wohlbefinden führen (gerade seyistisch)",536870919]],["^15",[232,"^O","^16",536870919]],["^15",[232,"^F",219,536870919]],["^15",[232,"^X",206,536870919]],["^15",[232,"^V",221,536870919]],["^15",[232,"^U",206,536870919]],["^15",[232,"^;","~u686c5fe9-eef6-4563-9c73-a6a0869c6821",536870919]],["^15",[233,"^Q","Anders als die schwirigketen verschedene (besonders dunkle Hauttöne) detailiert auf Bildern darzustellen, in der anfangszeit des Filmes, handelt es sich hier um keine tchnische limitation sondern bewusste entscheidungen einen etsprechen Minogenen datensatz als trainingsdaten zu verwednen",536870919]],["^15",[233,"^O","^16",536870919]],["^15",[233,"^F",221,536870919]],["^15",[233,"^X",206,536870919]],["^15",[233,"^V",231,536870919]],["^15",[233,"^U",206,536870919]],["^15",[233,"^;","~u686c5fe9-8f64-45bb-a0f8-8ffd096203f8",536870919]],["^15",[234,"^3","-",536870919]],["^15",[234,"^17",1751932905373,536870919]],["^15",[234,"^Z","pages/Ethische AI Nutzung.md",536870919]],["^15",[235,"^K",1751932905373,536870919]],["^15",[235,"^[",234,536870919]],["^15",[235,"^@",false,536870919]],["^15",[235,"^Y","ethische ai nutzung",536870919]],["^15",[235,"^11","Ethische AI Nutzung",536870919]],["^15",[235,"^B",1751932905373,536870919]],["^15",[235,"^;","~u686c5fe9-4151-4316-9fab-e8dabe80773a",536870919]],["^15",[236,"^Q","",536870919]],["^15",[236,"^O","^16",536870919]],["^15",[236,"^F",235,536870919]],["^15",[236,"^X",235,536870919]],["^15",[236,"^V",235,536870919]],["^15",[236,"^U",235,536870919]],["^15",[236,"^;","~u686c5fe9-6771-41d0-bdc7-94541dc52c82",536870919]],["^15",[237,"^3","-",536870919]],["^15",[237,"^17",1751932905376,536870919]],["^15",[237,"^Z","pages/KI.md",536870919]],["^15",[238,"^K",1751932905375,536870919]],["^15",[238,"^[",237,536870919]],["^15",[238,"^@",false,536870919]],["^15",[238,"^Y","ki",536870919]],["^15",[238,"^11","KI",536870919]],["^15",[238,"^B",1751932905375,536870919]],["^15",[238,"^;","~u686c5fe9-d85c-4e28-b5e3-6faf98f40379",536870919]],["^15",[239,"^Q","",536870919]],["^15",[239,"^O","^16",536870919]],["^15",[239,"^F",238,536870919]],["^15",[239,"^X",238,536870919]],["^15",[239,"^V",238,536870919]],["^15",[239,"^U",238,536870919]],["^15",[239,"^;","~u686c5fe9-f7ea-433e-b0e8-c59db1474ac2",536870919]],["^15",[240,"^3","-\n-",536870919]],["^15",[240,"^17",1751932905379,536870919]],["^15",[240,"^Z","pages/Note.md",536870919]],["^15",[241,"^K",1751932905416,536870919]],["^15",[241,"^[",240,536870919]],["^15",[241,"^@",false,536870919]],["^15",[241,"^Y","note",536870919]],["^15",[241,"^11","Note",536870919]],["^15",[241,"^B",1751932905416,536870919]],["^15",[241,"^;","~u686c5fe9-5a56-46a4-aaca-3133f20c3e6b",536870919]],["^15",[242,"^Q","",536870919]],["^15",[242,"^O","^16",536870919]],["^15",[242,"^F",241,536870919]],["^15",[242,"^X",241,536870919]],["^15",[242,"^V",241,536870919]],["^15",[242,"^U",241,536870919]],["^15",[242,"^;","~u686c5fe9-5427-4bd2-8252-9710f2a353f8",536870919]],["^15",[243,"^Q","",536870919]],["^15",[243,"^O","^16",536870919]],["^15",[243,"^F",242,536870919]],["^15",[243,"^X",241,536870919]],["^15",[243,"^V",241,536870919]],["^15",[243,"^U",241,536870919]],["^15",[243,"^;","~u686c5fe9-1dc5-4d92-8c40-19df0d0cd19d",536870919]],["^15",[244,"^3","## Meta\n\t- Additional Tags:\n\t- Additional References:\n\t- **Subpages:**\n\t  background-color:: purple\n\t\t- query-sort-by:: page\n\t\t  query-sort-desc:: false\n\t\t  #+BEGIN_QUERY\n\t\t  {\n\t\t   :title \"Index:\"\n\t\t    :query (namespace [[Server]])\n\t\t  }\n\t\t  #+END_QUERY\n\t- **ToDo:**\n\t  background-color:: red\n\t\t- query-table:: false\n\t\t  #+BEGIN_QUERY\n\t\t  {\n\t\t   :title \"Tasks:\"\n\t\t    :query (and [[TODO]] (or <% current page %> (namespace <% current page %>)))\n\t\t  }\n\t\t  #+END_QUERY\n\t- **Makers:**\n\t  background-color:: yellow\n\t\t- #+BEGIN_QUERY\n\t\t  {\n\t\t   :title \"Notices:\"\n\t\t    :query (and (or [[LATER]] [[WAITING]]) (or (page [[Server]]) (namespace [[Server]])))\n\t\t  }\n\t\t  #+END_QUERY\n\t- **Summery:**\n\t  background-color:: blue\n\t\t-\n\t- ---",536870919]],["^15",[244,"^17",1751932905387,536870919]],["^15",[244,"^Z","pages/Server.md",536870919]],["^15",[245,"^K",1751932905448,536870919]],["^15",[245,"^[",244,536870919]],["^15",[245,"^O","^16",536870919]],["^15",[245,"^@",false,536870919]],["^15",[245,"^Y","server",536870919]],["^15",[245,"^11","Server",536870919]],["^15",[245,"^B",1751932905448,536870919]],["^15",[245,"^;","~u686c5fe9-57ce-400d-b227-a4e9bf6f9353",536870919]],["^15",[246,"^Q","---",536870919]],["^15",[246,"^O","^16",536870919]],["^15",[246,"^F",248,536870919]],["^15",[246,"^X",245,536870919]],["^15",[246,"^V",256,536870919]],["^15",[246,"^U",245,536870919]],["^15",[246,"^;","~u686c5fe9-4c6f-4738-835a-5054e680968b",536870919]],["^15",[247,"^Q","Additional Tags:",536870919]],["^15",[247,"^O","^16",536870919]],["^15",[247,"^F",256,536870919]],["^15",[247,"^X",245,536870919]],["^15",[247,"^V",256,536870919]],["^15",[247,"^U",245,536870919]],["^15",[247,"^;","~u686c5fe9-8e61-4786-8cc6-61f030646485",536870919]],["^15",[248,"^Q","**Summery:**\nbackground-color:: blue",536870919]],["^15",[248,"^O","^16",536870919]],["^15",[248,"^F",251,536870919]],["^15",[248,"^X",245,536870919]],["^15",[248,"^V",256,536870919]],["^15",[248,"^U",245,536870919]],["^15",[248,"^?",["^ ","~:background-color","blue"],536870919]],["^15",[248,"^J",["^1="],536870919]],["^15",[248,"^4",["^ ","^1=","blue"],536870919]],["^15",[248,"^;","~u686c5fe9-e7ee-425d-acfa-9ef6324e1ec2",536870919]],["^15",[249,"^Q","#+BEGIN_QUERY\n{\n :title \"Notices:\"\n  :query (and (or [[LATER]] [[WAITING]]) (or (page [[Server]]) (namespace 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yellow",536870919]],["^15",[251,"^O","^16",536870919]],["^15",[251,"^F",253,536870919]],["^15",[251,"^X",245,536870919]],["^15",[251,"^V",256,536870919]],["^15",[251,"^U",245,536870919]],["^15",[251,"^?",["^ ","^1=","yellow"],536870919]],["^15",[251,"^J",["^1="],536870919]],["^15",[251,"^4",["^ ","^1=","yellow"],536870919]],["^15",[251,"^;","~u686c5fe9-160c-4055-beab-f7fa09226b07",536870919]],["^15",[252,"^Q","",536870919]],["^15",[252,"^O","^16",536870919]],["^15",[252,"^F",248,536870919]],["^15",[252,"^X",245,536870919]],["^15",[252,"^V",248,536870919]],["^15",[252,"^U",245,536870919]],["^15",[252,"^;","~u686c5fe9-815e-470f-9d4a-779f9be0f57b",536870919]],["^15",[253,"^Q","**ToDo:**\nbackground-color:: red",536870919]],["^15",[253,"^O","^16",536870919]],["^15",[253,"^F",257,536870919]],["^15",[253,"^X",245,536870919]],["^15",[253,"^V",256,536870919]],["^15",[253,"^U",245,536870919]],["^15",[253,"^?",["^ ","^1=","red"],536870919]],["^15",[253,"^J",["^1="],536870919]],["^15",[253,"^4",["^ ","^1=","red"],536870919]],["^15",[253,"^;","~u686c5fe9-1444-49e3-bf26-0abd6d37c8f2",536870919]],["^15",[254,"^Q","query-sort-by:: page\nquery-sort-desc:: false\n#+BEGIN_QUERY\n{\n :title \"Index:\"\n  :query (namespace [[Server]])\n}\n#+END_QUERY",536870919]],["^15",[254,"^O","^16",536870919]],["^15",[254,"^F",257,536870919]],["^15",[254,"^X",245,536870919]],["^15",[254,"^V",257,536870919]],["^15",[254,"^U",245,536870919]],["^15",[254,"^?",["^ ","~:query-sort-by","page","~:query-sort-desc",false],536870919]],["^15",[254,"^J",["^1?","^1@"],536870919]],["^15",[254,"^4",["^ ","^1?","page","^1@","false"],536870919]],["^15",[254,"^;","~u686c5fe9-e1a3-41ff-9d7e-a6ce5ed34ce1",536870919]],["^15",[255,"^Q","Additional References:",536870919]],["^15",[255,"^O","^16",536870919]],["^15",[255,"^F",247,536870919]],["^15",[255,"^X",245,536870919]],["^15",[255,"^V",256,536870919]],["^15",[255,"^U",245,536870919]],["^15",[255,"^;","~u686c5fe9-988d-4617-b3b7-2fd5ab7d7ddf",536870919]],["^15",[256,"^Q","## Meta",536870919]],["^15",[256,"^O","^16",536870919]],["^15",[256,"^F",245,536870919]],["^15",[256,"^X",245,536870919]],["^15",[256,"^V",245,536870919]],["^15",[256,"^U",245,536870919]],["^15",[256,"^?",["^ ","^1;",2],536870919]],["^15",[256,"^J",[],536870919]],["^15",[256,"^;","~u686c5fe9-f591-4555-ad15-2beed60fe663",536870919]],["^15",[257,"^Q","**Subpages:**\nbackground-color:: purple",536870919]],["^15",[257,"^O","^16",536870919]],["^15",[257,"^F",255,536870919]],["^15",[257,"^X",245,536870919]],["^15",[257,"^V",256,536870919]],["^15",[257,"^U",245,536870919]],["^15",[257,"^?",["^ ","^1=","purple"],536870919]],["^15",[257,"^J",["^1="],536870919]],["^15",[257,"^4",["^ ","^1=","purple"],536870919]],["^15",[257,"^;","~u686c5fe9-a330-4ac2-8015-c6f61473ab1d",536870919]],["^15",[258,"^3","## Meta\n\t- Additional Tags: #Nextcloud #Onlyoffice\n\t- Additional References:\n\t- **Notes:**\n\t  background-color:: red\n\t\t- {{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Server/Nextcloud Notes]]) (namespace [[Server/Nextcloud Notes]])))}}\n\t\t  query-sort-by:: block\n\t\t  query-table:: true\n\t\t  query-sort-desc:: false\n\t- **Slides:**\n\t  background-color:: green\n\t\t- {{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Server/Nextcloud Notes]]) (namespace [[Server/Nextcloud Notes]])))}}\n\t- **Summery**:\n\t  background-color:: blue\n\t\t-\n- ---\n- [[Server/Nextcloud Notes/test]]\n-\n- #### President data in NSF\n\t- On crash a explicit restart on Server side of the Service may be required\n\t- ### OnlyOffice hide welcome Page\n\t\t- in /etc/nginx/includes/ds-docservice.conf rem out the first line then add:\n\t\t- ```\n\t\t  #rewrite ^/$ $the_scheme://$the_host/welcome/ redirect; \n\t\t  rewrite ^/welcome $the_scheme://$the_host redirect;\n\t\t  location = / { return 404; }\n\t\t  ```\n\t\t- You get a \" 404 Not Found\". Editing docs from onlyoffice still works.  This change will survive updates if you keep the same  ds-docservice.conf. I don’t use docker but this file is never touched  during “apt” upgrades.\n\t\t\t- https://forum.onlyoffice.com/t/hide-deactivate-welcome-page/566/4\n- ### Recognizer: php --define memory_limit=2048M\n\t- To set memory allowed memory size\n- ### Crontabs\n\t- use sudo crontab -e  --> System host crontab to regularly run jobs\n\t- /5 \\* \\* \\* \\* docker exec -u www-data nextcloud-app-1 php --define memory_limit=2048M /var/www/html/cron.php\n\t\t- https://help.nextcloud.com/t/nextcloud-docker-container-best-way-to-run-cron-job/157734/3\n- ### Domains as Iframes\n   ![](https://nextcloud.urmel.duckdns.org/apps/text/image?documentId=2852&sessionId=895&sessionToken=vbMVkIDUFi94FiL%2B2N5umrWqoB5nFNEI1al4rvKqSGbn0LP2kFrrt%2BaZ6OsTUYaY&imageFileName=image.png){:height 1032, :width 776}\n- ### Installing ffmpeg for Video Preview\n\t- apt update && apt -y install ffmpeg\n\t- from https://help.nextcloud.com/t/nextcloud-docker-compose-with-ffmpeg-example/143964/2###\n- ### Custom CSS\n  \n  ```scss\n  @use 'sass:color';\n  /* Latte Theme */\n  $latte-rosewater: rgb(220, 138, 120);\n  $latte-flamingo: rgb(221, 120, 120);\n  $latte-pink: rgb(234, 118, 203);\n  $latte-mauve: rgb(136, 57, 239);\n  $latte-red: rgb(210, 15, 57);\n  $latte-maroon: rgb(230, 69, 83);\n  $latte-peach: rgb(254, 100, 11);\n  $latte-yellow: rgb(223, 142, 29);\n  $latte-green: rgb(64, 160, 43);\n  $latte-teal: rgb(23, 146, 153);\n  $latte-sky: rgb(4, 165, 229);\n  $latte-sapphire: rgb(32, 159, 181);\n  $latte-blue: rgb(30, 102, 245);\n  $latte-lavender: rgb(114, 135, 253);\n  $latte-text: rgb(76, 79, 105);\n  $latte-subtext1: rgb(92, 95, 119);\n  $latte-subtext0: rgb(108, 111, 133);\n  $latte-overlay2: rgb(124, 127, 147);\n  $latte-overlay1: rgb(140, 143, 161);\n  $latte-overlay0: rgb(156, 160, 176);\n  $latte-surface2: rgb(172, 176, 190);\n  $latte-surface1: rgb(188, 192, 204);\n  $latte-surface0: rgb(204, 208, 218);\n  $latte-base: rgb(239, 241, 245);\n  $latte-mantle: rgb(230, 233, 239);\n  $latte-crust: rgb(220, 224, 232);\n  \n  /* Frappe Theme */\n  $frappe-rosewater: rgb(242, 213, 207); \n  $frappe-flamingo: rgb(238, 190, 190);\n  $frappe-pink: rgb(244, 184, 228);\n  $frappe-mauve: rgb(202, 158, 230);\n  $frappe-red: rgb(231, 130, 132);\n  $frappe-maroon: rgb(234, 153, 156);\n  $frappe-peach: rgb(239, 159, 118);\n  $frappe-yellow: rgb(229, 200, 144);\n  $frappe-green: rgb(166, 209, 137);\n  $frappe-teal: rgb(129, 200, 190);\n  $frappe-sky: rgb(153, 209, 219);\n  $frappe-sapphire: rgb(133, 193, 220);\n  $frappe-blue: rgb(140, 170, 238);\n  $frappe-lavender: rgb(186, 187, 241);\n  $frappe-text: rgb(198, 208, 245);\n  $frappe-subtext1: rgb(181, 191, 226);\n  $frappe-subtext0: rgb(165, 173, 206);\n  $frappe-overlay2: rgb(148, 156, 187);\n  $frappe-overlay1: rgb(131, 139, 167);\n  $frappe-overlay0: rgb(115, 121, 148);\n  $frappe-surface2: rgb(98, 104, 128);\n  $frappe-surface1: rgb(81, 87, 109);\n  $frappe-surface0: rgb(65, 69, 89);\n  $frappe-base: rgb(48, 52, 70);\n  $frappe-mantle: rgb(41, 44, 60);\n  $frappe-crust: rgb(35, 38, 52);\n  \n  /* Macchiato Theme */\n  $macchiato-rosewater: rgb(244, 219, 214);\n  $macchiato-flamingo: rgb(240, 198, 198);\n  $macchiato-pink: rgb(245, 189, 230);\n  $macchiato-mauve: rgb(198, 160, 246);\n  $macchiato-red: rgb(237, 135, 150);\n  $macchiato-maroon: rgb(238, 153, 160);\n  $macchiato-peach: rgb(245, 169, 127);\n  $macchiato-yellow: rgb(238, 212, 159);\n  $macchiato-green: rgb(166, 218, 149);\n  $macchiato-teal: rgb(139, 213, 202);\n  $macchiato-sky: rgb(145, 215, 227);\n  $macchiato-sapphire: rgb(125, 196, 228);\n  $macchiato-blue: rgb(138, 173, 244);\n  $macchiato-lavender: rgb(183, 189, 248);\n  $macchiato-text: rgb(202, 211, 245);\n  $macchiato-subtext1: rgb(184, 192, 224);\n  $macchiato-subtext0: rgb(165, 173, 203);\n  $macchiato-overlay2: rgb(147, 154, 183);\n  $macchiato-overlay1: rgb(128, 135, 162);\n  $macchiato-overlay0: rgb(110, 115, 141);\n  $macchiato-surface2: rgb(91, 96, 120);\n  $macchiato-surface1: rgb(73, 77, 100);\n  $macchiato-surface0: rgb(54, 58, 79);\n  $macchiato-base: rgb(36, 39, 58);\n  $macchiato-mantle: rgb(30, 32, 48);\n  $macchiato-crust: rgb(24, 25, 38);\n  \n  /* Mocha Theme */\n  $mocha-rosewater: rgb(245, 224, 220);\n  $mocha-flamingo: rgb(242, 205, 205);\n  $mocha-pink: rgb(245, 194, 231);\n  $mocha-mauve: rgb(203, 166, 247);\n  $mocha-red: rgb(243, 139, 168);\n  $mocha-maroon: rgb(235, 160, 172);\n  $mocha-peach: rgb(250, 179, 135);\n  $mocha-yellow: rgb(249, 226, 175);\n  $mocha-green: rgb(166, 227, 161);\n  $mocha-teal: rgb(148, 226, 213);\n  $mocha-sky: rgb(137, 220, 235);\n  $mocha-sapphire: rgb(116, 199, 236);\n  $mocha-blue: rgb(137, 180, 250);\n  $mocha-lavender: rgb(180, 190, 254);\n  $mocha-text: rgb(205, 214, 244);\n  $mocha-subtext1: rgb(186, 194, 222);\n  $mocha-subtext0: rgb(166, 173, 200);\n  $mocha-overlay2: rgb(147, 153, 178);\n  $mocha-overlay1: rgb(127, 132, 156);\n  $mocha-overlay0: rgb(108, 112, 134);\n  $mocha-surface2: rgb(88, 91, 112);\n  $mocha-surface1: rgb(69, 71, 90);\n  $mocha-surface0: rgb(49, 50, 68);\n  $mocha-base: rgb(30, 30, 46);\n  $mocha-mantle: rgb(24, 24, 37);\n  $mocha-crust: rgb(17, 17, 27);\n  \n  \n  [data-theme-light] {\n  //+0.05,\n      --color-main-background: #{rgba($latte-base, 0.93)} ;\n      --color-main-background-rgb: #{$latte-base};\n      --color-main-background-translucent: #{rgba($latte-base, .97)};\n      --color-main-background-blur: #{rgba($latte-base, .8)};\n      --filter-background-blur: #{blur(25px)};\n      --gradient-main-background: var(--color-main-background) 0%, var(--color-main-background-translucent) 85%, transparent 100%;\n      --color-background-hover: #{$latte-surface1};\n      --color-background-dark:  #{color.scale($latte-surface0, $lightness: 5%)};\n      --color-background-darker: #{$latte-surface0};\n      --color-placeholder-light: #{color.scale($latte-surface2, $lightness: 5%)};\n      --color-placeholder-dark: #{$latte-surface2};\n      --color-main-text: #{$latte-text};\n      --color-text-maxcontrast: #{$latte-subtext1};\n      --color-text-maxcontrast-default: #{color.scale($latte-subtext0, $lightness: 5%)};\n      --color-text-maxcontrast-background-blur: #{$latte-subtext0};\n      --color-text-light: #{var(--color-main-text)};\n      --color-text-lighter: #{var(--color-text-maxcontrast)};\n      --color-scrollbar: #{$latte-mauve};\n      --color-error: #{$latte-red};\n      --color-error-rgb: #{$latte-red};\n      --color-error-hover: #{color.scale($latte-red, $lightness: 5%)};\n      --color-error-text: #{color.scale($latte-red, $lightness: -10%)};\n      --color-warning: #{$latte-peach};\n      --color-warning-rgb: #{$latte-peach};\n      --color-warning-hover: #{color.scale($latte-peach, $lightness: 5%)};\n      --color-warning-text: #{color.scale($latte-peach, $lightness: -10%)};\n      --color-success: #{$latte-green};\n      --color-success-rgb: #{$latte-green};\n      --color-success-hover: #{color.scale($latte-green, $lightness: 5%)};\n      --color-success-text: #{color.scale($latte-green, $lightness: -10%)};\n      --color-info: #{$latte-blue};\n      --color-info-rgb: #{$latte-blue};\n      --color-info-hover: #{color.scale($latte-blue, $lightness: 5%)};\n      --color-info-text: #{color.scale($latte-blue, $lightness: -10%)};\n      --color-loading-light: #{$latte-overlay0};\n      --color-loading-dark: #{$latte-subtext1};\n      --color-box-shadow-rgb: #{color.scale($latte-crust, $lightness: 10%)};\n      --color-box-shadow: #{color.scale($latte-crust, $lightness: 15%)};\n      --color-border: #{$latte-crust};\n      --color-border-dark: #{color.scale($latte-crust, $lightness: 5%)};\n      --color-border-maxcontrast: #{color.scale($latte-crust, $lightness: -10%)};\n  \n  \n      --color-primary: #{$latte-maroon};\n      --color-primary-default: #{$latte-maroon};\n      --color-primary-text: #{$latte-crust};\n      --color-primary-hover: #{color.scale($latte-maroon, $lightness: -5%)};\n    \n      --color-primary-light: #{$latte-green};\n      --color-primary-light-text: #{$latte-crust};\n      --color-primary-light-hover: #{color.scale($latte-green, $lightness: -5%)};\n    \n      --color-primary-element: #{$latte-maroon};\n      --color-primary-element-hover: #{color.scale($latte-maroon, $lightness: -5%)};\n      --color-primary-element-text: #{$latte-crust};\n      --color-primary-element-text-dark: #{$latte-mantle};\n    \n      --color-primary-element-light: #{$latte-blue};\n      --color-primary-element-light-hover: #{color.scale($latte-blue, $lightness: -5%)};\n      --color-primary-element-light-text: #{$latte-crust};\n      --gradient-primary-background: linear-gradient(40deg, var(--color-primary) 0%, var(--color-primary-hover) 100%);\n      \n      //Unchanged\n      --font-face: system-ui, -apple-system, \"Segoe UI\", Roboto, Oxygen-Sans, Cantarell, Ubuntu, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n      --default-font-size: 15px;\n      --animation-quick: 100ms;\n      --animation-slow: 300ms;\n      --border-radius: 3px;\n      --border-radius-large: 10px;\n      --border-radius-rounded: 28px;\n      --border-radius-pill: 100px;\n      --default-clickable-area: 44px;\n      --default-line-height: 24px;\n      --default-grid-baseline: 4px;\n      --header-height: 50px;\n      --navigation-width: 300px;\n      --sidebar-min-width: 300px;\n      --sidebar-max-width: 500px;\n      --list-min-width: 200px;\n      --list-max-width: 300px;\n      --header-menu-item-height: 44px;\n      --header-menu-profile-item-height: 66px;\n      --breakpoint-mobile: 1024px;\n      --background-invert-if-dark: invert(100%);\n      --background-invert-if-bright: no;\n      --background-image-invert-if-bright: no;\n      --primary-invert-if-bright: no;\n      --primary-invert-if-dark: invert(100%);\n  }\n  [data-theme-dark] {\n  //+0.05,\n    --color-main-background: #{rgba($frappe-base, 0.93)} ;\n    --color-main-background-rgb: #{$frappe-base};\n    --color-main-background-translucent: #{rgba($frappe-base, .97)};\n    --color-main-background-blur: #{rgba($frappe-base, .8)};\n    --filter-background-blur: #{blur(25px)};\n    --gradient-main-background: var(--color-main-background) 0%, var(--color-main-background-translucent) 85%, transparent 100%;\n    --color-background-hover: #{$frappe-surface1};\n    --color-background-dark:  #{color.scale($frappe-surface0, $lightness: 5%)};\n    --color-background-darker: #{$frappe-surface0};\n    --color-placeholder-light: #{color.scale($frappe-surface2, $lightness: 5%)};\n    --color-placeholder-dark: #{$frappe-surface2};\n    --color-main-text: #{$frappe-text};\n    --color-text-maxcontrast: #{$frappe-subtext1};\n    --color-text-maxcontrast-default: #{color.scale($frappe-subtext0, $lightness: 5%)};\n    --color-text-maxcontrast-background-blur: #{$frappe-subtext0};\n    --color-text-light: #{var(--color-main-text)};\n    --color-text-lighter: #{var(--color-text-maxcontrast)};\n    --color-scrollbar: #{$frappe-mauve};\n    --color-error: #{$frappe-red};\n    --color-error-rgb: #{$frappe-red};\n    --color-error-hover: #{color.scale($frappe-red, $lightness: 5%)};\n    --color-error-text: #{color.scale($frappe-red, $lightness: -10%)};\n    --color-warning: #{$frappe-peach};\n    --color-warning-rgb: #{$frappe-peach};\n    --color-warning-hover: #{color.scale($frappe-peach, $lightness: 5%)};\n    --color-warning-text: #{color.scale($frappe-peach, $lightness: -10%)};\n    --color-success: #{$frappe-green};\n    --color-success-rgb: #{$frappe-green};\n    --color-success-hover: #{color.scale($frappe-green, $lightness: 5%)};\n    --color-success-text: #{color.scale($frappe-green, $lightness: -10%)};\n    --color-info: #{$frappe-blue};\n    --color-info-rgb: #{$frappe-blue};\n    --color-info-hover: #{color.scale($frappe-blue, $lightness: 5%)};\n    --color-info-text: #{color.scale($frappe-blue, $lightness: -10%)};\n    --color-loading-light: #{$frappe-overlay0};\n    --color-loading-dark: #{$frappe-subtext1};\n    --color-box-shadow-rgb: #{color.scale($frappe-crust, $lightness: 10%)};\n    --color-box-shadow: #{color.scale($frappe-crust, $lightness: 15%)};\n    --color-border: #{$frappe-crust};\n    --color-border-dark: #{color.scale($frappe-crust, $lightness: 5%)};\n    --color-border-maxcontrast: #{color.scale($frappe-crust, $lightness: -10%)};\n  \n  \n    --color-primary: #{$frappe-maroon};\n    --color-primary-default: #{$frappe-maroon};\n    --color-primary-text: #{$frappe-crust};\n    --color-primary-hover: #{color.scale($frappe-maroon, $lightness: -5%)};\n  \n    --color-primary-light: #{$frappe-green};\n    --color-primary-light-text: #{$frappe-crust};\n    --color-primary-light-hover: #{color.scale($frappe-green, $lightness: -5%)};\n  \n    --color-primary-element: #{$frappe-maroon};\n    --color-primary-element-hover: #{color.scale($frappe-maroon, $lightness: -5%)};\n    --color-primary-element-text: #{$frappe-crust};\n    --color-primary-element-text-dark: #{$frappe-mantle};\n  \n    --color-primary-element-light: #{$frappe-blue};\n    --color-primary-element-light-hover: #{color.scale($frappe-blue, $lightness: -5%)};\n    --color-primary-element-light-text: #{$frappe-crust};\n    --gradient-primary-background: linear-gradient(40deg, var(--color-primary) 0%, var(--color-primary-hover) 100%);\n    \n    //Unchanged\n    --font-face: system-ui, -apple-system, \"Segoe UI\", Roboto, Oxygen-Sans, Cantarell, Ubuntu, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n    --default-font-size: 15px;\n    --animation-quick: 100ms;\n    --animation-slow: 300ms;\n    --border-radius: 3px;\n    --border-radius-large: 10px;\n    --border-radius-rounded: 28px;\n    --border-radius-pill: 100px;\n    --default-clickable-area: 44px;\n    --default-line-height: 24px;\n    --default-grid-baseline: 4px;\n    --header-height: 50px;\n    --navigation-width: 300px;\n    --sidebar-min-width: 300px;\n    --sidebar-max-width: 500px;\n    --list-min-width: 200px;\n    --list-max-width: 300px;\n    --header-menu-item-height: 44px;\n    --header-menu-profile-item-height: 66px;\n    --breakpoint-mobile: 1024px;\n    --background-invert-if-dark: invert(100%);\n    --background-invert-if-bright: no;\n    --background-image-invert-if-bright: no;\n    --primary-invert-if-bright: no;\n    --primary-invert-if-dark: invert(100%);\n  }\n  [data-theme-dark-highcontrast] {\n  //+0.05,\n      --color-main-background: #{rgba($mocha-base, 0.93)} ;\n      --color-main-background-rgb: #{$mocha-base};\n      --color-main-background-translucent: #{rgba($mocha-base, .97)};\n      --color-main-background-blur: #{rgba($mocha-base, .8)};\n      --filter-background-blur: #{blur(25px)};\n      --gradient-main-background: var(--color-main-background) 0%, var(--color-main-background-translucent) 85%, transparent 100%;\n      --color-background-hover: #{$mocha-surface1};\n      --color-background-dark:  #{color.scale($mocha-surface0, $lightness: 5%)};\n      --color-background-darker: #{$mocha-surface0};\n      --color-placeholder-light: #{color.scale($mocha-surface2, $lightness: 5%)};\n      --color-placeholder-dark: #{$mocha-surface2};\n      --color-main-text: #{$mocha-text};\n      --color-text-maxcontrast: #{$mocha-subtext1};\n      --color-text-maxcontrast-default: #{color.scale($mocha-subtext0, $lightness: 5%)};\n      --color-text-maxcontrast-background-blur: #{$mocha-subtext0};\n      --color-text-light: #{var(--color-main-text)};\n      --color-text-lighter: #{var(--color-text-maxcontrast)};\n      --color-scrollbar: #{$mocha-mauve};\n      --color-error: #{$mocha-red};\n      --color-error-rgb: #{$mocha-red};\n      --color-error-hover: #{color.scale($mocha-red, $lightness: 5%)};\n      --color-error-text: #{color.scale($mocha-red, $lightness: -10%)};\n      --color-warning: #{$mocha-peach};\n      --color-warning-rgb: #{$mocha-peach};\n      --color-warning-hover: #{color.scale($mocha-peach, $lightness: 5%)};\n      --color-warning-text: #{color.scale($mocha-peach, $lightness: -10%)};\n      --color-success: #{$mocha-green};\n      --color-success-rgb: #{$mocha-green};\n      --color-success-hover: #{color.scale($mocha-green, $lightness: 5%)};\n      --color-success-text: #{color.scale($mocha-green, $lightness: -10%)};\n      --color-info: #{$mocha-blue};\n      --color-info-rgb: #{$mocha-blue};\n      --color-info-hover: #{color.scale($mocha-blue, $lightness: 5%)};\n      --color-info-text: #{color.scale($mocha-blue, $lightness: -10%)};\n      --color-loading-light: #{$mocha-overlay0};\n      --color-loading-dark: #{$mocha-subtext1};\n      --color-box-shadow-rgb: #{color.scale($mocha-crust, $lightness: 10%)};\n      --color-box-shadow: #{color.scale($mocha-crust, $lightness: 15%)};\n      --color-border: #{$mocha-crust};\n      --color-border-dark: #{color.scale($mocha-crust, $lightness: 5%)};\n      --color-border-maxcontrast: #{color.scale($mocha-crust, $lightness: -10%)};\n  \n  \n      --color-primary: #{$mocha-maroon};\n      --color-primary-default: #{$mocha-maroon};\n      --color-primary-text: #{$mocha-crust};\n      --color-primary-hover: #{color.scale($mocha-maroon, $lightness: -5%)};\n    \n      --color-primary-light: #{$mocha-green};\n      --color-primary-light-text: #{$mocha-crust};\n      --color-primary-light-hover: #{color.scale($mocha-green, $lightness: -5%)};\n    \n      --color-primary-element: #{$mocha-maroon};\n      --color-primary-element-hover: #{color.scale($mocha-maroon, $lightness: -5%)};\n      --color-primary-element-text: #{$mocha-crust};\n      --color-primary-element-text-dark: #{$mocha-mantle};\n    \n      --color-primary-element-light: #{$mocha-blue};\n      --color-primary-element-light-hover: #{color.scale($mocha-blue, $lightness: -5%)};\n      --color-primary-element-light-text: #{$mocha-crust};\n      --gradient-primary-background: linear-gradient(40deg, var(--color-primary) 0%, var(--color-primary-hover) 100%);\n      \n      //Unchanged\n      --font-face: system-ui, -apple-system, \"Segoe UI\", Roboto, Oxygen-Sans, Cantarell, Ubuntu, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n      --default-font-size: 15px;\n      --animation-quick: 100ms;\n      --animation-slow: 300ms;\n      --border-radius: 3px;\n      --border-radius-large: 10px;\n      --border-radius-rounded: 28px;\n      --border-radius-pill: 100px;\n      --default-clickable-area: 44px;\n      --default-line-height: 24px;\n      --default-grid-baseline: 4px;\n      --header-height: 50px;\n      --navigation-width: 300px;\n      --sidebar-min-width: 300px;\n      --sidebar-max-width: 500px;\n      --list-min-width: 200px;\n      --list-max-width: 300px;\n      --header-menu-item-height: 44px;\n      --header-menu-profile-item-height: 66px;\n      --breakpoint-mobile: 1024px;\n      --background-invert-if-dark: invert(100%);\n      --background-invert-if-bright: no;\n      --background-image-invert-if-bright: no;\n      --primary-invert-if-bright: no;\n      --primary-invert-if-dark: invert(100%);\n  }\n  [data-theme-light-highcontrast] {\n  //+0.05,\n      --color-main-background: #{rgba($macchiato-base, 0.93)} ;\n      --color-main-background-rgb: #{$macchiato-base};\n      --color-main-background-translucent: #{rgba($macchiato-base, .97)};\n      --color-main-background-blur: #{rgba($macchiato-base, .8)};\n      --filter-background-blur: #{blur(25px)};\n      --gradient-main-background: var(--color-main-background) 0%, var(--color-main-background-translucent) 85%, transparent 100%;\n      --color-background-hover: #{$macchiato-surface1};\n      --color-background-dark:  #{color.scale($macchiato-surface0, $lightness: 5%)};\n      --color-background-darker: #{$macchiato-surface0};\n      --color-placeholder-light: #{color.scale($macchiato-surface2, $lightness: 5%)};\n      --color-placeholder-dark: #{$macchiato-surface2};\n      --color-main-text: #{$macchiato-text};\n      --color-text-maxcontrast: #{$macchiato-subtext1};\n      --color-text-maxcontrast-default: #{color.scale($macchiato-subtext0, $lightness: 5%)};\n      --color-text-maxcontrast-background-blur: #{$macchiato-subtext0};\n      --color-text-light: #{var(--color-main-text)};\n      --color-text-lighter: #{var(--color-text-maxcontrast)};\n      --color-scrollbar: #{$macchiato-mauve};\n      --color-error: #{$macchiato-red};\n      --color-error-rgb: #{$macchiato-red};\n      --color-error-hover: #{color.scale($macchiato-red, $lightness: 5%)};\n      --color-error-text: #{color.scale($macchiato-red, $lightness: -10%)};\n      --color-warning: #{$macchiato-peach};\n      --color-warning-rgb: #{$macchiato-peach};\n      --color-warning-hover: #{color.scale($macchiato-peach, $lightness: 5%)};\n      --color-warning-text: #{color.scale($macchiato-peach, $lightness: -10%)};\n      --color-success: #{$macchiato-green};\n      --color-success-rgb: #{$macchiato-green};\n      --color-success-hover: #{color.scale($macchiato-green, $lightness: 5%)};\n      --color-success-text: #{color.scale($macchiato-green, $lightness: -10%)};\n      --color-info: #{$macchiato-blue};\n      --color-info-rgb: #{$macchiato-blue};\n      --color-info-hover: #{color.scale($macchiato-blue, $lightness: 5%)};\n      --color-info-text: #{color.scale($macchiato-blue, $lightness: -10%)};\n      --color-loading-light: #{$macchiato-overlay0};\n      --color-loading-dark: #{$macchiato-subtext1};\n      --color-box-shadow-rgb: #{color.scale($macchiato-crust, $lightness: 10%)};\n      --color-box-shadow: #{color.scale($macchiato-crust, $lightness: 15%)};\n      --color-border: #{$macchiato-crust};\n      --color-border-dark: #{color.scale($macchiato-crust, $lightness: 5%)};\n      --color-border-maxcontrast: #{color.scale($macchiato-crust, $lightness: -10%)};\n  \n  \n      --color-primary: #{$macchiato-maroon};\n      --color-primary-default: #{$macchiato-maroon};\n      --color-primary-text: #{$macchiato-crust};\n      --color-primary-hover: #{color.scale($macchiato-maroon, $lightness: -5%)};\n    \n      --color-primary-light: #{$macchiato-green};\n      --color-primary-light-text: #{$macchiato-crust};\n      --color-primary-light-hover: #{color.scale($macchiato-green, $lightness: -5%)};\n    \n      --color-primary-element: #{$macchiato-maroon};\n      --color-primary-element-hover: #{color.scale($macchiato-maroon, $lightness: -5%)};\n      --color-primary-element-text: #{$macchiato-crust};\n      --color-primary-element-text-dark: #{$macchiato-mantle};\n    \n      --color-primary-element-light: #{$macchiato-blue};\n      --color-primary-element-light-hover: #{color.scale($macchiato-blue, $lightness: -5%)};\n      --color-primary-element-light-text: #{$macchiato-crust};\n      --gradient-primary-background: linear-gradient(40deg, var(--color-primary) 0%, var(--color-primary-hover) 100%);\n      \n      //Unchanged\n      --font-face: system-ui, -apple-system, \"Segoe UI\", Roboto, Oxygen-Sans, Cantarell, Ubuntu, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n      --default-font-size: 15px;\n      --animation-quick: 100ms;\n      --animation-slow: 300ms;\n      --border-radius: 3px;\n      --border-radius-large: 10px;\n      --border-radius-rounded: 28px;\n      --border-radius-pill: 100px;\n      --default-clickable-area: 44px;\n      --default-line-height: 24px;\n      --default-grid-baseline: 4px;\n      --header-height: 50px;\n      --navigation-width: 300px;\n      --sidebar-min-width: 300px;\n      --sidebar-max-width: 500px;\n      --list-min-width: 200px;\n      --list-max-width: 300px;\n      --header-menu-item-height: 44px;\n      --header-menu-profile-item-height: 66px;\n      --breakpoint-mobile: 1024px;\n      --background-invert-if-dark: invert(100%);\n      --background-invert-if-bright: no;\n      --background-image-invert-if-bright: no;\n      --primary-invert-if-bright: no;\n      --primary-invert-if-dark: invert(100%);\n  }\n  \n  /*Theme selection hide old description*/\n  .theming__preview .checkbox-radio-switch__text,\n  .theming__preview--light h3, .theming__preview--light p,\n  .theming__preview--dark h3, .theming__preview--dark p,\n  .theming__preview--light-highcontrast h3, .theming__preview--light-highcontrast p,\n  .theming__preview--dark-highcontrast h3, .theming__preview--dark-highcontrast p {\n  visibility: hidden;\n  }\n  \n  //Replace old radio btn. lable\n  .theming__preview .checkbox-radio-switch__text::before {\n  visibility: visible;\n  content: \"Enable this theme\";\n  }\n  \n  //Show new theme description\n  .theming__preview--light h3::before {\n  content: \"Latte theme\";\n  visibility: visible;\n  }\n  .theming__preview--light p::before {\n  content: \"The catppuccino light theme\";\n  visibility: visible;\n  }\n  .theming__preview--light .theming__preview-image,\n  .theming__preview--dark .theming__preview-image,\n  .theming__preview--light-highcontrast .theming__preview-image,\n  .theming__preview--dark-highcontrast .theming__preview-image {\n  //background-image: TODO; !important;\n  display: none;\n  }\n  \n  //Show new theme description\n  .theming__preview--dark h3::before {\n  content: \"Frappe Theme\";\n  visibility: visible;\n  }\n  .theming__preview--dark p::before {\n  content: \"The milde and cozy catppuccino dark theme\";\n  visibility: visible;\n  }\n  \n  //Show new theme description\n  .theming__preview--light-highcontrast h3::before {\n  content: \"Macchiato Theme\";\n  visibility: visible;\n  }\n  .theming__preview--light-highcontrast p::before {\n  content: \"Catpuccinos perfect mix between Mocha and Frappe\";\n  visibility: visible;\n  }\n  \n  //Show new theme description\n  .theming__preview--dark-highcontrast h3::before {\n  content: \"Mocha Theme\";\n  visibility: visible;\n  }\n  .theming__preview--dark-highcontrast p::before {\n  content: \"Catppuccinos dark theme withe bright colors\";\n  visibility: visible;\n  }\n  \n  \n  /*Setting left nav Pannel to be transparent without blur*/\n  .app-navigation {\n  background-color: var(--color-main-background) !important;\n  backdrop-filter: None !important;\n  }\n  \n  /*Setting markdown editor link color to primary light*/\n  .paragraph-content a {\n  color: var(--color-primary-element-light) !important; \n  }\n  \n  /*Fixing Dashboards toggel item widget visibility (e.g. weather)*/\n  .action-item__menutoggle{\n  background-color: var(--color-primary-element-light) !important;\n  }\n  /*Fixing Dashboard Welcome msg visibility*/\n  .app-dashboard h2:nth-child(1) {\n  color: var(--color-main-text) !important;\n  }\n  \n  /*Fixing Mail sidebar 1 text visibility when selected*/\n  .app-navigation-entry.active a{\n  color: var(--color-primary-element-text) !important;\n  }\n  /*Fixing Mail sidebar 2 text visibility when selected*/\n  .list-item__wrapper.list-item__wrapper--active .list-item-content__main span,\n  .list-item__wrapper.list-item__wrapper--active .list-item-content__main span .envelope__preview-text{\n  color: var(--color-primary-element-text) !important;\n  }\n  \n  /*Fixing visibility of left header label and right header icons*/\n  .header-right .header-menu button,\n  .headeu-main li .app-menu-entry--label{\n  color: var(--color-main-text) !important;\n  }\n  r-right .header-menu .unified-search__button[data-v-3883344d],\n  .app-men\n  ```\n  \n  ---\n  \n  ```\n  /*Fixing share link folder icon*/\n  .files-public-content .thumbnail\n  {\n    filter: brightness(0) saturate(100%) invert(93%) sepia(17%) saturate(7243%) hue-rotate(295deg) brightness(97%) contrast(89%);\n  }\n  \n  .files-public-content .files-fileList .date {\n  color: var(--color-main-text) !important;\n  }\n  ```",536870919]],["^15",[258,"^17",1751932905410,536870919]],["^15",[258,"^Z","pages/Server___Nextcloud Notes.md",536870919]],["^15",[259,"^K",1751932905409,536870919]],["^15",[259,"^[",258,536870919]],["^15",[259,"^@",false,536870919]],["^15",[259,"^Y","server/nextcloud notes",536870919]],["^15",[259,"^A",245,536870919]],["^15",[259,"^11","Server/Nextcloud Notes",536870919]],["^15",[259,"^B",1751932905409,536870919]],["^15",[259,"^;","~u686c5fe9-d6ed-41e3-bfd7-d18b1fac35ca",536870919]],["^15",[260,"^K",1751932905409,536870919]],["^15",[260,"^@",false,536870919]],["^15",[260,"^Y","onlyoffice",536870919]],["^15",[260,"^11","Onlyoffice",536870919]],["^15",[260,"^B",1751932905409,536870919]],["^15",[260,"^;","~u686c5fe9-65ac-48e9-a8ba-0a2dfe1dae20",536870919]],["^15",[261,"^K",1751932905409,536870919]],["^15",[261,"^@",false,536870919]],["^15",[261,"^Y","nextcloud",536870919]],["^15",[261,"^11","Nextcloud",536870919]],["^15",[261,"^B",1751932905409,536870919]],["^15",[261,"^;","~u686c5fe9-ac50-44d8-bac2-ff23959ef722",536870919]],["^15",[262,"^K",1751932905409,536870919]],["^15",[262,"^@",false,536870919]],["^15",[262,"^Y","server/nextcloud notes/test",536870919]],["^15",[262,"^A",259,536870919]],["^15",[262,"^11","Server/Nextcloud Notes/test",536870919]],["^15",[262,"^B",1751932905409,536870919]],["^15",[262,"^;","~u686c5fe9-0421-45d1-b247-c28ff225a83e",536870919]],["^15",[263,"^Q","**Notes:**\nbackground-color:: red",536870919]],["^15",[263,"^O","^16",536870919]],["^15",[263,"^F",267,536870919]],["^15",[263,"^X",259,536870919]],["^15",[263,"^V",264,536870919]],["^15",[263,"^U",259,536870919]],["^15",[263,"^?",["^ ","^1=","red"],536870919]],["^15",[263,"^J",["^1="],536870919]],["^15",[263,"^4",["^ ","^1=","red"],536870919]],["^15",[263,"^;","~u686c5fe9-9b66-4676-8897-05e05af93971",536870919]],["^15",[264,"^Q","## Meta",536870919]],["^15",[264,"^O","^16",536870919]],["^15",[264,"^F",259,536870919]],["^15",[264,"^X",259,536870919]],["^15",[264,"^V",259,536870919]],["^15",[264,"^U",259,536870919]],["^15",[264,"^?",["^ ","^1;",2],536870919]],["^15",[264,"^J",[],536870919]],["^15",[264,"^;","~u686c5fe9-d844-413f-91b7-7f21bc80222a",536870919]],["^15",[265,"^Q","### Recognizer: php --define memory_limit=2048M",536870919]],["^15",[265,"^O","^16",536870919]],["^15",[265,"^F",283,536870919]],["^15",[265,"^X",259,536870919]],["^15",[265,"^V",259,536870919]],["^15",[265,"^U",259,536870919]],["^15",[265,"^?",["^ ","^1;",3],536870919]],["^15",[265,"^J",[],536870919]],["^15",[265,"^;","~u686c5fe9-405d-40de-98b8-cf3bf64464e6",536870919]],["^15",[266,"^Q","use sudo crontab -e  --> System host crontab to regularly run jobs",536870919]],["^15",[266,"^O","^16",536870919]],["^15",[266,"^F",287,536870919]],["^15",[266,"^X",259,536870919]],["^15",[266,"^V",287,536870919]],["^15",[266,"^U",259,536870919]],["^15",[266,"^;","~u686c5fe9-343c-4ce6-8748-133bb2e8dbac",536870919]],["^15",[267,"^Q","Additional References:",536870919]],["^15",[267,"^O","^16",536870919]],["^15",[267,"^F",281,536870919]],["^15",[267,"^X",259,536870919]],["^15",[267,"^V",264,536870919]],["^15",[267,"^U",259,536870919]],["^15",[267,"^;","~u686c5fe9-2100-4efa-ab19-168920497292",536870919]],["^15",[268,"^Q","To set memory allowed memory size",536870919]],["^15",[268,"^O","^16",536870919]],["^15",[268,"^F",265,536870919]],["^15",[268,"^X",259,536870919]],["^15",[268,"^V",265,536870919]],["^15",[268,"^U",259,536870919]],["^15",[268,"^;","~u686c5fe9-78e8-40b3-86c4-6f7bd726435a",536870919]],["^15",[269,"^Q","~```\n#rewrite ^/$ $the_scheme://$the_host/welcome/ redirect; \nrewrite ^/welcome $the_scheme://$the_host redirect;\nlocation = / { return 404; }\n```",536870919]],["^15",[269,"^O","^16",536870919]],["^15",[269,"^F",284,536870919]],["^15",[269,"^X",259,536870919]],["^15",[269,"^V",290,536870919]],["^15",[269,"^U",259,536870919]],["^15",[269,"^;","~u686c5fe9-4a0a-424f-b7b0-05b971903d5d",536870919]],["^15",[270,"^Q","### Domains as Iframes\n ![](https://nextcloud.urmel.duckdns.org/apps/text/image?documentId=2852&sessionId=895&sessionToken=vbMVkIDUFi94FiL%2B2N5umrWqoB5nFNEI1al4rvKqSGbn0LP2kFrrt%2BaZ6OsTUYaY&imageFileName=image.png){:height 1032, :width 776}",536870919]],["^15",[270,"^O","^16",536870919]],["^15",[270,"^F",287,536870919]],["^15",[270,"^X",259,536870919]],["^15",[270,"^V",259,536870919]],["^15",[270,"^U",259,536870919]],["^15",[270,"^?",["^ ","^1;",3],536870919]],["^15",[270,"^J",[],536870919]],["^15",[270,"^;","~u686c5fe9-178f-42f3-a898-ed796a5af822",536870919]],["^15",[271,"^Q","**Summery**:\nbackground-color:: blue",536870919]],["^15",[271,"^O","^16",536870919]],["^15",[271,"^F",280,536870919]],["^15",[271,"^X",259,536870919]],["^15",[271,"^V",264,536870919]],["^15",[271,"^U",259,536870919]],["^15",[271,"^?",["^ ","^1=","blue"],536870919]],["^15",[271,"^J",["^1="],536870919]],["^15",[271,"^4",["^ ","^1=","blue"],536870919]],["^15",[271,"^;","~u686c5fe9-fd9e-4133-aae7-b2b34b41ae8f",536870919]],["^15",[272,"^Q","",536870919]],["^15",[272,"^O","^16",536870919]],["^15",[272,"^F",282,536870919]],["^15",[272,"^X",259,536870919]],["^15",[272,"^V",259,536870919]],["^15",[272,"^U",259,536870919]],["^15",[272,"^;","~u686c5fe9-1fb2-453f-a4b8-463f947d98b2",536870919]],["^15",[273,"^Q","On crash a explicit restart on Server side of the Service may be required",536870919]],["^15",[273,"^O","^16",536870919]],["^15",[273,"^F",283,536870919]],["^15",[273,"^X",259,536870919]],["^15",[273,"^V",283,536870919]],["^15",[273,"^U",259,536870919]],["^15",[273,"^;","~u686c5fe9-44a2-4db6-8e90-8dfd0f5ad55c",536870919]],["^15",[274,"^Q","https://forum.onlyoffice.com/t/hide-deactivate-welcome-page/566/4",536870919]],["^15",[274,"^O","^16",536870919]],["^15",[274,"^F",286,536870919]],["^15",[274,"^X",259,536870919]],["^15",[274,"^V",286,536870919]],["^15",[274,"^U",259,536870919]],["^15",[274,"^;","~u686c5fe9-acb1-4c8e-9872-6b8d255fd430",536870919]],["^15",[275,"^Q","apt update && apt -y install ffmpeg",536870919]],["^15",[275,"^O","^16",536870919]],["^15",[275,"^F",292,536870919]],["^15",[275,"^X",259,536870919]],["^15",[275,"^V",292,536870919]],["^15",[275,"^U",259,536870919]],["^15",[275,"^;","~u686c5fe9-2fca-423e-851c-31ad0c2a587d",536870919]],["^15",[276,"^Q","{{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Server/Nextcloud Notes]]) (namespace [[Server/Nextcloud Notes]])))}}",536870919]],["^15",[276,"^O","^16",536870919]],["^15",[276,"^F",280,536870919]],["^15",[276,"^S",294,536870919]],["^15",[276,"^X",259,536870919]],["^15",[276,"^V",280,536870919]],["^15",[276,"^U",259,536870919]],["^15",[276,"^;","~u686c5fe9-ab0a-4b71-88d7-287a83c5a458",536870919]],["^15",[277,"^Q","https://help.nextcloud.com/t/nextcloud-docker-container-best-way-to-run-cron-job/157734/3",536870919]],["^15",[277,"^O","^16",536870919]],["^15",[277,"^F",285,536870919]],["^15",[277,"^X",259,536870919]],["^15",[277,"^V",285,536870919]],["^15",[277,"^U",259,536870919]],["^15",[277,"^;","~u686c5fe9-8b49-402c-a4c9-3398e8f63235",536870919]],["^15",[278,"^Q","---",536870919]],["^15",[278,"^O","^16",536870919]],["^15",[278,"^F",264,536870919]],["^15",[278,"^X",259,536870919]],["^15",[278,"^V",259,536870919]],["^15",[278,"^U",259,536870919]],["^15",[278,"^;","~u686c5fe9-9fbb-426a-8bfb-1430b604898c",536870919]],["^15",[279,"^Q","### Custom CSS\n\n```scss\n@use 'sass:color';\n/* Latte Theme */\n$latte-rosewater: rgb(220, 138, 120);\n$latte-flamingo: rgb(221, 120, 120);\n$latte-pink: rgb(234, 118, 203);\n$latte-mauve: rgb(136, 57, 239);\n$latte-red: rgb(210, 15, 57);\n$latte-maroon: rgb(230, 69, 83);\n$latte-peach: rgb(254, 100, 11);\n$latte-yellow: rgb(223, 142, 29);\n$latte-green: rgb(64, 160, 43);\n$latte-teal: rgb(23, 146, 153);\n$latte-sky: rgb(4, 165, 229);\n$latte-sapphire: rgb(32, 159, 181);\n$latte-blue: rgb(30, 102, 245);\n$latte-lavender: rgb(114, 135, 253);\n$latte-text: rgb(76, 79, 105);\n$latte-subtext1: rgb(92, 95, 119);\n$latte-subtext0: rgb(108, 111, 133);\n$latte-overlay2: rgb(124, 127, 147);\n$latte-overlay1: rgb(140, 143, 161);\n$latte-overlay0: rgb(156, 160, 176);\n$latte-surface2: rgb(172, 176, 190);\n$latte-surface1: rgb(188, 192, 204);\n$latte-surface0: rgb(204, 208, 218);\n$latte-base: rgb(239, 241, 245);\n$latte-mantle: rgb(230, 233, 239);\n$latte-crust: rgb(220, 224, 232);\n\n/* Frappe Theme */\n$frappe-rosewater: rgb(242, 213, 207); \n$frappe-flamingo: rgb(238, 190, 190);\n$frappe-pink: rgb(244, 184, 228);\n$frappe-mauve: rgb(202, 158, 230);\n$frappe-red: rgb(231, 130, 132);\n$frappe-maroon: rgb(234, 153, 156);\n$frappe-peach: rgb(239, 159, 118);\n$frappe-yellow: rgb(229, 200, 144);\n$frappe-green: rgb(166, 209, 137);\n$frappe-teal: rgb(129, 200, 190);\n$frappe-sky: rgb(153, 209, 219);\n$frappe-sapphire: rgb(133, 193, 220);\n$frappe-blue: rgb(140, 170, 238);\n$frappe-lavender: rgb(186, 187, 241);\n$frappe-text: rgb(198, 208, 245);\n$frappe-subtext1: rgb(181, 191, 226);\n$frappe-subtext0: rgb(165, 173, 206);\n$frappe-overlay2: rgb(148, 156, 187);\n$frappe-overlay1: rgb(131, 139, 167);\n$frappe-overlay0: rgb(115, 121, 148);\n$frappe-surface2: rgb(98, 104, 128);\n$frappe-surface1: rgb(81, 87, 109);\n$frappe-surface0: rgb(65, 69, 89);\n$frappe-base: rgb(48, 52, 70);\n$frappe-mantle: rgb(41, 44, 60);\n$frappe-crust: rgb(35, 38, 52);\n\n/* Macchiato Theme */\n$macchiato-rosewater: rgb(244, 219, 214);\n$macchiato-flamingo: rgb(240, 198, 198);\n$macchiato-pink: rgb(245, 189, 230);\n$macchiato-mauve: rgb(198, 160, 246);\n$macchiato-red: rgb(237, 135, 150);\n$macchiato-maroon: rgb(238, 153, 160);\n$macchiato-peach: rgb(245, 169, 127);\n$macchiato-yellow: rgb(238, 212, 159);\n$macchiato-green: rgb(166, 218, 149);\n$macchiato-teal: rgb(139, 213, 202);\n$macchiato-sky: rgb(145, 215, 227);\n$macchiato-sapphire: rgb(125, 196, 228);\n$macchiato-blue: rgb(138, 173, 244);\n$macchiato-lavender: rgb(183, 189, 248);\n$macchiato-text: rgb(202, 211, 245);\n$macchiato-subtext1: rgb(184, 192, 224);\n$macchiato-subtext0: rgb(165, 173, 203);\n$macchiato-overlay2: rgb(147, 154, 183);\n$macchiato-overlay1: rgb(128, 135, 162);\n$macchiato-overlay0: rgb(110, 115, 141);\n$macchiato-surface2: rgb(91, 96, 120);\n$macchiato-surface1: rgb(73, 77, 100);\n$macchiato-surface0: rgb(54, 58, 79);\n$macchiato-base: rgb(36, 39, 58);\n$macchiato-mantle: rgb(30, 32, 48);\n$macchiato-crust: rgb(24, 25, 38);\n\n/* Mocha Theme */\n$mocha-rosewater: rgb(245, 224, 220);\n$mocha-flamingo: rgb(242, 205, 205);\n$mocha-pink: rgb(245, 194, 231);\n$mocha-mauve: rgb(203, 166, 247);\n$mocha-red: rgb(243, 139, 168);\n$mocha-maroon: rgb(235, 160, 172);\n$mocha-peach: rgb(250, 179, 135);\n$mocha-yellow: rgb(249, 226, 175);\n$mocha-green: rgb(166, 227, 161);\n$mocha-teal: rgb(148, 226, 213);\n$mocha-sky: rgb(137, 220, 235);\n$mocha-sapphire: rgb(116, 199, 236);\n$mocha-blue: rgb(137, 180, 250);\n$mocha-lavender: rgb(180, 190, 254);\n$mocha-text: rgb(205, 214, 244);\n$mocha-subtext1: rgb(186, 194, 222);\n$mocha-subtext0: rgb(166, 173, 200);\n$mocha-overlay2: rgb(147, 153, 178);\n$mocha-overlay1: rgb(127, 132, 156);\n$mocha-overlay0: rgb(108, 112, 134);\n$mocha-surface2: rgb(88, 91, 112);\n$mocha-surface1: rgb(69, 71, 90);\n$mocha-surface0: rgb(49, 50, 68);\n$mocha-base: rgb(30, 30, 46);\n$mocha-mantle: rgb(24, 24, 37);\n$mocha-crust: rgb(17, 17, 27);\n\n\n[data-theme-light] {\n//+0.05,\n    --color-main-background: #{rgba($latte-base, 0.93)} ;\n    --color-main-background-rgb: #{$latte-base};\n    --color-main-background-translucent: #{rgba($latte-base, .97)};\n    --color-main-background-blur: #{rgba($latte-base, .8)};\n    --filter-background-blur: #{blur(25px)};\n    --gradient-main-background: var(--color-main-background) 0%, var(--color-main-background-translucent) 85%, transparent 100%;\n    --color-background-hover: #{$latte-surface1};\n    --color-background-dark:  #{color.scale($latte-surface0, $lightness: 5%)};\n    --color-background-darker: #{$latte-surface0};\n    --color-placeholder-light: #{color.scale($latte-surface2, $lightness: 5%)};\n    --color-placeholder-dark: #{$latte-surface2};\n    --color-main-text: #{$latte-text};\n    --color-text-maxcontrast: #{$latte-subtext1};\n    --color-text-maxcontrast-default: #{color.scale($latte-subtext0, $lightness: 5%)};\n    --color-text-maxcontrast-background-blur: #{$latte-subtext0};\n    --color-text-light: #{var(--color-main-text)};\n    --color-text-lighter: #{var(--color-text-maxcontrast)};\n    --color-scrollbar: #{$latte-mauve};\n    --color-error: #{$latte-red};\n    --color-error-rgb: #{$latte-red};\n    --color-error-hover: #{color.scale($latte-red, $lightness: 5%)};\n    --color-error-text: #{color.scale($latte-red, $lightness: -10%)};\n    --color-warning: #{$latte-peach};\n    --color-warning-rgb: #{$latte-peach};\n    --color-warning-hover: #{color.scale($latte-peach, $lightness: 5%)};\n    --color-warning-text: #{color.scale($latte-peach, $lightness: -10%)};\n    --color-success: #{$latte-green};\n    --color-success-rgb: #{$latte-green};\n    --color-success-hover: #{color.scale($latte-green, $lightness: 5%)};\n    --color-success-text: #{color.scale($latte-green, $lightness: -10%)};\n    --color-info: #{$latte-blue};\n    --color-info-rgb: #{$latte-blue};\n    --color-info-hover: #{color.scale($latte-blue, $lightness: 5%)};\n    --color-info-text: #{color.scale($latte-blue, $lightness: -10%)};\n    --color-loading-light: #{$latte-overlay0};\n    --color-loading-dark: #{$latte-subtext1};\n    --color-box-shadow-rgb: #{color.scale($latte-crust, $lightness: 10%)};\n    --color-box-shadow: #{color.scale($latte-crust, $lightness: 15%)};\n    --color-border: #{$latte-crust};\n    --color-border-dark: #{color.scale($latte-crust, $lightness: 5%)};\n    --color-border-maxcontrast: #{color.scale($latte-crust, $lightness: -10%)};\n\n\n    --color-primary: #{$latte-maroon};\n    --color-primary-default: #{$latte-maroon};\n    --color-primary-text: #{$latte-crust};\n    --color-primary-hover: #{color.scale($latte-maroon, $lightness: -5%)};\n  \n    --color-primary-light: #{$latte-green};\n    --color-primary-light-text: #{$latte-crust};\n    --color-primary-light-hover: #{color.scale($latte-green, $lightness: -5%)};\n  \n    --color-primary-element: #{$latte-maroon};\n    --color-primary-element-hover: #{color.scale($latte-maroon, $lightness: -5%)};\n    --color-primary-element-text: #{$latte-crust};\n    --color-primary-element-text-dark: #{$latte-mantle};\n  \n    --color-primary-element-light: #{$latte-blue};\n    --color-primary-element-light-hover: #{color.scale($latte-blue, $lightness: -5%)};\n    --color-primary-element-light-text: #{$latte-crust};\n    --gradient-primary-background: linear-gradient(40deg, var(--color-primary) 0%, var(--color-primary-hover) 100%);\n    \n    //Unchanged\n    --font-face: system-ui, -apple-system, \"Segoe UI\", Roboto, Oxygen-Sans, Cantarell, Ubuntu, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n    --default-font-size: 15px;\n    --animation-quick: 100ms;\n    --animation-slow: 300ms;\n    --border-radius: 3px;\n    --border-radius-large: 10px;\n    --border-radius-rounded: 28px;\n    --border-radius-pill: 100px;\n    --default-clickable-area: 44px;\n    --default-line-height: 24px;\n    --default-grid-baseline: 4px;\n    --header-height: 50px;\n    --navigation-width: 300px;\n    --sidebar-min-width: 300px;\n    --sidebar-max-width: 500px;\n    --list-min-width: 200px;\n    --list-max-width: 300px;\n    --header-menu-item-height: 44px;\n    --header-menu-profile-item-height: 66px;\n    --breakpoint-mobile: 1024px;\n    --background-invert-if-dark: invert(100%);\n    --background-invert-if-bright: no;\n    --background-image-invert-if-bright: no;\n    --primary-invert-if-bright: no;\n    --primary-invert-if-dark: invert(100%);\n}\n[data-theme-dark] {\n//+0.05,\n  --color-main-background: #{rgba($frappe-base, 0.93)} ;\n  --color-main-background-rgb: #{$frappe-base};\n  --color-main-background-translucent: #{rgba($frappe-base, .97)};\n  --color-main-background-blur: #{rgba($frappe-base, .8)};\n  --filter-background-blur: #{blur(25px)};\n  --gradient-main-background: var(--color-main-background) 0%, var(--color-main-background-translucent) 85%, transparent 100%;\n  --color-background-hover: #{$frappe-surface1};\n  --color-background-dark:  #{color.scale($frappe-surface0, $lightness: 5%)};\n  --color-background-darker: #{$frappe-surface0};\n  --color-placeholder-light: #{color.scale($frappe-surface2, $lightness: 5%)};\n  --color-placeholder-dark: #{$frappe-surface2};\n  --color-main-text: #{$frappe-text};\n  --color-text-maxcontrast: #{$frappe-subtext1};\n  --color-text-maxcontrast-default: #{color.scale($frappe-subtext0, $lightness: 5%)};\n  --color-text-maxcontrast-background-blur: #{$frappe-subtext0};\n  --color-text-light: #{var(--color-main-text)};\n  --color-text-lighter: #{var(--color-text-maxcontrast)};\n  --color-scrollbar: #{$frappe-mauve};\n  --color-error: #{$frappe-red};\n  --color-error-rgb: #{$frappe-red};\n  --color-error-hover: #{color.scale($frappe-red, $lightness: 5%)};\n  --color-error-text: #{color.scale($frappe-red, $lightness: -10%)};\n  --color-warning: #{$frappe-peach};\n  --color-warning-rgb: #{$frappe-peach};\n  --color-warning-hover: #{color.scale($frappe-peach, $lightness: 5%)};\n  --color-warning-text: #{color.scale($frappe-peach, $lightness: -10%)};\n  --color-success: #{$frappe-green};\n  --color-success-rgb: #{$frappe-green};\n  --color-success-hover: #{color.scale($frappe-green, $lightness: 5%)};\n  --color-success-text: #{color.scale($frappe-green, $lightness: -10%)};\n  --color-info: #{$frappe-blue};\n  --color-info-rgb: #{$frappe-blue};\n  --color-info-hover: #{color.scale($frappe-blue, $lightness: 5%)};\n  --color-info-text: #{color.scale($frappe-blue, $lightness: -10%)};\n  --color-loading-light: #{$frappe-overlay0};\n  --color-loading-dark: #{$frappe-subtext1};\n  --color-box-shadow-rgb: #{color.scale($frappe-crust, $lightness: 10%)};\n  --color-box-shadow: #{color.scale($frappe-crust, $lightness: 15%)};\n  --color-border: #{$frappe-crust};\n  --color-border-dark: #{color.scale($frappe-crust, $lightness: 5%)};\n  --color-border-maxcontrast: #{color.scale($frappe-crust, $lightness: -10%)};\n\n\n  --color-primary: #{$frappe-maroon};\n  --color-primary-default: #{$frappe-maroon};\n  --color-primary-text: #{$frappe-crust};\n  --color-primary-hover: #{color.scale($frappe-maroon, $lightness: -5%)};\n\n  --color-primary-light: #{$frappe-green};\n  --color-primary-light-text: #{$frappe-crust};\n  --color-primary-light-hover: #{color.scale($frappe-green, $lightness: -5%)};\n\n  --color-primary-element: #{$frappe-maroon};\n  --color-primary-element-hover: #{color.scale($frappe-maroon, $lightness: -5%)};\n  --color-primary-element-text: #{$frappe-crust};\n  --color-primary-element-text-dark: #{$frappe-mantle};\n\n  --color-primary-element-light: #{$frappe-blue};\n  --color-primary-element-light-hover: #{color.scale($frappe-blue, $lightness: -5%)};\n  --color-primary-element-light-text: #{$frappe-crust};\n  --gradient-primary-background: linear-gradient(40deg, var(--color-primary) 0%, var(--color-primary-hover) 100%);\n  \n  //Unchanged\n  --font-face: system-ui, -apple-system, \"Segoe UI\", Roboto, Oxygen-Sans, Cantarell, Ubuntu, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n  --default-font-size: 15px;\n  --animation-quick: 100ms;\n  --animation-slow: 300ms;\n  --border-radius: 3px;\n  --border-radius-large: 10px;\n  --border-radius-rounded: 28px;\n  --border-radius-pill: 100px;\n  --default-clickable-area: 44px;\n  --default-line-height: 24px;\n  --default-grid-baseline: 4px;\n  --header-height: 50px;\n  --navigation-width: 300px;\n  --sidebar-min-width: 300px;\n  --sidebar-max-width: 500px;\n  --list-min-width: 200px;\n  --list-max-width: 300px;\n  --header-menu-item-height: 44px;\n  --header-menu-profile-item-height: 66px;\n  --breakpoint-mobile: 1024px;\n  --background-invert-if-dark: invert(100%);\n  --background-invert-if-bright: no;\n  --background-image-invert-if-bright: no;\n  --primary-invert-if-bright: no;\n  --primary-invert-if-dark: invert(100%);\n}\n[data-theme-dark-highcontrast] {\n//+0.05,\n    --color-main-background: #{rgba($mocha-base, 0.93)} ;\n    --color-main-background-rgb: #{$mocha-base};\n    --color-main-background-translucent: #{rgba($mocha-base, .97)};\n    --color-main-background-blur: #{rgba($mocha-base, .8)};\n    --filter-background-blur: #{blur(25px)};\n    --gradient-main-background: var(--color-main-background) 0%, var(--color-main-background-translucent) 85%, transparent 100%;\n    --color-background-hover: #{$mocha-surface1};\n    --color-background-dark:  #{color.scale($mocha-surface0, $lightness: 5%)};\n    --color-background-darker: #{$mocha-surface0};\n    --color-placeholder-light: #{color.scale($mocha-surface2, $lightness: 5%)};\n    --color-placeholder-dark: #{$mocha-surface2};\n    --color-main-text: #{$mocha-text};\n    --color-text-maxcontrast: #{$mocha-subtext1};\n    --color-text-maxcontrast-default: #{color.scale($mocha-subtext0, $lightness: 5%)};\n    --color-text-maxcontrast-background-blur: #{$mocha-subtext0};\n    --color-text-light: #{var(--color-main-text)};\n    --color-text-lighter: #{var(--color-text-maxcontrast)};\n    --color-scrollbar: #{$mocha-mauve};\n    --color-error: #{$mocha-red};\n    --color-error-rgb: #{$mocha-red};\n    --color-error-hover: #{color.scale($mocha-red, $lightness: 5%)};\n    --color-error-text: #{color.scale($mocha-red, $lightness: -10%)};\n    --color-warning: #{$mocha-peach};\n    --color-warning-rgb: #{$mocha-peach};\n    --color-warning-hover: #{color.scale($mocha-peach, $lightness: 5%)};\n    --color-warning-text: #{color.scale($mocha-peach, $lightness: -10%)};\n    --color-success: #{$mocha-green};\n    --color-success-rgb: #{$mocha-green};\n    --color-success-hover: #{color.scale($mocha-green, $lightness: 5%)};\n    --color-success-text: #{color.scale($mocha-green, $lightness: -10%)};\n    --color-info: #{$mocha-blue};\n    --color-info-rgb: #{$mocha-blue};\n    --color-info-hover: #{color.scale($mocha-blue, $lightness: 5%)};\n    --color-info-text: #{color.scale($mocha-blue, $lightness: -10%)};\n    --color-loading-light: #{$mocha-overlay0};\n    --color-loading-dark: #{$mocha-subtext1};\n    --color-box-shadow-rgb: #{color.scale($mocha-crust, $lightness: 10%)};\n    --color-box-shadow: #{color.scale($mocha-crust, $lightness: 15%)};\n    --color-border: #{$mocha-crust};\n    --color-border-dark: #{color.scale($mocha-crust, $lightness: 5%)};\n    --color-border-maxcontrast: #{color.scale($mocha-crust, $lightness: -10%)};\n\n\n    --color-primary: #{$mocha-maroon};\n    --color-primary-default: #{$mocha-maroon};\n    --color-primary-text: #{$mocha-crust};\n    --color-primary-hover: #{color.scale($mocha-maroon, $lightness: -5%)};\n  \n    --color-primary-light: #{$mocha-green};\n    --color-primary-light-text: #{$mocha-crust};\n    --color-primary-light-hover: #{color.scale($mocha-green, $lightness: -5%)};\n  \n    --color-primary-element: #{$mocha-maroon};\n    --color-primary-element-hover: #{color.scale($mocha-maroon, $lightness: -5%)};\n    --color-primary-element-text: #{$mocha-crust};\n    --color-primary-element-text-dark: #{$mocha-mantle};\n  \n    --color-primary-element-light: #{$mocha-blue};\n    --color-primary-element-light-hover: #{color.scale($mocha-blue, $lightness: -5%)};\n    --color-primary-element-light-text: #{$mocha-crust};\n    --gradient-primary-background: linear-gradient(40deg, var(--color-primary) 0%, var(--color-primary-hover) 100%);\n    \n    //Unchanged\n    --font-face: system-ui, -apple-system, \"Segoe UI\", Roboto, Oxygen-Sans, Cantarell, Ubuntu, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n    --default-font-size: 15px;\n    --animation-quick: 100ms;\n    --animation-slow: 300ms;\n    --border-radius: 3px;\n    --border-radius-large: 10px;\n    --border-radius-rounded: 28px;\n    --border-radius-pill: 100px;\n    --default-clickable-area: 44px;\n    --default-line-height: 24px;\n    --default-grid-baseline: 4px;\n    --header-height: 50px;\n    --navigation-width: 300px;\n    --sidebar-min-width: 300px;\n    --sidebar-max-width: 500px;\n    --list-min-width: 200px;\n    --list-max-width: 300px;\n    --header-menu-item-height: 44px;\n    --header-menu-profile-item-height: 66px;\n    --breakpoint-mobile: 1024px;\n    --background-invert-if-dark: invert(100%);\n    --background-invert-if-bright: no;\n    --background-image-invert-if-bright: no;\n    --primary-invert-if-bright: no;\n    --primary-invert-if-dark: invert(100%);\n}\n[data-theme-light-highcontrast] {\n//+0.05,\n    --color-main-background: #{rgba($macchiato-base, 0.93)} ;\n    --color-main-background-rgb: #{$macchiato-base};\n    --color-main-background-translucent: #{rgba($macchiato-base, .97)};\n    --color-main-background-blur: #{rgba($macchiato-base, .8)};\n    --filter-background-blur: #{blur(25px)};\n    --gradient-main-background: var(--color-main-background) 0%, var(--color-main-background-translucent) 85%, transparent 100%;\n    --color-background-hover: #{$macchiato-surface1};\n    --color-background-dark:  #{color.scale($macchiato-surface0, $lightness: 5%)};\n    --color-background-darker: #{$macchiato-surface0};\n    --color-placeholder-light: #{color.scale($macchiato-surface2, $lightness: 5%)};\n    --color-placeholder-dark: #{$macchiato-surface2};\n    --color-main-text: #{$macchiato-text};\n    --color-text-maxcontrast: #{$macchiato-subtext1};\n    --color-text-maxcontrast-default: #{color.scale($macchiato-subtext0, $lightness: 5%)};\n    --color-text-maxcontrast-background-blur: #{$macchiato-subtext0};\n    --color-text-light: #{var(--color-main-text)};\n    --color-text-lighter: #{var(--color-text-maxcontrast)};\n    --color-scrollbar: #{$macchiato-mauve};\n    --color-error: #{$macchiato-red};\n    --color-error-rgb: #{$macchiato-red};\n    --color-error-hover: #{color.scale($macchiato-red, $lightness: 5%)};\n    --color-error-text: #{color.scale($macchiato-red, $lightness: -10%)};\n    --color-warning: #{$macchiato-peach};\n    --color-warning-rgb: #{$macchiato-peach};\n    --color-warning-hover: #{color.scale($macchiato-peach, $lightness: 5%)};\n    --color-warning-text: #{color.scale($macchiato-peach, $lightness: -10%)};\n    --color-success: #{$macchiato-green};\n    --color-success-rgb: #{$macchiato-green};\n    --color-success-hover: #{color.scale($macchiato-green, $lightness: 5%)};\n    --color-success-text: #{color.scale($macchiato-green, $lightness: -10%)};\n    --color-info: #{$macchiato-blue};\n    --color-info-rgb: #{$macchiato-blue};\n    --color-info-hover: #{color.scale($macchiato-blue, $lightness: 5%)};\n    --color-info-text: #{color.scale($macchiato-blue, $lightness: -10%)};\n    --color-loading-light: #{$macchiato-overlay0};\n    --color-loading-dark: #{$macchiato-subtext1};\n    --color-box-shadow-rgb: #{color.scale($macchiato-crust, $lightness: 10%)};\n    --color-box-shadow: #{color.scale($macchiato-crust, $lightness: 15%)};\n    --color-border: #{$macchiato-crust};\n    --color-border-dark: #{color.scale($macchiato-crust, $lightness: 5%)};\n    --color-border-maxcontrast: #{color.scale($macchiato-crust, $lightness: -10%)};\n\n\n    --color-primary: #{$macchiato-maroon};\n    --color-primary-default: #{$macchiato-maroon};\n    --color-primary-text: #{$macchiato-crust};\n    --color-primary-hover: #{color.scale($macchiato-maroon, $lightness: -5%)};\n  \n    --color-primary-light: #{$macchiato-green};\n    --color-primary-light-text: #{$macchiato-crust};\n    --color-primary-light-hover: #{color.scale($macchiato-green, $lightness: -5%)};\n  \n    --color-primary-element: #{$macchiato-maroon};\n    --color-primary-element-hover: #{color.scale($macchiato-maroon, $lightness: -5%)};\n    --color-primary-element-text: #{$macchiato-crust};\n    --color-primary-element-text-dark: #{$macchiato-mantle};\n  \n    --color-primary-element-light: #{$macchiato-blue};\n    --color-primary-element-light-hover: #{color.scale($macchiato-blue, $lightness: -5%)};\n    --color-primary-element-light-text: #{$macchiato-crust};\n    --gradient-primary-background: linear-gradient(40deg, var(--color-primary) 0%, var(--color-primary-hover) 100%);\n    \n    //Unchanged\n    --font-face: system-ui, -apple-system, \"Segoe UI\", Roboto, Oxygen-Sans, Cantarell, Ubuntu, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n    --default-font-size: 15px;\n    --animation-quick: 100ms;\n    --animation-slow: 300ms;\n    --border-radius: 3px;\n    --border-radius-large: 10px;\n    --border-radius-rounded: 28px;\n    --border-radius-pill: 100px;\n    --default-clickable-area: 44px;\n    --default-line-height: 24px;\n    --default-grid-baseline: 4px;\n    --header-height: 50px;\n    --navigation-width: 300px;\n    --sidebar-min-width: 300px;\n    --sidebar-max-width: 500px;\n    --list-min-width: 200px;\n    --list-max-width: 300px;\n    --header-menu-item-height: 44px;\n    --header-menu-profile-item-height: 66px;\n    --breakpoint-mobile: 1024px;\n    --background-invert-if-dark: invert(100%);\n    --background-invert-if-bright: no;\n    --background-image-invert-if-bright: no;\n    --primary-invert-if-bright: no;\n    --primary-invert-if-dark: invert(100%);\n}\n\n/*Theme selection hide old description*/\n.theming__preview .checkbox-radio-switch__text,\n.theming__preview--light h3, .theming__preview--light p,\n.theming__preview--dark h3, .theming__preview--dark p,\n.theming__preview--light-highcontrast h3, .theming__preview--light-highcontrast p,\n.theming__preview--dark-highcontrast h3, .theming__preview--dark-highcontrast p {\nvisibility: hidden;\n}\n\n//Replace old radio btn. lable\n.theming__preview .checkbox-radio-switch__text::before {\nvisibility: visible;\ncontent: \"Enable this theme\";\n}\n\n//Show new theme description\n.theming__preview--light h3::before {\ncontent: \"Latte theme\";\nvisibility: visible;\n}\n.theming__preview--light p::before {\ncontent: \"The catppuccino light theme\";\nvisibility: visible;\n}\n.theming__preview--light .theming__preview-image,\n.theming__preview--dark .theming__preview-image,\n.theming__preview--light-highcontrast .theming__preview-image,\n.theming__preview--dark-highcontrast .theming__preview-image {\n//background-image: TODO; !important;\ndisplay: none;\n}\n\n//Show new theme description\n.theming__preview--dark h3::before {\ncontent: \"Frappe Theme\";\nvisibility: visible;\n}\n.theming__preview--dark p::before {\ncontent: \"The milde and cozy catppuccino dark theme\";\nvisibility: visible;\n}\n\n//Show new theme description\n.theming__preview--light-highcontrast h3::before {\ncontent: \"Macchiato Theme\";\nvisibility: visible;\n}\n.theming__preview--light-highcontrast p::before {\ncontent: \"Catpuccinos perfect mix between Mocha and Frappe\";\nvisibility: visible;\n}\n\n//Show new theme description\n.theming__preview--dark-highcontrast h3::before {\ncontent: \"Mocha Theme\";\nvisibility: visible;\n}\n.theming__preview--dark-highcontrast p::before {\ncontent: \"Catppuccinos dark theme withe bright colors\";\nvisibility: visible;\n}\n\n\n/*Setting left nav Pannel to be transparent without blur*/\n.app-navigation {\nbackground-color: var(--color-main-background) !important;\nbackdrop-filter: None !important;\n}\n\n/*Setting markdown editor link color to primary light*/\n.paragraph-content a {\ncolor: var(--color-primary-element-light) !important; \n}\n\n/*Fixing Dashboards toggel item widget visibility (e.g. weather)*/\n.action-item__menutoggle{\nbackground-color: var(--color-primary-element-light) !important;\n}\n/*Fixing Dashboard Welcome msg visibility*/\n.app-dashboard h2:nth-child(1) {\ncolor: var(--color-main-text) !important;\n}\n\n/*Fixing Mail sidebar 1 text visibility when selected*/\n.app-navigation-entry.active a{\ncolor: var(--color-primary-element-text) !important;\n}\n/*Fixing Mail sidebar 2 text visibility when selected*/\n.list-item__wrapper.list-item__wrapper--active .list-item-content__main span,\n.list-item__wrapper.list-item__wrapper--active .list-item-content__main span .envelope__preview-text{\ncolor: var(--color-primary-element-text) !important;\n}\n\n/*Fixing visibility of left header label and right header icons*/\n.header-right .header-menu button,\n.headeu-main li .app-menu-entry--label{\ncolor: var(--color-main-text) !important;\n}\nr-right .header-menu .unified-search__button[data-v-3883344d],\n.app-men\n```\n\n---\n\n```\n/*Fixing share link folder icon*/\n.files-public-content .thumbnail\n{\n  filter: brightness(0) saturate(100%) invert(93%) sepia(17%) saturate(7243%) hue-rotate(295deg) brightness(97%) contrast(89%);\n}\n\n.files-public-content .files-fileList .date {\ncolor: var(--color-main-text) !important;\n}\n```",536870919]],["^15",[279,"^O","^16",536870919]],["^15",[279,"^F",292,536870919]],["^15",[279,"^X",259,536870919]],["^15",[279,"^V",259,536870919]],["^15",[279,"^U",259,536870919]],["^15",[279,"^?",["^ ","^1;",3],536870919]],["^15",[279,"^J",[],536870919]],["^15",[279,"^;","~u686c5fe9-6d13-4b0c-8391-b3b5c052c4f2",536870919]],["^15",[280,"^Q","**Slides:**\nbackground-color:: green",536870919]],["^15",[280,"^O","^16",536870919]],["^15",[280,"^F",263,536870919]],["^15",[280,"^X",259,536870919]],["^15",[280,"^V",264,536870919]],["^15",[280,"^U",259,536870919]],["^15",[280,"^?",["^ ","^1=","green"],536870919]],["^15",[280,"^J",["^1="],536870919]],["^15",[280,"^4",["^ ","^1=","green"],536870919]],["^15",[280,"^;","~u686c5fe9-c046-40c7-a9a0-76fe78867749",536870919]],["^15",[281,"^Q","Additional Tags: #Nextcloud #Onlyoffice",536870919]],["^15",[281,"^O","^16",536870919]],["^15",[281,"^F",264,536870919]],["^15",[281,"^X",259,536870919]],["^15",[281,"^V",264,536870919]],["^15",[281,"^U",259,536870919]],["^15",[281,"^U",260,536870919]],["^15",[281,"^U",261,536870919]],["^15",[281,"^H",260,536870919]],["^15",[281,"^H",261,536870919]],["^15",[281,"^;","~u686c5fe9-4873-477b-ab91-482c5b43e477",536870919]],["^15",[282,"^Q","[[Server/Nextcloud Notes/test]]",536870919]],["^15",[282,"^O","^16",536870919]],["^15",[282,"^F",278,536870919]],["^15",[282,"^X",259,536870919]],["^15",[282,"^V",259,536870919]],["^15",[282,"^U",245,536870919]],["^15",[282,"^U",259,536870919]],["^15",[282,"^U",262,536870919]],["^15",[282,"^H",245,536870919]],["^15",[282,"^H",259,536870919]],["^15",[282,"^H",262,536870919]],["^15",[282,"^;","~u686c5fe9-ebe3-4827-951f-e60ce89bde72",536870919]],["^15",[283,"^Q","#### President data in NSF",536870919]],["^15",[283,"^O","^16",536870919]],["^15",[283,"^F",272,536870919]],["^15",[283,"^X",259,536870919]],["^15",[283,"^V",259,536870919]],["^15",[283,"^U",259,536870919]],["^15",[283,"^?",["^ ","^1;",4],536870919]],["^15",[283,"^J",[],536870919]],["^15",[283,"^;","~u686c5fe9-cd0c-4c7a-804f-308dd3e7bc53",536870919]],["^15",[284,"^Q","in /etc/nginx/includes/ds-docservice.conf rem out the first line then add:",536870919]],["^15",[284,"^O","^16",536870919]],["^15",[284,"^F",290,536870919]],["^15",[284,"^X",259,536870919]],["^15",[284,"^V",290,536870919]],["^15",[284,"^U",259,536870919]],["^15",[284,"^;","~u686c5fe9-1b8c-4d76-afaf-e6c8ef7b2645",536870919]],["^15",[285,"^Q","/5 \\* \\* \\* \\* docker exec -u www-data nextcloud-app-1 php --define memory_limit=2048M /var/www/html/cron.php",536870919]],["^15",[285,"^O","^16",536870919]],["^15",[285,"^F",266,536870919]],["^15",[285,"^X",259,536870919]],["^15",[285,"^V",287,536870919]],["^15",[285,"^U",259,536870919]],["^15",[285,"^;","~u686c5fe9-82db-4eb0-9d1c-6507f9fd551e",536870919]],["^15",[286,"^Q","You get a \" 404 Not Found\". Editing docs from onlyoffice still works.  This change will survive updates if you keep the same  ds-docservice.conf. I don’t use docker but this file is never touched  during “apt” upgrades.",536870919]],["^15",[286,"^O","^16",536870919]],["^15",[286,"^F",269,536870919]],["^15",[286,"^X",259,536870919]],["^15",[286,"^V",290,536870919]],["^15",[286,"^U",259,536870919]],["^15",[286,"^;","~u686c5fe9-b3d2-4748-a17a-eb2cb15369ab",536870919]],["^15",[287,"^Q","### Crontabs",536870919]],["^15",[287,"^O","^16",536870919]],["^15",[287,"^F",265,536870919]],["^15",[287,"^X",259,536870919]],["^15",[287,"^V",259,536870919]],["^15",[287,"^U",259,536870919]],["^15",[287,"^?",["^ ","^1;",3],536870919]],["^15",[287,"^J",[],536870919]],["^15",[287,"^;","~u686c5fe9-09dc-4996-b8eb-c59dd050448e",536870919]],["^15",[288,"^Q","from https://help.nextcloud.com/t/nextcloud-docker-compose-with-ffmpeg-example/143964/2###",536870919]],["^15",[288,"^O","^16",536870919]],["^15",[288,"^F",275,536870919]],["^15",[288,"^X",259,536870919]],["^15",[288,"^V",292,536870919]],["^15",[288,"^U",259,536870919]],["^15",[288,"^;","~u686c5fe9-f4c3-46fb-8ee7-1676df79248a",536870919]],["^15",[289,"^Q","{{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Server/Nextcloud Notes]]) (namespace [[Server/Nextcloud Notes]])))}}\nquery-sort-by:: block\nquery-table:: true\nquery-sort-desc:: false",536870919]],["^15",[289,"^O","^16",536870919]],["^15",[289,"^F",263,536870919]],["^15",[289,"^S",293,536870919]],["^15",[289,"^X",259,536870919]],["^15",[289,"^V",263,536870919]],["^15",[289,"^U",259,536870919]],["^15",[289,"^?",["^ ","^1?","block","^1>",true,"^1@",false],536870919]],["^15",[289,"^J",["^1?","^1>","^1@"],536870919]],["^15",[289,"^4",["^ ","^1?","block","^1>","true","^1@","false"],536870919]],["^15",[289,"^;","~u686c5fe9-5298-4297-b91e-71239d0eddc7",536870919]],["^15",[290,"^Q","### OnlyOffice hide welcome Page",536870919]],["^15",[290,"^O","^16",536870919]],["^15",[290,"^F",273,536870919]],["^15",[290,"^X",259,536870919]],["^15",[290,"^V",283,536870919]],["^15",[290,"^U",259,536870919]],["^15",[290,"^?",["^ ","^1;",3],536870919]],["^15",[290,"^J",[],536870919]],["^15",[290,"^;","~u686c5fe9-804c-4847-8252-2d3efce073c5",536870919]],["^15",[291,"^Q","",536870919]],["^15",[291,"^O","^16",536870919]],["^15",[291,"^F",271,536870919]],["^15",[291,"^X",259,536870919]],["^15",[291,"^V",271,536870919]],["^15",[291,"^U",259,536870919]],["^15",[291,"^;","~u686c5fe9-0e3e-4ab0-af62-d8a4ad52ea05",536870919]],["^15",[292,"^Q","### Installing ffmpeg for Video Preview",536870919]],["^15",[292,"^O","^16",536870919]],["^15",[292,"^F",270,536870919]],["^15",[292,"^X",259,536870919]],["^15",[292,"^V",259,536870919]],["^15",[292,"^U",259,536870919]],["^15",[292,"^?",["^ ","^1;",3],536870919]],["^15",[292,"^J",[],536870919]],["^15",[292,"^;","~u686c5fe9-e788-45f7-808b-d3d614940947",536870919]],["^15",[293,"^?",["^ ","~:logseq.macro-name","query","~:logseq.macro-arguments",["(and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Server/Nextcloud Notes]]) (namespace [[Server/Nextcloud Notes]])))"]],536870919]],["^15",[293,"^W","macro",536870919]],["^15",[293,"^T","query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Server/Nextcloud Notes]]) (namespace [[Server/Nextcloud Notes]])))",536870919]],["^15",[294,"^?",["^ ","^1A","query","^1B",["(and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Server/Nextcloud Notes]]) (namespace [[Server/Nextcloud Notes]])))"]],536870919]],["^15",[294,"^W","macro",536870919]],["^15",[294,"^T","query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Server/Nextcloud Notes]]) (namespace [[Server/Nextcloud Notes]])))",536870919]],["^15",[295,"^3","## Meta\n\t- Additional Tags:\n\t- Additional References:\n\t- **Notes:**\n\t  background-color:: red\n\t\t- {{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Server/Steamdeck Local Ai]]) (namespace [[Server/Steamdeck Local Ai]])))}}\n\t\t  query-sort-by:: block\n\t\t  query-table:: true\n\t\t  query-sort-desc:: false\n\t- **Slides:**\n\t  background-color:: green\n\t\t- {{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Server/Steamdeck Local Ai]]) (namespace [[Server/Steamdeck Local Ai]])))}}\n\t\t  query-table:: true\n\t- **Summery**:\n\t  background-color:: blue\n\t\t- A Guide on how to setup a Local API using #localai\n- ---\n- ## Setup Steps #Slide\n\t- `sudo steamos-readonly disable`\n\t- Activate #SSH\n\t\t- `passwd` _sets password for user deck_\n\t\t- `sudo systemctl start sshd`\n\t- Initialize #packman\n\t\t- `sudo pacman-key --init`\n\t\t- `sudo pacman-key --populate archlinux`\n\t\t- `sudo pacman-key --populate holo` _steamos reposetory_\n\t\t- `sudo pacman -Syu`\n\t\t- Or Alternatively: `sudo pacman -Sy archlinux-keyring`\n\t- `sudo pacman -S podman` _install containerisation Environment_ (#podman)\n\t\t- `sudo sh -c 'echo \"unqualified-search-registries = [\\\"docker.io\\\"]\" >> /etc/containers/registries.conf'` add docker hub\n\t- Manual install #localai:\n\t\t- ```\n\t\t  podman run -ti --name ubuntu-ai \\\n\t\t    --entrypoint /bin/bash \\\n\t\t    -p 9000:8080 \\\n\t\t    --device=/dev/kfd \\\n\t\t    --device=/dev/dri \\\n\t\t    --group-add=video \\\n\t\t    ubuntu:24.04\n\t\t  \n\t\t  # Inside the container:\n\t\t  apt update\n\t\t  apt install -y build-essential libnuma-dev curl libcurl4-openssl-dev cmake git\n\t\t  \n\t\t  wget https://repo.radeon.com/amdgpu-install/latest/ubuntu/noble/amdgpu-install_6.4.60401-1_all.deb\n\t\t  apt install -y ./amdgpu-install_6.4.60401-1_all.deb\n\t\t  \n\t\t  apt update\n\t\t  amdgpu-install --usecase=rocm,hip --no-dkms\n\t\t  \n\t\t  wget https://localai.io/install.sh\n\t\t  bash install.sh\n\t\t  \n\t\t  echo 'HSA_OVERRIDE_GFX_VERSION=10.3.0' >> /etc/localai.env\n\t\t  echo 'PATH=$PATH:/opt/rocm/bin:/opt/rocm/rocprofiler/bin:/opt/rocm/opencl/bin' >> /etc/localai.env\n\t\t  echo 'GGML_CUDA_ENABLE_UNIFIED_MEMORY=1' >> /etc/localai.env\n\t\t  ```\n\t\t- Buildin #llama manualy\n\t\t\t- `HIPCXX=\"$(hipconfig -l)/clang\" GGML_CUDA_ENABLE_UNIFIED_MEMORY=1  HIP_PATH=\"$(hipconfig -R)\"     cmake -S . -B build -DGGML_HIP=ON -DAMDGPU_TARGETS=gfx1030 -DCMAKE_BUILD_TYPE=Release     && cmake --build build --config Release -- -j 16`\n\t\t\t- `sudo cmake --install build`\n\t\t\t- `build/bin/libllama.so /usr/local/lib/`\n\t\t\t- `ldconfig`\n\t\t\t-\n- ### Soures #Note\n\t- https://steamcommunity.com/app/1675200/discussions/0/595134792309237790/\n\t- https://www.reddit.com/r/SteamDeck/comments/18bf9op/i_ran_llms_on_steam_decks_gpu_tutorial_in_comments/\n\t- https://localai.io/basics/getting_started/\n-",536872325]],["^15",[295,"^17",1751932905416,536870919]],["^15",[295,"^18","~m1752093068952",536872324]],["^15",[295,"^Z","pages/Server___Steamdeck Local Ai.md",536870919]],["^15",[296,"^K",1751932905415,536870919]],["^15",[296,"^[",295,536870919]],["^15",[296,"^@",false,536870919]],["^15",[296,"^Y","server/steamdeck local ai",536870919]],["^15",[296,"^A",245,536870919]],["^15",[296,"^11","Server/Steamdeck Local Ai",536870919]],["^15",[296,"^B",1752093068724,536872322]],["^15",[296,"^;","~u686c5fe9-2089-4ebe-883b-02f90ad9fd35",536870919]],["^15",[297,"^K",1751932905416,536870919]],["^15",[297,"^O","^16",536871416]],["^15",[297,"^@",false,536870919]],["^15",[297,"^Y","localai",536870919]],["^15",[297,"^11","localai",536870919]],["^15",[297,"^B",1751932905416,536870919]],["^15",[297,"^;","~u686c5fe9-aa1b-4a67-81de-740062b48a1a",536870919]],["^15",[298,"^K",1751932905440,536870919]],["^15",[298,"^O","^16",536871569]],["^15",[298,"^@",false,536870919]],["^15",[298,"^Y","slide",536870919]],["^15",[298,"^11","Slide",536870919]],["^15",[298,"^B",1751932905440,536870919]],["^15",[298,"^;","~u687e222e-a141-4c71-9641-ba93631c8d52",536878647]],["^15",[299,"^Q","{{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Server/Steamdeck Local Ai]]) (namespace [[Server/Steamdeck Local Ai]])))}}\nquery-table:: 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Plenas zur Positionierung der Solid Bremen im Bezug auf die Verwendung von AI\n- ---\n- # Plena Struktur\n\t- ### Themen\n\t  id:: 686bc829-5abe-416d-adfc-ccfe23640c6d\n\t\t- Deffinition: Ai, GAN, DeepLearning (unterscheide zu herkömmlichen Algorithmen)\n\t\t\t- [[Ai Funktionsweise der Kreativitaet #Note]]\n\t\t- Kann Ki Kust/Kreativität\n\t\t\t- [[Ai Kreativitaet #Note]]\n\t\t\t- ((686c5031-ec23-4ed2-8508-c1afea36a627))\n\t\t- Auswirkung der Verwendung (Datensammlung etc.)\n\t\t\t- [[Das Problem des Datensatzes #Note]]\n\t\t- Missbrauch von AI (Überwachung durch Staartsgewalt, Rassismus durch AI, Deepfakes)\n\t\t- Urheberrecht (Auswirkung für Kunstschaffende)\n\t\t\t- [[Ai Autorenschaft #Note]]\n\t\t\t- [[Urheberrecht #Note]]\n\t\t- Ethische Alternativen (lokale & quelloffene Modelle)\n\t- ### Ablauf\n\t\t- Kurze Einfuehrung:\n\t\t  logseq.order-list-type:: number\n\t\t\t- Zielsetzung des Plenas\n\t\t\t  logseq.order-list-type:: number\n\t\t\t- Was ist AI?\n\t\t\t  logseq.order-list-type:: number\n\t\t- Gruppenarbeit, ausarbeitung der ((686bc829-5abe-416d-adfc-ccfe23640c6d)), Zusammenfassen\n\t\t  logseq.order-list-type:: number\n\t\t- Vorstellung der Zusammenfassungen\n\t\t  logseq.order-list-type:: number\n\t\t- Diskursion der Leitfrage: \"Wie gehn wollen wir mit AI, sowohl intern als auch bei der Öffentlichkeitsarbeit um?\"\n\t\t  logseq.order-list-type:: number\n-\n- ---\n- TODO #Slide Maschinelle Kreativität?\n  id:: 686c5031-ec23-4ed2-8508-c1afea36a627\n  collapsed:: true\n\t- Der folgende Text ist als denkanstos zu werten, er beschaeftigt sich ausschlieslich mit der Frage, ob AI modelle 'Kreative' handeln bzw. Kunst erschaffen und ob diese philosophische frage eine siknifikants fuer die ethische verwednung von eben jenen AI modellen hat.\n\t- Kreatitaet und Kunst\n\t\t- Dafür sei Kreativität ein Prozess bei dem auf jegliche Art gemachte Erfahrungen (sein es gesehene Bilder, oder verstandene abstrakte Sachverhalte) verarbeitet und bewusst oder unterbewusst verwendet werden um etwas, mehr oder weniger, neues zu erschaffen. \n\t\t  Beim eigentlichen Erschaffungsprozess der Kunst sei darüber hinaus die emotionale Lage bzw. Verbindung zum Thema des Kunstschaffenden ausschlaggebend. Wie auch die Fähigkeit des Kritischen beurteilns der eigenen, aber auch fremden Arbeit um eine aenderung/verbesserung anzustreben.\n\t\t-\n\t\t- Vergleichen wir das nun mit der Funktionsweise eines algorithmischen Ai Modells. Wobei allein diese Bezeichnung direkt einen grundlegenden unterschied zur Menschlichen Kunstschaffung hervorhebt. Als \"algorithmisch\" werden Prozesse bezeichnet welche bei wiederholter Ausführung mit exakt gleichen Eingabedaten ein reproduzierbares Ergebnis liefern (z.B. addition Zweier zahlen: `a+b=x`). Es scheint also die Zufälligkeit menschlicher Kreativität nicht gegeben zu sein.\n\t\t  Doch indirekt kann, allein durch die vielzahl an Eingabeparametern eine scheinzufaelligkeit geschaffen werden, wodurch bei scheinbar gleichen Eingabeparametern immer andere Ausgaben entstehen.\n\t\t- Als gossen Teil der Kreativität wurde das re-interpretieren und kombinieren von bestehenden definiert. Betrachtet man, nun ein Bild generierendes GAN (Generative adversarial network) modell, welche zuvor mit Millionen an kategorisierten Bildern und eingeordneten Daten trainiert wurde faelt auf, das eben jener Trainingsprozess, dem künstlichen Modell lediglich die selben Möglichkeiten gibt, wie der Mensch sie durch das blosse leben hat: Die sammlung Referenzdaten. Ebenso ist die Generation eines neuen Bildes lediglich das Transformieren und Zusammenfuegen von Eigenschaften der Refferenzdaten, wie auch ein Mensch es machen wuerde.\n\t\t\t- Man könnte also auch von einer emulativen Kunst (ähnlich wie dem Morphing oder Remixen) sprechen, betrachtet man ein AI generiertes Bild.\n\t\t\t- Dabei auch Spannend: Eben so wie menschliche schlussfogerungen (noch) nicht wissenschaftlich Nachvolzogen werden koennen, eben so abstrakt sind die generationsprozesse einer Kuenstlichen intelegenz.\n\t\t- SInd diese Faktoren alleine Ausschlaggebend, so kann durchaus bereits von vorhandener Maschineller Kreativitaet gesprochen werden.\n\t\t- Zaehlt man jedoch die emotionen eines kuentztlers als ausschlaggebend fuer die effizientz von Kreativitaet so beginnt die heutige Technologie zu broeckeln. Ein angelerntes modell kann zwar das Konzept von emotionen ebenso wie das aussehen einer Katze beigebracht bekommen und entsprechende emotionale Reaktionen aus dem training kopieren, jedoch nie selbst fühlen. Eben so wenig ist es in der Lage sich eigenstaendig uber dal Nievaeu des Datensatzes mit dem es trainiert wurde zu verbessern, so mag es das Aussehen vom Minimalsimus kennen, jedoch nicht in der Lage sein ein dreieck mit einem Seckseck auszutatschen sollte es nie mit einem Sechseck trainiert worden sein.***\n\t-\n\t-\n\t- **Leitfragen**\n\t\t- Stimmt ihr mit der deffinition von Kreativitaet ueberein?\n\t\t- Sollten wir nur \"kreative\" Kunst verwenden?\n\t-\n\t- *** vereinfachtes Bespiel; kann durchaus möglich sein, sind andere Gegebenheiten erlullt\n\t-\n- TODO #Slide AI Autorenschaft\n  collapsed:: true\n\t- Betrachtet man das Problem des Urheberrechts im Bezug auf Kuenstliche Inteltgenz muss zwischen zwei verschiedenen bereichen unterschieden werden;\n\t\t- Welches Material darf, wie, zum Trainieren eines AI Modells genutzt werden?\n\t\t  logseq.order-list-type:: number\n\t\t\t-\n\t\t- Wer ist der Autor von einem AI generierten Produkt?\n\t\t  logseq.order-list-type:: number\n\t\t\t-\n\t- Auswirkung auf die 'klassische' Kunst-comunity und Autor*in\n\t\t- Fuer viele Kunstschaffenden sorgt ein sicheres Urheberrecht für die Wertschätzung die sie verdienen, auch durch entsprechende Entlohnung sollten dritte durch die Verwendung ihres Werkes profitieren. Dies schafft überhaupt erst den Anreiz das Werk zu erschaffen, über die lose Idee hinaus zu gehen. Obgleich man großen Unternehmen wie Nintendo, Niantic oder Disney einen fragwürdigen Umgang bis zum missbrauch des Urheberrechts u.a. durch das verhindern von Comunity geführten Projekten vorwerfen kann, muss die Sinnhaftigkeit des Urheberrechts, gerade für Einzelpersonen bedacht bleiben.\n\t\t  Daher sollte es kritisch betrachtet werden, wenn AI die zunehmende Nichtigkeit des digitalen Besitztumes weiter vorantreibt. Indem sie in der Lage ist, ganze Style einzelner Künstler nach zu ahmen. In einer weise, die anders als bei der Appropriations Kunst nicht den Kopiervorgang selbst in den Mittelpunkt stellt sondern das Endergebnis.\n\t\t- Zudem ist zu bedenken das der neoliberale Kapitalismus, was besonders deutlich wird betrachtet man die Großunternehmen der Gaming-Industrie, ganz nach Wirtschaftlichen Prinzip, möglichst viel Kunst, natürlich (zumindest scheinbar) originell, in einer möglichst kurzen Zeit produziert sehen möchten: der Gewinnmaximierung wegen. Dies übt zusätzlich immensen druck auf Künstler, auch im free-lancing bereich, aus welche nun mit einer Technologie in Konkurrenz stehen gegen die sie quantitative und fortschreitend auch qualitative immer weniger Chanen haben. \n\t\t  Die Geschwindigkeit dieser Entwicklung ist eminent, bedenkt mann das Spotify Ai generierte Cover und Songs in playlists und (durch externe Fehler) sogar Profile der Künstler\\*inen einbindet, durch deren Abspielen jedoch kein Menschlicher Künstler vergütet wird.\n\t\t- Ein Idee die Vergütung von Kunstschaffenen längerfristig zu sichern zeigt das Open Access movement auf. Bereits in der Forschung und Wissenschaft immer Beliebter werdend, publizieren Autoren ihre werke unter einer Lizenz (häufig Creative Commons) welche freien Zugriff auf das Werk unter Einhaltung bestimmter Bedienungen gewährt. So wird die Anerkennung des Ursprünglichen Autors gesichert. Ähnliches gibt es auch im Bereich der Informatik bei Quell-offener Software. Größere Projekte finanzieren sich dort durch Spenden artige beigräte von Unternehmen und Privatpersonen. Wobei es auch hier immer wider vorkommt, das selbst kritische Projekte und deren Entwickler viel zu wenig Finanzielle Unterstützung erhalten.\n\t\t\t- NTP Project (Zeitsyncronisierung auf den meisten Geräten) erzielte im July: \\$165/\\$1000\n\t\t- Andersherum muss auch bedachte werden das Ai wie auch die meisten zuvor kommenden Technologien die menschen, gerade jene in ärmeren Gesellschaftsschichten, befähigt. Das Telefon ermöglichte eine echt-zeit Kommunikation, ohne einen Boten schicken zu müssen, das Internet ermöglichte den freien Zugang zu wissen über unzählige Teilgebiete und nun ermöglicht die Künstliche Intelligenz Einzelpersonen eine spezialisierte, wenn auch imperfekte, Arbeitskraft zu imitieren.\n\t- Kooperation Mensch - Maschiene\n\t\t- Doch bedenken wir, das es durchaus verschiedene arten der Nutzung von Kuenstlicher intelegenz in Kunstwerken, oder jeglichen weiteren Anwendungsgebiten gibt, welche deferenziert betrachtet werden sollten:\n\t\t\t- Hat AI alleine das Endresultat generiert?\n\t\t\t\t- Wurde ein generell verwendbares, Multifunktionales Ai Modell verwendet?\n\t\t\t\t- Hat der Ersteller ein modell eztra dafuaer selbst Trainiert/ein bestehendes veraendert?\n\t\t\t- Gab es eine ko-kreativitaet?\n\t\t\t\t- Hat der Ersteller immer wider geziehlt veranderungen am Produkt durchfuehren lassen um zum endergebniss zu kommen?\n\t\t\t\t- Staerken die einfluesse/der Bias des Ai modells die Aussagekraft des Produktes? (Ahnlich wie die Ko-kreativitaet zwischen Tier und mensch, lauft ein tire in einen Farbeimer und anschliesend ueber ein gemaelde)?\n\t\t\t- Wurde AI lediglich als werkzeug verwendet?\n\t\t\t\t- Spielte es eine vergleichbare rolle wie in Bildmanipulationsprogramm in der \"klassischen\" Digitalen Kunst?\n\t\t\t- Generell sollte immer volgendes bedacht werden:\n\t\t\t\t- war das verwendete modell Quelloffen\n\t\t\t\t- (ist ueberhaupt bekannt?) wie wurden die Trainingsdaten bezogen?\n\t- OLD:\n\t\t- Da diese Technologie nicht verboten werden kann, braucht es eine Neudefinition des Begriffes Kunst, was es bedeutet Autor\\*in zu sein. Eine Definition die das leben Kunstschaffender sichert und sie nicht in kapitalistischer Manier durch massen an syntetischen Werken weg rationalisiert. Das ist eine gesamtgesellschaftliche Aufgabe.\n\t- Additional sources:\n\t\t- https://www.gamingonlinux.com/2023/11/gnome-gets-1m-funding-from-the-sovereign-tech-fund/\n\t\t- https://www.ntp.org/\n\t\t- https://www.tu.berlin/ub/forschen-publizieren/wissenswertes-fuer-autorinnen/rechtliche-fragen\n\t\t- https://open-access.network/en/information/subject-specific-open-access/arts\n\t\t-\n\t-\n-\n-",536879017]],["^15",[345,"^17",1751932905440,536870919]],["^15",[345,"^18","~m1753100130764",536879016]],["^15",[345,"^Z","pages/Soldi___Plenum___AI.md",536870919]],["^15",[346,"^K",1751932905440,536870919]],["^15",[346,"^[",345,536870919]],["^15",[346,"^@",false,536870919]],["^15",[346,"^Y","soldi/plenum/ai",536870919]],["^15",[346,"^A",330,536870919]],["^15",[346,"^11","Soldi/Plenum/AI",536870919]],["^15",[346,"^B",1753096864835,536878665]],["^15",[346,"^;","~u687e222e-b57a-49ff-9844-cde19587ebf4",536878647]],["^15",[347,"^Q","---",536870919]],["^15",[347,"^O","^16",536870919]],["^15",[347,"^F",365,536870919]],["^15",[347,"^X",346,536870919]],["^15",[347,"^V",346,536870919]],["^15",[347,"^U",346,536870919]],["^15",[347,"^;","~u686c5fe9-dc42-4b37-a4c6-70562a8b078b",536870919]],["^15",[348,"^Q","Deffinition: Ai, GAN, DeepLearning (unterscheide zu herkömmlichen Algorithmen)",536870919]],["^15",[348,"^O","^16",536870919]],["^15",[348,"^F",367,536870919]],["^15",[348,"^X",346,536870919]],["^15",[348,"^V",367,536870919]],["^15",[348,"^U",346,536870919]],["^15",[348,"^;","~u686c5fe9-d598-4c9e-9600-584503382e29",536870919]],["^15",[349,"^Q","[[Das Problem des Datensatzes #Note]]",536870919]],["^15",[349,"^O","^16",536870919]],["^15",[349,"^F",359,536870919]],["^15",[349,"^X",346,536870919]],["^15",[349,"^V",359,536870919]],["^15",[349,"^U",206,536870919]],["^15",[349,"^U",346,536870919]],["^15",[349,"^H",206,536878647]],["^15",[349,"^;","~u686c5fe9-b975-449b-baa2-23718a12b5da",536870919]],["^15",[350,"^Q","**Summery**:\nbackground-color:: blue",536870919]],["^15",[350,"^O","^16",536870919]],["^15",[350,"^F",380,536870919]],["^15",[350,"^X",346,536870919]],["^15",[350,"^V",373,536870919]],["^15",[350,"^U",346,536870919]],["^15",[350,"^?",["^ ","^1=","blue"],536878647]],["^15",[350,"^J",["^1="],536878647]],["^15",[350,"^4",["^ ","^1=","blue"],536878647]],["^15",[350,"^;","~u686c5fe9-1653-4462-8220-b520f6e10c6c",536870919]],["^15",[351,"^Q","Additional References:",536870919]],["^15",[351,"^O","^16",536870919]],["^15",[351,"^F",354,536870919]],["^15",[351,"^X",346,536870919]],["^15",[351,"^V",373,536870919]],["^15",[351,"^U",346,536870919]],["^15",[351,"^;","~u686c5fe9-b063-4f0a-9363-daba2e9b9062",536870919]],["^15",[352,"^Q","[[Ai Funktionsweise der Kreativitaet #Note]]",536870919]],["^15",[352,"^O","^16",536870919]],["^15",[352,"^F",348,536870919]],["^15",[352,"^X",346,536870919]],["^15",[352,"^V",348,536870919]],["^15",[352,"^U",63,536870919]],["^15",[352,"^U",346,536870919]],["^15",[352,"^H",63,536878647]],["^15",[352,"^;","~u686c5fe9-e7fe-48e4-b51e-fb73f210c8ea",536870919]],["^15",[353,"^Q","Zielsetzung des Plenas\nlogseq.order-list-type:: number",536870919]],["^15",[353,"^O","^16",536870919]],["^15",[353,"^F",362,536870919]],["^15",[353,"^X",346,536870919]],["^15",[353,"^V",362,536870919]],["^15",[353,"^U",346,536870919]],["^15",[353,"^?",["^ ","~:logseq.order-list-type","number"],536878647]],["^15",[353,"^J",["^1C"],536878647]],["^15",[353,"^4",["^ ","^1C","number"],536878647]],["^15",[353,"^;","~u686c5fe9-3f46-4bb5-ada1-0d379ae75b9e",536870919]],["^15",[354,"^Q","Additional Tags:",536870919]],["^15",[354,"^O","^16",536870919]],["^15",[354,"^F",373,536870919]],["^15",[354,"^X",346,536870919]],["^15",[354,"^V",373,536870919]],["^15",[354,"^U",346,536870919]],["^15",[354,"^;","~u686c5fe9-70fc-4880-8d74-44c3b584a57b",536870919]],["^15",[355,"^Q","[[Ai Autorenschaft #Note]]",536870919]],["^15",[355,"^O","^16",536870919]],["^15",[355,"^F",370,536870919]],["^15",[355,"^X",346,536870919]],["^15",[355,"^V",370,536870919]],["^15",[355,"^U",33,536870919]],["^15",[355,"^U",346,536870919]],["^15",[355,"^H",33,536878647]],["^15",[355,"^;","~u686c5fe9-83dd-4d91-af71-b414d31e09c8",536870919]],["^15",[356,"^Q","Der folgende Text ist als denkanstos zu werten, er beschaeftigt sich ausschlieslich mit der Frage, ob AI modelle 'Kreative' handeln bzw. Kunst erschaffen und ob diese philosophische frage eine siknifikants fuer die ethische verwednung von eben jenen AI modellen hat.",536874547]],["^15",[356,"^O","^16",536870919]],["^15",[356,"^F",376,536870919]],["^15",[356,"^X",346,536870919]],["^15",[356,"^V",376,536870919]],["^15",[356,"^U",4,536870919]],["^15",[356,"^U",298,536870919]],["^15",[356,"^U",346,536870919]],["^15",[356,"^;","~u686c5fe9-2371-496f-a85c-dae20ea67495",536870919]],["^15",[357,"^Q","Vorbereitung eines Plenas zur Positionierung der Solid Bremen im Bezug auf die Verwendung von AI",536870919]],["^15",[357,"^O","^16",536870919]],["^15",[357,"^F",350,536870919]],["^15",[357,"^X",346,536870919]],["^15",[357,"^V",350,536870919]],["^15",[357,"^U",346,536870919]],["^15",[357,"^;","~u686c5fe9-2d64-4650-aa45-d1c08bb6cb56",536870919]],["^15",[358,"^Q","Ethische Alternativen (lokale & quelloffene Modelle)",536870919]],["^15",[358,"^O","^16",536870919]],["^15",[358,"^F",370,536870919]],["^15",[358,"^X",346,536870919]],["^15",[358,"^V",367,536870919]],["^15",[358,"^U",346,536870919]],["^15",[358,"^;","~u686c5fe9-cf30-4ae6-96d2-74afbe3985a0",536870919]],["^15",[359,"^Q","Auswirkung der Verwendung (Datensammlung etc.)",536870919]],["^15",[359,"^O","^16",536870919]],["^15",[359,"^F",368,536870919]],["^15",[359,"^X",346,536870919]],["^15",[359,"^V",367,536870919]],["^15",[359,"^U",346,536870919]],["^15",[359,"^;","~u686c5fe9-5e98-45db-b74a-8a939632008a",536870919]],["^15",[360,"^Q","((686c5031-ec23-4ed2-8508-c1afea36a627))",536870919]],["^15",[360,"^O","^16",536870919]],["^15",[360,"^F",366,536870919]],["^15",[360,"^X",346,536870919]],["^15",[360,"^V",368,536870919]],["^15",[360,"^U",346,536870919]],["^15",[360,"^H",376,536878647]],["^15",[360,"^;","~u686c5fe9-7ac1-4005-b47f-0116a81689e1",536870919]],["^15",[361,"^Q","{{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page 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B)))}}\n-\n- ## Subpages:\n  background-color:: purple\n\t- [[Soldi]]\n\t- [[Server]]\n\t- [[Other]]\n\t- [[Templates]]\n-\n- ## Most recent cahnges:\n  background-color:: green\n\t- query-sort-by:: updated-at\n\t  query-sort-desc:: true\n\t  #+BEGIN_QUERY\n\t  {\n\t    :title \"Edited Pages:\"\n\t    :query [:find (pull ?p [*])\n\t            :where\n\t            [?b :block/page ?p]          \n\t     ]\n\t    :result-transform (fn [result]\n\t                       (take 5 result))\n\t    :table-view? false\n\t  }\n\t  #+END_QUERY\n-",536871598]],["^15",[383,"^17",1751932905448,536870919]],["^15",[383,"^18","~m1752074585962",536871597]],["^15",[383,"^Z","pages/Startpage.md",536870919]],["^15",[384,"^K",1751932905447,536870919]],["^15",[384,"^[",383,536870919]],["^15",[384,"^@",false,536870919]],["^15",[384,"^Y","startpage",536870919]],["^15",[384,"^11","Startpage",536870919]],["^15",[384,"^B",1752074585482,536871595]],["^15",[384,"^;","~u686c5fe9-1894-4b7c-b14c-7a09fae4f70d",536870919]],["^15",[385,"^K",1751932905476,536870919]],["^15",[385,"^[",471,536870919]],["^15",[385,"^@",false,536870919]],["^15",[385,"^Y","scratchpad",536870919]],["^15",[385,"^11","scratchpad",536870919]],["^15",[385,"^B",1752409443713,536873192]],["^15",[385,"^;","~u686c5fe9-91c0-4267-9112-59d2898ed27f",536870919]],["^15",[386,"^K",1751932905474,536870919]],["^15",[386,"^[",410,536870919]],["^15",[386,"^O","^16",536870919]],["^15",[386,"^@",false,536870919]],["^15",[386,"^Y","templates",536870919]],["^15",[386,"^11","Templates",536870919]],["^15",[386,"^B",1751932905474,536870919]],["^15",[386,"^;","~u686c5fe9-accd-484f-8ec8-568feb492bc9",536870919]],["^15",[387,"^Q","[[Soldi]]",536870919]],["^15",[387,"^O","^16",536870919]],["^15",[387,"^F",394,536870919]],["^15",[387,"^X",384,536870919]],["^15",[387,"^V",394,536870919]],["^15",[387,"^U",320,536870919]],["^15",[387,"^U",384,536870919]],["^15",[387,"^H",320,536870919]],["^15",[387,"^;","~u686c5fe9-b823-4d22-b9e9-4c3de5f50a28",536870919]],["^15",[388,"^Q","Text:",536870919]],["^15",[388,"^O","^16",536870919]],["^15",[388,"^F",391,536870919]],["^15",[388,"^X",384,536870919]],["^15",[388,"^V",391,536870919]],["^15",[388,"^U",384,536870919]],["^15",[388,"^;","~u686c5fe9-eb83-437f-9a57-0477000235c3",536870919]],["^15",[389,"^Q","query-sort-by:: updated-at\nquery-sort-desc:: true\n#+BEGIN_QUERY\n{\n  :title \"Edited Pages:\"\n  :query [:find (pull ?p [*])\n          :where\n          [?b :block/page ?p]          \n   ]\n  :result-transform (fn [result]\n                     (take 5 result))\n  :table-view? false\n}\n#+END_QUERY",536870919]],["^15",[389,"^O","^16",536870919]],["^15",[389,"^F",404,536870919]],["^15",[389,"^X",384,536870919]],["^15",[389,"^V",404,536870919]],["^15",[389,"^U",384,536870919]],["^15",[389,"^?",["^ ","^1?","updated-at","^1@",true],536870919]],["^15",[389,"^J",["^1?","^1@"],536870919]],["^15",[389,"^4",["^ ","^1?","updated-at","^1@","true"],536870919]],["^15",[389,"^;","~u686c5fe9-91c4-4293-9641-8fda8625abe5",536870919]],["^15",[390,"^Q","{{query (and (task TODO IN-PROGRESS) (and (not (priority C)) (not (priority B))))}}",536870919]],["^15",[390,"^O","^16",536870919]],["^15",[390,"^F",393,536870919]],["^15",[390,"^S",408,536870919]],["^15",[390,"^X",384,536870919]],["^15",[390,"^V",393,536870919]],["^15",[390,"^U",384,536870919]],["^15",[390,"^;","~u686c5fe9-561a-48a9-affa-5ba40baa3f55",536870919]],["^15",[391,"^Q","## Scratchpad\nbackground-color:: blue",536870919]],["^15",[391,"^O","^16",536870919]],["^15",[391,"^F",384,536870919]],["^15",[391,"^X",384,536870919]],["^15",[391,"^V",384,536870919]],["^15",[391,"^U",384,536870919]],["^15",[391,"^?",["^ ","^1=","blue","^1;",2],536870919]],["^15",[391,"^J",["^1="],536870919]],["^15",[391,"^4",["^ ","^1=","blue"],536870919]],["^15",[391,"^;","~u686c5fe9-73e2-4428-b8ff-566dcb2dcc41",536870919]],["^15",[392,"^Q","",536870919]],["^15",[392,"^O","^16",536870919]],["^15",[392,"^F",396,536870919]],["^15",[392,"^X",384,536870919]],["^15",[392,"^V",384,536870919]],["^15",[392,"^U",384,536870919]],["^15",[392,"^;","~u686c5fe9-67f3-4f31-8015-b30e01aa95c4",536870919]],["^15",[393,"^Q","### High Priorety",536870919]],["^15",[393,"^O","^16",536870919]],["^15",[393,"^F",396,536870919]],["^15",[393,"^X",384,536870919]],["^15",[393,"^V",396,536870919]],["^15",[393,"^U",384,536870919]],["^15",[393,"^?",["^ ","^1;",3],536870919]],["^15",[393,"^J",[],536870919]],["^15",[393,"^;","~u686c5fe9-5905-4369-8a34-6ff1460aa05a",536870919]],["^15",[394,"^Q","## Subpages:\nbackground-color:: purple",536870919]],["^15",[394,"^O","^16",536870919]],["^15",[394,"^F",392,536870919]],["^15",[394,"^X",384,536870919]],["^15",[394,"^V",384,536870919]],["^15",[394,"^U",384,536870919]],["^15",[394,"^?",["^ ","^1=","purple","^1;",2],536870919]],["^15",[394,"^J",["^1="],536870919]],["^15",[394,"^4",["^ ","^1=","purple"],536870919]],["^15",[394,"^;","~u686c5fe9-099a-4e87-bec5-2b93f627fbef",536870919]],["^15",[395,"^Q","[[draws/2025-07-08-01-22-45.excalidraw]]",536870919]],["^15",[395,"^O","^16",536870919]],["^15",[395,"^F",397,536870919]],["^15",[395,"^X",384,536870919]],["^15",[395,"^V",397,536870919]],["^15",[395,"^U",384,536870919]],["^15",[395,"^;","~u686c5fe9-d4a8-4e7d-bde3-89237dbcf926",536870919]],["^15",[396,"^Q","## Tasks\nbackground-color:: red",536870919]],["^15",[396,"^O","^16",536870919]],["^15",[396,"^F",391,536870919]],["^15",[396,"^X",384,536870919]],["^15",[396,"^V",384,536870919]],["^15",[396,"^U",384,536870919]],["^15",[396,"^?",["^ ","^1=","red","^1;",2],536870919]],["^15",[396,"^J",["^1="],536870919]],["^15",[396,"^4",["^ ","^1=","red"],536870919]],["^15",[396,"^;","~u686c5fe9-228a-44e2-8a94-5896b1fe73db",536870919]],["^15",[397,"^M",true,536870919]],["^15",[397,"^Q","Whiteboard:\ncollapsed:: true",536870919]],["^15",[397,"^O","^16",536870919]],["^15",[397,"^F",388,536870919]],["^15",[397,"^X",384,536870919]],["^15",[397,"^V",391,536870919]],["^15",[397,"^U",384,536870919]],["^15",[397,"^?",["^ "],536870919]],["^15",[397,"^J",[],536870919]],["^15",[397,"^4",["^ "],536870919]],["^15",[397,"^;","~u686c5fe9-e38f-4c2b-85fc-a2f8f4e9f953",536870919]],["^15",[398,"^Q","",536870919]],["^15",[398,"^O","^16",536870919]],["^15",[398,"^F",397,536870919]],["^15",[398,"^X",384,536870919]],["^15",[398,"^V",391,536870919]],["^15",[398,"^U",384,536870919]],["^15",[398,"^;","~u686c5fe9-a4a5-44b8-a361-4c81ac6b5eae",536870919]],["^15",[399,"^Q","{{query (and (task TODO IN-PROGRESS) (or (priority C) (priority B)))}}",536870919]],["^15",[399,"^O","^16",536870919]],["^15",[399,"^F",405,536870919]],["^15",[399,"^S",409,536870919]],["^15",[399,"^X",384,536870919]],["^15",[399,"^V",405,536870919]],["^15",[399,"^U",384,536870919]],["^15",[399,"^;","~u686c5fe9-9231-466b-9518-e689b1896d44",536870919]],["^15",[400,"^Q","",536870919]],["^15",[400,"^O","^16",536870919]],["^15",[400,"^F",404,536870919]],["^15",[400,"^X",384,536870919]],["^15",[400,"^V",384,536870919]],["^15",[400,"^U",384,536870919]],["^15",[400,"^;","~u686c5fe9-b8f8-4f60-84ba-13600463cb1d",536870919]],["^15",[401,"^Q","{{embed 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Most recent cahnges:\nbackground-color:: green",536870919]],["^15",[404,"^O","^16",536870919]],["^15",[404,"^F",406,536870919]],["^15",[404,"^X",384,536870919]],["^15",[404,"^V",384,536870919]],["^15",[404,"^U",384,536870919]],["^15",[404,"^?",["^ ","^1=","green","^1;",2],536870919]],["^15",[404,"^J",["^1="],536870919]],["^15",[404,"^4",["^ ","^1=","green"],536870919]],["^15",[404,"^;","~u686c5fe9-01e6-49f5-8593-69c182528e66",536870919]],["^15",[405,"^Q","#### Other",536870919]],["^15",[405,"^O","^16",536870919]],["^15",[405,"^F",393,536870919]],["^15",[405,"^X",384,536870919]],["^15",[405,"^V",396,536870919]],["^15",[405,"^U",384,536870919]],["^15",[405,"^?",["^ ","^1;",4],536870919]],["^15",[405,"^J",[],536870919]],["^15",[405,"^;","~u686c5fe9-65a5-4b21-9054-5b83581877b9",536870919]],["^15",[406,"^Q","",536870919]],["^15",[406,"^O","^16",536870919]],["^15",[406,"^F",394,536870919]],["^15",[406,"^X",384,536870919]],["^15",[406,"^V",384,536870919]],["^15",[406,"^U",384,536870919]],["^15",[406,"^;","~u686c5fe9-987b-4a3a-82ab-38eddf03309d",536870919]],["^15",[407,"^?",["^ ","^1A","embed","^1B",["[[scratchpad]]"]],536870919]],["^15",[407,"^W","macro",536870919]],["^15",[407,"^T","embed [[scratchpad]]",536870919]],["^15",[408,"^?",["^ ","^1A","query","^1B",["(and (task TODO IN-PROGRESS) (and (not (priority C)) (not (priority B))))"]],536870919]],["^15",[408,"^W","macro",536870919]],["^15",[408,"^T","query (and (task TODO IN-PROGRESS) (and (not (priority C)) (not (priority B))))",536870919]],["^15",[409,"^?",["^ ","^1A","query","^1B",["(and (task TODO IN-PROGRESS) (or (priority C) (priority B)))"]],536870919]],["^15",[409,"^W","macro",536870919]],["^15",[409,"^T","query (and (task TODO IN-PROGRESS) (or (priority C) (priority B)))",536870919]],["^15",[410,"^3","## Meta:\n\t- Additional Tags:\n\t- Additional References:\n\t- **Subpages:**\n\t  background-color:: purple\n\t\t- #+BEGIN_QUERY\n\t\t  {\n\t\t   :title \"Index:\"\n\t\t    :query (namespace [[Templates]])\n\t\t  }\n\t\t  #+END_QUERY\n\t- **Summery:**\n\t  background-color:: blue\n\t\t- Templates to use when creating new Sides\n- ---\n-",536870919]],["^15",[410,"^17",1751932905453,536870919]],["^15",[410,"^Z","pages/Templates.md",536870919]],["^15",[411,"^Q","#+BEGIN_QUERY\n{\n :title \"Index:\"\n  :query (namespace [[Templates]])\n}\n#+END_QUERY",536870919]],["^15",[411,"^O","^16",536870919]],["^15",[411,"^F",419,536870919]],["^15",[411,"^X",386,536870919]],["^15",[411,"^V",419,536870919]],["^15",[411,"^U",386,536870919]],["^15",[411,"^;","~u686c5fe9-b34f-4dd0-8ef7-9cd4a80149e5",536870919]],["^15",[412,"^Q","Templates to use when creating new Sides",536870919]],["^15",[412,"^O","^16",536870919]],["^15",[412,"^F",416,536870919]],["^15",[412,"^X",386,536870919]],["^15",[412,"^V",416,536870919]],["^15",[412,"^U",386,536870919]],["^15",[412,"^;","~u686c5fe9-ba74-4f27-965e-9d296a812849",536870919]],["^15",[413,"^Q","---",536870919]],["^15",[413,"^O","^16",536870919]],["^15",[413,"^F",418,536870919]],["^15",[413,"^X",386,536870919]],["^15",[413,"^V",386,536870919]],["^15",[413,"^U",386,536870919]],["^15",[413,"^;","~u686c5fe9-b64a-4f19-8c25-fa63274d7c3b",536870919]],["^15",[414,"^Q","Additional References:",536870919]],["^15",[414,"^O","^16",536870919]],["^15",[414,"^F",417,536870919]],["^15",[414,"^X",386,536870919]],["^15",[414,"^V",418,536870919]],["^15",[414,"^U",386,536870919]],["^15",[414,"^;","~u686c5fe9-297f-44fc-be0b-011675494d44",536870919]],["^15",[415,"^Q","",536870919]],["^15",[415,"^O","^16",536870919]],["^15",[415,"^F",413,536870919]],["^15",[415,"^X",386,536870919]],["^15",[415,"^V",386,536870919]],["^15",[415,"^U",386,536870919]],["^15",[415,"^;","~u686c5fe9-9fe4-4bf8-8b49-9cfef116b6c1",536870919]],["^15",[416,"^Q","**Summery:**\nbackground-color:: blue",536870919]],["^15",[416,"^O","^16",536870919]],["^15",[416,"^F",419,536870919]],["^15",[416,"^X",386,536870919]],["^15",[416,"^V",418,536870919]],["^15",[416,"^U",386,536870919]],["^15",[416,"^?",["^ ","^1=","blue"],536870919]],["^15",[416,"^J",["^1="],536870919]],["^15",[416,"^4",["^ ","^1=","blue"],536870919]],["^15",[416,"^;","~u686c5fe9-18fb-492b-906f-d4b270656d17",536870919]],["^15",[417,"^Q","Additional Tags:",536870919]],["^15",[417,"^O","^16",536870919]],["^15",[417,"^F",418,536870919]],["^15",[417,"^X",386,536870919]],["^15",[417,"^V",418,536870919]],["^15",[417,"^U",386,536870919]],["^15",[417,"^;","~u686c5fe9-e1fe-41da-8de6-1d3a9521e752",536870919]],["^15",[418,"^Q","## Meta:",536870919]],["^15",[418,"^O","^16",536870919]],["^15",[418,"^F",386,536870919]],["^15",[418,"^X",386,536870919]],["^15",[418,"^V",386,536870919]],["^15",[418,"^U",386,536870919]],["^15",[418,"^?",["^ ","^1;",2],536870919]],["^15",[418,"^J",[],536870919]],["^15",[418,"^;","~u686c5fe9-8f39-4e55-8c9d-6a2c5f27f43a",536870919]],["^15",[419,"^Q","**Subpages:**\nbackground-color:: purple",536870919]],["^15",[419,"^O","^16",536870919]],["^15",[419,"^F",414,536870919]],["^15",[419,"^X",386,536870919]],["^15",[419,"^V",418,536870919]],["^15",[419,"^U",386,536870919]],["^15",[419,"^?",["^ ","^1=","purple"],536870919]],["^15",[419,"^J",["^1="],536870919]],["^15",[419,"^4",["^ ","^1=","purple"],536870919]],["^15",[419,"^;","~u686c5fe9-f60d-41e0-9952-3e77c46c1d02",536870919]],["^15",[420,"^3","# <% current page %>\ntemplate:: Notes\ntemplate-including-parent:: false\n\t- ## Meta\n\t\t- Additional Tags:\n\t\t- Additional References:\n\t\t- **Notes:**\n\t\t  background-color:: red\n\t\t\t- {{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page <% current page %>) (namespace <% current page %>)))}}\n\t\t\t  query-sort-by:: block\n\t\t\t  query-table:: true\n\t\t\t  query-sort-desc:: false\n\t\t- **Slides:**\n\t\t  background-color:: green\n\t\t\t- {{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page <% current page %>) (namespace <% current page %>)))}}\n\t\t- **Summery**:\n\t\t  background-color:: blue\n\t\t\t-\n\t- ---\n\t-\n-\n-\n- Note Simpler used Tags Query:\n- ```\n  #+BEGIN_QUERY\n  {\n   :title \"Tags in current page and subpages\"\n   :query [:find (pull ?tag [*])\n           :in $ ?current-page\n           :where\n           [?p :block/name ?current-page]\n           [?b :block/page ?p]\n           [?b :block/refs ?tag]]\n   :inputs [:current-page]}\n   :result-transform (fn [result] (->> result (map first) distinct))\n   :view :table\n  }\n  ```",536870919]],["^15",[420,"^17",1751932905459,536870919]],["^15",[420,"^Z","pages/Templates___Notes.md",536870919]],["^15",[421,"^K",1751932905458,536870919]],["^15",[421,"^[",420,536870919]],["^15",[421,"^@",false,536870919]],["^15",[421,"^Y","templates/notes",536870919]],["^15",[421,"^A",386,536870919]],["^15",[421,"^11","Templates/Notes",536870919]],["^15",[421,"^B",1751932905458,536870919]],["^15",[421,"^;","~u686c5fe9-f00f-4020-a5c3-a39b692ad791",536870919]],["^15",[422,"^Q","**Slides:**\nbackground-color:: green",536870919]],["^15",[422,"^O","^16",536870919]],["^15",[422,"^F",432,536870919]],["^15",[422,"^X",421,536870919]],["^15",[422,"^V",434,536870919]],["^15",[422,"^U",421,536870919]],["^15",[422,"^?",["^ 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","^1=","purple"],536870919]],["^15",[460,"^;","~u686c5fe9-a9d5-4be9-9a57-e44fe7603e5b",536870919]],["^15",[461,"^Q","",536870919]],["^15",[461,"^O","^16",536870919]],["^15",[461,"^F",469,536870919]],["^15",[461,"^X",457,536870919]],["^15",[461,"^V",463,536870919]],["^15",[461,"^U",457,536870919]],["^15",[461,"^;","~u686c5fe9-fc91-47a5-94c3-dfe1bf60affc",536870919]],["^15",[462,"^Q","## Meta:",536870919]],["^15",[462,"^O","^16",536870919]],["^15",[462,"^F",463,536870919]],["^15",[462,"^X",457,536870919]],["^15",[462,"^V",463,536870919]],["^15",[462,"^U",457,536870919]],["^15",[462,"^?",["^ ","^1;",2],536870919]],["^15",[462,"^J",[],536870919]],["^15",[462,"^;","~u686c5fe9-a1dd-404f-977a-7122228c41c0",536870919]],["^15",[463,"^Q","# <% current page %>\ntemplate:: SmallOverview\ntemplate-including-parent:: false",536870919]],["^15",[463,"^O","^16",536870919]],["^15",[463,"^F",459,536870919]],["^15",[463,"^X",457,536870919]],["^15",[463,"^V",457,536870919]],["^15",[463,"^U",457,536870919]],["^15",[463,"^?",["^ ","^1E","SmallOverview","^1F",false,"^1;",1],536870919]],["^15",[463,"^J",["^1E","^1F"],536870919]],["^15",[463,"^4",["^ ","^1E","SmallOverview","^1F","false"],536870919]],["^15",[463,"^;","~u686c5fe9-4f6e-48b2-934b-82b61083722e",536870919]],["^15",[464,"^Q","#+BEGIN_QUERY\n{\n :title \"Index:\"\n  :query (namespace <% current page %>)\n}\n#+END_QUERY",536870919]],["^15",[464,"^O","^16",536870919]],["^15",[464,"^F",460,536870919]],["^15",[464,"^X",457,536870919]],["^15",[464,"^V",460,536870919]],["^15",[464,"^U",457,536870919]],["^15",[464,"^;","~u686c5fe9-27cc-406b-83de-a6f186e1e00e",536870919]],["^15",[465,"^Q","",536870919]],["^15",[465,"^O","^16",536870919]],["^15",[465,"^F",458,536870919]],["^15",[465,"^X",457,536870919]],["^15",[465,"^V",458,536870919]],["^15",[465,"^U",457,536870919]],["^15",[465,"^;","~u686c5fe9-67ac-45d6-985a-f38412ba5f3f",536870919]],["^15",[466,"^Q","Additional References:",536870919]],["^15",[466,"^O","^16",536870919]],["^15",[466,"^F",468,536870919]],["^15",[466,"^X",457,536870919]],["^15",[466,"^V",462,536870919]],["^15",[466,"^U",457,536870919]],["^15",[466,"^;","~u686c5fe9-7416-4a95-9b7e-0f8eb77bc002",536870919]],["^15",[467,"^Q","",536870919]],["^15",[467,"^O","^16",536870919]],["^15",[467,"^F",463,536870919]],["^15",[467,"^X",457,536870919]],["^15",[467,"^V",457,536870919]],["^15",[467,"^U",457,536870919]],["^15",[467,"^;","~u686c5fe9-5d11-49ff-ae4f-b8af45af1ea5",536870919]],["^15",[468,"^Q","Additional Tags:",536870919]],["^15",[468,"^O","^16",536870919]],["^15",[468,"^F",462,536870919]],["^15",[468,"^X",457,536870919]],["^15",[468,"^V",462,536870919]],["^15",[468,"^U",457,536870919]],["^15",[468,"^;","~u686c5fe9-3cf0-46da-a29f-e6adafe76090",536870919]],["^15",[469,"^Q","---",536870919]],["^15",[469,"^O","^16",536870919]],["^15",[469,"^F",462,536870919]],["^15",[469,"^X",457,536870919]],["^15",[469,"^V",463,536870919]],["^15",[469,"^U",457,536870919]],["^15",[469,"^;","~u686c5fe9-fc18-492b-8f6d-85f7a2550877",536870919]],["^15",[470,"^Q","",536870919]],["^15",[470,"^O","^16",536870919]],["^15",[470,"^F",467,536870919]],["^15",[470,"^X",457,536870919]],["^15",[470,"^V",457,536870919]],["^15",[470,"^U",457,536870919]],["^15",[470,"^;","~u686c5fe9-137b-4641-8fd5-df852e238e95",536870919]],["^15",[471,"^3","- ```\n  ```",536873194]],["^15",[471,"^17",1751932905476,536870919]],["^15",[471,"^18","~m1752409444605",536873193]],["^15",[471,"^Z","pages/scratchpad.md",536870919]],["^15",[472,"^Q","~```\n```",536873192]],["^15",[472,"^O","^16",536870919]],["^15",[472,"^F",385,536870919]],["^15",[472,"^X",385,536870919]],["^15",[472,"^V",385,536870919]],["^15",[472,"^U",385,536870919]],["^15",[472,"^?",["^ "],536873192]],["^15",[472,"^;","~u686c5fe9-8f04-4036-8753-56bc7c4c1d81",536870919]],["^15",[473,"^3","- This page is a collection of some of the Advanced queries from the [[Datalog]] channel on the [[Logseq/Discord]] server. #datalog\n  id:: 61db13f4-75e8-4f87-ad60-3ac3479c5fc8\n- ### Resources\n\t- [link: The first message on the datalog channel](https://discord.com/channels/725182569297215569/743139225746145311/743139795865174119)\n\t- [link: Logseq docs - Advanced queries](https://docs.logseq.com/#/page/advanced%20queries)\n\t- [link: Logseq datascript schema](https://gist.github.com/tiensonqin/9a40575827f8f63eec54432443ecb929)\n\t- [link: Logseq frontend db model](https://github.com/logseq/logseq/blob/master/src/main/frontend/db/model.cljs)\n\t- [link: How to Graph Your Data - talk by Paula Gearon](https://youtu.be/tbVwmFBnfo4)\n\t- [link: Domain modelling with datalog - talk by Norbert Wojtowicz](https://youtu.be/oo-7mN9WXTw)\n\t- [link: Athens Research ClojureFam](https://github.com/athensresearch/ClojureFam)\n\t- [link: Learn datalog today](http://www.learndatalogtoday.org)\n\t- [link: Uday Verma's Blog: Datascript 101](https://udayv.com/blog/2016-04-28-datascript101/)\n\t- [link: ClojureScript Cheatsheet](https://cljs.info/cheatsheet/)\n\t- [link: Hiccup syntax](https://github.com/weavejester/hiccup/wiki/Syntax)\n\t- [link: Logseq datascript](https://github.com/logseq/datascript/blob/fork/src/datascript/query.cljc)\n\t- [link: Advanced queries tutorial](https://mschmidtkorth.github.io/logseq-msk-docs/#/page/advanced%20queries%20tutorial)\n- ### Own Querys\n\t- **List all the pages updated in the last 3 days**\n\t\t- See also:\n\t\t\t- {{embed ((686c3af1-5149-453c-94b2-94028372c22b))}}\n\t\t- query-sort-by:: page\n\t\t  query-table:: true\n\t\t  query-sort-desc:: false\n\t\t  query-properties:: [:page :block]\n\t\t  #+BEGIN_QUERY\n\t\t  {:title [:h3 \"Updated in last 3 days\"]\n\t\t   :query [:find (pull ?page [*])\n\t\t  :in $ ?end\n\t\t  :where\n\t\t  [?b :block/updated-at ?v]\n\t\t  [(- ?end 259200000 ) ?period]\n\t\t  [(>= ?v ?period)]\n\t\t  [(< ?v ?end)]\n\t\t  [?page :block/page ?b]\n\t\t  ]\n\t\t  ; :inputs [:start-of-today-ms]\n\t\t  ; :inputs [:right-now-ms]\n\t\t  :inputs [:end-of-today-ms]\n\t\t  }\n\t\t  #+END_QUERY\n\t\t-\n-\n- ### Queries\n\t- **Query to search a textual input**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/821317203910721577)\n\t  date:: [[2021-03-16]]\n\t  collapsed:: true\n\t\t- collapsed:: true\n\t\t  #+BEGIN_QUERY\n\t\t  {:title \"Advanced query to search for the text 'Quantum mechanics'\"\n\t\t  :query\n\t\t   [:find (pull ?b [*])\n\t\t    :in $ ?pattern\n\t\t    :where\n\t\t    [?b :block/content ?c]\n\t\t    [(re-pattern ?pattern) ?q]\n\t\t    [(re-find ?q ?c)]]\n\t\t   :inputs [\"Quantum mechanics\"]\n\t\t   :collapsed? true}\n\t\t  #+END_QUERY\n\t\t- Equivalent to `{{query \"Quantum mechanics\"}}`\n\t- **Find all TODO tasks outside of the journal pages**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/824060683947737138)\n\t  date:: [[2021-03-24]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:title [:h2.font-bold.opacity-70 \"TODO\"]\n\t\t      :query [\n\t\t              :find (pull ?h [*])\n\t\t              :where\n\t\t                  [?h :block/marker ?marker]\n\t\t                  [(= ?marker \"TODO\")]\n\t\t              ]\n\t\t      :result-transform (fn [result]\n\t\t                          (sort-by (fn [h]\n\t\t                                     (get h :block/priority \"Z\")) result))\n\t\t      :collapsed? true}\n\t\t  #+END_QUERY\n\t- **All TODO blocks recursively related to a tag or page**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/825330146780381205)\n\t  date:: [[2021-03-27]]\n\t  collapsed:: true\n\t\t- How would you query for all TODO blocks that are tagged or recursively related to ancestor block/page that is tagged with a specific tag? For example, I want all TODO tasks that are tagged as clojure or contained under blocks or pages (in any indentation depth) that are tagged clojure. That way I can see all the clojure related articles I haven't read yet, without having to tag them all explicitly.\n\t\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/825074937651396678)\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"All TODO items related to the tag 'Cowling' \"\n\t\t  :query\n\t\t   [:find (pull ?b [*])\n\t\t    :where\n\t\t    [?b :block/marker \"TODO\"]\n\t\t    [?b :block/page ?p]\n\t\t    (or [?b :block/path-ref-pages [:page/name \"cowl\"]]\n\t\t        [?p :page/tags [:page/name \"cowl\"]])\n\t\t  ]\n\t\t   :collapsed? true}\n\t\t  #+END_QUERY\n\t- **Scheduled items and deadlines from the past week**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/827098887826964490)\n\t  date:: [[2021-04-01]]\n\t  collapsed:: true\n\t\t- Hey, I try to find Schedules or Due dates that are in-between specific dates, but whenever they contain a marker (TODO, NOW, ...) they should only show if that marker is not completed. Unfortunately, I'm not familiar with Datomic or Clojure at all..\n\t\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/826412758438248458)\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"🟠 SLIPPING deadlines (<1W)\"\n\t\t      :query [:find (pull ?block [*])\n\t\t              :in $ ?start ?today\n\t\t              :where\n\t\t              (or\n\t\t                [?block :block/scheduled ?d]\n\t\t                [?block :block/deadline ?d])\n\t\t              (not\n\t\t                [?block :block/marker ?marker] \n\t\t                (not [(contains? #{\"NOW\" \"LATER\" \"TODO\" \"DOING\"} ?marker)]))\n\t\t              [(>= ?d ?start)]\n\t\t              [(<= ?d ?today)]]\n\t\t      :inputs [:8d :today]\n\t\t      :collapsed? true}\n\t\t  #+END_QUERY\n\t- **Find all unlinked pages**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/832512082289229824)\n\t  date:: [[2021-04-16]]\n\t  collapsed:: true\n\t\t- query-table:: false\n\t\t  #+BEGIN_QUERY\n\t\t  {:title \"Orphan pages\"\n\t\t   :query [:find ?name\n\t\t           :where\n\t\t           [?p :page/name ?name]\n\t\t           (not\n\t\t            [?b :block/ref-pages ?p1]\n\t\t            [?b :block/page ?p2]\n\t\t            (or [?p1 :page/name ?name]\n\t\t                [?p2 :page/name ?name]))]\n\t\t   :view (fn [result]\n\t\t           [:div.flex.flex-col\n\t\t            (for [page result]\n\t\t              [:a {:href (str \"/page/\" page)} (clojure.string/capitalize page)])])\n\t\t  :collapsed? true}\n\t\t  #+END_QUERY\n\t- **List of currently DOING tasks**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/848575612385624074)\n\t  date:: [[2021-05-30]]\n\t  collapsed:: true\n\t  :LOGBOOK:\n\t  CLOCK: [2022-01-08 Sat 19:22:04]\n\t  CLOCK: [2022-01-08 Sat 19:22:07]\n\t  CLOCK: [2022-01-08 Sat 19:22:13]\n\t  CLOCK: [2022-01-08 Sat 19:22:14]\n\t  CLOCK: [2022-01-08 Sat 19:22:24]\n\t  CLOCK: [2022-01-08 Sat 19:22:26]\n\t  CLOCK: [2022-01-08 Sat 19:22:28]\n\t  CLOCK: [2022-01-08 Sat 19:22:31]\n\t  CLOCK: [2022-01-08 Sat 19:22:32]\n\t  CLOCK: [2022-01-08 Sat 19:22:42]\n\t  :END:\n\t\t- query-table:: false\n\t\t  collapsed:: true\n\t\t  #+BEGIN_QUERY\n\t\t  {:title \"🟢 DOING\"\n\t\t      :query [:find (pull ?b [*])\n\t\t          :where\n\t\t            [?b :block/marker ?marker]\n\t\t            [(contains? #{\"NOW\" \"DOING\"} ?marker)]]\n\t\t  :breadcrumb-show? false\n\t\t   :result-transform (fn [result]\n\t\t   \t\t(sort-by (fn [h]\n\t\t       \t(get h :block/priority \"Z\"))\n\t\t         result))\n\t\t      :collapsed? true}\n\t\t  #+END_QUERY\n\t- **Query to show random block**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/867362494871765002)\n\t  date:: [[2021-07-21]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"Give me a random block!!!\"\n\t\t   :query [:find (pull ?b [*])\n\t\t           :where\n\t\t           [?b :block/content ?content]\n\t\t           (not [(empty? ?content)])]\n\t\t   :result-transform (fn [result]\n\t\t                       [(rand-nth result)])\n\t\t   :collapsed? true}\n\t\t  #+END_QUERY\n\t- **Query to show a random page**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/867375290396311633)\n\t  date:: [[2021-07-21]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"Give me a random page!!!\"\n\t\t   :query [:find ?name\n\t\t           :where\n\t\t           [?b :block/name ?name]]\n\t\t   :result-transform (fn [result]\n\t\t                       [(rand-nth result)])\n\t\t  :view (fn [result]\n\t\t         [:div.flex.flex-col\n\t\t          (for [page result]\n\t\t            [:a {:href (str \"/#/page/\" page)} (clojure.string/capitalize page)])])\n\t\t   :collapsed? true}\n\t\t  #+END_QUERY\n\t- **Search by block uuid**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868359519678398504)\n\t  date:: [[2021-07-24]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:query [:find (pull ?b [*]) :in $ ?uuid\n\t\t        :where\n\t\t        [?b :block/uuid ?u]\n\t\t        [(str ?u) ?s]\n\t\t        [(= ?uuid ?s)]]\n\t\t   :inputs [\"61d9ce9c-0822-4c1d-a9f3-78537657155b\"]\n\t\t  }\n\t\t  #+END_QUERY\n\t- **Query backlog TODO and DOING tasks**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868476460061577227)\n\t  date:: [[2021-07-24]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY \n\t\t  {:title \"Backlog\"\n\t\t  :query [:find (pull ?todo [*]) :in $ ?current-page\n\t\t  :where\n\t\t  [?p :block/name ?current-page]\n\t\t  [?todo :block/marker ?marker]\n\t\t  (not [?todo :block/page ?p])\n\t\t  (not [_ :block/refs ?todo])\n\t\t  [(contains? #{\"TODO\" \"DOING\"} ?marker)]\n\t\t  ]\n\t\t  :inputs [:current-page]\n\t\t   :breadcrumb-show? false\n\t\t   :result-transform (fn [result]\n\t\t                          (sort-by (fn [h]\n\t\t                                     (get h :block/priority \"Z\")) result))\n\t\t   :collapsed? true}\n\t\t  #+END_QUERY\n\t- **Search for a keyword within a specific set of pages**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868531920923918356), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868600535694082049)\n\t  date:: [[2021-07-24]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"Siloed search\"\n\t\t   :query [:find (pull ?b [*])\n\t\t           :in $ ?keyword [?title ...]\n\t\t           :where\n\t\t           [?p :block/original-name ?title]\n\t\t           [?b :block/page ?p]\n\t\t           [?b :block/content ?c]\n\t\t           [(clojure.string/includes? ?c ?keyword)]]\n\t\t   :inputs [\"tasks\" [\"Advanced queries\" \"Advanced queries/Examples\"]]\n\t\t   }\n\t\t  #+END_QUERY\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"Siloed search\"\n\t\t   :query [:find (pull ?b [*])\n\t\t           :in $ ?keyword [?title ...]\n\t\t           :where\n\t\t           [(str \"(?i)\" ?keyword) ?matcher]\n\t\t           [(re-pattern ?matcher) ?regex]\n\t\t           [?p :block/original-name ?title]\n\t\t           [?b :block/page ?p]\n\t\t           [?b :block/content ?c]\n\t\t           [(re-find ?regex ?c)]]\n\t\t   :inputs [\"tasks\" [\"Advanced queries\" \"Advanced queries/Examples\"]]\n\t\t   }\n\t\t  #+END_QUERY\n\t- **Broken references**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/869291105911447653)\n\t  date:: [[2021-07-26]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY \n\t\t  {:title \"Broken References\"\n\t\t   :query [:find (pull ?b [*])\n\t\t           :in $ ?matcher\n\t\t           :where\n\t\t           [(re-pattern ?matcher) ?regex]\n\t\t           [?b :block/content ?c]\n\t\t           [(re-find ?regex ?c)]\n\t\t           [(missing? $ ?b :block/refs)]]\n\t\t   :inputs [ \"\\\\([0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}\\\\)\"]\n\t\t   }\n\t\t  #+END_QUERY\n\t- **Current NOW and DOING tasks for pages tagged with \"project\"**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/879621160860532766)\n\t  date:: [[2021-08-24]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"🔨 Project Now\"\n\t\t      :query [:find (pull ?h [*])\n\t\t          :in $ ?searchterm\n\t\t          :where\n\t\t          [?h :block/marker ?marker]\n\t\t          [(contains? #{\"NOW\" \"DOING\"} ?marker)]\n\t\t          [?p :block/properties ?a]\n\t\t          [(get ?a :type) ?t]\n\t\t          [(= ?searchterm ?t)]\n\t\t          [?br :block/name ?searchterm]\n\t\t          (or [?h :block/page ?p]\n\t\t              [?h :block/refs ?br])\n\t\t          ]\n\t\t      :inputs [\"project\"]\n\t\t      :result-transform (fn [result]\n\t\t          (sort-by (fn [h]\n\t\t              (get h :block/priority \"Z\")) result))\n\t\t      :collapsed? false}\n\t\t  #+END_QUERY\n\t- **Querying TODOs from hierarchy pages**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/880431776500179004)\n\t  date:: [[2021-08-06]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:query [:find (pull ?b [*])\n\t\t           :in $ ?s\n\t\t           :where\n\t\t           [?b :block/marker \"DONE\"]\n\t\t           [?b :block/page ?p]\n\t\t           [?p :block/original-name ?n]\n\t\t           [(clojure.string/starts-with? ?n ?s)]]\n\t\t   :inputs [ \"Advanced queries/\" ]\n\t\t   }\n\t\t  #+END_QUERY\n\t\t- DONE Completed this query\n\t- **List all the pages updated in the last 3 days**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/884486589827395724),  [Discord](https://discord.com/channels/725182569297215569/743139225746145311/885529176730398821)\n\t  date:: [[2021-09-06]], [[2021-09-09]]\n\t  id:: 686c3af1-5149-453c-94b2-94028372c22b\n\t  collapsed:: true\n\t\t- The time entered in the Unix time stamp (see https://www.unixtimestamp.com) which is the number of milliseconds since Jan 1st 1970.\n\t\t  query-properties:: [:page :updated-at]\n\t\t- We may have to multiply with 1000 to get the result in milliseconds, if using the above site.\n\t\t- query-sort-by:: updated-at\n\t\t  query-sort-desc:: true\n\t\t  query-properties:: [:page :updated-at]\n\t\t  query-table:: true\n\t\t  #+BEGIN_QUERY\n\t\t  {:title [:h3 \"Updated in last 3 days\"]\n\t\t   :query [:find (pull ?b [*])\n\t\t  :in $ ?end\n\t\t  :where\n\t\t  [?b :block/updated-at ?v]\n\t\t  [(- ?end 259200000 ) ?period]\n\t\t  [(>= ?v ?period)]\n\t\t  [(< ?v ?end)]\n\t\t  ]\n\t\t  ; :inputs [:start-of-today-ms]\n\t\t  ; :inputs [:right-now-ms]\n\t\t  :inputs [:end-of-today-ms]\n\t\t  }\n\t\t  #+END_QUERY\n\t-\n\t- **Query for TODO and LATER but excluding SCHEDULED tasks**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/888689090160103476)\n\t  date:: [[2021-09-18]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:query [:find (pull ?b [*])\n\t\t   :where\n\t\t   [?b :block/marker ?m]\n\t\t   [(contains? #{\"TODO\" \"LATER\"} ?m)]\n\t\t   [(missing? $ ?b :block/scheduled)]\n\t\t   [(missing? $ ?b :block/deadline)] ] }\n\t\t  #+END_QUERY\n\t- **Query for a task having a given block property**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/889013656409505802)\n\t  date:: [[2021-09-19]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"My TASKS (type: example)\"\n\t\t  :query [:find (pull ?b [*])\n\t\t  :where\n\t\t  [?b :block/marker ?marker]\n\t\t  [(contains? #{\"DONE\"} ?marker)]\n\t\t  [?b :block/properties ?prop]\n\t\t  [(get ?prop :type) ?type]\n\t\t  [(= \"example\" ?type)]\n\t\t  ]\n\t\t  :collapsed? false}\n\t\t  #+END_QUERY\n\t\t- DONE Check query with task and property.\n\t\t  type:: example\n\t- **List all projects (type:: project) that do not have any TODOs on their pages**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/891274363062599702)\n\t  date:: [[2021-09-25]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:query[:find (pull ?p [*]) \n\t\t    :where\n\t\t    [?b :block/page ?p]\n\t\t    [?p :block/properties ?props]\n\t\t    [(get ?props :type) ?type]\n\t\t    [(= ?type \"project\")]\n\t\t    (not-join [?p]\n\t\t      [?b :block/page ?p]\n\t\t      [?b :block/marker _]) ]}\n\t\t  #+END_QUERY\n\t- **List all the projects with page property \"status\" as [[Active]]**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/891910125667905546)\n\t  date:: [[2021-9-27]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:query[:find (pull ?p [*]) \n\t\t    :where\n\t\t    [?b :block/page ?p]\n\t\t    [?p :block/properties ?props]\n\t\t    [(get ?props :status) ?status]\n\t\t    [(= ?status #{\"Active\"})]]}\n\t\t  #+END_QUERY\n\t- **Query all tasks excluding those on a page [[Journal reviews]]**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/892166421029728256), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/892189369622990949)\n\t  date:: [[2021-09-27]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"📅 TESTING\"\n\t\t        :query [:find (pull ?b [*])\n\t\t                :where\n\t\t                [?b :block/marker ?marker]\n\t\t                [(missing? $ ?b :block/scheduled)]\n\t\t                [(missing? $ ?b :block/deadline)]\n\t\t                [(contains? #{\"LATER\" \"TODO\"} ?marker)]\n\t\t                [?b :block/page ?page]\n\t\t                [?page :block/original-name ?name]\n\t\t                (not[(= ?name \"Journal reviews\")])]\n\t\t   }\n\t\t  #+END_QUERY\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"Main Tasks\"\n\t\t        :query [:find (pull ?b [*])\n\t\t                :where\n\t\t                [?b :block/marker ?marker]\n\t\t                [(missing? $ ?b :block/scheduled)]\n\t\t                [(missing? $ ?b :block/deadline)]\n\t\t                [(contains? #{\"LATER\" \"TODO\"} ?marker)]\n\t\t                (not [?b :block/path-refs [:block/name \"test\"]])\n\t\t                [?b :block/page ?page]\n\t\t                [?page :block/original-name ?name]\n\t\t                (not[(= ?name \"Journal reviews\")])]\n\t\t   :breadcrumb-show? false\n\t\t   :result-transform (fn [result]\n\t\t                          (sort-by (fn [h]\n\t\t                                     (get h :block/created-at)) result))\n\t\t  :collapsed? true\n\t\t   }\n\t\t  #+END_QUERY\n\t- WAITING **Query all scheduled/deadlined tasks and sort them by scheduled or deadline date**\n\t  SCHEDULED: <2022-01-30 Sun>\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/897615821688410114)\n\t  date:: [[2021-10-13]]\n\t  collapsed:: true\n\t\t- collapsed:: true\n\t\t  #+BEGIN_QUERY\n\t\t  {:title \"🔮 Future Tasks\"\n\t\t   :query [:find (pull ?block [*])\n\t\t           :in $ ?start ?next\n\t\t           :where\n\t\t           [?block :block/marker ?marker]\n\t\t           [(contains? #{\"NOW\" \"LATER\" \"TODO\" \"DOING\" \"WAITING\"} ?marker)]\n\t\t           (or\n\t\t             [?block :block/scheduled ?d]\n\t\t             [?block :block/deadline ?d])\n\t\t           [(>= ?d ?start)]\n\t\t           [(<= ?d ?next)]]\n\t\t   :inputs [:today :365d-after]\n\t\t   :breadcrumb-show? false\n\t\t   :result-transform (fn [result]\n\t\t                       (sort-by (fn [b]\n\t\t                                 (or (get b :block/scheduled) (get b :block/deadline))) result))\n\t\t   :collapsed? true\n\t\t  }\n\t\t  #+END_QUERY\n\t- **All tasks with priority A**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/898234502890004532)\n\t  date:: [[2021-10-14]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"All todos that with priority A\"\n\t\t   :query [:find (pull ?b [*])\n\t\t         :where\n\t\t         [?b :block/priority \"A\"]]}\n\t\t  #+END_QUERY\n\t- **Query snippet to grab the children blocks**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/901520859779461170)\n\t  date:: [[2021-10-23]]\n\t  collapsed:: true\n\t\t- Replace `(pull ?h [*])` with:\n\t\t- ``` clojure\n\t\t  #+BEGIN_QUERY\n\t\t  (pull ?h [\n\t\t      :db/id\n\t\t      :block/uuid\n\t\t      :block/type\n\t\t      :block/left\n\t\t      :block/format\n\t\t      :block/title\n\t\t      :block/refs\n\t\t      :block/_refs\n\t\t      :block/path-refs\n\t\t      :block/tags\n\t\t      :block/content\n\t\t      :block/marker\n\t\t      :block/priority\n\t\t      :block/properties\n\t\t      :block/body\n\t\t      :block/pre-block?\n\t\t      :block/scheduled\n\t\t      :block/deadline\n\t\t      :block/repeated?\n\t\t      :block/created-at\n\t\t      :block/updated-at\n\t\t      :block/file\n\t\t      :block/parent\n\t\t      :block/unordered\n\t\t      :block/heading-level\n\t\t      {:block/page\n\t\t      [:db/id :block/name :block/original-name :block/journal-day]}\n\t\t      {:block/_parent ...}])\n\t\t  \n\t\t  ```\n\t- **Query for non-task blocks with a schedule/deadline in the past**\n\t  collapsed:: true\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/905889607705575434)\n\t  date:: [[2021-11-04]]\n\t\t- query-table:: false\n\t\t  #+BEGIN_QUERY \n\t\t  {:title \"Old Blocks\"\n\t\t   :query         [:find (pull ?b [*])\n\t\t                   :in $ ?start\n\t\t                   :where\n\t\t                   (or [?b :block/scheduled ?d]\n\t\t                       [?b :block/deadline ?d])\n\t\t                   [(< ?d ?start)]\n\t\t                   (not [?b :block/marker ?marker] \n\t\t                    [(contains? #{\"DONE\" \"CANCELED\"} ?marker)])]\n\t\t   :inputs [:today]\n\t\t   :collapsed? false}\n\t\t  #+END_QUERY\n\t- **Query to find tasks under a block containing the text \"Follow-up\"**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/918847233586253906)\n\t  date:: [[2021-12-10]]\n\t  collapsed:: true\n\t\t- Follow-up\n\t\t\t- DONE find this block\n\t\t\t- #+BEGIN_QUERY\n\t\t\t    {:title \"Find: Follow-up Tasks\"\n\t\t\t    :query [:find (pull ?b [*])\n\t\t\t    :where\n\t\t\t       [?p :block/content \"Follow-up\"]\n\t\t\t       [?b :block/parent ?p]\n\t\t\t       [?b :block/marker ?marker]\n\t\t\t       [(contains? #{\"TODO\" \"DOING\" \"DONE\"} ?marker)]]\n\t\t\t  }\n\t\t\t    #+END_QUERY\n\t- **Query all pages that have been created in the last 2 days**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/920559641514082374)\n\t  date:: [[2021-12-15]]\n\t  collapsed:: true\n\t\t- query-properties:: [:page :created-at]\n\t\t  #+BEGIN_QUERY\n\t\t  {:title \"Pages in last 2 days\"\n\t\t  :query [:find (pull ?p [*])\n\t\t              :in $ ?today\n\t\t              :where \n\t\t              [?p :block/created-at ?d]\n\t\t              [(- ?today 172800000) ?start]\n\t\t              [(>= ?d ?start)]\n\t\t              [(<= ?d ?today)]\n\t\t      ]\n\t\t  :inputs [:right-now-ms]}\n\t\t  #+END_QUERY\n\t\t- `172800000` is 2 days in ms.\n\t- **Query to create a table with page and todo count**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/921337299164356658)\n\t  date:: [[2021-12-17]]\n\t  collapsed:: true\n\t\t- query-table:: false\n\t\t  #+BEGIN_QUERY \n\t\t  {:title \"TODO by page\"\n\t\t    :query     [:find (pull ?b [:block/marker :block/parent {:block/page\n\t\t       [:db/id :block/name]}])\n\t\t    :where\n\t\t             [?b :block/marker ?marker]\n\t\t             [(= \"TODO\" ?marker)] \n\t\t    ]\n\t\t  :result-transform (fn [result]\n\t\t                          (map (fn [[key value]] {:page (get key :block/name) :count (count value)}) (group-by :block/page result))\n\t\t                  )\n\t\t  :view (fn [rows] [:table \n\t\t   [:thead \n\t\t    [:tr \n\t\t     [:th \"Page\"] \n\t\t     [:th \"Count\"] ] ] \n\t\t   [:tbody \n\t\t  (for [r rows] [:tr \n\t\t     [:td [:a {:href (str \"#/page/\" (get r :page))} (get r :page)] ] \n\t\t     [:td (get r :count)] ])\n\t\t     ]]\n\t\t  )\n\t\t  }\n\t\t  #+END_QUERY\n\t- **Simple query to finds all the tasks created today**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923276145321967676), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923282510283169812), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923486975552528424)\n\t  date:: [[2021-12-22]]\n\t  collapsed:: true\n\t\t- {{query (and (between -0d ++0d) (task TODO))}}\n\t\t- d is used to indicate a day. 0d means 0 days or today. \n\t\t  Think of it this way:\n\t\t  Between  -0d and ++0d\n\t\t\t- = between today-1 and today+1\n\t\t\t  = between yesterday and tommrow \n\t\t\t  = today\n\t\t- ++1d transformed to todays date\n\t\t  +1d transformed to tomorrow\n\t\t  -1d transformed to yesterday\n\t- **Query all blocks on the current page having a specific tag, say \"#datalog\"**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923925207738109962)\n\t  date:: [[2021-12-24]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {\n\t\t      :query [\n\t\t          :find (pull ?b [*]) \n\t\t          :in $ ?current-page\n\t\t          :where \n\t\t              [?p :block/name ?current-page]\n\t\t              [?b :block/page ?p]\n\t\t              [?b :block/path-refs [:block/name \"datalog\"]]\n\t\t      ]\n\t\t      :inputs [:current-page]}\n\t\t  }\n\t\t  #+END_QUERY\n\t- **Query to create a table from \"birthday\" property of a page**\n\t  id:: 61db1cf4-95f0-458b-97b9-a42f02c9ce12\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/924614606842904577)\n\t  date:: [[2021-12-26]]\n\t\t- query-table:: false\n\t\t  query-properties:: [:alias :birthday]\n\t\t  #+BEGIN_QUERY\n\t\t  {\n\t\t   :query [:find (pull ?b [*])\n\t\t        :where\n\t\t        [?b :block/properties ?bprops]\n\t\t        [(get ?bprops :birthday \"nil\") ?bs]\n\t\t        [(not= ?bs \"nil\")]]\n\t\t  :result-transform (fn [result]\n\t\t      (sort-by (fn [h]\n\t\t        (get-in h [:block/properties :verjaardag])) result))\n\t\t  }\n\t\t  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references**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/869291105911447653)\ndate:: [[2021-07-26]]\ncollapsed:: true",536870919]],["^15",[520,"^O","^16",536870919]],["^15",[520,"^F",581,536870919]],["^15",[520,"^X",483,536870919]],["^15",[520,"^V",577,536870919]],["^15",[520,"^U",483,536870919]],["^15",[520,"^U",495,536870919]],["^15",[520,"^U",498,536870919]],["^15",[520,"^U",502,536870919]],["^15",[520,"^?",["^ ","~:link","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/869291105911447653)","~:date",["^1:",["2021-07-26"]]],536870919]],["^15",[520,"^J",["^1G","^1H"],536870919]],["^15",[520,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/869291105911447653)","^1H","[[2021-07-26]]"],536870919]],["^15",[520,"^H",495,536870919]],["^15",[520,"^H",498,536870919]],["^15",[520,"^H",502,536870919]],["^15",[520,"^;","~u686c5fe9-0c8e-4922-a32e-72e76b20a938",536870919]],["^15",[521,"^Q","++1d transformed to todays date\n+1d transformed to tomorrow\n-1d transformed to yesterday",536870919]],["^15",[521,"^O","^16",536870919]],["^15",[521,"^F",561,536870919]],["^15",[521,"^X",483,536870919]],["^15",[521,"^V",611,536870919]],["^15",[521,"^U",483,536870919]],["^15",[521,"^U",498,536870919]],["^15",[521,"^U",501,536870919]],["^15",[521,"^U",502,536870919]],["^15",[521,"^;","~u686c5fe9-303f-48d8-80b1-5688cea74dcd",536870919]],["^15",[522,"^Q","Follow-up",536870919]],["^15",[522,"^O","^16",536870919]],["^15",[522,"^F",612,536870919]],["^15",[522,"^X",483,536870919]],["^15",[522,"^V",612,536870919]],["^15",[522,"^U",476,536870919]],["^15",[522,"^U",483,536870919]],["^15",[522,"^U",498,536870919]],["^15",[522,"^U",502,536870919]],["^15",[522,"^;","~u686c5fe9-48b3-487f-a58a-d4163d94fc52",536870919]],["^15",[523,"^M",true,536870919]],["^15",[523,"^Q","collapsed:: true\n#+BEGIN_QUERY\n{:title \"Advanced query to search for the text 'Quantum mechanics'\"\n:query\n [:find (pull ?b [*])\n  :in $ ?pattern\n  :where\n  [?b :block/content ?c]\n  [(re-pattern ?pattern) ?q]\n  [(re-find ?q ?c)]]\n :inputs [\"Quantum mechanics\"]\n :collapsed? true}\n#+END_QUERY",536870919]],["^15",[523,"^O","^16",536870919]],["^15",[523,"^F",596,536870919]],["^15",[523,"^X",483,536870919]],["^15",[523,"^V",596,536870919]],["^15",[523,"^U",477,536870919]],["^15",[523,"^U",483,536870919]],["^15",[523,"^U",498,536870919]],["^15",[523,"^U",502,536870919]],["^15",[523,"^?",["^ "],536870919]],["^15",[523,"^J",[],536870919]],["^15",[523,"^4",["^ "],536870919]],["^15",[523,"^;","~u686c5fe9-c10a-4f29-ba52-900158559f3a",536870919]],["^15",[524,"^Q","query-sort-by:: updated-at\nquery-sort-desc:: true\nquery-properties:: [:page :updated-at]\nquery-table:: true\n#+BEGIN_QUERY\n{:title [:h3 \"Updated in last 3 days\"]\n :query [:find (pull ?b [*])\n:in $ ?end\n:where\n[?b :block/updated-at ?v]\n[(- ?end 259200000 ) ?period]\n[(>= ?v ?period)]\n[(< ?v ?end)]\n]\n; :inputs [:start-of-today-ms]\n; :inputs [:right-now-ms]\n:inputs [:end-of-today-ms]\n}\n#+END_QUERY",536870919]],["^15",[524,"^O","^16",536870919]],["^15",[524,"^F",593,536870919]],["^15",[524,"^X",483,536870919]],["^15",[524,"^V",546,536870919]],["^15",[524,"^U",483,536870919]],["^15",[524,"^U",490,536870919]],["^15",[524,"^U",498,536870919]],["^15",[524,"^U",502,536870919]],["^15",[524,"^U",508,536870919]],["^15",[524,"^?",["^ ","^1?","updated-at","^1@",true,"~:query-properties","[:page :updated-at]","^1>",true],536870919]],["^15",[524,"^J",["^1?","^1@","^1I","^1>"],536870919]],["^15",[524,"^4",["^ ","^1?","updated-at","^1@","true","^1I","[:page :updated-at]","^1>","true"],536870919]],["^15",[524,"^;","~u686c5fe9-615f-4d5c-9580-1f1025a082a5",536870919]],["^15",[525,"^Q","",536870919]],["^15",[525,"^O","^16",536870919]],["^15",[525,"^F",563,536870919]],["^15",[525,"^X",483,536870919]],["^15",[525,"^V",554,536870919]],["^15",[525,"^U",483,536870919]],["^15",[525,"^;","~u686c5fe9-a227-4953-a70d-3d2aacb81b0e",536870919]],["^15",[526,"^M",true,536870919]],["^15",[526,"^Q","**Query all blocks on the current page having a specific tag, say \"#datalog\"**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923925207738109962)\ndate:: [[2021-12-24]]\ncollapsed:: true",536870919]],["^15",[526,"^O","^16",536870919]],["^15",[526,"^F",611,536870919]],["^15",[526,"^X",483,536870919]],["^15",[526,"^V",577,536870919]],["^15",[526,"^U",483,536870919]],["^15",[526,"^U",498,536870919]],["^15",[526,"^U",502,536870919]],["^15",[526,"^U",506,536870919]],["^15",[526,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/923925207738109962)","^1H",["^1:",["2021-12-24"]]],536870919]],["^15",[526,"^J",["^1G","^1H"],536870919]],["^15",[526,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/923925207738109962)","^1H","[[2021-12-24]]"],536870919]],["^15",[526,"^H",498,536870919]],["^15",[526,"^H",502,536870919]],["^15",[526,"^H",506,536870919]],["^15",[526,"^;","~u686c5fe9-4e6d-4db6-bf3b-ea3cd22edbb3",536870919]],["^15",[527,"^Q","[link: Logseq datascript](https://github.com/logseq/datascript/blob/fork/src/datascript/query.cljc)",536870919]],["^15",[527,"^O","^16",536870919]],["^15",[527,"^F",557,536870919]],["^15",[527,"^X",483,536870919]],["^15",[527,"^V",589,536870919]],["^15",[527,"^U",483,536870919]],["^15",[527,"^;","~u686c5fe9-08f6-42e7-b8ed-d6d9ff4cda58",536870919]],["^15",[528,"^M",true,536870919]],["^15",[528,"^Q","**List of currently DOING tasks**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/848575612385624074)\ndate:: [[2021-05-30]]\ncollapsed:: true\n:LOGBOOK:\nCLOCK: [2022-01-08 Sat 19:22:04]\nCLOCK: [2022-01-08 Sat 19:22:07]\nCLOCK: [2022-01-08 Sat 19:22:13]\nCLOCK: [2022-01-08 Sat 19:22:14]\nCLOCK: [2022-01-08 Sat 19:22:24]\nCLOCK: [2022-01-08 Sat 19:22:26]\nCLOCK: [2022-01-08 Sat 19:22:28]\nCLOCK: [2022-01-08 Sat 19:22:31]\nCLOCK: [2022-01-08 Sat 19:22:32]\nCLOCK: [2022-01-08 Sat 19:22:42]\n:END:",536870919]],["^15",[528,"^O","^16",536870919]],["^15",[528,"^F",534,536870919]],["^15",[528,"^X",483,536870919]],["^15",[528,"^V",577,536870919]],["^15",[528,"^U",481,536870919]],["^15",[528,"^U",483,536870919]],["^15",[528,"^U",498,536870919]],["^15",[528,"^U",502,536870919]],["^15",[528,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/848575612385624074)","^1H",["^1:",["2021-05-30"]]],536870919]],["^15",[528,"^J",["^1G","^1H"],536870919]],["^15",[528,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/848575612385624074)","^1H","[[2021-05-30]]"],536870919]],["^15",[528,"^H",481,536870919]],["^15",[528,"^H",498,536870919]],["^15",[528,"^H",502,536870919]],["^15",[528,"^;","~u686c5fe9-6772-4421-9384-0b375d248da7",536870919]],["^15",[529,"^Q","#+BEGIN_QUERY\n{:query[:find (pull ?p [*]) \n  :where\n  [?b :block/page ?p]\n  [?p :block/properties ?props]\n  [(get ?props :status) ?status]\n  [(= ?status #{\"Active\"})]]}\n#+END_QUERY",536870919]],["^15",[529,"^O","^16",536870919]],["^15",[529,"^F",598,536870919]],["^15",[529,"^X",483,536870919]],["^15",[529,"^V",598,536870919]],["^15",[529,"^U",483,536870919]],["^15",[529,"^U",498,536870919]],["^15",[529,"^U",502,536870919]],["^15",[529,"^U",503,536870919]],["^15",[529,"^U",504,536870919]],["^15",[529,"^;","~u686c5fe9-1e50-4c8c-bfc2-0c0c9bf64d1a",536870919]],["^15",[530,"^Q","This page is a collection of some of the Advanced queries from the [[Datalog]] channel on the [[Logseq/Discord]] server. #datalog\nid:: 61db13f4-75e8-4f87-ad60-3ac3479c5fc8",536870919]],["^15",[530,"^O","^16",536870919]],["^15",[530,"^F",483,536870919]],["^15",[530,"^X",483,536870919]],["^15",[530,"^V",483,536870919]],["^15",[530,"^U",474,536870919]],["^15",[530,"^U",482,536870919]],["^15",[530,"^U",483,536870919]],["^15",[530,"^U",497,536870919]],["^15",[530,"^?",["^ ","^1D","61db13f4-75e8-4f87-ad60-3ac3479c5fc8"],536870919]],["^15",[530,"^J",["^1D"],536870919]],["^15",[530,"^4",["^ ","^1D","61db13f4-75e8-4f87-ad60-3ac3479c5fc8"],536870919]],["^15",[530,"^H",474,536870919]],["^15",[530,"^H",482,536870919]],["^15",[530,"^H",497,536870919]],["^15",[530,"^;","~u61db13f4-75e8-4f87-ad60-3ac3479c5fc8",536870919]],["^15",[531,"^M",true,536870919]],["^15",[531,"^Q","**Query for TODO and LATER but excluding SCHEDULED tasks**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/888689090160103476)\ndate:: [[2021-09-18]]\ncollapsed:: true",536870919]],["^15",[531,"^O","^16",536870919]],["^15",[531,"^F",549,536870919]],["^15",[531,"^X",483,536870919]],["^15",[531,"^V",577,536870919]],["^15",[531,"^U",483,536870919]],["^15",[531,"^U",491,536870919]],["^15",[531,"^U",498,536870919]],["^15",[531,"^U",502,536870919]],["^15",[531,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/888689090160103476)","^1H",["^1:",["2021-09-18"]]],536870919]],["^15",[531,"^J",["^1G","^1H"],536870919]],["^15",[531,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/888689090160103476)","^1H","[[2021-09-18]]"],536870919]],["^15",[531,"^H",491,536870919]],["^15",[531,"^H",498,536870919]],["^15",[531,"^H",502,536870919]],["^15",[531,"^;","~u686c5fe9-ff4b-491f-8266-f0cdfcbe2ab6",536870919]],["^15",[532,"^Q","[link: How to Graph Your Data - talk by Paula Gearon](https://youtu.be/tbVwmFBnfo4)",536870919]],["^15",[532,"^O","^16",536870919]],["^15",[532,"^F",606,536870919]],["^15",[532,"^X",483,536870919]],["^15",[532,"^V",589,536870919]],["^15",[532,"^U",483,536870919]],["^15",[532,"^;","~u686c5fe9-5707-47ae-9313-6b42303933bc",536870919]],["^15",[533,"^M",true,536870919]],["^15",[533,"^Q","**Querying TODOs from hierarchy pages**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/880431776500179004)\ndate:: [[2021-08-06]]\ncollapsed:: true",536870919]],["^15",[533,"^O","^16",536870919]],["^15",[533,"^F",573,536870919]],["^15",[533,"^X",483,536870919]],["^15",[533,"^V",577,536870919]],["^15",[533,"^U",483,536870919]],["^15",[533,"^U",496,536870919]],["^15",[533,"^U",498,536870919]],["^15",[533,"^U",502,536870919]],["^15",[533,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/880431776500179004)","^1H",["^1:",["2021-08-06"]]],536870919]],["^15",[533,"^J",["^1G","^1H"],536870919]],["^15",[533,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/880431776500179004)","^1H","[[2021-08-06]]"],536870919]],["^15",[533,"^H",496,536870919]],["^15",[533,"^H",498,536870919]],["^15",[533,"^H",502,536870919]],["^15",[533,"^;","~u686c5fe9-6466-4f1b-926e-48183bb0cd78",536870919]],["^15",[534,"^M",true,536870919]],["^15",[534,"^Q","**Find all unlinked pages**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/832512082289229824)\ndate:: [[2021-04-16]]\ncollapsed:: true",536870919]],["^15",[534,"^O","^16",536870919]],["^15",[534,"^F",572,536870919]],["^15",[534,"^X",483,536870919]],["^15",[534,"^V",577,536870919]],["^15",[534,"^U",483,536870919]],["^15",[534,"^U",498,536870919]],["^15",[534,"^U",500,536870919]],["^15",[534,"^U",502,536870919]],["^15",[534,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/832512082289229824)","^1H",["^1:",["2021-04-16"]]],536870919]],["^15",[534,"^J",["^1G","^1H"],536870919]],["^15",[534,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/832512082289229824)","^1H","[[2021-04-16]]"],536870919]],["^15",[534,"^H",498,536870919]],["^15",[534,"^H",500,536870919]],["^15",[534,"^H",502,536870919]],["^15",[534,"^;","~u686c5fe9-de95-44a6-979a-89a647e7eb35",536870919]],["^15",[535,"^Q","#+BEGIN_QUERY\n{:title [:h2.font-bold.opacity-70 \"TODO\"]\n    :query [\n            :find (pull ?h [*])\n            :where\n                [?h :block/marker ?marker]\n                [(= ?marker \"TODO\")]\n            ]\n    :result-transform (fn [result]\n                        (sort-by (fn [h]\n                                   (get h :block/priority \"Z\")) result))\n    :collapsed? true}\n#+END_QUERY",536870919]],["^15",[535,"^O","^16",536870919]],["^15",[535,"^F",604,536870919]],["^15",[535,"^X",483,536870919]],["^15",[535,"^V",604,536870919]],["^15",[535,"^U",479,536870919]],["^15",[535,"^U",483,536870919]],["^15",[535,"^U",498,536870919]],["^15",[535,"^U",502,536870919]],["^15",[535,"^;","~u686c5fe9-08b9-49cd-9fa6-f900d1aff7fb",536870919]],["^15",[536,"^Q","#+BEGIN_QUERY \n{:title \"Broken References\"\n :query [:find (pull ?b [*])\n         :in $ ?matcher\n         :where\n         [(re-pattern ?matcher) ?regex]\n         [?b :block/content ?c]\n         [(re-find ?regex ?c)]\n         [(missing? $ ?b :block/refs)]]\n :inputs [ \"\\\\([0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}\\\\)\"]\n }\n#+END_QUERY",536870919]],["^15",[536,"^O","^16",536870919]],["^15",[536,"^F",520,536870919]],["^15",[536,"^X",483,536870919]],["^15",[536,"^V",520,536870919]],["^15",[536,"^U",483,536870919]],["^15",[536,"^U",495,536870919]],["^15",[536,"^U",498,536870919]],["^15",[536,"^U",502,536870919]],["^15",[536,"^;","~u686c5fe9-b8d2-4c22-9a74-41c52b706762",536870919]],["^15",[537,"^M",true,536870919]],["^15",[537,"^Q","**Query all tasks excluding those on a page [[Journal reviews]]**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/892166421029728256), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/892189369622990949)\ndate:: [[2021-09-27]]\ncollapsed:: true",536870919]],["^15",[537,"^O","^16",536870919]],["^15",[537,"^F",598,536870919]],["^15",[537,"^X",483,536870919]],["^15",[537,"^V",577,536870919]],["^15",[537,"^U",480,536870919]],["^15",[537,"^U",483,536870919]],["^15",[537,"^U",498,536870919]],["^15",[537,"^U",502,536870919]],["^15",[537,"^U",504,536870919]],["^15",[537,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/892166421029728256), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/892189369622990949)","^1H",["^1:",["2021-09-27"]]],536870919]],["^15",[537,"^J",["^1G","^1H"],536870919]],["^15",[537,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/892166421029728256), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/892189369622990949)","^1H","[[2021-09-27]]"],536870919]],["^15",[537,"^H",480,536870919]],["^15",[537,"^H",498,536870919]],["^15",[537,"^H",502,536870919]],["^15",[537,"^H",504,536870919]],["^15",[537,"^;","~u686c5fe9-ecc2-4a29-91ba-0ebd54f2e6f4",536870919]],["^15",[538,"^Q","{{embed ((686c3af1-5149-453c-94b2-94028372c22b))}}",536870919]],["^15",[538,"^O","^16",536870919]],["^15",[538,"^F",578,536870919]],["^15",[538,"^S",620,536870919]],["^15",[538,"^X",483,536870919]],["^15",[538,"^V",578,536870919]],["^15",[538,"^U",483,536870919]],["^15",[538,"^U",488,536870919]],["^15",[538,"^H",488,536870919]],["^15",[538,"^H",546,536870919]],["^15",[538,"^;","~u686c5fe9-b0ac-4ddc-be06-92366ad173fa",536870919]],["^15",[539,"^Q","{{query (and (between -0d ++0d) (task TODO))}}",536870919]],["^15",[539,"^O","^16",536870919]],["^15",[539,"^F",611,536870919]],["^15",[539,"^S",621,536870919]],["^15",[539,"^X",483,536870919]],["^15",[539,"^V",611,536870919]],["^15",[539,"^U",483,536870919]],["^15",[539,"^U",498,536870919]],["^15",[539,"^U",501,536870919]],["^15",[539,"^U",502,536870919]],["^15",[539,"^;","~u686c5fe9-ad3a-4361-b885-01e2f5d21a5f",536870919]],["^15",[540,"^M",true,536870919]],["^15",[540,"^Q","**Query to show random block**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/867362494871765002)\ndate:: [[2021-07-21]]\ncollapsed:: true",536870919]],["^15",[540,"^O","^16",536870919]],["^15",[540,"^F",528,536870919]],["^15",[540,"^X",483,536870919]],["^15",[540,"^V",577,536870919]],["^15",[540,"^U",475,536870919]],["^15",[540,"^U",483,536870919]],["^15",[540,"^U",498,536870919]],["^15",[540,"^U",502,536870919]],["^15",[540,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/867362494871765002)","^1H",["^1:",["2021-07-21"]]],536870919]],["^15",[540,"^J",["^1G","^1H"],536870919]],["^15",[540,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/867362494871765002)","^1H","[[2021-07-21]]"],536870919]],["^15",[540,"^H",475,536870919]],["^15",[540,"^H",498,536870919]],["^15",[540,"^H",502,536870919]],["^15",[540,"^;","~u686c5fe9-cf4a-41b1-9c96-dd246a11c45c",536870919]],["^15",[541,"^Q","#+BEGIN_QUERY\n{:title \"Siloed search\"\n :query [:find (pull ?b [*])\n         :in $ ?keyword [?title ...]\n         :where\n         [(str \"(?i)\" ?keyword) ?matcher]\n         [(re-pattern ?matcher) ?regex]\n         [?p :block/original-name ?title]\n         [?b :block/page ?p]\n         [?b :block/content ?c]\n         [(re-find ?regex ?c)]]\n :inputs [\"tasks\" [\"Advanced queries\" \"Advanced queries/Examples\"]]\n }\n#+END_QUERY",536870919]],["^15",[541,"^O","^16",536870919]],["^15",[541,"^F",614,536870919]],["^15",[541,"^X",483,536870919]],["^15",[541,"^V",581,536870919]],["^15",[541,"^U",483,536870919]],["^15",[541,"^U",498,536870919]],["^15",[541,"^U",502,536870919]],["^15",[541,"^U",507,536870919]],["^15",[541,"^;","~u686c5fe9-5b97-4000-b4bb-863a2ae997e0",536870919]],["^15",[542,"^Q","#+BEGIN_QUERY\n{:title \"Give me a random block!!!\"\n :query [:find (pull ?b [*])\n         :where\n         [?b :block/content ?content]\n         (not [(empty? ?content)])]\n :result-transform (fn [result]\n                     [(rand-nth result)])\n :collapsed? true}\n#+END_QUERY",536870919]],["^15",[542,"^O","^16",536870919]],["^15",[542,"^F",540,536870919]],["^15",[542,"^X",483,536870919]],["^15",[542,"^V",540,536870919]],["^15",[542,"^U",475,536870919]],["^15",[542,"^U",483,536870919]],["^15",[542,"^U",498,536870919]],["^15",[542,"^U",502,536870919]],["^15",[542,"^;","~u686c5fe9-fcb6-44ef-81f3-9d02843e0c43",536870919]],["^15",[543,"^M",true,536870919]],["^15",[543,"^Q","**Query to create a table with page and todo count**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/921337299164356658)\ndate:: [[2021-12-17]]\ncollapsed:: true",536870919]],["^15",[543,"^O","^16",536870919]],["^15",[543,"^F",553,536870919]],["^15",[543,"^X",483,536870919]],["^15",[543,"^V",577,536870919]],["^15",[543,"^U",483,536870919]],["^15",[543,"^U",498,536870919]],["^15",[543,"^U",502,536870919]],["^15",[543,"^U",505,536870919]],["^15",[543,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/921337299164356658)","^1H",["^1:",["2021-12-17"]]],536870919]],["^15",[543,"^J",["^1G","^1H"],536870919]],["^15",[543,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/921337299164356658)","^1H","[[2021-12-17]]"],536870919]],["^15",[543,"^H",498,536870919]],["^15",[543,"^H",502,536870919]],["^15",[543,"^H",505,536870919]],["^15",[543,"^;","~u686c5fe9-bd5d-4f64-b416-b84d68b75ba1",536870919]],["^15",[544,"^Q","DONE find this block",536870919]],["^15",[544,"^O","^16",536870919]],["^15",[544,"^F",522,536870919]],["^15",[544,"^10","DONE",536870919]],["^15",[544,"^X",483,536870919]],["^15",[544,"^V",522,536870919]],["^15",[544,"^U",7,536870919]],["^15",[544,"^U",476,536870919]],["^15",[544,"^U",483,536870919]],["^15",[544,"^U",498,536870919]],["^15",[544,"^U",502,536870919]],["^15",[544,"^H",7,536870919]],["^15",[544,"^;","~u686c5fe9-bb3b-41b7-892f-2fa90f8bcfa5",536870919]],["^15",[545,"^Q","#+BEGIN_QUERY\n{\n    :query [\n        :find (pull ?b [*]) \n        :in $ ?current-page\n        :where \n            [?p :block/name ?current-page]\n            [?b :block/page ?p]\n            [?b :block/path-refs [:block/name \"datalog\"]]\n    ]\n    :inputs [:current-page]}\n}\n#+END_QUERY",536870919]],["^15",[545,"^O","^16",536870919]],["^15",[545,"^F",526,536870919]],["^15",[545,"^X",483,536870919]],["^15",[545,"^V",526,536870919]],["^15",[545,"^U",483,536870919]],["^15",[545,"^U",498,536870919]],["^15",[545,"^U",502,536870919]],["^15",[545,"^U",506,536870919]],["^15",[545,"^;","~u686c5fe9-2b0c-4696-88ee-64511e168616",536870919]],["^15",[546,"^M",true,536870919]],["^15",[546,"^Q","**List all the pages updated in the last 3 days**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/884486589827395724),  [Discord](https://discord.com/channels/725182569297215569/743139225746145311/885529176730398821)\ndate:: [[2021-09-06]], [[2021-09-09]]\nid:: 686c3af1-5149-453c-94b2-94028372c22b\ncollapsed:: true",536870919]],["^15",[546,"^O","^16",536870919]],["^15",[546,"^F",533,536870919]],["^15",[546,"^X",483,536870919]],["^15",[546,"^V",577,536870919]],["^15",[546,"^U",483,536870919]],["^15",[546,"^U",490,536870919]],["^15",[546,"^U",498,536870919]],["^15",[546,"^U",502,536870919]],["^15",[546,"^U",508,536870919]],["^15",[546,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/884486589827395724),  [Discord](https://discord.com/channels/725182569297215569/743139225746145311/885529176730398821)","^1H",["^1:",["2021-09-06","2021-09-09"]],"^1D","686c3af1-5149-453c-94b2-94028372c22b"],536870919]],["^15",[546,"^J",["^1G","^1H","^1D"],536870919]],["^15",[546,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/884486589827395724),  [Discord](https://discord.com/channels/725182569297215569/743139225746145311/885529176730398821)","^1H","[[2021-09-06]], [[2021-09-09]]","^1D","686c3af1-5149-453c-94b2-94028372c22b"],536870919]],["^15",[546,"^H",490,536870919]],["^15",[546,"^H",498,536870919]],["^15",[546,"^H",502,536870919]],["^15",[546,"^H",508,536870919]],["^15",[546,"^;","~u686c3af1-5149-453c-94b2-94028372c22b",536870919]],["^15",[547,"^M",true,536870919]],["^15",[547,"^Q","**Query for a task having a given block property**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/889013656409505802)\ndate:: [[2021-09-19]]\ncollapsed:: true",536870919]],["^15",[547,"^O","^16",536870919]],["^15",[547,"^F",531,536870919]],["^15",[547,"^X",483,536870919]],["^15",[547,"^V",577,536870919]],["^15",[547,"^U",483,536870919]],["^15",[547,"^U",484,536870919]],["^15",[547,"^U",498,536870919]],["^15",[547,"^U",502,536870919]],["^15",[547,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/889013656409505802)","^1H",["^1:",["2021-09-19"]]],536870919]],["^15",[547,"^J",["^1G","^1H"],536870919]],["^15",[547,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/889013656409505802)","^1H","[[2021-09-19]]"],536870919]],["^15",[547,"^H",484,536870919]],["^15",[547,"^H",498,536870919]],["^15",[547,"^H",502,536870919]],["^15",[547,"^;","~u686c5fe9-1307-4261-9bb4-62fdff42326b",536870919]],["^15",[548,"^M",true,536870919]],["^15",[548,"^Q","collapsed:: true\n#+BEGIN_QUERY\n{:title \"🔮 Future Tasks\"\n :query [:find (pull ?block [*])\n         :in $ ?start ?next\n         :where\n         [?block :block/marker ?marker]\n         [(contains? #{\"NOW\" \"LATER\" \"TODO\" \"DOING\" \"WAITING\"} ?marker)]\n         (or\n           [?block :block/scheduled ?d]\n           [?block :block/deadline ?d])\n         [(>= ?d ?start)]\n         [(<= ?d ?next)]]\n :inputs [:today :365d-after]\n :breadcrumb-show? false\n :result-transform (fn [result]\n                     (sort-by (fn [b]\n                               (or (get b :block/scheduled) (get b :block/deadline))) result))\n :collapsed? true\n}\n#+END_QUERY",536870919]],["^15",[548,"^O","^16",536870919]],["^15",[548,"^F",608,536870919]],["^15",[548,"^X",483,536870919]],["^15",[548,"^V",608,536870919]],["^15",[548,"^U",13,536870919]],["^15",[548,"^U",483,536870919]],["^15",[548,"^U",498,536870919]],["^15",[548,"^U",502,536870919]],["^15",[548,"^U",509,536870919]],["^15",[548,"^?",["^ "],536870919]],["^15",[548,"^J",[],536870919]],["^15",[548,"^4",["^ "],536870919]],["^15",[548,"^;","~u686c5fe9-b105-409c-b4bf-76083f2ba565",536870919]],["^15",[549,"^Q","",536870919]],["^15",[549,"^O","^16",536870919]],["^15",[549,"^F",546,536870919]],["^15",[549,"^X",483,536870919]],["^15",[549,"^V",577,536870919]],["^15",[549,"^U",483,536870919]],["^15",[549,"^;","~u686c5fe9-ad3a-4f2e-83fa-2c246758dd41",536870919]],["^15",[550,"^Q","#+BEGIN_QUERY \n{:title \"Backlog\"\n:query [:find (pull ?todo [*]) :in $ ?current-page\n:where\n[?p :block/name ?current-page]\n[?todo :block/marker ?marker]\n(not [?todo :block/page ?p])\n(not [_ :block/refs ?todo])\n[(contains? #{\"TODO\" \"DOING\"} ?marker)]\n]\n:inputs [:current-page]\n :breadcrumb-show? false\n :result-transform (fn [result]\n                        (sort-by (fn [h]\n                                   (get h :block/priority \"Z\")) result))\n :collapsed? true}\n#+END_QUERY",536870919]],["^15",[550,"^O","^16",536870919]],["^15",[550,"^F",602,536870919]],["^15",[550,"^X",483,536870919]],["^15",[550,"^V",602,536870919]],["^15",[550,"^U",483,536870919]],["^15",[550,"^U",498,536870919]],["^15",[550,"^U",502,536870919]],["^15",[550,"^U",507,536870919]],["^15",[550,"^;","~u686c5fe9-9a9b-459e-a7e7-d84269d731fd",536870919]],["^15",[551,"^Q","[link: Logseq docs - Advanced queries](https://docs.logseq.com/#/page/advanced%20queries)",536870919]],["^15",[551,"^O","^16",536870919]],["^15",[551,"^F",605,536870919]],["^15",[551,"^X",483,536870919]],["^15",[551,"^V",589,536870919]],["^15",[551,"^U",483,536870919]],["^15",[551,"^;","~u686c5fe9-6216-4ca4-87c4-6c1465c70f31",536870919]],["^15",[552,"^Q","#+BEGIN_QUERY\n{:title \"📅 TESTING\"\n      :query [:find (pull ?b [*])\n              :where\n              [?b :block/marker ?marker]\n              [(missing? $ ?b :block/scheduled)]\n              [(missing? $ ?b :block/deadline)]\n              [(contains? #{\"LATER\" \"TODO\"} ?marker)]\n              [?b :block/page ?page]\n              [?page :block/original-name ?name]\n              (not[(= ?name \"Journal reviews\")])]\n }\n#+END_QUERY",536870919]],["^15",[552,"^O","^16",536870919]],["^15",[552,"^F",537,536870919]],["^15",[552,"^X",483,536870919]],["^15",[552,"^V",537,536870919]],["^15",[552,"^U",480,536870919]],["^15",[552,"^U",483,536870919]],["^15",[552,"^U",498,536870919]],["^15",[552,"^U",502,536870919]],["^15",[552,"^U",504,536870919]],["^15",[552,"^;","~u686c5fe9-e903-4043-803b-18e202ed59ad",536870919]],["^15",[553,"^M",true,536870919]],["^15",[553,"^Q","**Query all pages that have been created in the last 2 days**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/920559641514082374)\ndate:: [[2021-12-15]]\ncollapsed:: true",536870919]],["^15",[553,"^O","^16",536870919]],["^15",[553,"^F",612,536870919]],["^15",[553,"^X",483,536870919]],["^15",[553,"^V",577,536870919]],["^15",[553,"^U",478,536870919]],["^15",[553,"^U",483,536870919]],["^15",[553,"^U",498,536870919]],["^15",[553,"^U",502,536870919]],["^15",[553,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/920559641514082374)","^1H",["^1:",["2021-12-15"]]],536870919]],["^15",[553,"^J",["^1G","^1H"],536870919]],["^15",[553,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/920559641514082374)","^1H","[[2021-12-15]]"],536870919]],["^15",[553,"^H",478,536870919]],["^15",[553,"^H",498,536870919]],["^15",[553,"^H",502,536870919]],["^15",[553,"^;","~u686c5fe9-3c08-4a67-b7c7-117cbaa23299",536870919]],["^15",[554,"^Q","**List all the pages updated in the last 3 days**",536870919]],["^15",[554,"^O","^16",536870919]],["^15",[554,"^F",603,536870919]],["^15",[554,"^X",483,536870919]],["^15",[554,"^V",603,536870919]],["^15",[554,"^U",483,536870919]],["^15",[554,"^;","~u686c5fe9-9a0f-44cc-9eb9-2166fc81cc48",536870919]],["^15",[555,"^Q","#+BEGIN_QUERY\n{:title \"Give me a random page!!!\"\n :query [:find ?name\n         :where\n         [?b :block/name ?name]]\n :result-transform (fn [result]\n                     [(rand-nth result)])\n:view (fn [result]\n       [:div.flex.flex-col\n        (for [page result]\n          [:a {:href (str \"/#/page/\" page)} (clojure.string/capitalize page)])])\n :collapsed? true}\n#+END_QUERY",536870919]],["^15",[555,"^O","^16",536870919]],["^15",[555,"^F",566,536870919]],["^15",[555,"^X",483,536870919]],["^15",[555,"^V",566,536870919]],["^15",[555,"^U",475,536870919]],["^15",[555,"^U",483,536870919]],["^15",[555,"^U",498,536870919]],["^15",[555,"^U",502,536870919]],["^15",[555,"^;","~u686c5fe9-7912-442e-a3dc-e00166bf6c97",536870919]],["^15",[556,"^Q","[link: Domain modelling with datalog - talk by Norbert Wojtowicz](https://youtu.be/oo-7mN9WXTw)",536870919]],["^15",[556,"^O","^16",536870919]],["^15",[556,"^F",532,536870919]],["^15",[556,"^X",483,536870919]],["^15",[556,"^V",589,536870919]],["^15",[556,"^U",483,536870919]],["^15",[556,"^;","~u686c5fe9-3677-47a1-8ddd-79269d047a6b",536870919]],["^15",[557,"^Q","[link: Hiccup syntax](https://github.com/weavejester/hiccup/wiki/Syntax)",536870919]],["^15",[557,"^O","^16",536870919]],["^15",[557,"^F",582,536870919]],["^15",[557,"^X",483,536870919]],["^15",[557,"^V",589,536870919]],["^15",[557,"^U",483,536870919]],["^15",[557,"^;","~u686c5fe9-508a-464a-b255-a89ff28dd060",536870919]],["^15",[558,"^Q","query-properties:: [:page :created-at]\n#+BEGIN_QUERY\n{:title \"Pages in last 2 days\"\n:query [:find (pull ?p [*])\n            :in $ ?today\n            :where \n            [?p :block/created-at ?d]\n            [(- ?today 172800000) ?start]\n            [(>= ?d ?start)]\n            [(<= ?d ?today)]\n    ]\n:inputs [:right-now-ms]}\n#+END_QUERY",536870919]],["^15",[558,"^O","^16",536870919]],["^15",[558,"^F",553,536870919]],["^15",[558,"^X",483,536870919]],["^15",[558,"^V",553,536870919]],["^15",[558,"^U",478,536870919]],["^15",[558,"^U",483,536870919]],["^15",[558,"^U",498,536870919]],["^15",[558,"^U",502,536870919]],["^15",[558,"^?",["^ ","^1I","[:page :created-at]"],536870919]],["^15",[558,"^J",["^1I"],536870919]],["^15",[558,"^4",["^ ","^1I","[:page :created-at]"],536870919]],["^15",[558,"^;","~u686c5fe9-80ec-451b-8400-e39dc9a154ea",536870919]],["^15",[559,"^M",true,536870919]],["^15",[559,"^Q","query-table:: false\ncollapsed:: true\n#+BEGIN_QUERY\n{:title \"🟢 DOING\"\n    :query [:find (pull ?b [*])\n        :where\n          [?b :block/marker ?marker]\n          [(contains? #{\"NOW\" \"DOING\"} ?marker)]]\n:breadcrumb-show? false\n :result-transform (fn [result]\n \t\t(sort-by (fn [h]\n     \t(get h :block/priority \"Z\"))\n       result))\n    :collapsed? true}\n#+END_QUERY",536870919]],["^15",[559,"^O","^16",536870919]],["^15",[559,"^F",528,536870919]],["^15",[559,"^X",483,536870919]],["^15",[559,"^V",528,536870919]],["^15",[559,"^U",481,536870919]],["^15",[559,"^U",483,536870919]],["^15",[559,"^U",498,536870919]],["^15",[559,"^U",502,536870919]],["^15",[559,"^?",["^ ","^1>",false],536870919]],["^15",[559,"^J",["^1>"],536870919]],["^15",[559,"^4",["^ ","^1>","false"],536870919]],["^15",[559,"^;","~u686c5fe9-183f-4789-ab35-851a7443ddfb",536870919]],["^15",[560,"^M",true,536870919]],["^15",[560,"^Q","**Search by block uuid**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868359519678398504)\ndate:: [[2021-07-24]]\ncollapsed:: true",536870919]],["^15",[560,"^O","^16",536870919]],["^15",[560,"^F",566,536870919]],["^15",[560,"^X",483,536870919]],["^15",[560,"^V",577,536870919]],["^15",[560,"^U",483,536870919]],["^15",[560,"^U",498,536870919]],["^15",[560,"^U",502,536870919]],["^15",[560,"^U",507,536870919]],["^15",[560,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/868359519678398504)","^1H",["^1:",["2021-07-24"]]],536870919]],["^15",[560,"^J",["^1G","^1H"],536870919]],["^15",[560,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/868359519678398504)","^1H","[[2021-07-24]]"],536870919]],["^15",[560,"^H",498,536870919]],["^15",[560,"^H",502,536870919]],["^15",[560,"^H",507,536870919]],["^15",[560,"^;","~u686c5fe9-a2f5-4875-997d-6b9c2649a746",536870919]],["^15",[561,"^Q","d is used to indicate a day. 0d means 0 days or today. \nThink of it this way:\nBetween  -0d and ++0d",536870919]],["^15",[561,"^O","^16",536870919]],["^15",[561,"^F",539,536870919]],["^15",[561,"^X",483,536870919]],["^15",[561,"^V",611,536870919]],["^15",[561,"^U",483,536870919]],["^15",[561,"^U",498,536870919]],["^15",[561,"^U",501,536870919]],["^15",[561,"^U",502,536870919]],["^15",[561,"^;","~u686c5fe9-4bb0-4872-90c6-7944adf88ae5",536870919]],["^15",[562,"^Q","How would you query for all TODO blocks that are tagged or recursively related to ancestor block/page that is tagged with a specific tag? For example, I want all TODO tasks that are tagged as clojure or contained under blocks or pages (in any indentation depth) that are tagged clojure. That way I can see all the clojure related articles I haven't read yet, without having to tag them all explicitly.\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/825074937651396678)",536870919]],["^15",[562,"^O","^16",536870919]],["^15",[562,"^F",609,536870919]],["^15",[562,"^X",483,536870919]],["^15",[562,"^V",609,536870919]],["^15",[562,"^U",483,536870919]],["^15",[562,"^U",487,536870919]],["^15",[562,"^U",498,536870919]],["^15",[562,"^U",502,536870919]],["^15",[562,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/825074937651396678)"],536870919]],["^15",[562,"^J",["^1G"],536870919]],["^15",[562,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/825074937651396678)"],536870919]],["^15",[562,"^H",498,536870919]],["^15",[562,"^;","~u686c5fe9-a28b-4718-9a42-465535788bb2",536870919]],["^15",[563,"^Q","query-sort-by:: page\nquery-table:: true\nquery-sort-desc:: false\nquery-properties:: [:page :block]\n#+BEGIN_QUERY\n{:title [:h3 \"Updated in last 3 days\"]\n :query [:find (pull ?page [*])\n:in $ ?end\n:where\n[?b :block/updated-at ?v]\n[(- ?end 259200000 ) ?period]\n[(>= ?v ?period)]\n[(< ?v ?end)]\n[?page :block/page ?b]\n]\n; :inputs [:start-of-today-ms]\n; :inputs [:right-now-ms]\n:inputs [:end-of-today-ms]\n}\n#+END_QUERY",536870919]],["^15",[563,"^O","^16",536870919]],["^15",[563,"^F",578,536870919]],["^15",[563,"^X",483,536870919]],["^15",[563,"^V",554,536870919]],["^15",[563,"^U",483,536870919]],["^15",[563,"^?",["^ ","^1?","page","^1>",true,"^1@",false,"^1I","[:page :block]"],536870919]],["^15",[563,"^J",["^1?","^1>","^1@","^1I"],536870919]],["^15",[563,"^4",["^ ","^1?","page","^1>","true","^1@","false","^1I","[:page :block]"],536870919]],["^15",[563,"^;","~u686c5fe9-d65e-4a82-95b3-e83a2d3c38cb",536870919]],["^15",[564,"^Q","[link: Learn datalog today](http://www.learndatalogtoday.org)",536870919]],["^15",[564,"^O","^16",536870919]],["^15",[564,"^F",600,536870919]],["^15",[564,"^X",483,536870919]],["^15",[564,"^V",589,536870919]],["^15",[564,"^U",483,536870919]],["^15",[564,"^;","~u686c5fe9-b8bb-49ac-94a8-f5eaf1d23b84",536870919]],["^15",[565,"^Q","Hey, I try to find Schedules or Due dates that are in-between specific dates, but whenever they contain a marker (TODO, NOW, ...) they should only show if that marker is not completed. Unfortunately, I'm not familiar with Datomic or Clojure at all..\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/826412758438248458)",536870919]],["^15",[565,"^O","^16",536870919]],["^15",[565,"^F",572,536870919]],["^15",[565,"^X",483,536870919]],["^15",[565,"^V",572,536870919]],["^15",[565,"^U",483,536870919]],["^15",[565,"^U",498,536870919]],["^15",[565,"^U",502,536870919]],["^15",[565,"^U",510,536870919]],["^15",[565,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/826412758438248458)"],536870919]],["^15",[565,"^J",["^1G"],536870919]],["^15",[565,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/826412758438248458)"],536870919]],["^15",[565,"^H",498,536870919]],["^15",[565,"^;","~u686c5fe9-78a3-41d4-90c3-b8b375b73cfc",536870919]],["^15",[566,"^M",true,536870919]],["^15",[566,"^Q","**Query to show a random page**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/867375290396311633)\ndate:: [[2021-07-21]]\ncollapsed:: true",536870919]],["^15",[566,"^O","^16",536870919]],["^15",[566,"^F",540,536870919]],["^15",[566,"^X",483,536870919]],["^15",[566,"^V",577,536870919]],["^15",[566,"^U",475,536870919]],["^15",[566,"^U",483,536870919]],["^15",[566,"^U",498,536870919]],["^15",[566,"^U",502,536870919]],["^15",[566,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/867375290396311633)","^1H",["^1:",["2021-07-21"]]],536870919]],["^15",[566,"^J",["^1G","^1H"],536870919]],["^15",[566,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/867375290396311633)","^1H","[[2021-07-21]]"],536870919]],["^15",[566,"^H",475,536870919]],["^15",[566,"^H",498,536870919]],["^15",[566,"^H",502,536870919]],["^15",[566,"^;","~u686c5fe9-e609-4028-9547-677220eeb66f",536870919]],["^15",[567,"^Q","query-table:: false\n#+BEGIN_QUERY\n{:title \"Orphan pages\"\n :query [:find ?name\n         :where\n         [?p :page/name ?name]\n         (not\n          [?b :block/ref-pages ?p1]\n          [?b :block/page ?p2]\n          (or [?p1 :page/name ?name]\n              [?p2 :page/name ?name]))]\n :view (fn [result]\n         [:div.flex.flex-col\n          (for [page result]\n            [:a {:href (str \"/page/\" page)} (clojure.string/capitalize page)])])\n:collapsed? true}\n#+END_QUERY",536870919]],["^15",[567,"^O","^16",536870919]],["^15",[567,"^F",534,536870919]],["^15",[567,"^X",483,536870919]],["^15",[567,"^V",534,536870919]],["^15",[567,"^U",483,536870919]],["^15",[567,"^U",498,536870919]],["^15",[567,"^U",500,536870919]],["^15",[567,"^U",502,536870919]],["^15",[567,"^?",["^ ","^1>",false],536870919]],["^15",[567,"^J",["^1>"],536870919]],["^15",[567,"^4",["^ ","^1>","false"],536870919]],["^15",[567,"^;","~u686c5fe9-602b-4f29-b2ad-b00cca942119",536870919]],["^15",[568,"^Q","#+BEGIN_QUERY\n  {:title \"Find: Follow-up Tasks\"\n  :query [:find (pull ?b [*])\n  :where\n     [?p :block/content \"Follow-up\"]\n     [?b :block/parent ?p]\n     [?b :block/marker ?marker]\n     [(contains? #{\"TODO\" \"DOING\" \"DONE\"} ?marker)]]\n}\n  #+END_QUERY",536870919]],["^15",[568,"^O","^16",536870919]],["^15",[568,"^F",544,536870919]],["^15",[568,"^X",483,536870919]],["^15",[568,"^V",522,536870919]],["^15",[568,"^U",476,536870919]],["^15",[568,"^U",483,536870919]],["^15",[568,"^U",498,536870919]],["^15",[568,"^U",502,536870919]],["^15",[568,"^;","~u686c5fe9-98f1-40cb-a896-c98ed3866063",536870919]],["^15",[569,"^Q","#+BEGIN_QUERY\n{:title \"All todos that with priority A\"\n :query [:find (pull ?b [*])\n       :where\n       [?b :block/priority \"A\"]]}\n#+END_QUERY",536870919]],["^15",[569,"^O","^16",536870919]],["^15",[569,"^F",588,536870919]],["^15",[569,"^X",483,536870919]],["^15",[569,"^V",588,536870919]],["^15",[569,"^U",483,536870919]],["^15",[569,"^U",486,536870919]],["^15",[569,"^U",498,536870919]],["^15",[569,"^U",502,536870919]],["^15",[569,"^;","~u686c5fe9-8d4b-4134-8cd2-62fef9cd2e9b",536870919]],["^15",[570,"^Q","#+BEGIN_QUERY\n{:query [:find (pull ?b [*])\n :where\n [?b :block/marker ?m]\n [(contains? #{\"TODO\" \"LATER\"} ?m)]\n [(missing? $ ?b :block/scheduled)]\n [(missing? $ ?b :block/deadline)] ] }\n#+END_QUERY",536870919]],["^15",[570,"^O","^16",536870919]],["^15",[570,"^F",531,536870919]],["^15",[570,"^X",483,536870919]],["^15",[570,"^V",531,536870919]],["^15",[570,"^U",483,536870919]],["^15",[570,"^U",491,536870919]],["^15",[570,"^U",498,536870919]],["^15",[570,"^U",502,536870919]],["^15",[570,"^;","~u686c5fe9-9f93-42dc-bcfc-74131986b963",536870919]],["^15",[571,"^M",true,536870919]],["^15",[571,"^Q","**Query snippet to grab the children blocks**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/901520859779461170)\ndate:: [[2021-10-23]]\ncollapsed:: true",536870919]],["^15",[571,"^O","^16",536870919]],["^15",[571,"^F",588,536870919]],["^15",[571,"^X",483,536870919]],["^15",[571,"^V",577,536870919]],["^15",[571,"^U",483,536870919]],["^15",[571,"^U",489,536870919]],["^15",[571,"^U",498,536870919]],["^15",[571,"^U",502,536870919]],["^15",[571,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/901520859779461170)","^1H",["^1:",["2021-10-23"]]],536870919]],["^15",[571,"^J",["^1G","^1H"],536870919]],["^15",[571,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/901520859779461170)","^1H","[[2021-10-23]]"],536870919]],["^15",[571,"^H",489,536870919]],["^15",[571,"^H",498,536870919]],["^15",[571,"^H",502,536870919]],["^15",[571,"^;","~u686c5fe9-d9fe-4d90-912b-9c8698862028",536870919]],["^15",[572,"^M",true,536870919]],["^15",[572,"^Q","**Scheduled items and deadlines from the past week**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/827098887826964490)\ndate:: [[2021-04-01]]\ncollapsed:: true",536870919]],["^15",[572,"^O","^16",536870919]],["^15",[572,"^F",609,536870919]],["^15",[572,"^X",483,536870919]],["^15",[572,"^V",577,536870919]],["^15",[572,"^U",483,536870919]],["^15",[572,"^U",498,536870919]],["^15",[572,"^U",502,536870919]],["^15",[572,"^U",510,536870919]],["^15",[572,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/827098887826964490)","^1H",["^1:",["2021-04-01"]]],536870919]],["^15",[572,"^J",["^1G","^1H"],536870919]],["^15",[572,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/827098887826964490)","^1H","[[2021-04-01]]"],536870919]],["^15",[572,"^H",498,536870919]],["^15",[572,"^H",502,536870919]],["^15",[572,"^H",510,536870919]],["^15",[572,"^;","~u686c5fe9-36dd-4971-b227-16c2de001a9a",536870919]],["^15",[573,"^M",true,536870919]],["^15",[573,"^Q","**Current NOW and DOING tasks for pages tagged with \"project\"**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/879621160860532766)\ndate:: [[2021-08-24]]\ncollapsed:: true",536870919]],["^15",[573,"^O","^16",536870919]],["^15",[573,"^F",520,536870919]],["^15",[573,"^X",483,536870919]],["^15",[573,"^V",577,536870919]],["^15",[573,"^U",483,536870919]],["^15",[573,"^U",493,536870919]],["^15",[573,"^U",498,536870919]],["^15",[573,"^U",502,536870919]],["^15",[573,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/879621160860532766)","^1H",["^1:",["2021-08-24"]]],536870919]],["^15",[573,"^J",["^1G","^1H"],536870919]],["^15",[573,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/879621160860532766)","^1H","[[2021-08-24]]"],536870919]],["^15",[573,"^H",493,536870919]],["^15",[573,"^H",498,536870919]],["^15",[573,"^H",502,536870919]],["^15",[573,"^;","~u686c5fe9-6b72-4cf6-96b8-488eb52e6cf1",536870919]],["^15",[574,"^Q","[link: Logseq datascript schema](https://gist.github.com/tiensonqin/9a40575827f8f63eec54432443ecb929)",536870919]],["^15",[574,"^O","^16",536870919]],["^15",[574,"^F",551,536870919]],["^15",[574,"^X",483,536870919]],["^15",[574,"^V",589,536870919]],["^15",[574,"^U",483,536870919]],["^15",[574,"^;","~u686c5fe9-5dee-49ae-bf5a-a83ef509b543",536870919]],["^15",[575,"^Q","DONE Check query with task and property.\ntype:: example",536870919]],["^15",[575,"^O","^16",536870919]],["^15",[575,"^F",580,536870919]],["^15",[575,"^10","DONE",536870919]],["^15",[575,"^X",483,536870919]],["^15",[575,"^V",547,536870919]],["^15",[575,"^U",7,536870919]],["^15",[575,"^U",483,536870919]],["^15",[575,"^U",484,536870919]],["^15",[575,"^U",498,536870919]],["^15",[575,"^U",499,536870919]],["^15",[575,"^U",502,536870919]],["^15",[575,"^?",["^ ","~:type","example"],536870919]],["^15",[575,"^J",["^1J"],536870919]],["^15",[575,"^4",["^ ","^1J","example"],536870919]],["^15",[575,"^H",7,536870919]],["^15",[575,"^H",499,536870919]],["^15",[575,"^;","~u686c5fe9-8725-47ca-9343-c377385f63f0",536870919]],["^15",[576,"^M",true,536870919]],["^15",[576,"^Q","**List all projects (type:: project) that do not have any TODOs on their pages**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/891274363062599702)\ndate:: [[2021-09-25]]\ncollapsed:: true",536870919]],["^15",[576,"^O","^16",536870919]],["^15",[576,"^F",547,536870919]],["^15",[576,"^X",483,536870919]],["^15",[576,"^V",577,536870919]],["^15",[576,"^U",483,536870919]],["^15",[576,"^U",492,536870919]],["^15",[576,"^U",498,536870919]],["^15",[576,"^U",502,536870919]],["^15",[576,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/891274363062599702)","^1H",["^1:",["2021-09-25"]]],536870919]],["^15",[576,"^J",["^1G","^1H"],536870919]],["^15",[576,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/891274363062599702)","^1H","[[2021-09-25]]"],536870919]],["^15",[576,"^H",492,536870919]],["^15",[576,"^H",498,536870919]],["^15",[576,"^H",502,536870919]],["^15",[576,"^;","~u686c5fe9-565a-4536-a35e-4bb71cc66603",536870919]],["^15",[577,"^Q","### Queries",536870919]],["^15",[577,"^O","^16",536870919]],["^15",[577,"^F",607,536870919]],["^15",[577,"^X",483,536870919]],["^15",[577,"^V",483,536870919]],["^15",[577,"^U",483,536870919]],["^15",[577,"^?",["^ ","^1;",3],536870919]],["^15",[577,"^J",[],536870919]],["^15",[577,"^;","~u686c5fe9-f86e-4574-9a76-730f8cab3e0b",536870919]],["^15",[578,"^Q","See also:",536870919]],["^15",[578,"^O","^16",536870919]],["^15",[578,"^F",554,536870919]],["^15",[578,"^X",483,536870919]],["^15",[578,"^V",554,536870919]],["^15",[578,"^U",483,536870919]],["^15",[578,"^;","~u686c5fe9-8327-44ad-b9ae-708f1cc26e7e",536870919]],["^15",[579,"^Q","**Query to create a table from \"birthday\" property of a page**\nid:: 61db1cf4-95f0-458b-97b9-a42f02c9ce12\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/924614606842904577)\ndate:: [[2021-12-26]]",536870919]],["^15",[579,"^O","^16",536870919]],["^15",[579,"^F",526,536870919]],["^15",[579,"^X",483,536870919]],["^15",[579,"^V",577,536870919]],["^15",[579,"^U",483,536870919]],["^15",[579,"^U",485,536870919]],["^15",[579,"^U",498,536870919]],["^15",[579,"^U",502,536870919]],["^15",[579,"^?",["^ ","^1D","61db1cf4-95f0-458b-97b9-a42f02c9ce12","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/924614606842904577)","^1H",["^1:",["2021-12-26"]]],536870919]],["^15",[579,"^J",["^1D","^1G","^1H"],536870919]],["^15",[579,"^4",["^ ","^1D","61db1cf4-95f0-458b-97b9-a42f02c9ce12","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/924614606842904577)","^1H","[[2021-12-26]]"],536870919]],["^15",[579,"^H",485,536870919]],["^15",[579,"^H",498,536870919]],["^15",[579,"^H",502,536870919]],["^15",[579,"^;","~u61db1cf4-95f0-458b-97b9-a42f02c9ce12",536870919]],["^15",[580,"^Q","#+BEGIN_QUERY\n{:title \"My TASKS (type: example)\"\n:query [:find (pull ?b [*])\n:where\n[?b :block/marker ?marker]\n[(contains? #{\"DONE\"} ?marker)]\n[?b :block/properties ?prop]\n[(get ?prop :type) ?type]\n[(= \"example\" ?type)]\n]\n:collapsed? false}\n#+END_QUERY",536870919]],["^15",[580,"^O","^16",536870919]],["^15",[580,"^F",547,536870919]],["^15",[580,"^X",483,536870919]],["^15",[580,"^V",547,536870919]],["^15",[580,"^U",483,536870919]],["^15",[580,"^U",484,536870919]],["^15",[580,"^U",498,536870919]],["^15",[580,"^U",502,536870919]],["^15",[580,"^;","~u686c5fe9-17dd-48f5-bc26-25052467c911",536870919]],["^15",[581,"^M",true,536870919]],["^15",[581,"^Q","**Search for a keyword within a specific set of pages**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868531920923918356), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868600535694082049)\ndate:: [[2021-07-24]]\ncollapsed:: true",536870919]],["^15",[581,"^O","^16",536870919]],["^15",[581,"^F",602,536870919]],["^15",[581,"^X",483,536870919]],["^15",[581,"^V",577,536870919]],["^15",[581,"^U",483,536870919]],["^15",[581,"^U",498,536870919]],["^15",[581,"^U",502,536870919]],["^15",[581,"^U",507,536870919]],["^15",[581,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/868531920923918356), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868600535694082049)","^1H",["^1:",["2021-07-24"]]],536870919]],["^15",[581,"^J",["^1G","^1H"],536870919]],["^15",[581,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/868531920923918356), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868600535694082049)","^1H","[[2021-07-24]]"],536870919]],["^15",[581,"^H",498,536870919]],["^15",[581,"^H",502,536870919]],["^15",[581,"^H",507,536870919]],["^15",[581,"^;","~u686c5fe9-f1e5-43dd-9bf2-1ad05cbe5e49",536870919]],["^15",[582,"^Q","[link: ClojureScript Cheatsheet](https://cljs.info/cheatsheet/)",536870919]],["^15",[582,"^O","^16",536870919]],["^15",[582,"^F",619,536870919]],["^15",[582,"^X",483,536870919]],["^15",[582,"^V",589,536870919]],["^15",[582,"^U",483,536870919]],["^15",[582,"^;","~u686c5fe9-223e-4f42-93cc-bfef1daf1011",536870919]],["^15",[583,"^Q","#+BEGIN_QUERY\n{:query[:find (pull ?p [*]) \n  :where\n  [?b :block/page ?p]\n  [?p :block/properties ?props]\n  [(get ?props :type) ?type]\n  [(= ?type \"project\")]\n  (not-join [?p]\n    [?b :block/page ?p]\n    [?b :block/marker _]) ]}\n#+END_QUERY",536870919]],["^15",[583,"^O","^16",536870919]],["^15",[583,"^F",576,536870919]],["^15",[583,"^X",483,536870919]],["^15",[583,"^V",576,536870919]],["^15",[583,"^U",483,536870919]],["^15",[583,"^U",492,536870919]],["^15",[583,"^U",498,536870919]],["^15",[583,"^U",502,536870919]],["^15",[583,"^;","~u686c5fe9-ff28-451f-be70-590793ec9e69",536870919]],["^15",[584,"^Q","The time entered in the Unix time stamp (see https://www.unixtimestamp.com) which is the number of milliseconds since Jan 1st 1970.\nquery-properties:: [:page :updated-at]",536870919]],["^15",[584,"^O","^16",536870919]],["^15",[584,"^F",546,536870919]],["^15",[584,"^X",483,536870919]],["^15",[584,"^V",546,536870919]],["^15",[584,"^U",483,536870919]],["^15",[584,"^U",490,536870919]],["^15",[584,"^U",498,536870919]],["^15",[584,"^U",502,536870919]],["^15",[584,"^U",508,536870919]],["^15",[584,"^?",["^ ","^1I","[:page :updated-at]"],536870919]],["^15",[584,"^J",["^1I"],536870919]],["^15",[584,"^4",["^ ","^1I","[:page :updated-at]"],536870919]],["^15",[584,"^;","~u686c5fe9-40e6-4a3b-aa09-7ef9dc049281",536870919]],["^15",[585,"^Q","query-table:: false\n#+BEGIN_QUERY \n{:title \"TODO by page\"\n  :query     [:find (pull ?b [:block/marker :block/parent {:block/page\n     [:db/id :block/name]}])\n  :where\n           [?b :block/marker ?marker]\n           [(= \"TODO\" ?marker)] \n  ]\n:result-transform (fn [result]\n                        (map (fn [[key value]] {:page (get key :block/name) :count (count value)}) (group-by :block/page result))\n                )\n:view (fn [rows] [:table \n [:thead \n  [:tr \n   [:th \"Page\"] \n   [:th \"Count\"] ] ] \n [:tbody \n(for [r rows] [:tr \n   [:td [:a {:href (str \"#/page/\" (get r :page))} (get r :page)] ] \n   [:td (get r :count)] ])\n   ]]\n)\n}\n#+END_QUERY",536870919]],["^15",[585,"^O","^16",536870919]],["^15",[585,"^F",543,536870919]],["^15",[585,"^X",483,536870919]],["^15",[585,"^V",543,536870919]],["^15",[585,"^U",483,536870919]],["^15",[585,"^U",498,536870919]],["^15",[585,"^U",502,536870919]],["^15",[585,"^U",505,536870919]],["^15",[585,"^?",["^ ","^1>",false],536870919]],["^15",[585,"^J",["^1>"],536870919]],["^15",[585,"^4",["^ ","^1>","false"],536870919]],["^15",[585,"^;","~u686c5fe9-7eaa-4059-abe4-0cdd10d0d5ae",536870919]],["^15",[586,"^Q","[link: Advanced queries tutorial](https://mschmidtkorth.github.io/logseq-msk-docs/#/page/advanced%20queries%20tutorial)",536870919]],["^15",[586,"^O","^16",536870919]],["^15",[586,"^F",527,536870919]],["^15",[586,"^X",483,536870919]],["^15",[586,"^V",589,536870919]],["^15",[586,"^U",483,536870919]],["^15",[586,"^;","~u686c5fe9-69aa-4ad0-84ee-47074dc01681",536870919]],["^15",[587,"^M",true,536870919]],["^15",[587,"^Q","**Query for non-task blocks with a schedule/deadline in the past**\ncollapsed:: true\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/905889607705575434)\ndate:: [[2021-11-04]]",536870919]],["^15",[587,"^O","^16",536870919]],["^15",[587,"^F",571,536870919]],["^15",[587,"^X",483,536870919]],["^15",[587,"^V",577,536870919]],["^15",[587,"^U",483,536870919]],["^15",[587,"^U",494,536870919]],["^15",[587,"^U",498,536870919]],["^15",[587,"^U",502,536870919]],["^15",[587,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/905889607705575434)","^1H",["^1:",["2021-11-04"]]],536870919]],["^15",[587,"^J",["^1G","^1H"],536870919]],["^15",[587,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/905889607705575434)","^1H","[[2021-11-04]]"],536870919]],["^15",[587,"^H",494,536870919]],["^15",[587,"^H",498,536870919]],["^15",[587,"^H",502,536870919]],["^15",[587,"^;","~u686c5fe9-5523-4cdb-92d0-b287a2a3e4f1",536870919]],["^15",[588,"^M",true,536870919]],["^15",[588,"^Q","**All tasks with priority A**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/898234502890004532)\ndate:: [[2021-10-14]]\ncollapsed:: true",536870919]],["^15",[588,"^O","^16",536870919]],["^15",[588,"^F",608,536870919]],["^15",[588,"^X",483,536870919]],["^15",[588,"^V",577,536870919]],["^15",[588,"^U",483,536870919]],["^15",[588,"^U",486,536870919]],["^15",[588,"^U",498,536870919]],["^15",[588,"^U",502,536870919]],["^15",[588,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/898234502890004532)","^1H",["^1:",["2021-10-14"]]],536870919]],["^15",[588,"^J",["^1G","^1H"],536870919]],["^15",[588,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/898234502890004532)","^1H","[[2021-10-14]]"],536870919]],["^15",[588,"^H",486,536870919]],["^15",[588,"^H",498,536870919]],["^15",[588,"^H",502,536870919]],["^15",[588,"^;","~u686c5fe9-455a-4057-aea0-99d4d3c33bd6",536870919]],["^15",[589,"^Q","### Resources",536870919]],["^15",[589,"^O","^16",536870919]],["^15",[589,"^F",530,536870919]],["^15",[589,"^X",483,536870919]],["^15",[589,"^V",483,536870919]],["^15",[589,"^U",483,536870919]],["^15",[589,"^?",["^ ","^1;",3],536870919]],["^15",[589,"^J",[],536870919]],["^15",[589,"^;","~u686c5fe9-6b93-415b-9897-867301a36914",536870919]],["^15",[590,"^Q","query-table:: false\nquery-properties:: [:alias :birthday]\n#+BEGIN_QUERY\n{\n :query [:find (pull ?b [*])\n      :where\n      [?b :block/properties ?bprops]\n      [(get ?bprops :birthday \"nil\") ?bs]\n      [(not= ?bs \"nil\")]]\n:result-transform (fn [result]\n    (sort-by (fn [h]\n      (get-in h [:block/properties :verjaardag])) result))\n}\n#+END_QUERY",536870919]],["^15",[590,"^O","^16",536870919]],["^15",[590,"^F",579,536870919]],["^15",[590,"^X",483,536870919]],["^15",[590,"^V",579,536870919]],["^15",[590,"^U",483,536870919]],["^15",[590,"^U",485,536870919]],["^15",[590,"^U",498,536870919]],["^15",[590,"^U",502,536870919]],["^15",[590,"^?",["^ ","^1>",false,"^1I","[:alias :birthday]"],536870919]],["^15",[590,"^J",["^1>","^1I"],536870919]],["^15",[590,"^4",["^ ","^1>","false","^1I","[:alias :birthday]"],536870919]],["^15",[590,"^;","~u686c5fe9-3cbd-408a-b9b5-c60a8f145f8c",536870919]],["^15",[591,"^Q","#+BEGIN_QUERY\n{:title \"🔨 Project Now\"\n    :query [:find (pull ?h [*])\n        :in $ ?searchterm\n        :where\n        [?h :block/marker ?marker]\n        [(contains? #{\"NOW\" \"DOING\"} ?marker)]\n        [?p :block/properties ?a]\n        [(get ?a :type) ?t]\n        [(= ?searchterm ?t)]\n        [?br :block/name ?searchterm]\n        (or [?h :block/page ?p]\n            [?h :block/refs ?br])\n        ]\n    :inputs [\"project\"]\n    :result-transform (fn [result]\n        (sort-by (fn [h]\n            (get h :block/priority \"Z\")) result))\n    :collapsed? false}\n#+END_QUERY",536870919]],["^15",[591,"^O","^16",536870919]],["^15",[591,"^F",573,536870919]],["^15",[591,"^X",483,536870919]],["^15",[591,"^V",573,536870919]],["^15",[591,"^U",483,536870919]],["^15",[591,"^U",493,536870919]],["^15",[591,"^U",498,536870919]],["^15",[591,"^U",502,536870919]],["^15",[591,"^;","~u686c5fe9-dc85-4173-8f13-b2d6bc3e00fd",536870919]],["^15",[592,"^Q","Replace `(pull ?h [*])` with:",536870919]],["^15",[592,"^O","^16",536870919]],["^15",[592,"^F",571,536870919]],["^15",[592,"^X",483,536870919]],["^15",[592,"^V",571,536870919]],["^15",[592,"^U",483,536870919]],["^15",[592,"^U",489,536870919]],["^15",[592,"^U",498,536870919]],["^15",[592,"^U",502,536870919]],["^15",[592,"^;","~u686c5fe9-a64f-41d9-8de1-031c473e1a10",536870919]],["^15",[593,"^Q","We may have to multiply with 1000 to get the result in milliseconds, if using the above site.",536870919]],["^15",[593,"^O","^16",536870919]],["^15",[593,"^F",584,536870919]],["^15",[593,"^X",483,536870919]],["^15",[593,"^V",546,536870919]],["^15",[593,"^U",483,536870919]],["^15",[593,"^U",490,536870919]],["^15",[593,"^U",498,536870919]],["^15",[593,"^U",502,536870919]],["^15",[593,"^U",508,536870919]],["^15",[593,"^;","~u686c5fe9-cbe9-49a5-9cd6-f86b1b03798a",536870919]],["^15",[594,"^Q","query-table:: false\n#+BEGIN_QUERY \n{:title \"Old Blocks\"\n :query         [:find (pull ?b [*])\n                 :in $ ?start\n                 :where\n                 (or [?b :block/scheduled ?d]\n                     [?b :block/deadline ?d])\n                 [(< ?d ?start)]\n                 (not [?b :block/marker ?marker] \n                  [(contains? #{\"DONE\" \"CANCELED\"} ?marker)])]\n :inputs [:today]\n :collapsed? false}\n#+END_QUERY",536870919]],["^15",[594,"^O","^16",536870919]],["^15",[594,"^F",587,536870919]],["^15",[594,"^X",483,536870919]],["^15",[594,"^V",587,536870919]],["^15",[594,"^U",483,536870919]],["^15",[594,"^U",494,536870919]],["^15",[594,"^U",498,536870919]],["^15",[594,"^U",502,536870919]],["^15",[594,"^?",["^ ","^1>",false],536870919]],["^15",[594,"^J",["^1>"],536870919]],["^15",[594,"^4",["^ ","^1>","false"],536870919]],["^15",[594,"^;","~u686c5fe9-afbd-44e3-9384-1e5c8c867c1f",536870919]],["^15",[595,"^Q","Equivalent to `{{query \"Quantum mechanics\"}}`",536870919]],["^15",[595,"^O","^16",536870919]],["^15",[595,"^F",523,536870919]],["^15",[595,"^X",483,536870919]],["^15",[595,"^V",596,536870919]],["^15",[595,"^U",477,536870919]],["^15",[595,"^U",483,536870919]],["^15",[595,"^U",498,536870919]],["^15",[595,"^U",502,536870919]],["^15",[595,"^;","~u686c5fe9-5f4f-4e93-a06f-5c9db0ab185c",536870919]],["^15",[596,"^M",true,536870919]],["^15",[596,"^Q","**Query to search a textual input**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/821317203910721577)\ndate:: [[2021-03-16]]\ncollapsed:: true",536870919]],["^15",[596,"^O","^16",536870919]],["^15",[596,"^F",577,536870919]],["^15",[596,"^X",483,536870919]],["^15",[596,"^V",577,536870919]],["^15",[596,"^U",477,536870919]],["^15",[596,"^U",483,536870919]],["^15",[596,"^U",498,536870919]],["^15",[596,"^U",502,536870919]],["^15",[596,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/821317203910721577)","^1H",["^1:",["2021-03-16"]]],536870919]],["^15",[596,"^J",["^1G","^1H"],536870919]],["^15",[596,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/821317203910721577)","^1H","[[2021-03-16]]"],536870919]],["^15",[596,"^H",477,536870919]],["^15",[596,"^H",498,536870919]],["^15",[596,"^H",502,536870919]],["^15",[596,"^;","~u686c5fe9-f993-4815-8de8-2503ce415720",536870919]],["^15",[597,"^Q","~`172800000` is 2 days in ms.",536870919]],["^15",[597,"^O","^16",536870919]],["^15",[597,"^F",558,536870919]],["^15",[597,"^X",483,536870919]],["^15",[597,"^V",553,536870919]],["^15",[597,"^U",478,536870919]],["^15",[597,"^U",483,536870919]],["^15",[597,"^U",498,536870919]],["^15",[597,"^U",502,536870919]],["^15",[597,"^;","~u686c5fe9-e3f7-41d2-acbc-5e0744c5b8cf",536870919]],["^15",[598,"^M",true,536870919]],["^15",[598,"^Q","**List all the projects with page property \"status\" as [[Active]]**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/891910125667905546)\ndate:: [[2021-9-27]]\ncollapsed:: true",536870919]],["^15",[598,"^O","^16",536870919]],["^15",[598,"^F",576,536870919]],["^15",[598,"^X",483,536870919]],["^15",[598,"^V",577,536870919]],["^15",[598,"^U",483,536870919]],["^15",[598,"^U",498,536870919]],["^15",[598,"^U",502,536870919]],["^15",[598,"^U",503,536870919]],["^15",[598,"^U",504,536870919]],["^15",[598,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/891910125667905546)","^1H",["^1:",["2021-9-27"]]],536870919]],["^15",[598,"^J",["^1G","^1H"],536870919]],["^15",[598,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/891910125667905546)","^1H","[[2021-9-27]]"],536870919]],["^15",[598,"^H",498,536870919]],["^15",[598,"^H",502,536870919]],["^15",[598,"^H",503,536870919]],["^15",[598,"^H",504,536870919]],["^15",[598,"^;","~u686c5fe9-b8d5-43e5-89c7-431a9fad05f7",536870919]],["^15",[599,"^Q","#+BEGIN_QUERY\n{:title \"Main Tasks\"\n      :query [:find (pull ?b [*])\n              :where\n              [?b :block/marker ?marker]\n              [(missing? $ ?b :block/scheduled)]\n              [(missing? $ ?b :block/deadline)]\n              [(contains? #{\"LATER\" \"TODO\"} ?marker)]\n              (not [?b :block/path-refs [:block/name \"test\"]])\n              [?b :block/page ?page]\n              [?page :block/original-name ?name]\n              (not[(= ?name \"Journal reviews\")])]\n :breadcrumb-show? false\n :result-transform (fn [result]\n                        (sort-by (fn [h]\n                                   (get h :block/created-at)) result))\n:collapsed? true\n }\n#+END_QUERY",536870919]],["^15",[599,"^O","^16",536870919]],["^15",[599,"^F",552,536870919]],["^15",[599,"^X",483,536870919]],["^15",[599,"^V",537,536870919]],["^15",[599,"^U",480,536870919]],["^15",[599,"^U",483,536870919]],["^15",[599,"^U",498,536870919]],["^15",[599,"^U",502,536870919]],["^15",[599,"^U",504,536870919]],["^15",[599,"^;","~u686c5fe9-bbca-4776-a7cd-b0e32c854a9e",536870919]],["^15",[600,"^Q","[link: Athens Research ClojureFam](https://github.com/athensresearch/ClojureFam)",536870919]],["^15",[600,"^O","^16",536870919]],["^15",[600,"^F",556,536870919]],["^15",[600,"^X",483,536870919]],["^15",[600,"^V",589,536870919]],["^15",[600,"^U",483,536870919]],["^15",[600,"^;","~u686c5fe9-5335-4d10-8f74-807ee7b4fced",536870919]],["^15",[601,"^Q","= between today-1 and today+1\n= between yesterday and tommrow \n= today",536870919]],["^15",[601,"^O","^16",536870919]],["^15",[601,"^F",561,536870919]],["^15",[601,"^X",483,536870919]],["^15",[601,"^V",561,536870919]],["^15",[601,"^U",483,536870919]],["^15",[601,"^U",498,536870919]],["^15",[601,"^U",501,536870919]],["^15",[601,"^U",502,536870919]],["^15",[601,"^;","~u686c5fe9-b394-44a9-afa3-f13dd8c67055",536870919]],["^15",[602,"^M",true,536870919]],["^15",[602,"^Q","**Query backlog TODO and DOING tasks**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868476460061577227)\ndate:: [[2021-07-24]]\ncollapsed:: true",536870919]],["^15",[602,"^O","^16",536870919]],["^15",[602,"^F",560,536870919]],["^15",[602,"^X",483,536870919]],["^15",[602,"^V",577,536870919]],["^15",[602,"^U",483,536870919]],["^15",[602,"^U",498,536870919]],["^15",[602,"^U",502,536870919]],["^15",[602,"^U",507,536870919]],["^15",[602,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/868476460061577227)","^1H",["^1:",["2021-07-24"]]],536870919]],["^15",[602,"^J",["^1G","^1H"],536870919]],["^15",[602,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/868476460061577227)","^1H","[[2021-07-24]]"],536870919]],["^15",[602,"^H",498,536870919]],["^15",[602,"^H",502,536870919]],["^15",[602,"^H",507,536870919]],["^15",[602,"^;","~u686c5fe9-925b-4c6f-8987-e10803f0924f",536870919]],["^15",[603,"^Q","### Own Querys",536870919]],["^15",[603,"^O","^16",536870919]],["^15",[603,"^F",589,536870919]],["^15",[603,"^X",483,536870919]],["^15",[603,"^V",483,536870919]],["^15",[603,"^U",483,536870919]],["^15",[603,"^?",["^ ","^1;",3],536870919]],["^15",[603,"^J",[],536870919]],["^15",[603,"^;","~u686c5fe9-f94b-4074-940e-50a296daa796",536870919]],["^15",[604,"^M",true,536870919]],["^15",[604,"^Q","**Find all TODO tasks outside of the journal pages**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/824060683947737138)\ndate:: [[2021-03-24]]\ncollapsed:: true",536870919]],["^15",[604,"^O","^16",536870919]],["^15",[604,"^F",596,536870919]],["^15",[604,"^X",483,536870919]],["^15",[604,"^V",577,536870919]],["^15",[604,"^U",479,536870919]],["^15",[604,"^U",483,536870919]],["^15",[604,"^U",498,536870919]],["^15",[604,"^U",502,536870919]],["^15",[604,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/824060683947737138)","^1H",["^1:",["2021-03-24"]]],536870919]],["^15",[604,"^J",["^1G","^1H"],536870919]],["^15",[604,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/824060683947737138)","^1H","[[2021-03-24]]"],536870919]],["^15",[604,"^H",479,536870919]],["^15",[604,"^H",498,536870919]],["^15",[604,"^H",502,536870919]],["^15",[604,"^;","~u686c5fe9-23d4-431f-bfc0-bedb5a107135",536870919]],["^15",[605,"^Q","[link: The first message on the datalog channel](https://discord.com/channels/725182569297215569/743139225746145311/743139795865174119)",536870919]],["^15",[605,"^O","^16",536870919]],["^15",[605,"^F",589,536870919]],["^15",[605,"^X",483,536870919]],["^15",[605,"^V",589,536870919]],["^15",[605,"^U",483,536870919]],["^15",[605,"^;","~u686c5fe9-780f-4c23-b1ba-56b7cef1f25a",536870919]],["^15",[606,"^Q","[link: Logseq frontend db model](https://github.com/logseq/logseq/blob/master/src/main/frontend/db/model.cljs)",536870919]],["^15",[606,"^O","^16",536870919]],["^15",[606,"^F",574,536870919]],["^15",[606,"^X",483,536870919]],["^15",[606,"^V",589,536870919]],["^15",[606,"^U",483,536870919]],["^15",[606,"^;","~u686c5fe9-f35e-4516-96b6-7c5caba57bd3",536870919]],["^15",[607,"^Q","",536870919]],["^15",[607,"^O","^16",536870919]],["^15",[607,"^F",603,536870919]],["^15",[607,"^X",483,536870919]],["^15",[607,"^V",483,536870919]],["^15",[607,"^U",483,536870919]],["^15",[607,"^;","~u686c5fe9-ef39-4719-a4e9-56713b35d115",536870919]],["^15",[608,"^M",true,536870919]],["^15",[608,"^Q","WAITING **Query all scheduled/deadlined tasks and sort them by scheduled or deadline date**\nSCHEDULED: <2022-01-30 Sun>\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/897615821688410114)\ndate:: [[2021-10-13]]\ncollapsed:: true",536870919]],["^15",[608,"^O","^16",536870919]],["^15",[608,"^F",537,536870919]],["^15",[608,"^10","WAITING",536870919]],["^15",[608,"^X",483,536870919]],["^15",[608,"^V",577,536870919]],["^15",[608,"^U",13,536870919]],["^15",[608,"^U",483,536870919]],["^15",[608,"^U",498,536870919]],["^15",[608,"^U",502,536870919]],["^15",[608,"^U",509,536870919]],["^15",[608,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/897615821688410114)","^1H",["^1:",["2021-10-13"]]],536870919]],["^15",[608,"^J",["^1G","^1H"],536870919]],["^15",[608,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/897615821688410114)","^1H","[[2021-10-13]]"],536870919]],["^15",[608,"^H",13,536870919]],["^15",[608,"^H",498,536870919]],["^15",[608,"^H",502,536870919]],["^15",[608,"^H",509,536870919]],["^15",[608,"^I",20220130,536870919]],["^15",[608,"^;","~u686c5fe9-6681-4b63-8e2e-41ae62161c13",536870919]],["^15",[609,"^M",true,536870919]],["^15",[609,"^Q","**All TODO blocks recursively related to a tag or page**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/825330146780381205)\ndate:: [[2021-03-27]]\ncollapsed:: true",536870919]],["^15",[609,"^O","^16",536870919]],["^15",[609,"^F",604,536870919]],["^15",[609,"^X",483,536870919]],["^15",[609,"^V",577,536870919]],["^15",[609,"^U",483,536870919]],["^15",[609,"^U",487,536870919]],["^15",[609,"^U",498,536870919]],["^15",[609,"^U",502,536870919]],["^15",[609,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/825330146780381205)","^1H",["^1:",["2021-03-27"]]],536870919]],["^15",[609,"^J",["^1G","^1H"],536870919]],["^15",[609,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/825330146780381205)","^1H","[[2021-03-27]]"],536870919]],["^15",[609,"^H",487,536870919]],["^15",[609,"^H",498,536870919]],["^15",[609,"^H",502,536870919]],["^15",[609,"^;","~u686c5fe9-a09a-4529-b95b-60685d2355a3",536870919]],["^15",[610,"^Q","~``` clojure\n#+BEGIN_QUERY\n(pull ?h [\n    :db/id\n    :block/uuid\n    :block/type\n    :block/left\n    :block/format\n    :block/title\n    :block/refs\n    :block/_refs\n    :block/path-refs\n    :block/tags\n    :block/content\n    :block/marker\n    :block/priority\n    :block/properties\n    :block/body\n    :block/pre-block?\n    :block/scheduled\n    :block/deadline\n    :block/repeated?\n    :block/created-at\n    :block/updated-at\n    :block/file\n    :block/parent\n    :block/unordered\n    :block/heading-level\n    {:block/page\n    [:db/id :block/name :block/original-name :block/journal-day]}\n    {:block/_parent ...}])\n\n```",536870919]],["^15",[610,"^O","^16",536870919]],["^15",[610,"^F",592,536870919]],["^15",[610,"^X",483,536870919]],["^15",[610,"^V",571,536870919]],["^15",[610,"^U",483,536870919]],["^15",[610,"^U",489,536870919]],["^15",[610,"^U",498,536870919]],["^15",[610,"^U",502,536870919]],["^15",[610,"^;","~u686c5fe9-4d50-4f9f-858b-9af03c1d2084",536870919]],["^15",[611,"^M",true,536870919]],["^15",[611,"^Q","**Simple query to finds all the tasks created today**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923276145321967676), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923282510283169812), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923486975552528424)\ndate:: [[2021-12-22]]\ncollapsed:: true",536870919]],["^15",[611,"^O","^16",536870919]],["^15",[611,"^F",543,536870919]],["^15",[611,"^X",483,536870919]],["^15",[611,"^V",577,536870919]],["^15",[611,"^U",483,536870919]],["^15",[611,"^U",498,536870919]],["^15",[611,"^U",501,536870919]],["^15",[611,"^U",502,536870919]],["^15",[611,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/923276145321967676), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923282510283169812), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923486975552528424)","^1H",["^1:",["2021-12-22"]]],536870919]],["^15",[611,"^J",["^1G","^1H"],536870919]],["^15",[611,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/923276145321967676), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923282510283169812), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923486975552528424)","^1H","[[2021-12-22]]"],536870919]],["^15",[611,"^H",498,536870919]],["^15",[611,"^H",501,536870919]],["^15",[611,"^H",502,536870919]],["^15",[611,"^;","~u686c5fe9-c5c1-4ec3-ab7d-8fee9b23e00d",536870919]],["^15",[612,"^M",true,536870919]],["^15",[612,"^Q","**Query to find tasks under a block containing the text \"Follow-up\"**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/918847233586253906)\ndate:: [[2021-12-10]]\ncollapsed:: true",536870919]],["^15",[612,"^O","^16",536870919]],["^15",[612,"^F",587,536870919]],["^15",[612,"^X",483,536870919]],["^15",[612,"^V",577,536870919]],["^15",[612,"^U",476,536870919]],["^15",[612,"^U",483,536870919]],["^15",[612,"^U",498,536870919]],["^15",[612,"^U",502,536870919]],["^15",[612,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/918847233586253906)","^1H",["^1:",["2021-12-10"]]],536870919]],["^15",[612,"^J",["^1G","^1H"],536870919]],["^15",[612,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/918847233586253906)","^1H","[[2021-12-10]]"],536870919]],["^15",[612,"^H",476,536870919]],["^15",[612,"^H",498,536870919]],["^15",[612,"^H",502,536870919]],["^15",[612,"^;","~u686c5fe9-0c13-45af-8996-96c60763515f",536870919]],["^15",[613,"^Q","#+BEGIN_QUERY\n{:title \"🟠 SLIPPING deadlines (<1W)\"\n    :query [:find (pull ?block [*])\n            :in $ ?start ?today\n            :where\n            (or\n              [?block :block/scheduled ?d]\n              [?block :block/deadline ?d])\n            (not\n              [?block :block/marker ?marker] \n              (not [(contains? #{\"NOW\" \"LATER\" \"TODO\" \"DOING\"} ?marker)]))\n            [(>= ?d ?start)]\n            [(<= ?d ?today)]]\n    :inputs [:8d :today]\n    :collapsed? true}\n#+END_QUERY",536870919]],["^15",[613,"^O","^16",536870919]],["^15",[613,"^F",565,536870919]],["^15",[613,"^X",483,536870919]],["^15",[613,"^V",572,536870919]],["^15",[613,"^U",483,536870919]],["^15",[613,"^U",498,536870919]],["^15",[613,"^U",502,536870919]],["^15",[613,"^U",510,536870919]],["^15",[613,"^;","~u686c5fe9-a232-499c-8931-bb0f1f8f2b0f",536870919]],["^15",[614,"^Q","#+BEGIN_QUERY\n{:title \"Siloed search\"\n :query [:find (pull ?b [*])\n         :in $ ?keyword [?title ...]\n         :where\n         [?p :block/original-name ?title]\n         [?b :block/page ?p]\n         [?b :block/content ?c]\n         [(clojure.string/includes? ?c ?keyword)]]\n :inputs [\"tasks\" [\"Advanced queries\" \"Advanced queries/Examples\"]]\n }\n#+END_QUERY",536870919]],["^15",[614,"^O","^16",536870919]],["^15",[614,"^F",581,536870919]],["^15",[614,"^X",483,536870919]],["^15",[614,"^V",581,536870919]],["^15",[614,"^U",483,536870919]],["^15",[614,"^U",498,536870919]],["^15",[614,"^U",502,536870919]],["^15",[614,"^U",507,536870919]],["^15",[614,"^;","~u686c5fe9-72cd-42bb-8fcb-8ed7b94c43a6",536870919]],["^15",[615,"^Q","DONE Completed this query",536870919]],["^15",[615,"^O","^16",536870919]],["^15",[615,"^F",617,536870919]],["^15",[615,"^10","DONE",536870919]],["^15",[615,"^X",483,536870919]],["^15",[615,"^V",533,536870919]],["^15",[615,"^U",7,536870919]],["^15",[615,"^U",483,536870919]],["^15",[615,"^U",496,536870919]],["^15",[615,"^U",498,536870919]],["^15",[615,"^U",502,536870919]],["^15",[615,"^H",7,536870919]],["^15",[615,"^;","~u686c5fe9-164e-4434-9f4e-d5f5921a0699",536870919]],["^15",[616,"^Q","#+BEGIN_QUERY\n{:title \"All TODO items related to the tag 'Cowling' \"\n:query\n [:find (pull ?b [*])\n  :where\n  [?b 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","^1=","blue"],536871603]],["^15",[668,"^;","~u7e12115b-9031-494b-b6cf-e4d23a0b9386",536871603]],["^15",[669,"^Q","",536871603]],["^15",[669,"^O","^16",536871603]],["^15",[669,"^F",668,536871603]],["^15",[669,"^X",662,536871603]],["^15",[669,"^V",668,536871603]],["^15",[669,"^U",457,536871604]],["^15",[669,"^U",662,536871604]],["^15",[669,"^;","~u724994cd-e4f6-45fa-80de-c7431c065923",536871603]],["^15",[670,"^Q","---",536871603]],["^15",[670,"^O","^16",536871603]],["^15",[670,"^F",663,536871603]],["^15",[670,"^X",662,536871603]],["^15",[670,"^V",662,536871603]],["^15",[670,"^U",662,536871604]],["^15",[670,"^;","~uc14a8f6c-87f0-4297-9be2-32e9cffa08a7",536871603]],["^15",[672,"^3","## Meta:\n\t- Additional Tags:\n\t- Additional References:\n\t- **Subpages:**\n\t  background-color:: purple\n\t\t- #+BEGIN_QUERY\n\t\t  {\n\t\t   :title \"Index:\"\n\t\t    :query (namespace [[Other]])\n\t\t  }\n\t\t  #+END_QUERY\n\t- **Summery:**\n\t  background-color:: blue\n\t\t-\n- ---",536871639]],["^15",[672,"^18","~m1752074654050",536871638]],["^15",[672,"^Z","pages/Other.md",536871605]],["^15",[673,"^M",true,536871979]],["^15",[673,"^Q","### Zweierlei Sein",536871662]],["^15",[673,"^O","^16",536871618]],["^15",[673,"^F",687,536871985]],["^15",[673,"^X",674,536871628]],["^15",[673,"^V",674,536871628]],["^15",[673,"^U",674,536871629]],["^15",[673,"^?",["^ ","^1;",3],536871985]],["^15",[673,"^J",["^14",[]],536871985]],["^15",[673,"^;","~u686e8995-4ab8-47a9-a0da-1b94acaf649e",536871618]],["^15",[674,"^K",1752074651190,536871625]],["^15",[674,"^[",676,536871642]],["^15",[674,"^O","^16",536871625]],["^15",[674,"^@",false,536871625]],["^15",[674,"^Y","other/lyric",536871625]],["^15",[674,"^A",662,536871625]],["^15",[674,"^11","Other/Lyric",536871625]],["^15",[674,"^B",1752077344492,536872097]],["^15",[674,"^;","~u686e899b-a1cf-4ae1-9aa3-199a92be4852",536871625]],["^15",[676,"^3","## Meta\n\t- Additional Tags:\n\t- Additional References:\n\t- **Notes:**\n\t  background-color:: red\n\t\t- {{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Other/Lyric]]) (namespace [[Other/Lyric]])))}}\n\t\t  query-sort-by:: block\n\t\t  query-table:: true\n\t\t  query-sort-desc:: false\n\t- **Slides:**\n\t  background-color:: green\n\t\t- {{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Other/Lyric]]) (namespace [[Other/Lyric]])))}}\n\t- **Summery**:\n\t  background-color:: blue\n\t\t- Eine Sammlung an verfassten lyrischen Werken\n- ---\n- ### Zweierlei Sein\n  collapsed:: true\n\t- Ich kann, weil ich will, was ich muss; doch muss ich nur was der Selbstzwang mir erlaubt, wenn der Wille siegt, dem inneren Gegner überwinden zu können.\n\t  \n\t  Die zur persönlichkeitsdeffinierenden Kraft elevierter Selbstindoktrination. Ohne sie wäre ich nicht ich, doch ist mein Sein mit ihr wirklich mein?\n\t  \n\t  Dass muss es: Ohne Selbstzwang wäre ich verachtungswürdig. Die Idee des progressiven unbeachtet, wenn nicht gar dem meinigen Kampf entgegen-gerichtet, verraten von mir selbst.\n\t  \n\t  Verloren, sollte das 'will', nachlassen und nicht mehr zu dem 'muss' führen, verloren lasse die Kraft nach mir selbst den richtigen Weg zu diktieren.\n\t  \n\t  Sei mir dann alles genommen? Zurecht sicher, so viel vertrauen Zerstört, durch meinen, viel mehr seinen, Sieg: zu viele Freundschaften gebrochen! Die Angst vor der Zukunft geringer als die Sorge vor mir in ihr.\n\t  \n\t  Ist die Befürchtung unvermeidlich, so bin ich wertlos, wird die Befürchtung Realität: Neutralisierung!\n\t-\n- ### Alternative(los)\n  collapsed:: true\n\t- I\n\t\t- Ich finde mich wider in ewiger Lehre. An einem Ort unbegrenzter Natur, schwarzer Weite bis in die Unendlichkeit - Als könnte man 100 Stunden laufen, und doch am selben Ort verbleiben -, keine Strukturen, ein monotoner Grund.\n\t\t  \n\t\t  Doch ich vermag zu sehen - auch wenn es nichts gibt das zu sehen währe -.\n\t\t  An einem Ort der so friedlich sein müsste, wie die ruhigste Nacht, fühlt sich mein Sein an wie in einer Zelle am schlimmsten Ort eines unsteten Tages inmitten ewigem Geschrei. Mir wird übel, scheinbar ohne Grund, ein mentales Kriegsgebiet: \n\t\t  Jede Sekunde das Gefühl der physischen Enge, im doch unendlichen Raum sei ich erdrückt, nein erstickt, vom schwindenden Platz.\n\t\t  Jede Sekunde das Gefühl ich würde von Gegenständen übermannt, als schleuderten diese mit ungeheuerlicher Kraft in mich hinein, ungebremst, Todbringend.\n\t\t  Jede Sekunde diese Gefühle... \n\t\t  doch nie passiert es, wie soll es auch in der ewigen Lehre? So verbleibt die ewig quälende Antizipation und ich mit ihr; ruhelos und langsam schwächelnde.\n\t\t  \n\t\t  Das war mein Traum, kein schöner sicherlich aber nur ein Traum. Zumindest für mich, zumindest noch...\n\t- II\n\t\t- TODO [#C]\n\t-\n- ### Das Problem der Emotionalität\n  collapsed:: true\n\t- Die ausmaßende Schrecklichkeit, ja fast schon Tyrannei, menschenlicher Emotionen auf geseltschaftlich-, politische Debatten ist trotz Erwartung der Irrationalität immer wider erschreckend.\n\t  *Anscheinend sogar so erschreckend, das ich mich in jene vermeintlich intellektuell höhergestellte Satzgefüge zu retten versuche, ohne dabei den Zynismuss erkennen zu können selbst, in beschriebener Weise, beeinflusst worden zu sein*\n-",536872099]],["^15",[676,"^18","~m1752077344802",536872098]],["^15",[676,"^Z","pages/Other___Lyric.md",536871642]],["^15",[678,"^Q","## Meta",536871670]],["^15",[678,"^O","^16",536871666]],["^15",[678,"^F",674,536872097]],["^15",[678,"^X",674,536871666]],["^15",[678,"^V",674,536871666]],["^15",[678,"^U",674,536872092]],["^15",[678,"^?",["^ ","^1;",2],536872097]],["^15",[678,"^J",["^14",[]],536872097]],["^15",[678,"^;","~u686e89d1-d21b-419f-8024-c9f5002f4d87",536871666]],["^15",[679,"^Q","Additional Tags:",536871670]],["^15",[679,"^O","^16",536871670]],["^15",[679,"^F",678,536871670]],["^15",[679,"^X",674,536871670]],["^15",[679,"^V",678,536871670]],["^15",[679,"^U",674,536872092]],["^15",[679,"^;","~u88d906e0-b021-4681-8452-f9ac2cbedc1a",536871670]],["^15",[680,"^Q","Additional References:",536871670]],["^15",[680,"^O","^16",536871670]],["^15",[680,"^F",679,536871670]],["^15",[680,"^X",674,536871670]],["^15",[680,"^V",678,536871670]],["^15",[680,"^U",674,536872092]],["^15",[680,"^;","~u618202a0-75fa-4180-93fa-222908665ae5",536871670]],["^15",[681,"^Q","**Notes:**\nbackground-color:: red",536871670]],["^15",[681,"^O","^16",536871670]],["^15",[681,"^F",680,536871670]],["^15",[681,"^X",674,536871670]],["^15",[681,"^V",678,536871670]],["^15",[681,"^U",674,536872092]],["^15",[681,"^?",["^ ","^1=","red"],536871670]],["^15",[681,"^J",["^14",["^1="]],536871670]],["^15",[681,"^4",["^ ","^1=","red"],536871670]],["^15",[681,"^;","~u1ecde954-24bc-405a-bed8-50a161c8e6fe",536871670]],["^15",[682,"^Q","{{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Other/Lyric]]) (namespace [[Other/Lyric]])))}}\nquery-sort-by:: block\nquery-table:: true\nquery-sort-desc:: false",536871670]],["^15",[682,"^O","^16",536871670]],["^15",[682,"^F",681,536871670]],["^15",[682,"^X",674,536871670]],["^15",[682,"^V",681,536871670]],["^15",[682,"^U",674,536872092]],["^15",[682,"^?",["^ ","^1?","block","^1>",true,"^1@",false],536871670]],["^15",[682,"^J",["^14",["^1?","^1>","^1@"]],536871670]],["^15",[682,"^4",["^ ","^1?","block","^1>","true","^1@","false"],536871670]],["^15",[682,"^;","~u63c75cd3-fad1-4135-8a85-d5f0f7fb5a6b",536871670]],["^15",[683,"^Q","**Slides:**\nbackground-color:: green",536871670]],["^15",[683,"^O","^16",536871670]],["^15",[683,"^F",681,536871670]],["^15",[683,"^X",674,536871670]],["^15",[683,"^V",678,536871670]],["^15",[683,"^U",674,536872092]],["^15",[683,"^?",["^ ","^1=","green"],536871670]],["^15",[683,"^J",["^14",["^1="]],536871670]],["^15",[683,"^4",["^ ","^1=","green"],536871670]],["^15",[683,"^;","~u7bd3ee72-a538-4438-b6c4-ee0a5d6d310f",536871670]],["^15",[684,"^Q","{{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Other/Lyric]]) (namespace [[Other/Lyric]])))}}",536871670]],["^15",[684,"^O","^16",536871670]],["^15",[684,"^F",683,536871670]],["^15",[684,"^X",674,536871670]],["^15",[684,"^V",683,536871670]],["^15",[684,"^U",674,536872092]],["^15",[684,"^;","~u02efee34-64fb-4b51-a4f5-fc69d845be9b",536871670]],["^15",[685,"^Q","**Summery**:\nbackground-color:: blue",536871670]],["^15",[685,"^O","^16",536871670]],["^15",[685,"^F",683,536871670]],["^15",[685,"^X",674,536871670]],["^15",[685,"^V",678,536871670]],["^15",[685,"^U",674,536872092]],["^15",[685,"^?",["^ ","^1=","blue"],536871670]],["^15",[685,"^J",["^14",["^1="]],536871670]],["^15",[685,"^4",["^ ","^1=","blue"],536871670]],["^15",[685,"^;","~u91628d68-b7d3-47b4-a764-46bc412b5d0a",536871670]],["^15",[686,"^Q","Eine Sammlung an verfassten lyrischen Werken",536871686]],["^15",[686,"^O","^16",536871670]],["^15",[686,"^F",685,536871670]],["^15",[686,"^X",674,536871670]],["^15",[686,"^V",685,536871670]],["^15",[686,"^U",674,536872092]],["^15",[686,"^?",["^ "],536871686]],["^15",[686,"^;","~u686dd51e-c03d-4c3b-8f47-6317ed3b46ee",536871670]],["^15",[687,"^Q","---",536871670]],["^15",[687,"^O","^16",536871670]],["^15",[687,"^F",678,536871670]],["^15",[687,"^X",674,536871670]],["^15",[687,"^V",674,536871670]],["^15",[687,"^U",674,536871671]],["^15",[687,"^;","~u08bdbb77-399f-4879-801c-0dddce24cb37",536871670]],["^15",[689,"^U",674,536871690]],["^15",[690,"^U",674,536871690]],["^15",[691,"^U",674,536871690]],["^15",[692,"^U",674,536871690]],["^15",[693,"^U",674,536871690]],["^15",[694,"^U",674,536871690]],["^15",[695,"^Q","Ich kann, weil ich will, was ich muss; doch muss ich nur was der Selbstzwang mir erlaubt, wenn der Wille siegt, dem inneren Gegner überwinden zu können.\n\nDie zur persönlichkeitsdeffinierenden Kraft elevierter Selbstindoktrination. Ohne sie wäre ich nicht ich, doch ist mein Sein mit ihr wirklich mein?\n\nDass muss es: Ohne Selbstzwang wäre ich verachtungswürdig. Die Idee des progressiven unbeachtet, wenn nicht gar dem meinigen Kampf entgegen-gerichtet, verraten von mir selbst.\n\nVerloren, sollte das 'will', nachlassen und nicht mehr zu dem 'muss' führen, verloren lasse die Kraft nach mir selbst den richtigen Weg zu diktieren.\n\nSei mir dann alles genommen? Zurecht sicher, so viel vertrauen Zerstört, durch meinen, viel mehr seinen, Sieg: zu viele Freundschaften gebrochen! Die Angst vor der Zukunft geringer als die Sorge vor mir in ihr.\n\nIst die Befürchtung unvermeidlich, so bin ich wertlos, wird die Befürchtung Realität: Neutralisierung!",536871862]],["^15",[695,"^O","^16",536871703]],["^15",[695,"^F",673,536871707]],["^15",[695,"^X",674,536871703]],["^15",[695,"^V",673,536871703]],["^15",[695,"^U",674,536871704]],["^15",[695,"^?",["^ "],536871862]],["^15",[695,"^;","~u686e8a21-4a69-40e1-83c0-6a264a049701",536871703]],["^15",[705,"^M",true,536871988]],["^15",[705,"^Q","### Alternative(los)",536871881]],["^15",[705,"^O","^16",536871727]],["^15",[705,"^F",673,536871732]],["^15",[705,"^X",674,536871727]],["^15",[705,"^V",674,536871732]],["^15",[705,"^U",674,536871728]],["^15",[705,"^?",["^ ","^1;",3],536871881]],["^15",[705,"^J",["^14",[]],536871881]],["^15",[705,"^;","~u686e8a30-7e00-4245-9bbc-cc105f744b1c",536871727]],["^15",[706,"^Q","Ich finde mich wider in ewiger Lehre. An einem Ort unbegrenzter Natur, schwarzer Weite bis in die Unendlichkeit - Als könnte man 100 Stunden laufen, und doch am selben Ort verbleiben -, keine Strukturen, ein monotoner Grund.\n\nDoch ich vermag zu sehen - auch wenn es nichts gibt das zu sehen währe -.\nAn einem Ort der so friedlich sein müsste, wie die ruhigste Nacht, fühlt sich mein Sein an wie in einer Zelle am schlimmsten Ort eines unsteten Tages inmitten ewigem Geschrei. Mir wird übel, scheinbar ohne Grund, ein mentales Kriegsgebiet: \nJede Sekunde das Gefühl der physischen Enge, im doch unendlichen Raum sei ich erdrückt, nein erstickt, vom schwindenden Platz.\nJede Sekunde das Gefühl ich würde von Gegenständen übermannt, als schleuderten diese mit ungeheuerlicher Kraft in mich hinein, ungebremst, Todbringend.\nJede Sekunde diese Gefühle... \ndoch nie passiert es, wie soll es auch in der ewigen Lehre? So verbleibt die ewig quälende Antizipation und ich mit ihr; ruhelos und langsam schwächelnde.\n\nDas war mein Traum, kein schöner sicherlich aber nur ein Traum. Zumindest für mich, zumindest noch...",536871874]],["^15",[706,"^O","^16",536871766]],["^15",[706,"^F",712,536871883]],["^15",[706,"^X",674,536871766]],["^15",[706,"^V",712,536871890]],["^15",[706,"^U",674,536871940]],["^15",[706,"^?",["^ "],536871874]],["^15",[706,"^;","~u686e8a63-d328-4b10-9bfc-3388fb470900",536871775]],["^15",[709,"^Q","",536871803]],["^15",[709,"^O","^16",536871794]],["^15",[709,"^F",695,536871853]],["^15",[709,"^X",674,536871794]],["^15",[709,"^V",673,536871794]],["^15",[709,"^U",674,536871795]],["^15",[709,"^?",["^ "],536871853]],["^15",[709,"^;","~u686e8aa3-bae2-46fd-bdac-77afbf58e9ee",536871794]],["^15",[710,"^?",["^ ","^1A","cards","^1B",[]],536871800]],["^15",[710,"^W","macro",536871800]],["^15",[710,"^T","cards ",536871800]],["^15",[712,"^Q","I",536871889]],["^15",[712,"^O","^16",536871883]],["^15",[712,"^F",705,536871883]],["^15",[712,"^X",674,536871883]],["^15",[712,"^V",705,536871883]],["^15",[712,"^U",674,536871940]],["^15",[712,"^?",["^ "],536871889]],["^15",[712,"^;","~u686e8c59-56a4-4074-9ef7-4e72adb63629",536871883]],["^15",[713,"^Q","II",536871902]],["^15",[713,"^O","^16",536871895]],["^15",[713,"^F",712,536871899]],["^15",[713,"^X",674,536871895]],["^15",[713,"^V",705,536871899]],["^15",[713,"^U",674,536871940]],["^15",[713,"^?",["^ "],536871902]],["^15",[713,"^;","~u686e8c5f-ee08-4078-b534-f00373946384",536871895]],["^15",[714,"^Q","TODO [#C]",536871923]],["^15",[714,"^O","^16",536871903]],["^15",[714,"^F",713,536871903]],["^15",[714,"^10","TODO",536871923]],["^15",[714,"^X",674,536871903]],["^15",[714,"^V",713,536871909]],["^15",[714,"^U",4,536871940]],["^15",[714,"^U",10,536871940]],["^15",[714,"^U",674,536871940]],["^15",[714,"^>","C",536871923]],["^15",[714,"^?",["^ "],536871923]],["^15",[714,"^H",4,536871923]],["^15",[714,"^H",10,536871923]],["^15",[714,"^;","~u686e8c61-2faf-44bc-adb6-bf65f3b20e44",536871903]],["^15",[715,"^Q","",536871928]],["^15",[715,"^O","^16",536871928]],["^15",[715,"^@",false,536871928]],["^15",[715,"^F",713,536871939]],["^15",[715,"^X",674,536871928]],["^15",[715,"^V",705,536871939]],["^15",[715,"^U",674,536871940]],["^15",[715,"^?",["^ "],536871928]],["^15",[715,"^;","~u686e8ca7-79ce-439d-8a1a-ac0f607b38f8",536871928]],["^15",[716,"^M",true,536871991]],["^15",[716,"^Q","### Das Problem der Emotionalität",536871952]],["^15",[716,"^O","^16",536871935]],["^15",[716,"^@",false,536871935]],["^15",[716,"^F",705,536871939]],["^15",[716,"^X",674,536871935]],["^15",[716,"^V",674,536871935]],["^15",[716,"^U",674,536871936]],["^15",[716,"^?",["^ ","^1;",3],536871952]],["^15",[716,"^J",["^14",[]],536871952]],["^15",[716,"^;","~u686e8ca9-2d56-4099-8edc-a10e98a372a1",536871935]],["^15",[717,"^Q","Die ausmaßende Schrecklichkeit, ja fast schon Tyrannei, menschenlicher Emotionen auf geseltschaftlich-, politische Debatten ist trotz Erwartung der Irrationalität immer wider erschreckend.\n*Anscheinend sogar so erschreckend, das ich mich in jene vermeintlich intellektuell höhergestellte Satzgefüge zu retten versuche, ohne dabei den Zynismuss erkennen zu können selbst, in beschriebener Weise, beeinflusst worden zu sein*",536871975]],["^15",[717,"^O","^16",536871953]],["^15",[717,"^@",false,536871953]],["^15",[717,"^F",716,536871953]],["^15",[717,"^X",674,536871953]],["^15",[717,"^V",716,536871955]],["^15",[717,"^U",674,536871954]],["^15",[717,"^?",["^ "],536871975]],["^15",[717,"^;","~u686e8e62-b1e9-433a-ba45-2a68963d9a48",536871962]],["^15",[719,"^Q","",536871994]],["^15",[719,"^O","^16",536871994]],["^15",[719,"^@",false,536871994]],["^15",[719,"^F",716,536871994]],["^15",[719,"^X",674,536871994]],["^15",[719,"^V",674,536871994]],["^15",[719,"^U",674,536871995]],["^15",[719,"^?",["^ "],536871994]],["^15",[719,"^;","~u686e8ec6-bbf0-4936-9b26-7d723296755f",536871994]],["^15",[727,"^Y","\"",536872035]],["^15",[728,"^Y","h",536872035]],["^15",[729,"^Y","e",536872035]],["^15",[730,"^Y","l",536872035]],["^15",[731,"^Y","o",536872035]],["^15",[737,"^Q","~```\npodman run -ti --name ubuntu-ai \\\n  --entrypoint /bin/bash \\\n  -p 9000:8080 \\\n  --device=/dev/kfd \\\n  --device=/dev/dri \\\n  --group-add=video \\\n  ubuntu:24.04\n\n# Inside the container:\napt update\napt install -y build-essential libnuma-dev curl libcurl4-openssl-dev cmake git\n\nwget https://repo.radeon.com/amdgpu-install/latest/ubuntu/noble/amdgpu-install_6.4.60401-1_all.deb\napt install -y ./amdgpu-install_6.4.60401-1_all.deb\n\napt update\namdgpu-install --usecase=rocm,hip --no-dkms\n\nwget https://localai.io/install.sh\nbash install.sh\n\necho 'HSA_OVERRIDE_GFX_VERSION=10.3.0' >> /etc/localai.env\necho 'PATH=$PATH:/opt/rocm/bin:/opt/rocm/rocprofiler/bin:/opt/rocm/opencl/bin' >> /etc/localai.env\necho 'GGML_CUDA_ENABLE_UNIFIED_MEMORY=1' >> /etc/localai.env\n```",536872313]],["^15",[737,"^O","^16",536872145]],["^15",[737,"^F",643,536872240]],["^15",[737,"^X",296,536872145]],["^15",[737,"^V",643,536872147]],["^15",[737,"^U",296,536872237]],["^15",[737,"^U",297,536872237]],["^15",[737,"^U",298,536872237]],["^15",[737,"^?",["^ "],536872313]],["^15",[737,"^;","~u686e9766-e0b2-47c5-a5b7-6fc206b24d03",536872159]],["^15",[738,"^U",296,536872153]],["^15",[738,"^U",298,536872153]],["^15",[739,"^U",296,536872160]],["^15",[739,"^U",298,536872160]],["^15",[741,"^Q","Buildin #llama manualy",536872322]],["^15",[741,"^O","^16",536872193]],["^15",[741,"^F",737,536872193]],["^15",[741,"^X",296,536872193]],["^15",[741,"^V",643,536872193]],["^15",[741,"^U",296,536872321]],["^15",[741,"^U",297,536872321]],["^15",[741,"^U",298,536872321]],["^15",[741,"^U",749,536872321]],["^15",[741,"^?",["^ 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"],536872273]],["^15",[744,"^;","~u686ec802-47de-4aef-900e-f3796a7c2eb5",536872249]],["^15",[745,"^Q","~`sudo cmake --install build`",536872283]],["^15",[745,"^O","^16",536872276]],["^15",[745,"^F",744,536872276]],["^15",[745,"^X",296,536872276]],["^15",[745,"^V",741,536872276]],["^15",[745,"^U",296,536872323]],["^15",[745,"^U",297,536872323]],["^15",[745,"^U",298,536872323]],["^15",[745,"^U",749,536872323]],["^15",[745,"^?",["^ "],536872283]],["^15",[745,"^;","~u686ec811-ad6e-4389-9102-0c9e039d17ae",536872276]],["^15",[746,"^Q","~`build/bin/libllama.so /usr/local/lib/`",536872293]],["^15",[746,"^O","^16",536872284]],["^15",[746,"^F",745,536872284]],["^15",[746,"^X",296,536872284]],["^15",[746,"^V",741,536872284]],["^15",[746,"^U",296,536872323]],["^15",[746,"^U",297,536872323]],["^15",[746,"^U",298,536872323]],["^15",[746,"^U",749,536872323]],["^15",[746,"^?",["^ 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Tags:",536872352]],["^15",[758,"^O","^16",536872352]],["^15",[758,"^F",757,536872352]],["^15",[758,"^X",756,536872352]],["^15",[758,"^V",757,536872352]],["^15",[758,"^U",756,536872353]],["^15",[758,"^;","~u2dab0d56-e273-4ddb-9142-39d6c7489c6c",536872352]],["^15",[759,"^Q","Additional References:",536872352]],["^15",[759,"^O","^16",536872352]],["^15",[759,"^F",758,536872352]],["^15",[759,"^X",756,536872352]],["^15",[759,"^V",757,536872352]],["^15",[759,"^U",756,536872353]],["^15",[759,"^;","~u3077c7d0-25d9-4abe-85ae-a55bad9bf985",536872352]],["^15",[760,"^Q","**Notes:**\nbackground-color:: red",536872352]],["^15",[760,"^O","^16",536872352]],["^15",[760,"^F",759,536872352]],["^15",[760,"^X",756,536872352]],["^15",[760,"^V",757,536872352]],["^15",[760,"^U",756,536872353]],["^15",[760,"^?",["^ ","^1=","red"],536872352]],["^15",[760,"^J",["^14",["^1="]],536872352]],["^15",[760,"^4",["^ 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blue",536872352]],["^15",[764,"^O","^16",536872352]],["^15",[764,"^F",762,536872352]],["^15",[764,"^X",756,536872352]],["^15",[764,"^V",757,536872352]],["^15",[764,"^U",756,536872353]],["^15",[764,"^?",["^ ","^1=","blue"],536872352]],["^15",[764,"^J",["^14",["^1="]],536872352]],["^15",[764,"^4",["^ ","^1=","blue"],536872352]],["^15",[764,"^;","~u66dee207-c097-44bc-bef9-c08a73a973a6",536872352]],["^15",[765,"^Q","",536872352]],["^15",[765,"^O","^16",536872352]],["^15",[765,"^F",764,536872352]],["^15",[765,"^X",756,536872352]],["^15",[765,"^V",764,536872352]],["^15",[765,"^U",756,536872353]],["^15",[765,"^;","~u03a3bf3e-30d3-4d0e-a1c9-d805d6804343",536872352]],["^15",[766,"^Q","---",536872352]],["^15",[766,"^O","^16",536872352]],["^15",[766,"^F",757,536872352]],["^15",[766,"^X",756,536872352]],["^15",[766,"^V",756,536872352]],["^15",[766,"^U",756,536872353]],["^15",[766,"^;","~uc6a2f6a9-5f8b-41ab-9a2f-2e35397ca42e",536872352]],["^15",[767,"^Q","Components #Note",536872376]],["^15",[767,"^O","^16",536872352]],["^15",[767,"^F",766,536872352]],["^15",[767,"^X",756,536872352]],["^15",[767,"^V",756,536872352]],["^15",[767,"^U",241,536872377]],["^15",[767,"^U",756,536872377]],["^15",[767,"^?",["^ "],536872376]],["^15",[767,"^H",241,536872376]],["^15",[767,"^;","~ue2408e6c-1187-466b-834f-69d7173aedb7",536872352]],["^15",[768,"^3","## Meta\n\t- Additional Tags:\n\t- Additional References:\n\t- **Notes:**\n\t  background-color:: red\n\t\t- {{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[AutoDiscDecrypt]]) (namespace [[AutoDiscDecrypt]])))}}\n\t\t  query-sort-by:: block\n\t\t  query-table:: true\n\t\t  query-sort-desc:: false\n\t- **Slides:**\n\t  background-color:: green\n\t\t- {{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[AutoDiscDecrypt]]) (namespace [[AutoDiscDecrypt]])))}}\n\t- **Summery**:\n\t  background-color:: blue\n\t\t-\n- ---\n- Components #Note\n\t- ### APP config:\n\t\t- deployed in OVM or TrueNAS\n\t\t- listening port, addresses\n\t\t- list of self managed shars\n\t\t- ovm or TrueNAs\n\t\t- #+BEGIN_NOTE\n\t\t  `/etc/auto-disc-decrypt/server-config`\n\t\t  #+END_NOTE\n\t- ### Service config (can be encrypted):\n\t\t- _Listen to request value is filename_\n\t\t- Access key hash <>\n\t\t- Require user consent?\n\t\t- Executing action:\n\t\t  id:: 6873af67-adfe-4a48-8e55-6fb7c440d17b\n\t\t\t- HTTP\n\t\t\t\t- Methode, Body, URL (+PORT)\n\t\t\t- SSH\n\t\t\t\t- Target, cmd to exec\n\t\t- On failiure\n\t\t- #+BEGIN_NOTE\n\t\t  `/etc/auto-disc-decrypt/server/*`\n\t\t  #+END_NOTE\n\t- ### On boot:\n\t\t- Load APP config\n\t\t- check if service config is encrypted\n\t\t\t- YES: Notify user to enter passkey to enable services\n\t\t\t- NO: continue\n\t\t- Check if any managed still encrypted shares are found\n\t\t\t- try to decrypt\n\t\t\t- request must be answered wit decryption request token\n\t- ### Operation chart\n\t\t- Serving:\n\t\t\t- POST: `/request/<config server config name>?trigger_key=<access key>` -> request server to start action specified in config\n\t\t\t  id:: 6873a504-82a8-420f-9bed-e1cac8ca92c0\n\t\t\t- POST: `/consent/<consent_id>` -> Request  User to consent that action is taken\n\t\t\t  id:: 6873a896-aa1c-4f46-9ada-b603c28246ea\n\t\t\t\t- GET to same path should include additional information and field to enter token\n\t\t\t\t  id:: 6873ac47-5461-4286-a649-4ae5c5d96326\n\t\t- Managing:\n\t\t\t- Retry encryption of own shares every `<n>` minute\n\t\t- {{embed [[autodecryptoperation]]}}\n-",536876927]],["^15",[768,"^18","~m1752685264710",536876926]],["^15",[768,"^Z","pages/Server___AutoDiscDecrypt.md",536873041]],["^15",[772,"^Q","#+BEGIN_NOTE\n`/etc/auto-disc-decrypt/server-config`\n#+END_NOTE",536873799]],["^15",[772,"^O","^16",536872376]],["^15",[772,"^F",888,536874393]],["^15",[772,"^X",756,536872376]],["^15",[772,"^V",800,536873802]],["^15",[772,"^U",241,536872379]],["^15",[772,"^U",756,536872379]],["^15",[772,"^?",["^ "],536873799]],["^15",[772,"^;","~u68739fd1-3532-42b4-9a73-06b30367075e",536872376]],["^15",[777,"^Q","### Service config (can be encrypted):",536873024]],["^15",[777,"^O","^16",536872475]],["^15",[777,"^F",800,536873802]],["^15",[777,"^X",756,536872475]],["^15",[777,"^V",767,536872481]],["^15",[777,"^U",241,536872476]],["^15",[777,"^U",756,536872476]],["^15",[777,"^?",["^ ","^1;",3],536873024]],["^15",[777,"^J",["^14",[]],536873024]],["^15",[777,"^;","~u6873a052-54fe-43d6-945e-9c719fcec1df",536872475]],["^15",[779,"^Q","_Listen to request value is filename_",536872548]],["^15",[779,"^O","^16",536872515]],["^15",[779,"^F",777,536872515]],["^15",[779,"^X",756,536872515]],["^15",[779,"^V",777,536872515]],["^15",[779,"^U",241,536873803]],["^15",[779,"^U",756,536873803]],["^15",[779,"^?",["^ "],536872548]],["^15",[779,"^;","~u6873a07d-7756-4333-abd2-6fb82d6c4ab9",536872515]],["^15",[780,"^Q","HTTP",536872561]],["^15",[780,"^O","^16",536872549]],["^15",[780,"^F",866,536874175]],["^15",[780,"^X",756,536872549]],["^15",[780,"^V",866,536874191]],["^15",[780,"^U",241,536874207]],["^15",[780,"^U",756,536874207]],["^15",[780,"^?",["^ "],536873449]],["^15",[780,"^;","~u6873a0db-66f7-4235-8d88-362d2f633bac",536872549]],["^15",[781,"^Q","Methode, Body, URL (+PORT)",536872628]],["^15",[781,"^O","^16",536872561]],["^15",[781,"^F",780,536872561]],["^15",[781,"^X",756,536872561]],["^15",[781,"^V",780,536872563]],["^15",[781,"^U",241,536874207]],["^15",[781,"^U",756,536874207]],["^15",[781,"^?",["^ "],536872628]],["^15",[781,"^;","~u6873a0e9-d580-4aed-9f7f-35c9690ba95b",536872561]],["^15",[784,"^Q","SSH",536872641]],["^15",[784,"^O","^16",536872629]],["^15",[784,"^F",780,536874195]],["^15",[784,"^X",756,536872629]],["^15",[784,"^V",866,536874195]],["^15",[784,"^U",241,536874207]],["^15",[784,"^U",756,536874207]],["^15",[784,"^?",["^ "],536872641]],["^15",[784,"^;","~u6873a113-9b3b-4c88-9fc0-d14251bf958a",536872629]],["^15",[785,"^Q","Target, cmd to exec",536872657]],["^15",[785,"^O","^16",536872644]],["^15",[785,"^F",784,536872644]],["^15",[785,"^X",756,536872644]],["^15",[785,"^V",784,536872648]],["^15",[785,"^U",241,536874207]],["^15",[785,"^U",756,536874207]],["^15",[785,"^?",["^ "],536872657]],["^15",[785,"^;","~u6873a17d-f1ae-4ea5-b108-bfe793af462e",536872644]],["^15",[786,"^Q","On failiure",536872673]],["^15",[786,"^O","^16",536872658]],["^15",[786,"^F",866,536874195]],["^15",[786,"^X",756,536872658]],["^15",[786,"^V",777,536872664]],["^15",[786,"^U",241,536873803]],["^15",[786,"^U",756,536873803]],["^15",[786,"^?",["^ "],536872673]],["^15",[786,"^;","~u6873a188-d0f1-4d8d-a489-8bc81815cff7",536872658]],["^15",[787,"^Q","### On boot:",536873036]],["^15",[787,"^O","^16",536872676]],["^15",[787,"^F",777,536872680]],["^15",[787,"^X",756,536872676]],["^15",[787,"^V",767,536872680]],["^15",[787,"^U",241,536873037]],["^15",[787,"^U",756,536873037]],["^15",[787,"^?",["^ ","^1;",3],536873036]],["^15",[787,"^J",["^14",[]],536873036]],["^15",[787,"^;","~u6873a19a-066e-4daa-b069-2140718b36a3",536872676]],["^15",[788,"^Q","Load APP config",536872699]],["^15",[788,"^O","^16",536872686]],["^15",[788,"^F",787,536872686]],["^15",[788,"^X",756,536872686]],["^15",[788,"^V",787,536872690]],["^15",[788,"^U",241,536873037]],["^15",[788,"^U",756,536873037]],["^15",[788,"^?",["^ "],536872699]],["^15",[788,"^;","~u6873a1c0-ae4c-4d1e-99ea-be230f3b29d5",536872686]],["^15",[789,"^Q","check if service config is encrypted",536872715]],["^15",[789,"^O","^16",536872702]],["^15",[789,"^F",788,536872702]],["^15",[789,"^X",756,536872702]],["^15",[789,"^V",787,536872702]],["^15",[789,"^U",241,536873037]],["^15",[789,"^U",756,536873037]],["^15",[789,"^?",["^ "],536872715]],["^15",[789,"^;","~u6873a1ca-1a80-4ae6-b49d-d8dd02ba6ee3",536872702]],["^15",[790,"^Q","YES: Notify user to enter passkey to enable services",536872750]],["^15",[790,"^O","^16",536872715]],["^15",[790,"^F",789,536872718]],["^15",[790,"^X",756,536872715]],["^15",[790,"^V",789,536872723]],["^15",[790,"^U",241,536873037]],["^15",[790,"^U",756,536873037]],["^15",[790,"^?",["^ "],536872750]],["^15",[790,"^;","~u6873a1d6-cc44-4135-bd25-2fdcf32558b8",536872715]],["^15",[791,"^Q","NO: continue",536872763]],["^15",[791,"^O","^16",536872750]],["^15",[791,"^F",790,536872757]],["^15",[791,"^X",756,536872750]],["^15",[791,"^V",789,536872757]],["^15",[791,"^U",241,536873037]],["^15",[791,"^U",756,536873037]],["^15",[791,"^?",["^ "],536872763]],["^15",[791,"^;","~u6873a1f4-77cb-4624-8988-5cd9e4da3e67",536872750]],["^15",[792,"^Q","try to decrypt",536873064]],["^15",[792,"^O","^16",536872763]],["^15",[792,"^F",794,536872795]],["^15",[792,"^X",756,536872763]],["^15",[792,"^V",794,536873049]],["^15",[792,"^U",241,536873037]],["^15",[792,"^U",756,536873037]],["^15",[792,"^?",["^ "],536873064]],["^15",[792,"^;","~u6873a1fc-2b7c-4b6b-9271-8f51284d0f98",536872763]],["^15",[794,"^Q","Check if any managed still encrypted shares are found",536872833]],["^15",[794,"^O","^16",536872791]],["^15",[794,"^F",789,536872795]],["^15",[794,"^X",756,536872791]],["^15",[794,"^V",787,536872795]],["^15",[794,"^U",241,536873037]],["^15",[794,"^U",756,536873037]],["^15",[794,"^?",["^ "],536872833]],["^15",[794,"^;","~u6873a264-4e48-4739-8031-bf0614e9aec7",536872791]],["^15",[797,"^Q","#+BEGIN_NOTE\n`/etc/auto-disc-decrypt/server/*`\n#+END_NOTE",536872868]],["^15",[797,"^O","^16",536872843]],["^15",[797,"^F",786,536872843]],["^15",[797,"^X",756,536872843]],["^15",[797,"^V",777,536872843]],["^15",[797,"^U",241,536873803]],["^15",[797,"^U",756,536873803]],["^15",[797,"^?",["^ "],536872868]],["^15",[797,"^;","~u6873a2df-12a5-45af-9ebd-0b556d432fb0",536872843]],["^15",[800,"^Q","### APP config:",536873013]],["^15",[800,"^O","^16",536872956]],["^15",[800,"^F",767,536872956]],["^15",[800,"^X",756,536872956]],["^15",[800,"^V",767,536872956]],["^15",[800,"^U",241,536873014]],["^15",[800,"^U",756,536873014]],["^15",[800,"^?",["^ ","^1;",3],536873013]],["^15",[800,"^J",["^14",[]],536873013]],["^15",[800,"^;","~u6873a370-3f38-4875-ab8a-144eddb3d730",536872956]],["^15",[801,"^Q","deployed in OVM or TrueNAS",536872974]],["^15",[801,"^O","^16",536872966]],["^15",[801,"^F",800,536873015]],["^15",[801,"^X",756,536872966]],["^15",[801,"^V",800,536872968]],["^15",[801,"^U",241,536873014]],["^15",[801,"^U",756,536873014]],["^15",[801,"^?",["^ "],536873015]],["^15",[801,"^;","~u6873a376-7248-42b0-bad8-db84ecfc91ec",536872966]],["^15",[802,"^Q","listening port, addresses",536872984]],["^15",[802,"^O","^16",536872977]],["^15",[802,"^F",801,536872977]],["^15",[802,"^X",756,536872977]],["^15",[802,"^V",800,536872977]],["^15",[802,"^U",241,536873014]],["^15",[802,"^U",756,536873014]],["^15",[802,"^?",["^ "],536872984]],["^15",[802,"^;","~u6873a37a-fd12-4171-917c-bf516731a994",536872977]],["^15",[807,"^Q","",536873033]],["^15",[807,"^O","^16",536873033]],["^15",[807,"^@",false,536873033]],["^15",[807,"^?",["^ "],536873033]],["^15",[807,"^;","~u6873a3a8-1990-4566-952e-c67b4378feb6",536873033]],["^15",[808,"^Q","request must be answered wit decryption request token",536873114]],["^15",[808,"^O","^16",536873064]],["^15",[808,"^F",792,536873071]],["^15",[808,"^X",756,536873064]],["^15",[808,"^V",794,536873071]],["^15",[808,"^U",241,536873065]],["^15",[808,"^U",756,536873065]],["^15",[808,"^?",["^ "],536873114]],["^15",[808,"^;","~u6873a44e-cb14-4f03-a667-f619b67c48c2",536873064]],["^15",[810,"^Q","### Operation chart",536873151]],["^15",[810,"^O","^16",536873123]],["^15",[810,"^F",787,536873144]],["^15",[810,"^X",756,536873123]],["^15",[810,"^V",767,536873144]],["^15",[810,"^U",241,536873124]],["^15",[810,"^U",756,536873124]],["^15",[810,"^?",["^ ","^1;",3],536873151]],["^15",[810,"^J",["^14",[]],536873151]],["^15",[810,"^;","~u6873a4f4-26d8-4e42-8bad-d651cec0e7bb",536873123]],["^15",[812,"^Q","POST: `/request/<config server config name>?trigger_key=<access key>` -> request server to start action specified in config\nid:: 6873a504-82a8-420f-9bed-e1cac8ca92c0",536876921]],["^15",[812,"^O","^16",536873151]],["^15",[812,"^F",832,536873590]],["^15",[812,"^X",756,536873151]],["^15",[812,"^V",832,536873597]],["^15",[812,"^U",241,536873415]],["^15",[812,"^U",756,536873415]],["^15",[812,"^?",["^ ","^1D","6873a504-82a8-420f-9bed-e1cac8ca92c0"],536876921]],["^15",[812,"^J",["^14",["^1D"]],536876921]],["^15",[812,"^4",["^ ","^1D","6873a504-82a8-420f-9bed-e1cac8ca92c0"],536876921]],["^15",[812,"^;","~u6873a504-82a8-420f-9bed-e1cac8ca92c0",536873151]],["^15",[815,"^K",1752409429326,536873188]],["^15",[815,"^[",820,536873209]],["^15",[815,"^@",false,536873201]],["^15",[815,"^Y","autodecryptoperation",536873199]],["^15",[815,"^11","autodecryptoperation",536873205]],["^15",[815,"^?",["^ ","~:ls-type","~:whiteboard-page","~:logseq.tldraw.page",["^ ","^1D","6873a555-05bd-4002-8363-beefbd48ce73","~:name","autodecryptoperation","~:bindings",["^ ","~:ed64a4a0-5fe9-11f0-8ac1-09fa603c6c89",["^ 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oder verstandene abstrakte Sachverhalte) verarbeitet und bewusst oder unterbewusst verwendet werden um etwas, mehr oder weniger, neues zu erschaffen. \nBeim eigentlichen Erschaffungsprozess der Kunst sei darüber hinaus die emotionale Lage bzw. Verbindung zum Thema des Kunstschaffenden ausschlaggebend. Wie auch die Fähigkeit des Kritischen beurteilns der eigenen, aber auch fremden Arbeit um eine aenderung/verbesserung anzustreben.",536874936]],["^15",[892,"^O","^16",536874520]],["^15",[892,"^F",913,536876221]],["^15",[892,"^X",346,536874520]],["^15",[892,"^V",913,536876237]],["^15",[892,"^U",4,536874521]],["^15",[892,"^U",298,536874521]],["^15",[892,"^U",346,536874521]],["^15",[892,"^;","~u6877a053-73d3-4931-af18-e85e28187a9d",536874520]],["^15",[893,"^Q","SInd diese Faktoren alleine Ausschlaggebend, so kann durchaus bereits von vorhandener Maschineller Kreativitaet gesprochen werden.",536875866]],["^15",[893,"^O","^16",536874525]],["^15",[893,"^F",897,536875998]],["^15",[893,"^X",346,536874525]],["^15",[893,"^V",913,536876237]],["^15",[893,"^U",4,536874526]],["^15",[893,"^U",298,536874526]],["^15",[893,"^U",346,536874526]],["^15",[893,"^;","~u6877a05c-c651-4aad-8da4-693fe7a7a05c",536874525]],["^15",[894,"^Q","",536874937]],["^15",[894,"^O","^16",536874937]],["^15",[894,"^F",892,536874937]],["^15",[894,"^X",346,536874937]],["^15",[894,"^V",913,536876237]],["^15",[894,"^U",4,536874938]],["^15",[894,"^U",298,536874938]],["^15",[894,"^U",346,536874938]],["^15",[894,"^;","~u6877a612-f27c-457f-9284-c8dd02d88312",536874937]],["^15",[895,"^Q","Vergleichen wir das nun mit der Funktionsweise eines algorithmischen Ai Modells. Wobei allein diese Bezeichnung direkt einen grundlegenden unterschied zur Menschlichen Kunstschaffung hervorhebt. Als \"algorithmisch\" werden Prozesse bezeichnet welche bei wiederholter Ausführung mit exakt gleichen Eingabedaten ein reproduzierbares Ergebnis liefern (z.B. addition Zweier zahlen: `a+b=x`). Es scheint also die Zufälligkeit menschlicher Kreativität nicht gegeben zu sein.\nDoch indirekt kann, allein durch die vielzahl an Eingabeparametern eine scheinzufaelligkeit geschaffen werden, wodurch bei scheinbar gleichen Eingabeparametern immer andere Ausgaben entstehen.",536875342]],["^15",[895,"^O","^16",536874943]],["^15",[895,"^F",894,536874943]],["^15",[895,"^X",346,536874943]],["^15",[895,"^V",913,536876237]],["^15",[895,"^U",4,536874944]],["^15",[895,"^U",298,536874944]],["^15",[895,"^U",346,536874944]],["^15",[895,"^;","~u6877a612-bb6d-4928-b4b7-ca72569b306d",536874943]],["^15",[897,"^Q","Als gossen Teil der Kreativität wurde das re-interpretieren und kombinieren von bestehenden definiert. Betrachtet man, nun ein Bild generierendes GAN (Generative adversarial network) modell, welche zuvor mit Millionen an kategorisierten Bildern und eingeordneten Daten trainiert wurde faelt auf, das eben jener Trainingsprozess, dem künstlichen Modell lediglich die selben Möglichkeiten gibt, wie der Mensch sie durch das blosse leben hat: Die sammlung Referenzdaten. Ebenso ist die Generation eines neuen Bildes lediglich das Transformieren und Zusammenfuegen von Eigenschaften der Refferenzdaten, wie auch ein Mensch es machen wuerde.",536875993]],["^15",[897,"^O","^16",536875342]],["^15",[897,"^F",895,536875342]],["^15",[897,"^X",346,536875342]],["^15",[897,"^V",913,536876237]],["^15",[897,"^U",4,536875343]],["^15",[897,"^U",298,536875343]],["^15",[897,"^U",346,536875343]],["^15",[897,"^;","~u6877b1a1-0ca0-4c4c-9958-c98a0e6b12f4",536875342]],["^15",[898,"^U",4,536875409]],["^15",[898,"^U",298,536875409]],["^15",[898,"^U",346,536875409]],["^15",[899,"^Q","Zaehlt man jedoch die emotionen eines kuentztlers als ausschlaggebend fuer die effizientz von Kreativitaet so beginnt die heutige Technologie zu broeckeln. Ein angelerntes modell kann zwar das Konzept von emotionen ebenso wie das aussehen einer Katze beigebracht bekommen und entsprechende emotionale Reaktionen aus dem training kopieren, jedoch nie selbst fühlen. Eben so wenig ist es in der Lage sich eigenstaendig uber dal Nievaeu des Datensatzes mit dem es trainiert wurde zu verbessern, so mag es das Aussehen vom Minimalsimus kennen, jedoch nicht in der Lage sein ein dreieck mit einem Seckseck auszutatschen sollte es nie mit einem Sechseck trainiert worden sein.***",536875866]],["^15",[899,"^O","^16",536875866]],["^15",[899,"^F",893,536875866]],["^15",[899,"^X",346,536875866]],["^15",[899,"^V",913,536876237]],["^15",[899,"^U",4,536875866]],["^15",[899,"^U",298,536875866]],["^15",[899,"^U",346,536875866]],["^15",[899,"^;","~u6877b4b8-cf1d-4fd5-bcc2-1e6dbe98951c",536875866]],["^15",[900,"^Q","",536875707]],["^15",[900,"^O","^16",536875707]],["^15",[900,"^F",903,536875814]],["^15",[900,"^X",346,536875707]],["^15",[900,"^V",376,536875707]],["^15",[900,"^U",4,536875708]],["^15",[900,"^U",298,536875708]],["^15",[900,"^U",346,536875708]],["^15",[900,"^;","~u6877b58c-3439-4646-bb2d-1d28829dae22",536875707]],["^15",[902,"^Q","",536875812]],["^15",[902,"^O","^16",536875812]],["^15",[902,"^F",910,536876178]],["^15",[902,"^X",346,536875812]],["^15",[902,"^V",376,536875812]],["^15",[902,"^U",4,536875813]],["^15",[902,"^U",298,536875813]],["^15",[902,"^U",346,536875813]],["^15",[902,"^;","~u6877b76a-5b48-4362-9e2c-4dd03d3baf54",536875812]],["^15",[903,"^Q","*** vereinfachtes Bespiel; kann durchaus möglich sein, sind andere Gegebenheiten erlullt",536875851]],["^15",[903,"^O","^16",536875814]],["^15",[903,"^F",902,536875814]],["^15",[903,"^X",346,536875814]],["^15",[903,"^V",376,536875814]],["^15",[903,"^U",4,536875815]],["^15",[903,"^U",298,536875815]],["^15",[903,"^U",346,536875815]],["^15",[903,"^;","~u6877b76b-7145-4b8d-a5e0-78b4c52424f9",536875814]],["^15",[904,"^Q","Dabei auch Spannend: Eben so wie menschliche schlussfogerungen (noch) nicht wissenschaftlich Nachvolzogen werden koennen, eben so abstrakt sind die generationsprozesse einer Kuenstlichen intelegenz.",536876048]],["^15",[904,"^O","^16",536875996]],["^15",[904,"^F",906,536876061]],["^15",[904,"^X",346,536875996]],["^15",[904,"^V",897,536875998]],["^15",[904,"^U",4,536876238]],["^15",[904,"^U",298,536876238]],["^15",[904,"^U",346,536876238]],["^15",[904,"^;","~u6877b931-256e-4841-9154-ef76a43dfda2",536875996]],["^15",[906,"^Q","Man könnte also auch von einer emulativen Kunst (ähnlich wie dem Morphing oder Remixen) sprechen, betrachtet man ein AI generiertes Bild.",536876134]],["^15",[906,"^O","^16",536876055]],["^15",[906,"^F",897,536876055]],["^15",[906,"^X",346,536876055]],["^15",[906,"^V",897,536876055]],["^15",[906,"^U",4,536876238]],["^15",[906,"^U",298,536876238]],["^15",[906,"^U",346,536876238]],["^15",[906,"^;","~u6877b98c-8f1d-4834-a723-8aada2266820",536876055]],["^15",[908,"^Q","",536876151]],["^15",[908,"^O","^16",536876151]],["^15",[908,"^F",913,536876364]],["^15",[908,"^X",346,536876151]],["^15",[908,"^V",376,536876151]],["^15",[908,"^U",4,536876152]],["^15",[908,"^U",298,536876152]],["^15",[908,"^U",346,536876152]],["^15",[908,"^;","~u6877ba22-e23d-484c-960a-588da119f705",536876151]],["^15",[910,"^Q","**Leitfragen**",536876171]],["^15",[910,"^O","^16",536876155]],["^15",[910,"^F",979,536878647]],["^15",[910,"^X",346,536876155]],["^15",[910,"^V",376,536876155]],["^15",[910,"^U",4,536876156]],["^15",[910,"^U",298,536876156]],["^15",[910,"^U",346,536876156]],["^15",[910,"^;","~u6877ba23-80ca-4102-9961-3d505d7c0bd9",536876155]],["^15",[911,"^Q","Stimmt ihr mit der deffinition von Kreativitaet ueberein?",536876187]],["^15",[911,"^O","^16",536876174]],["^15",[911,"^F",910,536876174]],["^15",[911,"^X",346,536876174]],["^15",[911,"^V",910,536876178]],["^15",[911,"^U",4,536876175]],["^15",[911,"^U",298,536876175]],["^15",[911,"^U",346,536876175]],["^15",[911,"^;","~u6877ba2e-90f7-4aeb-964b-d7c50e0c11b9",536876174]],["^15",[912,"^Q","Sollten wir nur \"kreative\" Kunst verwenden?",536876218]],["^15",[912,"^O","^16",536876187]],["^15",[912,"^F",911,536876187]],["^15",[912,"^X",346,536876187]],["^15",[912,"^V",910,536876187]],["^15",[912,"^U",4,536876188]],["^15",[912,"^U",298,536876188]],["^15",[912,"^U",346,536876188]],["^15",[912,"^;","~u6877ba3c-135f-4590-a556-08b05ac8f1b4",536876187]],["^15",[913,"^Q","Kreatitaet und Kunst",536876234]],["^15",[913,"^O","^16",536876221]],["^15",[913,"^F",356,536876221]],["^15",[913,"^X",346,536876221]],["^15",[913,"^V",376,536876221]],["^15",[913,"^U",4,536876222]],["^15",[913,"^U",298,536876222]],["^15",[913,"^U",346,536876222]],["^15",[913,"^;","~u6877bab7-ea67-445f-814a-2625af5fb24b",536876221]],["^15",[916,"^Q","Kooperation Mensch - Maschiene",536876374]],["^15",[916,"^O","^16",536876368]],["^15",[916,"^F",945,536877177]],["^15",[916,"^X",346,536876368]],["^15",[916,"^V",991,536878647]],["^15",[916,"^U",4,536876373]],["^15",[916,"^U",298,536876373]],["^15",[916,"^U",346,536876373]],["^15",[916,"^;","~u6877b76a-2875-4e59-8c25-5d897238e2d0",536876374]],["^15",[917,"^Q","Doch bedenken wir, das es durchaus verschiedene arten der Nutzung von Kuenstlicher intelegenz in Kunstwerken, oder jeglichen weiteren Anwendungsgebiten gibt, welche deferenziert betrachtet werden sollten:",536876965]],["^15",[917,"^O","^16",536876374]],["^15",[917,"^F",916,536876374]],["^15",[917,"^X",346,536876374]],["^15",[917,"^V",916,536876374]],["^15",[917,"^U",4,536877178]],["^15",[917,"^U",298,536877178]],["^15",[917,"^U",346,536877178]],["^15",[917,"^;","~u6877bad3-4074-45ec-aac9-44fdb0fe4bdb",536876374]],["^15",[921,"^Q","Hat AI alleine das Endresultat generiert?",536876489]],["^15",[921,"^O","^16",536876472]],["^15",[921,"^F",917,536876965]],["^15",[921,"^X",346,536876472]],["^15",[921,"^V",917,536876965]],["^15",[921,"^U",4,536877178]],["^15",[921,"^U",298,536877178]],["^15",[921,"^U",346,536877178]],["^15",[921,"^;","~u6877bc87-19e0-4b69-9998-fa6670dba424",536876472]],["^15",[922,"^Q","Wurde ein generell verwendbares, Multifunktionales Ai Modell verwendet?",536876523]],["^15",[922,"^O","^16",536876490]],["^15",[922,"^F",921,536876490]],["^15",[922,"^X",346,536876490]],["^15",[922,"^V",921,536876496]],["^15",[922,"^U",4,536877178]],["^15",[922,"^U",298,536877178]],["^15",[922,"^U",346,536877178]],["^15",[922,"^;","~u6877bc96-66b5-48df-8d45-95dbc9ebff9f",536876490]],["^15",[925,"^Q","Generell sollte immer volgendes bedacht werden:",536876573]],["^15",[925,"^O","^16",536876549]],["^15",[925,"^F",934,536876817]],["^15",[925,"^X",346,536876549]],["^15",[925,"^V",917,536876965]],["^15",[925,"^U",4,536877178]],["^15",[925,"^U",298,536877178]],["^15",[925,"^U",346,536877178]],["^15",[925,"^;","~u6877bcc6-3b80-48c2-9db4-b508495657fa",536876549]],["^15",[927,"^Q","war das verwendete modell Quelloffen",536876590]],["^15",[927,"^O","^16",536876578]],["^15",[927,"^F",925,536876578]],["^15",[927,"^X",346,536876578]],["^15",[927,"^V",925,536876582]],["^15",[927,"^U",4,536877178]],["^15",[927,"^U",298,536877178]],["^15",[927,"^U",346,536877178]],["^15",[927,"^;","~u6877bcd7-03b1-4b5e-b5c2-a148178caa48",536876578]],["^15",[928,"^Q","(ist ueberhaupt bekannt?) wie wurden die Trainingsdaten bezogen?",536876615]],["^15",[928,"^O","^16",536876591]],["^15",[928,"^F",927,536876591]],["^15",[928,"^X",346,536876591]],["^15",[928,"^V",925,536876591]],["^15",[928,"^U",4,536877178]],["^15",[928,"^U",298,536877178]],["^15",[928,"^U",346,536877178]],["^15",[928,"^;","~u6877bcdf-8e81-4353-910e-9dfe6f5ff5c1",536876591]],["^15",[930,"^Q","Hat der Ersteller ein modell eztra dafuaer selbst Trainiert/ein bestehendes veraendert?",536876647]],["^15",[930,"^O","^16",536876622]],["^15",[930,"^F",922,536876622]],["^15",[930,"^X",346,536876622]],["^15",[930,"^V",921,536876622]],["^15",[930,"^U",4,536877178]],["^15",[930,"^U",298,536877178]],["^15",[930,"^U",346,536877178]],["^15",[930,"^;","~u6877bcfe-dd30-41d9-aab9-c57dd391653d",536876622]],["^15",[931,"^Q","Gab es eine ko-kreativitaet?",536876661]],["^15",[931,"^O","^16",536876647]],["^15",[931,"^F",921,536876651]],["^15",[931,"^X",346,536876647]],["^15",[931,"^V",917,536876965]],["^15",[931,"^U",4,536877178]],["^15",[931,"^U",298,536877178]],["^15",[931,"^U",346,536877178]],["^15",[931,"^;","~u6877bd21-7ed8-4d25-b6ce-0b72f23f40e0",536876647]],["^15",[932,"^Q","Hat der Ersteller immer wider geziehlt veranderungen am Produkt durchfuehren lassen um zum endergebniss zu kommen?",536876705]],["^15",[932,"^O","^16",536876661]],["^15",[932,"^F",931,536876661]],["^15",[932,"^X",346,536876661]],["^15",[932,"^V",931,536876663]],["^15",[932,"^U",4,536877178]],["^15",[932,"^U",298,536877178]],["^15",[932,"^U",346,536877178]],["^15",[932,"^;","~u6877bd43-4897-41db-a1ce-368350ec4d2a",536876661]],["^15",[933,"^Q","Staerken die einfluesse/der Bias des Ai modells die Aussagekraft des Produktes? (Ahnlich wie die Ko-kreativitaet zwischen Tier und mensch, lauft ein tire in einen Farbeimer und anschliesend ueber ein gemaelde)?",536876795]],["^15",[933,"^O","^16",536876705]],["^15",[933,"^F",932,536876705]],["^15",[933,"^X",346,536876705]],["^15",[933,"^V",931,536876705]],["^15",[933,"^U",4,536877178]],["^15",[933,"^U",298,536877178]],["^15",[933,"^U",346,536877178]],["^15",[933,"^;","~u6877bdb6-0590-45c7-b5d4-bb5d29c6f37a",536876705]],["^15",[934,"^Q","Wurde AI lediglich als werkzeug verwendet?",536876815]],["^15",[934,"^O","^16",536876795]],["^15",[934,"^F",931,536876799]],["^15",[934,"^X",346,536876795]],["^15",[934,"^V",917,536876965]],["^15",[934,"^U",4,536877178]],["^15",[934,"^U",298,536877178]],["^15",[934,"^U",346,536877178]],["^15",[934,"^;","~u6877be16-249d-4c9b-be59-7f3005049c88",536876795]],["^15",[935,"^Q","Spielte es eine vergleichbare rolle wie in Bildmanipulationsprogramm in der \"klassischen\" Digitalen Kunst?",536876847]],["^15",[935,"^O","^16",536876815]],["^15",[935,"^F",934,536876815]],["^15",[935,"^X",346,536876815]],["^15",[935,"^V",934,536876817]],["^15",[935,"^U",4,536877178]],["^15",[935,"^U",298,536877178]],["^15",[935,"^U",346,536877178]],["^15",[935,"^;","~u6877be36-cdb4-4aea-b87b-d95230a6f3c4",536876815]],["^15",[936,"^12",2,536876855]],["^15",[937,"^12",2,536876864]],["^15",[938,"^K",1752685085237,536876867]],["^15",[938,"^@",false,536876867]],["^15",[938,"^Y","journals",536876867]],["^15",[938,"^11","Journals",536876867]],["^15",[938,"^B",1752685085237,536876867]],["^15",[938,"^;","~u6877da1d-9584-4e12-8af5-354d046b4f0e",536876867]],["^15",[939,"^12",2,536876929]],["^15",[940,"^K",1752757530966,536876930]],["^15",[940,"^O","^16",536876930]],["^15",[940,"^N",20250717,536876930]],["^15",[940,"^@",true,536876930]],["^15",[940,"^Y","2025/07/17",536876930]],["^15",[940,"^A",19,536876930]],["^15",[940,"^11","2025/07/17",536876930]],["^15",[940,"^B",1752757530966,536876930]],["^15",[940,"^;","~u6878f51a-28c4-4f1c-9107-a51ec2ecd7f0",536876930]],["^15",[941,"^Q","",536876931]],["^15",[941,"^O","^16",536876931]],["^15",[941,"^N",20250717,536876931]],["^15",[941,"^@",true,536876931]],["^15",[941,"^F",940,536876931]],["^15",[941,"^X",940,536876931]],["^15",[941,"^V",940,536876931]],["^15",[941,"^U",940,536876932]],["^15",[941,"^?",["^ "],536876931]],["^15",[941,"^;","~u6878f51a-d5b9-4b17-81c9-8b218dd51bec",536876931]],["^15",[944,"^Q","Betrachtet man das Problem des Urheberrechts im Bezug auf Kuenstliche Inteltgenz muss zwischen zwei verschiedenen bereichen unterschieden werden;",536878665]],["^15",[944,"^O","^16",536876968]],["^15",[944,"^F",991,536878647]],["^15",[944,"^X",346,536876968]],["^15",[944,"^V",991,536878647]],["^15",[944,"^U",4,536876969]],["^15",[944,"^U",298,536876969]],["^15",[944,"^U",346,536876969]],["^15",[944,"^?",["^ "],536878665]],["^15",[944,"^;","~u6878f651-76ef-48d3-90ab-3a2d24afcea5",536876968]],["^15",[945,"^Q","Auswirkung auf die 'klassische' Kunst-comunity und Autor*in",536877181]],["^15",[945,"^O","^16",536876970]],["^15",[945,"^F",944,536877145]],["^15",[945,"^X",346,536876970]],["^15",[945,"^V",991,536878647]],["^15",[945,"^U",4,536876971]],["^15",[945,"^U",298,536876971]],["^15",[945,"^U",346,536876971]],["^15",[945,"^;","~u6878f651-83e6-4a6d-8048-2434bfa8f256",536876970]],["^15",[946,"^Q","Welches Material darf, wie, zum Trainieren eines AI Modells genutzt werden?\nlogseq.order-list-type:: number",536877125]],["^15",[946,"^O","^16",536877025]],["^15",[946,"^F",944,536877025]],["^15",[946,"^X",346,536877025]],["^15",[946,"^V",944,536877029]],["^15",[946,"^U",4,536878666]],["^15",[946,"^U",298,536878666]],["^15",[946,"^U",346,536878666]],["^15",[946,"^?",["^ ","^1C","number"],536878647]],["^15",[946,"^J",["^1C"],536878647]],["^15",[946,"^4",["^ ","^1C","number"],536878647]],["^15",[946,"^;","~u6878f739-5bf6-403b-ba3b-31b55e069ad5",536877025]],["^15",[947,"^Q","Wer ist der Autor von einem AI generierten Produkt?\nlogseq.order-list-type:: number",536877108]],["^15",[947,"^O","^16",536877077]],["^15",[947,"^F",946,536877115]],["^15",[947,"^X",346,536877077]],["^15",[947,"^V",944,536877077]],["^15",[947,"^U",4,536878666]],["^15",[947,"^U",298,536878666]],["^15",[947,"^U",346,536878666]],["^15",[947,"^?",["^ ","^1C","number"],536878647]],["^15",[947,"^J",["^1C"],536878647]],["^15",[947,"^4",["^ ","^1C","number"],536878647]],["^15",[947,"^;","~u6878f772-9943-47c0-a283-c82c9966b0cd",536877077]],["^15",[948,"^Q","",536877118]],["^15",[948,"^O","^16",536877111]],["^15",[948,"^F",946,536877111]],["^15",[948,"^X",346,536877111]],["^15",[948,"^V",946,536877115]],["^15",[948,"^U",4,536878666]],["^15",[948,"^U",298,536878666]],["^15",[948,"^U",346,536878666]],["^15",[948,"^;","~u6878f78b-da83-4c61-8686-2db38c68fac5",536877111]],["^15",[949,"^Q","Fuer viele Kunstschaffenden sorgt ein sicheres Urheberrecht für die Wertschätzung die sie verdienen, auch durch entsprechende Entlohnung sollten dritte durch die Verwendung ihres Werkes profitieren. Dies schafft überhaupt erst den Anreiz das Werk zu erschaffen, über die lose Idee hinaus zu gehen. Obgleich man großen Unternehmen wie Nintendo, Niantic oder Disney einen fragwürdigen Umgang bis zum missbrauch des Urheberrechts u.a. durch das verhindern von Comunity geführten Projekten vorwerfen kann, muss die Sinnhaftigkeit des Urheberrechts, gerade für Einzelpersonen bedacht bleiben.\nDaher sollte es kritisch betrachtet werden, wenn AI die zunehmende Nichtigkeit des digitalen Besitztumes weiter vorantreibt. Indem sie in der Lage ist, ganze Style einzelner Künstler nach zu ahmen. In einer weise, die anders als bei der Appropriations Kunst nicht den Kopiervorgang selbst in den Mittelpunkt stellt sondern das Endergebnis.",536878647]],["^15",[949,"^O","^16",536877173]],["^15",[949,"^F",945,536877173]],["^15",[949,"^X",346,536877173]],["^15",[949,"^V",945,536877177]],["^15",[949,"^U",4,536877182]],["^15",[949,"^U",298,536877182]],["^15",[949,"^U",346,536877182]],["^15",[949,"^;","~u6878f822-3a9e-4ade-9901-642793656318",536877173]],["^15",[955,"^U",4,536877933]],["^15",[955,"^U",298,536877933]],["^15",[955,"^U",346,536877933]],["^15",[956,"^U",4,536878274]],["^15",[956,"^U",298,536878274]],["^15",[956,"^U",346,536878274]],["^15",[957,"^Q","Andersherum muss auch bedachte werden das Ai wie auch die meisten zuvor kommenden Technologien die menschen, gerade jene in ärmeren Gesellschaftsschichten, befähigt. Das Telefon ermöglichte eine echt-zeit Kommunikation, ohne einen Boten schicken zu müssen, das Internet ermöglichte den freien Zugang zu wissen über unzählige Teilgebiete und nun ermöglicht die Künstliche Intelligenz Einzelpersonen eine spezialisierte, wenn auch imperfekte, Arbeitskraft zu imitieren.",536878610]],["^15",[957,"^O","^16",536878281]],["^15",[957,"^F",993,536878647]],["^15",[957,"^X",346,536878281]],["^15",[957,"^V",945,536878281]],["^15",[957,"^U",4,536878282]],["^15",[957,"^U",298,536878282]],["^15",[957,"^U",346,536878282]],["^15",[957,"^;","~u68790968-e239-446b-9d92-67cdb1340ffc",536878281]],["^15",[958,"^Q","OLD:",536878647]],["^15",[958,"^O","^16",536878614]],["^15",[958,"^F",916,536878647]],["^15",[958,"^X",346,536878614]],["^15",[958,"^V",991,536878647]],["^15",[958,"^U",4,536878647]],["^15",[958,"^U",298,536878647]],["^15",[958,"^U",346,536878624]],["^15",[958,"^;","~u68790d30-39f3-4568-beb8-d13ff65fcde4",536878614]],["^15",[960,"^12",2,536878635]],["^15",[961,"^12",2,536878640]],["^15",[962,"^K",1753096750225,536878641]],["^15",[962,"^O","^16",536878641]],["^15",[962,"^N",20250721,536878641]],["^15",[962,"^@",true,536878641]],["^15",[962,"^Y","2025/07/21",536878641]],["^15",[962,"^A",19,536878641]],["^15",[962,"^11","2025/07/21",536878641]],["^15",[962,"^B",1753096750225,536878641]],["^15",[962,"^;","~u687e222e-a654-4365-8615-3a28d917c743",536878641]],["^15",[963,"^Q","",536878642]],["^15",[963,"^O","^16",536878642]],["^15",[963,"^N",20250721,536878642]],["^15",[963,"^@",true,536878642]],["^15",[963,"^F",962,536878642]],["^15",[963,"^X",962,536878642]],["^15",[963,"^V",962,536878642]],["^15",[963,"^U",962,536878643]],["^15",[963,"^?",["^ "],536878642]],["^15",[963,"^;","~u687e222e-42a1-447f-95bd-e10cf96174d3",536878642]],["^15",[964,"^3","- https://open-access.network/informieren/open-access-in-fachdisziplinen/kuenstlerische-faecher\n  https://www.museum.de/blog/open-access-zugang-zu-oeffentlichen-bildern-aus-museen/\n  https://de.wikipedia.org/wiki/Appropriation_Art\n  https://www.zeit.de/digital/internet/2024-11/ki-musik-spotify-streaming-plattform\n  https://www.bigtechnology.com/p/spotifys-plans-for-ai-generated-music\n-\n- TODO Urheber eines KI Generierten werkes: Nach\n\t- US Copyright Office Bericht\n\t\t- Kein anspruch auf Copyright wenn volständig mit KI generiert wurde\n\t\t- (teilweise) Anspruch wenn Kokreation, Menschliche/Maschinelle Arbeit müssen voneinander trennbar sein\n\t- https://iartificial.blog/de/Automatisierung/Urheberrecht-im-Zeitalter-der-KI,-wer-der-wahre-Autor-ist/\n\t- https://www.derstandard.de/story/2000144311970/wer-ist-urheber-eines-ki-werkes\n\t\t- EU richtlinien, Copyright Ai?\n\t- Nach EU:\n\t\t- https://www.iit-berlin.de/wp-content/uploads/2025/02/2025-03-iit-perspektive-Urheberrecht_KI_Beitraege_V05.pdf\n\t\t- Schopfung von Medien kann reihc menschlicher verdienst sein, d.h. kein Urheberrecht fuer Ki generationen\n\t\t\t- jene Autoren mit welchen das Modell trainiert wurde haben auch kein Urheberrecht an generierten bildern, es findet keine kopier/reproduziervorgang statt\n\t\t\t- Anweisungen welche an AI gegeben werden nicht urheberrechtlich geschutzt, Anweisender Nutzer gibt AI lediglich befehle > hat auch kein Urheberrecht\n\t\t\t- Entwichler der Modelle haben selbst auch kein recht am generierten werk, sie schufen lediglich die Logik mit jener eine generation erfolgte\n\t\t- Mass durch mindestmass an kreativer Originalitaet/persönliche geistige Schöpfungen eines Menschen kann Urheberecht entstehen (mindestmass ist einzelfall abhaenig, jedoch ist das blosse kuerzen oder umformulieren nicht schuetzbar)\n\t- https://www.din.de/resource/blob/1142062/df54d68d11749518302993d7976222a5/open-session-rechtliche-dimensionen-von-ki-data.pdf\n\t- EU-Urheberrecht noch keine expliziete Gesetzesgrundlage\n\t\t- EuGh: Persoenlichketi des Autors muss widergespiegelt werden, ergebniss der geistigen Schoepfung des Urhebers\n\t\t- Unterscheliche Deutung zu vorherigen: Schutz moeglich wenn Prompt und Output originell sind > d.h. personlichkeit des Autors iwderspiegelt\n\t\t\t- kein schutz wenn: Referenzfoto, stylwahl > output; ausslieslich Ki Kreative Entscheidung getroffen hat\n\t\t\t- Schutz wenn: idee, eigenen Prompt verfasst (d.h. Mensch ausreichend kreative Entscheidungen getroffen hat) > outputt\n\t- Urheberrechtsverletzung KI output\n\t\t- Liegt vor wenn: KI eine kopie oder widererkennabres werk des originals erstellt und das Original im trainingsdatensatz vorhanden ist\n\t\t\t- zufaelige doppelschopfungen sind keine Urheberrechtsverlaetzung (muss gezeigt werden das Original nicht im Trainingsdatensatz)\n\t-\n- Urheberrecht Training der AI\n\t- Erneut keine expliziete gesetzesgrunbdlage, angenommen Urhebergesetz ueber Datamining greift\n\t- Auch Urheberrechtlich geschuetzte Daten durefen zum training verwendet werden, solange: kein einspruch, in maschienenlesbarer Form vorliegt, die inhalte Rechtmaesig im Internet stehen, keine Zugangskontrolierenden massnahmen umgangen werden",536879436]],["^15",[964,"^17",1753096750866,536878644]],["^15",[964,"^18","~m1753102790161",536879435]],["^15",[964,"^Z","pages/Urheberrecht %23Note.md",536879013]],["^15",[965,"^K",1753096750864,536878644]],["^15",[965,"^[",964,536878644]],["^15",[965,"^@",false,536878644]],["^15",[965,"^Y","urheberrecht #note",536879012]],["^15",[965,"^11","Urheberrecht #Note",536879012]],["^15",[965,"^B",1753102789463,536879434]],["^15",[965,"^;","~u687e222e-f5e4-45c4-ab2b-415cdd0c98f6",536878647]],["^15",[966,"^Q","https://iartificial.blog/de/Automatisierung/Urheberrecht-im-Zeitalter-der-KI,-wer-der-wahre-Autor-ist/",536878644]],["^15",[966,"^O","^16",536878644]],["^15",[966,"^F",998,536878706]],["^15",[966,"^X",965,536878644]],["^15",[966,"^V",975,536878644]],["^15",[966,"^U",4,536878693]],["^15",[966,"^U",965,536878693]],["^15",[966,"^;","~u687e222e-95bd-4472-8c73-bb54e72aa3e0",536878644]],["^15",[968,"^Q","Kein anspruch auf Copyright wenn volständig mit KI generiert wurde",536878644]],["^15",[968,"^O","^16",536878644]],["^15",[968,"^F",998,536878696]],["^15",[968,"^X",965,536878644]],["^15",[968,"^V",998,536878703]],["^15",[968,"^U",4,536878693]],["^15",[968,"^U",965,536878693]],["^15",[968,"^;","~u687e222e-3536-4d05-94aa-00bb22b8e27c",536878644]],["^15",[969,"^Q","",536878644]],["^15",[969,"^O","^16",536878644]],["^15",[969,"^F",973,536878644]],["^15",[969,"^X",965,536878644]],["^15",[969,"^V",965,536878644]],["^15",[969,"^U",965,536878644]],["^15",[969,"^;","~u687e222e-0188-426a-af72-cc30d9e71365",536878644]],["^15",[972,"^Q","(teilweise) Anspruch wenn Kokreation, Menschliche/Maschinelle Arbeit müssen voneinander trennbar sein",536878644]],["^15",[972,"^O","^16",536878644]],["^15",[972,"^F",968,536878706]],["^15",[972,"^X",965,536878644]],["^15",[972,"^V",998,536878706]],["^15",[972,"^U",4,536878693]],["^15",[972,"^U",965,536878693]],["^15",[972,"^;","~u687e222e-5114-4b09-84a3-e14eab22483d",536878644]],["^15",[973,"^Q","https://open-access.network/informieren/open-access-in-fachdisziplinen/kuenstlerische-faecher\nhttps://www.museum.de/blog/open-access-zugang-zu-oeffentlichen-bildern-aus-museen/\nhttps://de.wikipedia.org/wiki/Appropriation_Art\nhttps://www.zeit.de/digital/internet/2024-11/ki-musik-spotify-streaming-plattform\nhttps://www.bigtechnology.com/p/spotifys-plans-for-ai-generated-music",536878644]],["^15",[973,"^O","^16",536878644]],["^15",[973,"^F",965,536878644]],["^15",[973,"^X",965,536878644]],["^15",[973,"^V",965,536878644]],["^15",[973,"^U",965,536878644]],["^15",[973,"^;","~u687e222e-245a-4f56-8dc3-885145993206",536878644]],["^15",[974,"^Q","EU richtlinien, Copyright Ai?",536878644]],["^15",[974,"^O","^16",536878644]],["^15",[974,"^F",976,536878644]],["^15",[974,"^X",965,536878644]],["^15",[974,"^V",976,536878644]],["^15",[974,"^U",4,536878693]],["^15",[974,"^U",965,536878693]],["^15",[974,"^;","~u687e222e-2dc6-4871-9641-8e17d6e93d86",536878644]],["^15",[975,"^Q","TODO Urheber eines KI Generierten werkes: Nach",536878692]],["^15",[975,"^O","^16",536878644]],["^15",[975,"^F",969,536879009]],["^15",[975,"^10","TODO",536879009]],["^15",[975,"^X",965,536878644]],["^15",[975,"^V",965,536878644]],["^15",[975,"^U",4,536878644]],["^15",[975,"^U",965,536878644]],["^15",[975,"^?",["^ "],536879009]],["^15",[975,"^H",4,536879009]],["^15",[975,"^;","~u687e222e-9ce9-4dbd-9606-cf58bb5b33a8",536878644]],["^15",[976,"^Q","https://www.derstandard.de/story/2000144311970/wer-ist-urheber-eines-ki-werkes",536878644]],["^15",[976,"^O","^16",536878644]],["^15",[976,"^F",966,536878644]],["^15",[976,"^X",965,536878644]],["^15",[976,"^V",975,536878644]],["^15",[976,"^U",4,536878693]],["^15",[976,"^U",965,536878693]],["^15",[976,"^;","~u687e222e-5cbb-4d25-9763-6c9d768c607f",536878644]],["^15",[978,"^Q","Da diese Technologie nicht verboten werden kann, braucht es eine Neudefinition des Begriffes Kunst, was es bedeutet Autor\\*in zu sein. Eine Definition die das leben Kunstschaffender sichert und sie nicht in kapitalistischer Manier durch massen an syntetischen Werken weg rationalisiert. Das ist eine gesamtgesellschaftliche Aufgabe.",536878647]],["^15",[978,"^O","^16",536878647]],["^15",[978,"^F",958,536878647]],["^15",[978,"^X",346,536878647]],["^15",[978,"^V",958,536878647]],["^15",[978,"^U",4,536878647]],["^15",[978,"^U",298,536878647]],["^15",[978,"^U",346,536878647]],["^15",[978,"^;","~u687e222e-8ea0-4c06-8496-178e4f58a126",536878647]],["^15",[979,"^Q","",536878647]],["^15",[979,"^O","^16",536878647]],["^15",[979,"^F",908,536878647]],["^15",[979,"^X",346,536878647]],["^15",[979,"^V",376,536878647]],["^15",[979,"^U",4,536878647]],["^15",[979,"^U",298,536878647]],["^15",[979,"^U",346,536878647]],["^15",[979,"^;","~u687e222e-7014-4bf1-8fe6-bb497227f1ac",536878647]],["^15",[980,"^Q","https://www.gamingonlinux.com/2023/11/gnome-gets-1m-funding-from-the-sovereign-tech-fund/",536878647]],["^15",[980,"^O","^16",536878647]],["^15",[980,"^F",988,536878647]],["^15",[980,"^X",346,536878647]],["^15",[980,"^V",988,536878647]],["^15",[980,"^U",4,536878647]],["^15",[980,"^U",298,536878647]],["^15",[980,"^U",346,536878647]],["^15",[980,"^;","~u687e222e-7d32-4932-8e22-29d07fd83d91",536878647]],["^15",[981,"^Q","",536878647]],["^15",[981,"^O","^16",536878647]],["^15",[981,"^F",947,536878647]],["^15",[981,"^X",346,536878647]],["^15",[981,"^V",947,536878647]],["^15",[981,"^U",4,536878666]],["^15",[981,"^U",298,536878666]],["^15",[981,"^U",346,536878666]],["^15",[981,"^;","~u687e222e-e375-47d9-b165-015501f70e7c",536878647]],["^15",[982,"^Q","",536878647]],["^15",[982,"^O","^16",536878647]],["^15",[982,"^F",985,536878647]],["^15",[982,"^X",346,536878647]],["^15",[982,"^V",346,536878647]],["^15",[982,"^U",346,536878647]],["^15",[982,"^;","~u687e222e-1eee-493d-ad43-129a6765b972",536878647]],["^15",[983,"^Q","https://www.tu.berlin/ub/forschen-publizieren/wissenswertes-fuer-autorinnen/rechtliche-fragen",536878647]],["^15",[983,"^O","^16",536878647]],["^15",[983,"^F",992,536878647]],["^15",[983,"^X",346,536878647]],["^15",[983,"^V",988,536878647]],["^15",[983,"^U",4,536878647]],["^15",[983,"^U",298,536878647]],["^15",[983,"^U",346,536878647]],["^15",[983,"^;","~u687e222e-b742-499a-9d45-b719e0a0454c",536878647]],["^15",[984,"^Q","",536878647]],["^15",[984,"^O","^16",536878647]],["^15",[984,"^F",988,536878647]],["^15",[984,"^X",346,536878647]],["^15",[984,"^V",991,536878647]],["^15",[984,"^U",4,536878647]],["^15",[984,"^U",298,536878647]],["^15",[984,"^U",346,536878647]],["^15",[984,"^;","~u687e222e-95ec-4b7a-acff-4ea40f78f357",536878647]],["^15",[985,"^Q","",536878647]],["^15",[985,"^O","^16",536878647]],["^15",[985,"^F",991,536878647]],["^15",[985,"^X",346,536878647]],["^15",[985,"^V",346,536878647]],["^15",[985,"^U",346,536878647]],["^15",[985,"^;","~u687e222e-d531-4091-b1ec-a38fe8f1f30c",536878647]],["^15",[986,"^Q","Zudem ist zu bedenken das der neoliberale Kapitalismus, was besonders deutlich wird betrachtet man die Großunternehmen der Gaming-Industrie, ganz nach Wirtschaftlichen Prinzip, möglichst viel Kunst, natürlich (zumindest scheinbar) originell, in einer möglichst kurzen Zeit produziert sehen möchten: der Gewinnmaximierung wegen. Dies übt zusätzlich immensen druck auf Künstler, auch im free-lancing bereich, aus welche nun mit einer Technologie in Konkurrenz stehen gegen die sie quantitative und fortschreitend auch qualitative immer weniger Chanen haben. \nDie Geschwindigkeit dieser Entwicklung ist eminent, bedenkt mann das Spotify Ai generierte Cover und Songs in playlists und (durch externe Fehler) sogar Profile der Künstler\\*inen einbindet, durch deren Abspielen jedoch kein Menschlicher Künstler vergütet wird.",536878647]],["^15",[986,"^O","^16",536878647]],["^15",[986,"^F",949,536878647]],["^15",[986,"^X",346,536878647]],["^15",[986,"^V",945,536878647]],["^15",[986,"^U",4,536878647]],["^15",[986,"^U",298,536878647]],["^15",[986,"^U",346,536878647]],["^15",[986,"^;","~u687e222e-abf9-4ed3-a519-09f3ef610566",536878647]],["^15",[987,"^Q","https://open-access.network/en/information/subject-specific-open-access/arts",536878647]],["^15",[987,"^O","^16",536878647]],["^15",[987,"^F",983,536878647]],["^15",[987,"^X",346,536878647]],["^15",[987,"^V",988,536878647]],["^15",[987,"^U",4,536878647]],["^15",[987,"^U",298,536878647]],["^15",[987,"^U",346,536878647]],["^15",[987,"^;","~u687e222e-3903-40a5-bc7d-3a4173427cfb",536878647]],["^15",[988,"^Q","Additional sources:",536878647]],["^15",[988,"^O","^16",536878647]],["^15",[988,"^F",958,536878647]],["^15",[988,"^X",346,536878647]],["^15",[988,"^V",991,536878647]],["^15",[988,"^U",4,536878647]],["^15",[988,"^U",298,536878647]],["^15",[988,"^U",346,536878647]],["^15",[988,"^;","~u687e222e-7ed1-4c8b-a662-caeb3a416b80",536878647]],["^15",[989,"^Q","",536878647]],["^15",[989,"^O","^16",536878647]],["^15",[989,"^F",987,536878647]],["^15",[989,"^X",346,536878647]],["^15",[989,"^V",988,536878647]],["^15",[989,"^U",4,536878647]],["^15",[989,"^U",298,536878647]],["^15",[989,"^U",346,536878647]],["^15",[989,"^;","~u687e222e-b9a0-499f-949e-5191a7ada087",536878647]],["^15",[990,"^Q","[[Urheberrecht #Note]]",536879014]],["^15",[990,"^O","^16",536878647]],["^15",[990,"^F",355,536878647]],["^15",[990,"^X",346,536878647]],["^15",[990,"^V",370,536878647]],["^15",[990,"^U",346,536878647]],["^15",[990,"^U",965,536878647]],["^15",[990,"^H",965,536878647]],["^15",[990,"^;","~u687e222e-df82-4167-a528-7db19e0dbeff",536878647]],["^15",[991,"^M",true,536878647]],["^15",[991,"^Q","TODO #Slide AI Autorenschaft\ncollapsed:: true",536878647]],["^15",[991,"^O","^16",536878647]],["^15",[991,"^F",376,536878647]],["^15",[991,"^10","TODO",536878647]],["^15",[991,"^X",346,536878647]],["^15",[991,"^V",346,536878647]],["^15",[991,"^U",4,536878647]],["^15",[991,"^U",298,536878647]],["^15",[991,"^U",346,536878647]],["^15",[991,"^?",["^ "],536878647]],["^15",[991,"^J",[],536878647]],["^15",[991,"^4",["^ "],536878647]],["^15",[991,"^H",4,536878647]],["^15",[991,"^H",298,536878647]],["^15",[991,"^;","~u687e222e-420e-4ce1-bb9e-033d9c531395",536878647]],["^15",[992,"^Q","https://www.ntp.org/",536878647]],["^15",[992,"^O","^16",536878647]],["^15",[992,"^F",980,536878647]],["^15",[992,"^X",346,536878647]],["^15",[992,"^V",988,536878647]],["^15",[992,"^U",4,536878647]],["^15",[992,"^U",298,536878647]],["^15",[992,"^U",346,536878647]],["^15",[992,"^;","~u687e222e-06eb-4a4e-b195-72dfd9d5a918",536878647]],["^15",[993,"^Q","Ein Idee die Vergütung von Kunstschaffenen längerfristig zu sichern zeigt das Open Access movement auf. Bereits in der Forschung und Wissenschaft immer Beliebter werdend, publizieren Autoren ihre werke unter einer Lizenz (häufig Creative Commons) welche freien Zugriff auf das Werk unter Einhaltung bestimmter Bedienungen gewährt. So wird die Anerkennung des Ursprünglichen Autors gesichert. Ähnliches gibt es auch im Bereich der Informatik bei Quell-offener Software. Größere Projekte finanzieren sich dort durch Spenden artige beigräte von Unternehmen und Privatpersonen. Wobei es auch hier immer wider vorkommt, das selbst kritische Projekte und deren Entwickler viel zu wenig Finanzielle Unterstützung erhalten.",536878647]],["^15",[993,"^O","^16",536878647]],["^15",[993,"^F",986,536878647]],["^15",[993,"^X",346,536878647]],["^15",[993,"^V",945,536878647]],["^15",[993,"^U",4,536878647]],["^15",[993,"^U",298,536878647]],["^15",[993,"^U",346,536878647]],["^15",[993,"^;","~u687e222e-513b-46e9-9f5f-b568b913586f",536878647]],["^15",[994,"^Q","NTP Project (Zeitsyncronisierung auf den meisten Geräten) erzielte im July: \\$165/\\$1000",536878647]],["^15",[994,"^O","^16",536878647]],["^15",[994,"^F",993,536878647]],["^15",[994,"^X",346,536878647]],["^15",[994,"^V",993,536878647]],["^15",[994,"^U",4,536878647]],["^15",[994,"^U",298,536878647]],["^15",[994,"^U",346,536878647]],["^15",[994,"^;","~u687e222e-6d6c-4fb9-b241-dfa77d205d45",536878647]],["^15",[995,"^Q","Nach EU:",536878709]],["^15",[995,"^O","^16",536878673]],["^15",[995,"^F",976,536878677]],["^15",[995,"^X",965,536878673]],["^15",[995,"^V",975,536878677]],["^15",[995,"^U",4,536878693]],["^15",[995,"^U",965,536878693]],["^15",[995,"^?",["^ "],536878709]],["^15",[995,"^;","~u687e2775-1f1f-497a-a325-75fe877a0c2b",536878673]],["^15",[996,"^Q","Urheberrecht Training der AI",536879034]],["^15",[996,"^O","^16",536878678]],["^15",[996,"^F",975,536878684]],["^15",[996,"^X",965,536878678]],["^15",[996,"^V",965,536878684]],["^15",[996,"^U",965,536878685]],["^15",[996,"^?",["^ "],536879034]],["^15",[996,"^;","~u687e2776-d39d-44d0-8595-81458aa6e1de",536878678]],["^15",[997,"^Q","jene Autoren mit welchen das Modell trainiert wurde haben auch kein Urheberrecht an generierten bildern, es findet keine kopier/reproduziervorgang statt",536878813]],["^15",[997,"^O","^16",536878688]],["^15",[997,"^F",999,536878735]],["^15",[997,"^X",965,536878688]],["^15",[997,"^V",999,536878916]],["^15",[997,"^U",4,536879288]],["^15",[997,"^U",965,536879288]],["^15",[997,"^?",["^ "],536878813]],["^15",[997,"^;","~u687e2779-1077-4dc2-94da-842eb6f2a03c",536878688]],["^15",[998,"^Q","US Copyright Office Bericht",536878700]],["^15",[998,"^O","^16",536878696]],["^15",[998,"^F",975,536878696]],["^15",[998,"^X",965,536878696]],["^15",[998,"^V",975,536878696]],["^15",[998,"^U",4,536878697]],["^15",[998,"^U",965,536878697]],["^15",[998,"^?",["^ "],536878700]],["^15",[998,"^;","~u687e2780-51cd-4f52-ad22-16c6187b3fd0",536878696]],["^15",[999,"^Q","Schopfung von Medien kann reihc menschlicher verdienst sein, d.h. kein Urheberrecht fuer Ki generationen",536878732]],["^15",[999,"^O","^16",536878709]],["^15",[999,"^F",1026,536879287]],["^15",[999,"^X",965,536878709]],["^15",[999,"^V",995,536878711]],["^15",[999,"^U",4,536878710]],["^15",[999,"^U",965,536878710]],["^15",[999,"^?",["^ "],536879177]],["^15",[999,"^;","~u687e278a-836e-4500-9953-4cac6b89037b",536878709]],["^15",[1000,"^Q","Entwichler der Modelle haben selbst auch kein recht am generierten werk, sie schufen lediglich die Logik mit jener eine generation erfolgte",536878850]],["^15",[1000,"^O","^16",536878777]],["^15",[1000,"^F",1003,536878922]],["^15",[1000,"^X",965,536878777]],["^15",[1000,"^V",999,536878922]],["^15",[1000,"^U",4,536879288]],["^15",[1000,"^U",965,536879288]],["^15",[1000,"^?",["^ "],536878850]],["^15",[1000,"^;","~u687e28dc-336c-4345-91a0-84f3d141509e",536878777]],["^15",[1003,"^Q","Anweisungen welche an AI gegeben werden nicht urheberrechtlich geschutzt, Anweisender Nutzer gibt AI lediglich befehle > hat auch kein Urheberrecht",536878832]],["^15",[1003,"^O","^16",536878813]],["^15",[1003,"^F",997,536878919]],["^15",[1003,"^X",965,536878813]],["^15",[1003,"^V",999,536878919]],["^15",[1003,"^U",4,536879288]],["^15",[1003,"^U",965,536879288]],["^15",[1003,"^?",["^ "],536878832]],["^15",[1003,"^;","~u687e2917-b2a5-4e03-b9e9-4363be957ee9",536878813]],["^15",[1007,"^Q","Mass durch mindestmass an kreativer Originalitaet/persönliche geistige Schöpfungen eines Menschen kann Urheberecht entstehen (mindestmass ist einzelfall abhaenig, jedoch ist das blosse kuerzen oder umformulieren nicht schuetzbar)",536879112]],["^15",[1007,"^O","^16",536878925]],["^15",[1007,"^F",999,536878929]],["^15",[1007,"^X",965,536878925]],["^15",[1007,"^V",995,536878929]],["^15",[1007,"^U",4,536878926]],["^15",[1007,"^U",965,536878926]],["^15",[1007,"^?",["^ "],536879112]],["^15",[1007,"^;","~u687e2dc0-d092-467f-a047-6f22bc1cb98b",536878925]],["^15",[1009,"^Q","Erneut keine expliziete gesetzesgrunbdlage, angenommen Urhebergesetz ueber Datamining greift",536879063]],["^15",[1009,"^O","^16",536879034]],["^15",[1009,"^F",996,536879034]],["^15",[1009,"^X",965,536879034]],["^15",[1009,"^V",996,536879038]],["^15",[1009,"^U",965,536879035]],["^15",[1009,"^?",["^ "],536879063]],["^15",[1009,"^;","~u687e2f77-62ec-45d3-9111-a2b52348a35f",536879034]],["^15",[1010,"^Q","",536879044]],["^15",[1010,"^O","^16",536879044]],["^15",[1010,"^F",1027,536879359]],["^15",[1010,"^X",965,536879044]],["^15",[1010,"^V",975,536879044]],["^15",[1010,"^U",4,536879045]],["^15",[1010,"^U",965,536879045]],["^15",[1010,"^?",["^ "],536879198]],["^15",[1010,"^;","~u687e2f9d-ff69-4609-a4bc-84dfc750b702",536879044]],["^15",[1011,"^Q","Auch Urheberrechtlich geschuetzte Daten durefen zum training verwendet werden, solange: kein einspruch, in maschienenlesbarer Form vorliegt, die inhalte Rechtmaesig im Internet stehen, keine Zugangskontrolierenden massnahmen umgangen werden",536879109]],["^15",[1011,"^O","^16",536879063]],["^15",[1011,"^F",1009,536879063]],["^15",[1011,"^X",965,536879063]],["^15",[1011,"^V",996,536879063]],["^15",[1011,"^U",965,536879064]],["^15",[1011,"^?",["^ "],536879109]],["^15",[1011,"^;","~u687e34b3-19ff-447f-9e0a-787b45f06da4",536879063]],["^15",[1020,"^Q","EU-Urheberrecht noch keine expliziete Gesetzesgrundlage",536879205]],["^15",[1020,"^O","^16",536879199]],["^15",[1020,"^F",1025,536879277]],["^15",[1020,"^X",965,536879199]],["^15",[1020,"^V",975,536879199]],["^15",[1020,"^U",4,536879200]],["^15",[1020,"^U",965,536879200]],["^15",[1020,"^?",["^ "],536879199]],["^15",[1020,"^;","~u687e36d8-30ce-4f88-9550-026dbe4242ee",536879205]],["^15",[1021,"^Q","EuGh: Persoenlichketi des Autors muss widergespiegelt werden, ergebniss der geistigen Schoepfung des Urhebers",536879205]],["^15",[1021,"^O","^16",536879205]],["^15",[1021,"^F",1020,536879205]],["^15",[1021,"^X",965,536879205]],["^15",[1021,"^V",1020,536879205]],["^15",[1021,"^U",4,536879278]],["^15",[1021,"^U",965,536879278]],["^15",[1021,"^?",["^ "],536879205]],["^15",[1021,"^;","~u687e36fa-b829-47bc-97fe-ef22cf0f191c",536879205]],["^15",[1022,"^Q","Unterscheliche Deutung zu vorherigen: Schutz moeglich wenn Prompt und Output originell sind > d.h. personlichkeit des Autors iwderspiegelt",536879236]],["^15",[1022,"^O","^16",536879205]],["^15",[1022,"^F",1021,536879205]],["^15",[1022,"^X",965,536879205]],["^15",[1022,"^V",1020,536879205]],["^15",[1022,"^U",4,536879278]],["^15",[1022,"^U",965,536879278]],["^15",[1022,"^?",["^ "],536879236]],["^15",[1022,"^;","~u687e3761-499e-4f77-a7b9-a2c5830d94c4",536879205]],["^15",[1023,"^Q","kein schutz wenn: Referenzfoto, stylwahl > output; ausslieslich Ki Kreative Entscheidung getroffen hat",536879315]],["^15",[1023,"^O","^16",536879239]],["^15",[1023,"^F",1022,536879239]],["^15",[1023,"^X",965,536879239]],["^15",[1023,"^V",1022,536879241]],["^15",[1023,"^U",4,536879278]],["^15",[1023,"^U",965,536879278]],["^15",[1023,"^?",["^ "],536879315]],["^15",[1023,"^;","~u687e37c0-7fb7-4b56-b162-698fa7f925b0",536879239]],["^15",[1024,"^Q","Schutz wenn: idee, eigenen Prompt verfasst (d.h. Mensch ausreichend kreative Entscheidungen getroffen hat) > outputt",536879336]],["^15",[1024,"^O","^16",536879249]],["^15",[1024,"^F",1023,536879249]],["^15",[1024,"^X",965,536879249]],["^15",[1024,"^V",1022,536879249]],["^15",[1024,"^U",4,536879278]],["^15",[1024,"^U",965,536879278]],["^15",[1024,"^?",["^ "],536879336]],["^15",[1024,"^;","~u687e37ce-3dd3-4e3b-88f7-f3bbea5c8c66",536879249]],["^15",[1025,"^Q","https://www.din.de/resource/blob/1142062/df54d68d11749518302993d7976222a5/open-session-rechtliche-dimensionen-von-ki-data.pdf",536879279]],["^15",[1025,"^O","^16",536879277]],["^15",[1025,"^F",995,536879294]],["^15",[1025,"^X",965,536879277]],["^15",[1025,"^V",975,536879277]],["^15",[1025,"^U",4,536879278]],["^15",[1025,"^U",965,536879278]],["^15",[1025,"^?",["^ 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originals erstellt und das Original im trainingsdatensatz vorhanden ist",536879409]],["^15",[1028,"^O","^16",536879357]],["^15",[1028,"^F",1027,536879357]],["^15",[1028,"^X",965,536879357]],["^15",[1028,"^V",1027,536879359]],["^15",[1028,"^U",4,536879358]],["^15",[1028,"^U",965,536879358]],["^15",[1028,"^?",["^ "],536879409]],["^15",[1028,"^;","~u687e388b-86f9-4040-970d-f82ae54302e3",536879357]],["^15",[1029,"^Q","zufaelige doppelschopfungen sind keine Urheberrechtsverlaetzung (muss gezeigt werden das Original nicht im Trainingsdatensatz)",536879434]],["^15",[1029,"^O","^16",536879409]],["^15",[1029,"^F",1028,536879409]],["^15",[1029,"^X",965,536879409]],["^15",[1029,"^V",1028,536879411]],["^15",[1029,"^U",4,536879410]],["^15",[1029,"^U",965,536879410]],["^15",[1029,"^?",["^ 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Available options:\n ;; - Markdown (default)\n ;; - Org\n ;; :preferred-format \"Markdown\"\n\n ;; Set the preferred workflow style.\n ;; Available options:\n ;; - :now for NOW/LATER style (default)\n ;; - :todo for TODO/DOING style\n :preferred-workflow :todo\n\n ;; Exclude directories/files.\n ;; Example usage:\n ;; :hidden [\"/archived\" \"/test.md\" \"../assets/archived\"]\n :hidden []\n\n ;; Define the default journal page template.\n ;; Enter the template name between the quotes.\n :default-templates\n {:journals \"\"}\n\n ;; Set a custom date format for the journal page title.\n ;; Default value: \"MMM do, yyyy\"\n ;; e.g., \"Jan 19th, 2038\"\n ;; Example usage e.g., \"Tue 19th, Jan 2038\"\n ;; :journal/page-title-format \"EEE do, MMM yyyy\"\n\n ;; Specify the journal filename format using a valid date format string.\n ;; !Warning:\n ;;   This configuration is not retroactive and affects only new journals.\n ;;   To show old journal files in the app, manually rename the files in 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true\n ;; :feature/enable-flashcards? true\n\n ;; Enable whiteboards.\n ;; Default value: true\n ;; :feature/enable-whiteboards? true\n\n ;; Disable the journal's built-in 'Scheduled tasks and deadlines' query.\n ;; Default value: false\n ;; :feature/disable-scheduled-and-deadline-query? false\n\n ;; Specify the number of days displayed in the future for\n ;; the 'scheduled tasks and deadlines' query.\n ;; Example usage:\n ;; Display all scheduled and deadline blocks for the next 14 days:\n ;; :scheduled/future-days 14\n ;; Default value: 7\n ;; :scheduled/future-days 7\n\n ;; Specify the first day of the week.\n ;; Available options:\n ;;  - integer from 0 to 6 (Monday to Sunday)\n ;; Default value: 6 (Sunday)\n :start-of-week 6\n\n ;; Specify a custom CSS import.\n ;; This option takes precedence over the local `logseq/custom.css` file.\n ;; Example usage:\n ;; :custom-css-url \"@import url('https://cdn.jsdelivr.net/gh/dracula/logseq@master/custom.css');\"\n\n ;; Specify a custom JS import.\n ;; This option takes precedence over the local `logseq/custom.js` file.\n ;; Example usage:\n ;; :custom-js-url \"https://cdn.logseq.com/custom.js\"\n\n ;; Set a custom Arweave gateway\n ;; Default gateway: https://arweave.net\n ;; :arweave/gateway \"https://arweave.net\"\n\n ;; Set bullet indentation when exporting\n ;; Available options:\n ;;  - `:eight-spaces` as eight spaces\n ;;  - `:four-spaces` as four spaces\n ;;  - `:two-spaces` as two spaces\n ;;  - `:tab` as a tab character (default)\n ;; :export/bullet-indentation :tab\n\n ;; Publish all pages within the Graph\n ;; Regardless of whether individual pages have been marked as public.\n ;; Default value: false\n ;; :publishing/all-pages-public? false\n\n ;; Define the default home page and sidebar status.\n ;; If unspecified, the journal page will be loaded on startup and the right sidebar will stay hidden.\n ;; The `:page` value represents the name of the page displayed at startup.\n ;; Available options for 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Set \"Changelog\" as the home page and display \"Contents\" in the right sidebar:\n ;; :default-home {:page \"Changelog\", :sidebar \"Contents\"}\n ;; 2. Set \"Jun 3rd, 2021\" as the home page without the right sidebar:\n ;; :default-home {:page \"Jun 3rd, 2021\"}\n ;; 3. Set \"home\" as the home page and display multiple pages in the right sidebar:\n ;; :default-home {:page \"home\", :sidebar [\"Page A\" \"Page B\"]}\n\n ;; Set the default location for storing notes.\n ;; Default value: \"pages\"\n ;; :pages-directory \"pages\"\n\n ;; Set the default location for storing journals.\n ;; Default value: \"journals\"\n ;; :journals-directory \"journals\"\n\n ;; Set the default location for storing whiteboards.\n ;; Default value: \"whiteboards\"\n ;; :whiteboards-directory \"whiteboards\"\n\n ;; Enabling this option converts\n ;; [[Grant Ideas]] to [[file:./grant_ideas.org][Grant Ideas]] for org-mode.\n ;; For more information, visit https://github.com/logseq/logseq/issues/672\n ;; :org-mode/insert-file-link? false\n\n ;; Configure custom shortcuts.\n ;; Syntax:\n ;; 1. + indicates simultaneous key presses, e.g., `Ctrl+Shift+a`.\n ;; 2. A space between keys represents key chords, e.g., `t s` means\n ;;    pressing `t` followed by `s`.\n ;; 3. mod refers to `Ctrl` for Windows/Linux and `Command` for Mac.\n ;; 4. Use false to disable a specific shortcut.\n ;; 5. You can define multiple bindings for a single action, e.g., [\"ctrl+j\" \"down\"].\n ;; The full list of configurable shortcuts is available at:\n ;; https://github.com/logseq/logseq/blob/master/src/main/frontend/modules/shortcut/config.cljs\n ;; Example:\n ;; :shortcuts\n ;; {:editor/new-block       \"enter\"\n ;;  :editor/new-line        \"shift+enter\"\n ;;  :editor/insert-link     \"mod+shift+k\"\n ;;  :editor/highlight       false\n ;;  :ui/toggle-settings     \"t s\"\n ;;  :editor/up              [\"ctrl+k\" \"up\"]\n ;;  :editor/down            [\"ctrl+j\" \"down\"]\n ;;  :editor/left            [\"ctrl+h\" \"left\"]\n ;;  :editor/right           [\"ctrl+l\" \"right\"]}\n :shortcuts {}\n\n ;; Configure the behavior of pressing Enter in document mode.\n ;; if set to true, pressing Enter will create a new block.\n ;; Default value: false\n :shortcut/doc-mode-enter-for-new-block? false\n\n ;; Block content larger than `block/content-max-length` will not be searchable\n ;; or editable for performance.\n ;; Default value: 10000\n :block/content-max-length 10000\n\n ;; Display command documentation on hover.\n ;; Default value: true\n :ui/show-command-doc? true\n\n ;; Display empty bullet points.\n ;; Default value: false\n :ui/show-empty-bullets? false\n\n ;; Pre-defined :view function to use with advanced queries.\n :query/views\n {:pprint\n  (fn [r] [:pre.code (pprint r)])}\n\n ;; Advanced queries `:result-transform` function.\n ;; Transform the query result before displaying it.\n :query/result-transforms\n {:sort-by-priority\n  (fn [result] (sort-by (fn [h] (get h :block/priority \"Z\")) result))}\n\n ;; The following queries will be displayed at the bottom of today's journal page.\n ;; The \"NOW\" query returns tasks with \"NOW\" or \"DOING\" status.\n ;; The \"NEXT\" query returns tasks with \"NOW\", \"LATER\", or \"TODO\" status.\n :default-queries\n {:journals\n  [{:title \"🔨 NOW\"\n    :query [:find (pull ?h [*])\n            :in $ ?start ?today\n            :where\n            [?h :block/marker ?marker]\n            [(contains? #{\"NOW\" \"DOING\"} ?marker)]\n            [?h :block/page ?p]\n            [?p :block/journal? true]\n            [?p :block/journal-day ?d]\n            [(>= ?d ?start)]\n            [(<= ?d ?today)]]\n    :inputs [:14d :today]\n    :result-transform (fn [result]\n                        (sort-by (fn [h]\n                                   (get h :block/priority \"Z\")) result))\n    :group-by-page? false\n    :collapsed? false}\n   {:title \"📅 NEXT\"\n    :query [:find (pull ?h [*])\n            :in $ ?start ?next\n            :where\n            [?h :block/marker ?marker]\n            [(contains? #{\"NOW\" \"LATER\" \"TODO\"} ?marker)]\n            [?h :block/page ?p]\n            [?p :block/journal? true]\n            [?p :block/journal-day ?d]\n            [(> ?d ?start)]\n            [(< ?d ?next)]]\n    :inputs [:today :7d-after]\n    :group-by-page? false\n    :collapsed? false}]}\n\n ;; Add custom commands to the command palette\n ;; Example usage:\n ;; :commands\n ;; [\n ;;  [\"js\" \"Javascript\"]\n ;;  [\"md\" \"Markdown\"]\n ;;  ]\n :commands []\n\n ;; Enable collapsing blocks with titles but no children.\n ;; By default, only blocks with children can be collapsed.\n ;; Setting `:outliner/block-title-collapse-enabled?` to true allows collapsing\n ;; blocks with titles (multiple lines) and content. For example:\n ;; - block title\n ;;   block content\n ;; Default value: false\n :outliner/block-title-collapse-enabled? false\n\n ;; Macros replace texts and will make you more productive.\n ;; Example usage:\n ;; Change the :macros value below to:\n ;; {\"poem\" \"Rose is $1, violet's $2. Life's ordered: Org assists you.\"}\n ;; input \"{{poem red,blue}}\"\n ;; becomes\n ;; Rose is red, violet's blue. Life's ordered: Org assists you.\n :macros {}\n\n ;; Configure the default expansion level for linked references.\n ;; For example, consider the following block hierarchy:\n ;; - a [[page]] (level 1)\n ;;   - b        (level 2)\n ;;     - c      (level 3)\n ;;       - d    (level 4)\n ;;\n ;; With the default value of level 2, block b will be collapsed.\n ;; If the level's value is set to 3, block c will be collapsed.\n ;; Default value: 2\n :ref/default-open-blocks-level 2\n\n ;; Configure the threshold for linked references before collapsing.\n ;; Default value: 100\n :ref/linked-references-collapsed-threshold 50\n\n ;; Graph view configuration.\n ;; Example usage:\n ;; :graph/settings\n ;; {:orphan-pages?   true   ; Default value: true\n ;;  :builtin-pages?  false  ; Default value: false\n ;;  :excluded-pages? false  ; Default value: false\n ;;  :journal?        false} ; Default value: false\n\n ;; Graph view configuration.\n ;; Example usage:\n ;; :graph/forcesettings\n ;; {:link-dist       180    ; Default value: 180\n ;;  :charge-strength -600   ; Default value: -600\n ;;  :charge-range    600}   ; Default value: 600\n\n ;; Favorites to list on the left sidebar\n :favorites [\"Startpage\"]\n\n ;; Set flashcards interval.\n ;; Expected value:\n ;; - Float between 0 and 1\n ;; higher values result in faster changes to the next review interval.\n ;; Default value: 0.5\n ;; :srs/learning-fraction 0.5\n\n ;; Set the initial interval after the first successful review of a card.\n ;; Default value: 4\n ;; :srs/initial-interval 4\n\n ;; Hide specific block properties.\n ;; Example usage:\n ;; :block-hidden-properties #{:public :icon}\n\n ;; Create a page for all properties.\n ;; Default value: true\n :property-pages/enabled? true\n\n ;; Properties to exclude from having property pages\n ;; Example usage:\n ;; :property-pages/excludelist #{:duration :author}\n\n ;; By default, property value separated by commas will not be treated as\n ;; page references. You can add properties to enable it.\n ;; Example usage:\n ;; :property/separated-by-commas #{:alias :tags}\n\n ;; Properties that are ignored when parsing property values for references\n ;; Example usage:\n ;; :ignored-page-references-keywords #{:author :website}\n\n ;; logbook configuration.\n ;; :logbook/settings\n ;; {:with-second-support? false ;limit logbook to minutes, seconds will be eliminated\n ;;  :enabled-in-all-blocks true ;display logbook in all blocks after timetracking\n ;;  :enabled-in-timestamped-blocks false ;don't display logbook at all\n ;; }\n\n ;; Mobile photo upload configuration.\n ;; :mobile/photo\n ;; {:allow-editing? true\n ;;  :quality        80}\n\n ;; Mobile features options\n ;; Gestures\n ;; Example usage:\n ;; :mobile\n ;; {:gestures/disabled-in-block-with-tags [\"kanban\"]}\n\n ;; Extra CodeMirror options\n ;; See https://codemirror.net/5/doc/manual.html#config for possible options\n ;; Example usage:\n ;; :editor/extra-codemirror-options\n ;; {:lineWrapping  false  ; Default value: false\n ;;  :lineNumbers   true   ; Default value: true\n ;;  :readOnly      false} ; Default value: false\n\n ;; Enable logical outdenting\n ;; Default value: false\n ;; :editor/logical-outdenting? false\n\n ;; Prefer pasting the file when text and a file are in the clipboard.\n ;; Default value: false\n ;; :editor/preferred-pasting-file? false\n\n ;; Quick capture templates for receiving content from other apps.\n ;; Each template contains three elements {time}, {text} and {url}, which can be auto-expanded\n ;; by receiving content from other apps. Note: the {} cannot be omitted.\n ;; - {time}: capture time\n ;; - {date}: capture date using current date format, use `[[{date}]]` to get a page reference\n ;; - {text}: text that users selected before sharing.\n ;; - {url}: URL or assets path for media files stored in Logseq.\n ;; You can also reorder them or use only one or two of them in the template.\n ;; You can also insert or format any text in the template, as shown in the following examples.\n ;; :quick-capture-templates\n ;; {:text \"[[quick capture]] **{time}**: {text} from {url}\"\n ;;  :media \"[[quick capture]] **{time}**: {url}\"}\n\n ;; Quick capture options.\n ;; - insert-today?   Insert the capture at the end of today's journal page (boolean).\n ;; - redirect-page?  Redirect to the quick capture page after capturing (boolean).\n ;; - default-page    The default page to capture to if insert-today? is false (string).\n ;; :quick-capture-options\n ;; {:insert-today? false           ;; Default value: true\n ;;  :redirect-page? false          ;; Default value: false\n ;;  :default-page \"quick capture\"} ;; Default page: \"quick capture\"\n\n ;; File sync options\n ;; Ignore these files when syncing, regexp is supported.\n ;; :file-sync/ignore-files []\n\n ;; Configure the Enter key behavior for\n ;; context-aware editing with DWIM (Do What I Mean).\n ;; context-aware Enter key behavior implies that pressing Enter will\n ;; have different outcomes based on the context.\n ;; For instance, pressing Enter within a list generates a new list item,\n ;; whereas pressing Enter in a block reference opens the referenced block.\n ;; :dwim/settings\n ;; {:admonition&src?  true        ;; Default value: true\n ;;  :markup?          false       ;; Default value: false\n ;;  :block-ref?       true        ;; Default value: true\n ;;  :page-ref?        true        ;; Default value: true\n ;;  :properties?      true        ;; Default value: true\n ;;  :list?            false}      ;; Default value: false\n\n ;; Configure the escaping method for special characters in page titles.\n ;; Warning:\n ;;   This is a dangerous operation. To modify the setting,\n ;;   access the 'Filename format' setting and follow the instructions.\n ;;   Otherwise, You may need to manually rename all affected files and\n ;;   re-index them on all clients after synchronization.\n ;;   Incorrect handling may result in messy page titles.\n ;; Available options:\n ;;   - :triple-lowbar (default)\n ;;      ;use triple underscore `___` for slash `/` in page title\n ;;      ;use Percent-encoding for other invalid characters\n :file/name-format :triple-lowbar\n :journal/page-title-format \"yyyy/MM/dd\"\n :graph/settings {:journal? true\n :builtin-pages? true}\n :feature/enable-flashcards? false\n :ui/show-brackets? true\n :editor/preferred-pasting-file? true}\n",536870939]],["^15",[29,"^17",1751932905297,536870919]],["^15",[29,"~:file/last-modified-at","~m1751933023850",536870940]],["^15",[29,"^Z","logseq/config.edn",536870919]],["^15",[30,"^3","-",536872090]],["^15",[30,"^17",1751932905314,536870919]],["^15",[30,"^18","~m1752077285709",536872089]],["^15",[30,"^Z","pages/contents.md",536870919]],["^15",[31,"^Q","",536872088]],["^15",[31,"^O","^16",536870919]],["^15",[31,"^F",12,536870919]],["^15",[31,"^X",12,536870919]],["^15",[31,"^V",12,536870919]],["^15",[31,"^U",12,536870919]],["^15",[31,"^?",["^ "],536872088]],["^15",[31,"^;","~u686c5fe9-bd37-45a1-9a0b-efd940ff9a7a",536870919]],["^15",[32,"^3","## Wer ist die Autorschaft\n\t- Sicheres Urheberrecht sorgt für Wertschätzung und schafft überhaupt erst den Anreiz, ein Werk zu erschaffen (über die bloße Vorstellung einer Idee hinaus)\n\t- In der neoliberalen Konkurrenz einzelner Kunstschaffender besteht die Forderung nach Neuem, Originellem und Eigenständigem\n\t\t- Kunstform, die diese Grenzen immer wieder erprobt, ist **Appropriation Art** (Aneignungskunst)\n\t\t\t- Ursprüngliches Werk, Objekt oder Bild wird mit wenigen oder keinen Änderungen, ggf. mit verändertem Kontext, im neuen Werk abgebildet\n\t- Maschine als deterministisch unkreativ betrachtet\n\t\t- Computer und Programme bestehen aus Algorithmen, welche zwar erstellt werden und wie erhofft funktionieren, jedoch dem Bewusstsein verschlossen und unkommunikativ bleiben, sich aber trotzdem auf uns auswirken\n\t\t- Funktionweise unbekannt, Weg der Datenverarbeitung schwer nachvollziehbar → Autonomiecharakter → wirft juristische Fragen zum Urheberrecht auf\n\t- KI-Modelle wären ohne Trainingsdaten nichts\n\t\t- Menschen brauchen Inspiration und Referenzmaterial ebenso für Kreativität und Reaktion → Training bringt KI auf „ähnliche Spielfläche“ wie Menschen\n\t\t- Autoren sind ebenso „Filter“: nehmen Erfahrungen wahr, rekombinieren diese in undurchschaubarer Weise zu neuen Werken\n\t\t\t- Kein fundamentaler Unterschied zwischen AI und Mensch?\n\t- Sollte man maschinell und menschlich erstellte Werke also gleich behandeln? Sind Menschen der Maschine von Natur aus überlegen?\n\t\t- „Nur Menschen können Autoren sein, da Werke menschliche Erfahrungen widerspiegeln müssen“ → anthropozentrisch, tautologisch\n\t\t- Andererseits: Wenn Kunst rein im Ausdruck besteht, welche Rolle spielen dann innere Turbulenzen des Autors?\n\t- Ai als Stilmittel eines Autors\n\t\t- Malerei war lange mit dem Mythos des kreativen, männlichen, weißen Genies verbunden → durch AI-Nutzung kann dies hinterfragt werden\n\t\t- Kooperation zwischen Mensch und Nichtmenschlichem bringt Eigenheit und Widerstand, was besonderen künstlerischen Flair erzeugt\n\t\t- Autor als Filter + KI als Filter → rekursive Kaskade, die aufeinander aufbaut\n\t- #### Nehmen wir Originalität für AI-generierte Werke an:\n\t\t- Wird es kommen wie in Orwells *1984*, wo Romanschreib- und Musikkompositionsmaschinen eine automatische Kulturindustrie bilden? Bisher nicht – schon weil ökonomische Motivation zur Ersetzung menschlicher Arbeit in Kunstbereichen weitgehend fehlt.\n\t\t  *Doch Beispiele wie Spotify #Ai Music zeigen erste Ansätze.*\n- ### Entlohnung der Kunstschaffenden\n\t- Wer soll von durch Ai geschaffenen Werken entlohnt werden?\n\t- Wie geht der Kapitalismus mit massenhaft synthetisch geschaffenen Werken um?\n\t- Zunehmend verbreitet sich das Konzept von **Microwork**\n\t\t- Als AI erledigte Aufgaben werden vermarktet, obwohl sie in Wahrheit von unterbezahlten, oft ausgebeuteten Arbeitskräften ausgeführt werden\n\t\t- → *Siehe: „The Culture of Microwork“*",536876946]],["^15",[32,"^17",1751932905326,536870919]],["^15",[32,"^18","~m1752757800219",536876945]],["^15",[32,"^Z","pages/Ai Autorenschaft %23Note.md",536870919]],["^15",[33,"^K",1751932905440,536870919]],["^15",[33,"^[",32,536870919]],["^15",[33,"^@",false,536870919]],["^15",[33,"^Y","ai autorenschaft #note",536870919]],["^15",[33,"^11","Ai Autorenschaft #Note",536870919]],["^15",[33,"^B",1752757799172,536876943]],["^15",[33,"^;","~u687e222e-ee4e-44c4-970e-366669fb7694",536878647]],["^15",[34,"^K",1751932905370,536870919]],["^15",[34,"^[",202,536870919]],["^15",[34,"^@",false,536870919]],["^15",[34,"^Y","ai",536870919]],["^15",[34,"^11","Ai",536870919]],["^15",[34,"^?",["^ ","~:alias",["~#set",["Ai"]]],536870919]],["^15",[34,"^4",["^ ","^19","#Ai"],536870919]],["^15",[34,"^B",1751932905370,536870919]],["^15",[34,"^;","~u686c5fe9-668c-494d-a39c-6a3f3b79edc9",536870919]],["^15",[35,"^Q","Ai als Stilmittel eines Autors",536876939]],["^15",[35,"^O","^16",536870919]],["^15",[35,"^F",42,536870919]],["^15",[35,"^X",33,536870919]],["^15",[35,"^V",48,536870919]],["^15",[35,"^U",33,536876940]],["^15",[35,"^?",["^ "],536876939]],["^15",[35,"^;","~u686c5fe9-f8e8-4428-89f0-a3dc02c18fec",536870919]],["^15",[36,"^Q","Maschine als deterministisch unkreativ betrachtet",536870919]],["^15",[36,"^O","^16",536870919]],["^15",[36,"^F",61,536870919]],["^15",[36,"^X",33,536870919]],["^15",[36,"^V",48,536870919]],["^15",[36,"^U",33,536870919]],["^15",[36,"^;","~u686c5fe9-7089-458a-8071-a37924838c6d",536870919]],["^15",[37,"^Q","Funktionweise unbekannt, Weg der Datenverarbeitung schwer nachvollziehbar → Autonomiecharakter → wirft juristische Fragen zum Urheberrecht auf",536870919]],["^15",[37,"^O","^16",536870919]],["^15",[37,"^F",40,536870919]],["^15",[37,"^X",33,536870919]],["^15",[37,"^V",36,536870919]],["^15",[37,"^U",33,536870919]],["^15",[37,"^;","~u686c5fe9-9e87-460a-9e14-54327c1f5b6a",536870919]],["^15",[38,"^Q","Als AI erledigte Aufgaben werden vermarktet, obwohl sie in Wahrheit von unterbezahlten, oft ausgebeuteten Arbeitskräften ausgeführt werden",536870919]],["^15",[38,"^O","^16",536870919]],["^15",[38,"^F",39,536870919]],["^15",[38,"^X",33,536870919]],["^15",[38,"^V",39,536870919]],["^15",[38,"^U",33,536870919]],["^15",[38,"^;","~u686c5fe9-d7d6-4ba7-a745-93c11429df21",536870919]],["^15",[39,"^Q","Zunehmend verbreitet sich das Konzept von **Microwork**",536870919]],["^15",[39,"^O","^16",536870919]],["^15",[39,"^F",51,536870919]],["^15",[39,"^X",33,536870919]],["^15",[39,"^V",50,536870919]],["^15",[39,"^U",33,536870919]],["^15",[39,"^;","~u686c5fe9-ad22-4083-b623-8e557d551659",536870919]],["^15",[40,"^Q","Computer und Programme bestehen aus Algorithmen, welche zwar erstellt werden und wie erhofft funktionieren, jedoch dem Bewusstsein verschlossen und unkommunikativ bleiben, sich aber trotzdem auf uns auswirken",536870919]],["^15",[40,"^O","^16",536870919]],["^15",[40,"^F",36,536870919]],["^15",[40,"^X",33,536870919]],["^15",[40,"^V",36,536870919]],["^15",[40,"^U",33,536870919]],["^15",[40,"^;","~u686c5fe9-23d9-46f0-8e9d-42ed22e7ea9a",536870919]],["^15",[41,"^Q","Sicheres Urheberrecht sorgt für Wertschätzung und schafft überhaupt erst den Anreiz, ein Werk zu erschaffen (über die bloße Vorstellung einer Idee hinaus)",536870919]],["^15",[41,"^O","^16",536870919]],["^15",[41,"^F",48,536870919]],["^15",[41,"^X",33,536870919]],["^15",[41,"^V",48,536870919]],["^15",[41,"^U",33,536870919]],["^15",[41,"^;","~u686c5fe9-f148-461d-87cf-a12823005fb0",536870919]],["^15",[42,"^Q","Sollte man maschinell und menschlich erstellte Werke also gleich behandeln? Sind Menschen der Maschine von Natur aus überlegen?",536870919]],["^15",[42,"^O","^16",536870919]],["^15",[42,"^F",44,536870919]],["^15",[42,"^X",33,536870919]],["^15",[42,"^V",48,536870919]],["^15",[42,"^U",33,536870919]],["^15",[42,"^;","~u686c5fe9-e605-4d82-8c59-55c659591e95",536870919]],["^15",[43,"^Q","Kooperation zwischen Mensch und Nichtmenschlichem bringt Eigenheit und Widerstand, was besonderen künstlerischen Flair erzeugt",536870919]],["^15",[43,"^O","^16",536870919]],["^15",[43,"^F",60,536870919]],["^15",[43,"^X",33,536870919]],["^15",[43,"^V",35,536870919]],["^15",[43,"^U",33,536876940]],["^15",[43,"^;","~u686c5fe9-a22d-4285-8660-6f4647462628",536870919]],["^15",[44,"^Q","KI-Modelle wären ohne Trainingsdaten nichts",536870919]],["^15",[44,"^O","^16",536870919]],["^15",[44,"^F",36,536870919]],["^15",[44,"^X",33,536870919]],["^15",[44,"^V",48,536870919]],["^15",[44,"^U",33,536870919]],["^15",[44,"^;","~u686c5fe9-73fe-4e36-b235-e0940fc2d03b",536870919]],["^15",[45,"^Q","#### Nehmen wir Originalität für AI-generierte Werke an:",536870919]],["^15",[45,"^O","^16",536870919]],["^15",[45,"^F",35,536870919]],["^15",[45,"^X",33,536870919]],["^15",[45,"^V",48,536870919]],["^15",[45,"^U",33,536870919]],["^15",[45,"^?",["^ ","~:heading",4],536870919]],["^15",[45,"^J",[],536870919]],["^15",[45,"^;","~u686c5fe9-292a-4b18-befd-6ec88c070d06",536870919]],["^15",[46,"^Q","Ursprüngliches Werk, Objekt oder Bild wird mit wenigen oder keinen Änderungen, ggf. mit verändertem Kontext, im neuen Werk abgebildet",536870919]],["^15",[46,"^O","^16",536870919]],["^15",[46,"^F",47,536870919]],["^15",[46,"^X",33,536870919]],["^15",[46,"^V",47,536870919]],["^15",[46,"^U",33,536870919]],["^15",[46,"^;","~u686c5fe9-000d-40a4-9d38-99fd48d84470",536870919]],["^15",[47,"^Q","Kunstform, die diese Grenzen immer wieder erprobt, ist **Appropriation Art** (Aneignungskunst)",536870919]],["^15",[47,"^O","^16",536870919]],["^15",[47,"^F",61,536870919]],["^15",[47,"^X",33,536870919]],["^15",[47,"^V",61,536870919]],["^15",[47,"^U",33,536870919]],["^15",[47,"^;","~u686c5fe9-9580-4bd0-bf29-974523d02990",536870919]],["^15",[48,"^Q","## Wer ist die Autorschaft",536870919]],["^15",[48,"^O","^16",536870919]],["^15",[48,"^F",33,536870919]],["^15",[48,"^X",33,536870919]],["^15",[48,"^V",33,536870919]],["^15",[48,"^U",33,536870919]],["^15",[48,"^?",["^ ","^1;",2],536870919]],["^15",[48,"^J",[],536870919]],["^15",[48,"^;","~u686c5fe9-a551-4402-a47a-22a336e7953b",536870919]],["^15",[49,"^Q","Andererseits: Wenn Kunst rein im Ausdruck besteht, welche Rolle spielen dann innere Turbulenzen des Autors?",536870919]],["^15",[49,"^O","^16",536870919]],["^15",[49,"^F",53,536870919]],["^15",[49,"^X",33,536870919]],["^15",[49,"^V",42,536870919]],["^15",[49,"^U",33,536870919]],["^15",[49,"^;","~u686c5fe9-0c7a-410e-bf11-bc2b80d1595b",536870919]],["^15",[50,"^Q","### Entlohnung der Kunstschaffenden",536870919]],["^15",[50,"^O","^16",536870919]],["^15",[50,"^F",48,536870919]],["^15",[50,"^X",33,536870919]],["^15",[50,"^V",33,536870919]],["^15",[50,"^U",33,536870919]],["^15",[50,"^?",["^ ","^1;",3],536870919]],["^15",[50,"^J",[],536870919]],["^15",[50,"^;","~u686c5fe9-59b6-4718-8975-6e7bee98ca48",536870919]],["^15",[51,"^Q","Wie geht der Kapitalismus mit massenhaft synthetisch geschaffenen Werken um?",536870919]],["^15",[51,"^O","^16",536870919]],["^15",[51,"^F",56,536870919]],["^15",[51,"^X",33,536870919]],["^15",[51,"^V",50,536870919]],["^15",[51,"^U",33,536870919]],["^15",[51,"^;","~u686c5fe9-a2e7-4038-a3d8-259e9c7912c2",536870919]],["^15",[52,"^Q","Kein fundamentaler Unterschied zwischen AI und Mensch?",536870919]],["^15",[52,"^O","^16",536870919]],["^15",[52,"^F",59,536870919]],["^15",[52,"^X",33,536870919]],["^15",[52,"^V",59,536870919]],["^15",[52,"^U",33,536870919]],["^15",[52,"^;","~u686c5fe9-d311-40de-8f8c-a034f1b29b9c",536870919]],["^15",[53,"^Q","„Nur Menschen können Autoren sein, da Werke menschliche Erfahrungen widerspiegeln müssen“ → anthropozentrisch, tautologisch",536870919]],["^15",[53,"^O","^16",536870919]],["^15",[53,"^F",42,536870919]],["^15",[53,"^X",33,536870919]],["^15",[53,"^V",42,536870919]],["^15",[53,"^U",33,536870919]],["^15",[53,"^;","~u686c5fe9-3338-467f-8dfd-a06b039b167d",536870919]],["^15",[54,"^Q","Wird es kommen wie in Orwells *1984*, wo Romanschreib- und Musikkompositionsmaschinen eine automatische Kulturindustrie bilden? Bisher nicht – schon weil ökonomische Motivation zur Ersetzung menschlicher Arbeit in Kunstbereichen weitgehend fehlt.\n*Doch Beispiele wie Spotify #Ai Music zeigen erste Ansätze.*",536870919]],["^15",[54,"^O","^16",536870919]],["^15",[54,"^F",45,536870919]],["^15",[54,"^X",33,536870919]],["^15",[54,"^V",45,536870919]],["^15",[54,"^U",33,536870919]],["^15",[54,"^;","~u686c5fe9-733c-46d3-b293-3ce764bfc98a",536870919]],["^15",[55,"^Q","Menschen brauchen Inspiration und Referenzmaterial ebenso für Kreativität und Reaktion → Training bringt KI auf „ähnliche Spielfläche“ wie Menschen",536870919]],["^15",[55,"^O","^16",536870919]],["^15",[55,"^F",44,536870919]],["^15",[55,"^X",33,536870919]],["^15",[55,"^V",44,536870919]],["^15",[55,"^U",33,536870919]],["^15",[55,"^;","~u686c5fe9-e558-42f5-91c7-51387e1bae60",536870919]],["^15",[56,"^Q","Wer soll von durch Ai geschaffenen Werken entlohnt werden?",536876943]],["^15",[56,"^O","^16",536870919]],["^15",[56,"^F",50,536870919]],["^15",[56,"^X",33,536870919]],["^15",[56,"^V",50,536870919]],["^15",[56,"^U",33,536876944]],["^15",[56,"^?",["^ "],536876943]],["^15",[56,"^;","~u686c5fe9-6677-44d4-a3b9-3ab6f48f1221",536870919]],["^15",[57,"^Q","Autor als Filter + KI als Filter → rekursive Kaskade, die aufeinander aufbaut",536870919]],["^15",[57,"^O","^16",536870919]],["^15",[57,"^F",43,536870919]],["^15",[57,"^X",33,536870919]],["^15",[57,"^V",35,536870919]],["^15",[57,"^U",33,536876940]],["^15",[57,"^;","~u686c5fe9-de37-40fe-a2a3-dfdcdc09f498",536870919]],["^15",[58,"^Q","→ *Siehe: „The Culture of Microwork“*",536870919]],["^15",[58,"^O","^16",536870919]],["^15",[58,"^F",38,536870919]],["^15",[58,"^X",33,536870919]],["^15",[58,"^V",39,536870919]],["^15",[58,"^U",33,536870919]],["^15",[58,"^;","~u686c5fe9-ff95-45b2-8f86-9ca0af8fd874",536870919]],["^15",[59,"^Q","Autoren sind ebenso „Filter“: nehmen Erfahrungen wahr, rekombinieren diese in undurchschaubarer Weise zu neuen Werken",536870919]],["^15",[59,"^O","^16",536870919]],["^15",[59,"^F",55,536870919]],["^15",[59,"^X",33,536870919]],["^15",[59,"^V",44,536870919]],["^15",[59,"^U",33,536870919]],["^15",[59,"^;","~u686c5fe9-46f8-4eb5-ae2c-f16b34374b5e",536870919]],["^15",[60,"^Q","Malerei war lange mit dem Mythos des kreativen, männlichen, weißen Genies verbunden → durch AI-Nutzung kann dies hinterfragt werden",536870919]],["^15",[60,"^O","^16",536870919]],["^15",[60,"^F",35,536870919]],["^15",[60,"^X",33,536870919]],["^15",[60,"^V",35,536870919]],["^15",[60,"^U",33,536876940]],["^15",[60,"^;","~u686c5fe9-0979-4921-a2ca-4b8cb440d57a",536870919]],["^15",[61,"^Q","In der neoliberalen Konkurrenz einzelner Kunstschaffender besteht die Forderung nach Neuem, Originellem und Eigenständigem",536870919]],["^15",[61,"^O","^16",536870919]],["^15",[61,"^F",41,536870919]],["^15",[61,"^X",33,536870919]],["^15",[61,"^V",48,536870919]],["^15",[61,"^U",33,536870919]],["^15",[61,"^;","~u686c5fe9-0a41-4688-bf50-5aa2d2d472d5",536870919]],["^15",[62,"^3","### KNN und Algorithmen in GANs\n\t- Datenbanken werden zum Training verwendet, so wird dem Modell eine Art „Erinnerung“ verliehen (jedoch emotionslos im Vergleich zum menschlichen Gedächtnis)\n\t- KNN-Bilderkennung: Analyseobjekt → [KNN-Schichten] → analysierte Darstellung des KNN\n\t\t- Zwischenschichten bauen zur Bilderkennung auf dem gegebenen Bild auf, verändern es und fügen Informationen aus dem Datensatz hinzu → werden sie dadurch kreativ?\n\t\t- Die Ansicht der AI auf ein Bild kann bei Pausierung der Generation auf halbem Wege ersichtlich werden\n\t\t\t- Resultierende Bilder ähneln teils Beschreibungen von Personen unter LSD-Einfluss (Forschungsansätze hierzu vorhanden)\n\t- Halluzinationen als Form der Kreativität\n\t\t- Lässt man ein Bild analysieren, kann die AI es überinterpretieren (vergleichbar mit menschlichem Pareidolie-Erleben, z.B. Sternenbilder → Wagen-Silhouette)\n\t\t- AI kann Gruppen von Neuronen/Daten als zusammengehörig interpretieren, auch wenn dies faktisch nicht zutrifft\n\t\t- Fähigkeit zur Separation und Einzelbetrachtung von Bildelementen\n\t- AI kann Situationen sehen, die Menschen verborgen bleiben\n\t\t- Beispiel Go-Spiel: sinnvolle Züge weit außerhalb menschlicher Rechenkapazität → „Schimmer“ an Kreativität\n\t- AI geht weit über die Rolle des Werkzeugs hinaus\n\t\t- Kann sich selbst weiterentwickeln und komplexe Handlungen ausführen\n\t\t- Arbeitet mit Eingaben der Künstler (Datensätze) und Generationsparametern → kollaborativ\n\t- „Die Entwickler waren kreativ, nicht die AI“\n\t\t- Analogie: Wenn ich ein Buch schreibe, ist es meine Leistung, nicht jene meines Deutschlehrers, der mir das Schreiben beibrachte\n\t- Kritische Bewertung von AI-Werken ist möglich\n\t\t- Fraglich, ob diese Bewertung rein simuliert ist, da Modelle lediglich Antworten replizieren (Quellenkritik nötig)\n- ## Kreativität – Definition und KI\n\t- Kreativität: Produktion von neuem Wissen aus bereits vorhandenem durch Problemlösungsprozesse\n\t\t- Wichtige Merkmale:\n\t\t\t- Inspiration\n\t\t\t- Intuition\n\t\t\t- Emotionen\n\t\t\t- Bewusstsein\n\t\t\t- Unberechenbarkeit\n\t\t\t- Wettbewerbsfähigkeit\n\t\t\t- Ausdauer\n\t\t\t- Externe Faktoren\n\t\t- Experimente:\n\t\t\t- In einer Simulationsumgebung, in der Roboter Nahrung suchen mussten, gelang es einigen Modellen, andere zu täuschen (Unterdrückung kommunikativer Signale) → strategisches Verhalten, erste Anzeichen von „Emotion“?\n\t\t\t- Unberechenbarkeit kann in deterministischen Systemen durch den Schmetterlingseffekt erzeugt werden\n\t\t\t- Externe Faktoren können über Internetzugang und Nachahmung erlernt werden\n\t\t- Bewusstsein:\n\t\t\t- Mit Bewusstsein kommt Fähigkeit zur Selbstkritik und eigenständigem Lernen\n\t\t\t- Philosophische Frage: Wenn Bewusstsein berechenbar ist, wie künstlich ist Intelligenz dann noch?\n\t\t\t- Michael Graziano: Bewusstsein = Kombination aller mentalen Modelle zur Filterung von Informationen auf das Wesentliche\n\t- Aktuell besitzt KI nicht die Fähigkeit, über ihre eigenen Regeln hinauszugehen, um uns zu überraschen\n\t\t- Daher sollte AI-Kunst nicht danach beurteilt werden, wie nah sie der menschlichen kommt, sondern wie viel weiter sie gehen kann\n\t\t  \n\t\t  ---\n\t- Viele vertreten eine konservative Haltung:\n\t\t- „Nur der Mensch könne Schöpfer sein“\n\t\t- Doch warum sollte dieses Attribut nur auf uns beschränkt sein? → Zur Kreativität muss stets der Mensch im Spiel sein?\n\t- AI-Artists\n\t\t- Meist Ingenieure, Entwickler und Künstler\n\t\t- Ziel: Weiterentwicklung der KI-Kunst und Erforschung ihrer Möglichkeiten",536870919]],["^15",[62,"^17",1751932905338,536870919]],["^15",[62,"^Z","pages/Ai Funktionsweise der Kreativitaet %23Note.md",536870919]],["^15",[63,"^K",1751932905440,536870919]],["^15",[63,"^[",62,536870919]],["^15",[63,"^@",false,536870919]],["^15",[63,"^Y","ai funktionsweise der kreativitaet #note",536870919]],["^15",[63,"^11","Ai Funktionsweise der Kreativitaet #Note",536870919]],["^15",[63,"^B",1751932905440,536870919]],["^15",[63,"^;","~u687e222e-af2e-4cc3-8d75-7db9a469e3d6",536878647]],["^15",[64,"^Q","Beispiel Go-Spiel: sinnvolle Züge weit außerhalb menschlicher Rechenkapazität → „Schimmer“ an Kreativität",536870919]],["^15",[64,"^O","^16",536870919]],["^15",[64,"^F",106,536870919]],["^15",[64,"^X",63,536870919]],["^15",[64,"^V",106,536870919]],["^15",[64,"^U",63,536870919]],["^15",[64,"^;","~u686c5fe9-7895-420c-af1e-c7b009c30a37",536870919]],["^15",[65,"^Q","Resultierende Bilder ähneln teils Beschreibungen von Personen unter LSD-Einfluss (Forschungsansätze hierzu vorhanden)",536870919]],["^15",[65,"^O","^16",536870919]],["^15",[65,"^F",98,536870919]],["^15",[65,"^X",63,536870919]],["^15",[65,"^V",98,536870919]],["^15",[65,"^U",63,536870919]],["^15",[65,"^;","~u686c5fe9-21f8-4288-a4eb-562255d80380",536870919]],["^15",[66,"^Q","KNN-Bilderkennung: Analyseobjekt → [KNN-Schichten] → analysierte Darstellung des KNN",536870919]],["^15",[66,"^O","^16",536870919]],["^15",[66,"^F",89,536870919]],["^15",[66,"^X",63,536870919]],["^15",[66,"^V",105,536870919]],["^15",[66,"^U",63,536870919]],["^15",[66,"^;","~u686c5fe9-97e9-46b0-9b66-63cbb9323cdf",536870919]],["^15",[67,"^Q","Kreativität: Produktion von neuem Wissen aus bereits vorhandenem durch Problemlösungsprozesse",536870919]],["^15",[67,"^O","^16",536870919]],["^15",[67,"^F",90,536870919]],["^15",[67,"^X",63,536870919]],["^15",[67,"^V",90,536870919]],["^15",[67,"^U",63,536870919]],["^15",[67,"^;","~u686c5fe9-b4a6-47fe-9106-dc225f138c98",536870919]],["^15",[68,"^Q","Unberechenbarkeit kann in deterministischen Systemen durch den Schmetterlingseffekt erzeugt werden",536870919]],["^15",[68,"^O","^16",536870919]],["^15",[68,"^F",81,536870919]],["^15",[68,"^X",63,536870919]],["^15",[68,"^V",75,536870919]],["^15",[68,"^U",63,536870919]],["^15",[68,"^;","~u686c5fe9-37cd-452a-82b9-6bb5c90afef9",536870919]],["^15",[69,"^Q","Unberechenbarkeit",536870919]],["^15",[69,"^O","^16",536870919]],["^15",[69,"^F",71,536870919]],["^15",[69,"^X",63,536870919]],["^15",[69,"^V",95,536870919]],["^15",[69,"^U",63,536870919]],["^15",[69,"^;","~u686c5fe9-ea27-4e3d-ac87-1e30f6681cac",536870919]],["^15",[70,"^Q","Lässt man ein Bild analysieren, kann die AI es überinterpretieren (vergleichbar mit menschlichem Pareidolie-Erleben, z.B. Sternenbilder → Wagen-Silhouette)",536870919]],["^15",[70,"^O","^16",536870919]],["^15",[70,"^F",73,536870919]],["^15",[70,"^X",63,536870919]],["^15",[70,"^V",73,536870919]],["^15",[70,"^U",63,536870919]],["^15",[70,"^;","~u686c5fe9-d88a-4fa0-9a4e-345ae325e7a5",536870919]],["^15",[71,"^Q","Bewusstsein",536870919]],["^15",[71,"^O","^16",536870919]],["^15",[71,"^F",87,536870919]],["^15",[71,"^X",63,536870919]],["^15",[71,"^V",95,536870919]],["^15",[71,"^U",63,536870919]],["^15",[71,"^;","~u686c5fe9-df92-42ca-9c6e-48caa0e2d0c5",536870919]],["^15",[72,"^Q","Fähigkeit zur Separation und Einzelbetrachtung von Bildelementen",536870919]],["^15",[72,"^O","^16",536870919]],["^15",[72,"^F",109,536870919]],["^15",[72,"^X",63,536870919]],["^15",[72,"^V",73,536870919]],["^15",[72,"^U",63,536870919]],["^15",[72,"^;","~u686c5fe9-ec02-438b-82b3-f636be5c70c2",536870919]],["^15",[73,"^Q","Halluzinationen als Form der Kreativität",536870919]],["^15",[73,"^O","^16",536870919]],["^15",[73,"^F",66,536870919]],["^15",[73,"^X",63,536870919]],["^15",[73,"^V",105,536870919]],["^15",[73,"^U",63,536870919]],["^15",[73,"^;","~u686c5fe9-593a-4048-b425-e6674abb7315",536870919]],["^15",[74,"^Q","Michael Graziano: Bewusstsein = Kombination aller mentalen Modelle zur Filterung von Informationen auf das Wesentliche",536870919]],["^15",[74,"^O","^16",536870919]],["^15",[74,"^F",104,536870919]],["^15",[74,"^X",63,536870919]],["^15",[74,"^V",97,536870919]],["^15",[74,"^U",63,536870919]],["^15",[74,"^;","~u686c5fe9-171d-46b9-ac48-f5fd72f00534",536870919]],["^15",[75,"^Q","Experimente:",536870919]],["^15",[75,"^O","^16",536870919]],["^15",[75,"^F",95,536870919]],["^15",[75,"^X",63,536870919]],["^15",[75,"^V",67,536870919]],["^15",[75,"^U",63,536870919]],["^15",[75,"^;","~u686c5fe9-047f-49ed-a489-475591a15215",536870919]],["^15",[76,"^Q","Viele vertreten eine konservative Haltung:",536870919]],["^15",[76,"^O","^16",536870919]],["^15",[76,"^F",84,536870919]],["^15",[76,"^X",63,536870919]],["^15",[76,"^V",90,536870919]],["^15",[76,"^U",63,536870919]],["^15",[76,"^;","~u686c5fe9-8aa8-4dd3-a38c-27be5b0a9539",536870919]],["^15",[77,"^Q","Wettbewerbsfähigkeit",536870919]],["^15",[77,"^O","^16",536870919]],["^15",[77,"^F",69,536870919]],["^15",[77,"^X",63,536870919]],["^15",[77,"^V",95,536870919]],["^15",[77,"^U",63,536870919]],["^15",[77,"^;","~u686c5fe9-e82c-43ff-a899-b1fba98c939d",536870919]],["^15",[78,"^Q","AI-Artists",536870919]],["^15",[78,"^O","^16",536870919]],["^15",[78,"^F",76,536870919]],["^15",[78,"^X",63,536870919]],["^15",[78,"^V",90,536870919]],["^15",[78,"^U",63,536870919]],["^15",[78,"^;","~u686c5fe9-9aaa-4764-857b-a38c738599d3",536870919]],["^15",[79,"^Q","Externe Faktoren",536870919]],["^15",[79,"^O","^16",536870919]],["^15",[79,"^F",80,536870919]],["^15",[79,"^X",63,536870919]],["^15",[79,"^V",95,536870919]],["^15",[79,"^U",63,536870919]],["^15",[79,"^;","~u686c5fe9-0310-4b18-b726-fb6369465f24",536870919]],["^15",[80,"^Q","Ausdauer",536870919]],["^15",[80,"^O","^16",536870919]],["^15",[80,"^F",77,536870919]],["^15",[80,"^X",63,536870919]],["^15",[80,"^V",95,536870919]],["^15",[80,"^U",63,536870919]],["^15",[80,"^;","~u686c5fe9-c646-4d36-a5cf-2470b2a92830",536870919]],["^15",[81,"^Q","In einer Simulationsumgebung, in der Roboter Nahrung suchen mussten, gelang es einigen Modellen, andere zu täuschen (Unterdrückung kommunikativer Signale) → strategisches Verhalten, erste Anzeichen von „Emotion“?",536870919]],["^15",[81,"^O","^16",536870919]],["^15",[81,"^F",75,536870919]],["^15",[81,"^X",63,536870919]],["^15",[81,"^V",75,536870919]],["^15",[81,"^U",63,536870919]],["^15",[81,"^;","~u686c5fe9-774d-4b9a-a3d1-ca954da34668",536870919]],["^15",[82,"^Q","Meist Ingenieure, Entwickler und Künstler",536870919]],["^15",[82,"^O","^16",536870919]],["^15",[82,"^F",78,536870919]],["^15",[82,"^X",63,536870919]],["^15",[82,"^V",78,536870919]],["^15",[82,"^U",63,536870919]],["^15",[82,"^;","~u686c5fe9-5afb-44eb-879e-3462d96f1ec5",536870919]],["^15",[83,"^Q","Fraglich, ob diese Bewertung rein simuliert ist, da Modelle lediglich Antworten replizieren (Quellenkritik nötig)",536870919]],["^15",[83,"^O","^16",536870919]],["^15",[83,"^F",93,536870919]],["^15",[83,"^X",63,536870919]],["^15",[83,"^V",93,536870919]],["^15",[83,"^U",63,536870919]],["^15",[83,"^;","~u686c5fe9-44e6-4ca3-a2c1-e5dd09b4f39c",536870919]],["^15",[84,"^Q","Aktuell besitzt KI nicht die Fähigkeit, über ihre eigenen Regeln hinauszugehen, um uns zu überraschen",536870919]],["^15",[84,"^O","^16",536870919]],["^15",[84,"^F",67,536870919]],["^15",[84,"^X",63,536870919]],["^15",[84,"^V",90,536870919]],["^15",[84,"^U",63,536870919]],["^15",[84,"^;","~u686c5fe9-6d5d-4cbc-b612-a025b7392211",536870919]],["^15",[85,"^Q","Inspiration",536870919]],["^15",[85,"^O","^16",536870919]],["^15",[85,"^F",95,536870919]],["^15",[85,"^X",63,536870919]],["^15",[85,"^V",95,536870919]],["^15",[85,"^U",63,536870919]],["^15",[85,"^;","~u686c5fe9-1228-4e67-90b6-a00e9fc59a5d",536870919]],["^15",[86,"^Q","Intuition",536870919]],["^15",[86,"^O","^16",536870919]],["^15",[86,"^F",85,536870919]],["^15",[86,"^X",63,536870919]],["^15",[86,"^V",95,536870919]],["^15",[86,"^U",63,536870919]],["^15",[86,"^;","~u686c5fe9-d396-4ef4-b897-aafb710029a8",536870919]],["^15",[87,"^Q","Emotionen",536870919]],["^15",[87,"^O","^16",536870919]],["^15",[87,"^F",86,536870919]],["^15",[87,"^X",63,536870919]],["^15",[87,"^V",95,536870919]],["^15",[87,"^U",63,536870919]],["^15",[87,"^;","~u686c5fe9-5027-4ae9-962b-3eaa27b8a4b3",536870919]],["^15",[88,"^Q","Doch warum sollte dieses Attribut nur auf uns beschränkt sein? → Zur Kreativität muss stets der Mensch im Spiel sein?",536870919]],["^15",[88,"^O","^16",536870919]],["^15",[88,"^F",103,536870919]],["^15",[88,"^X",63,536870919]],["^15",[88,"^V",76,536870919]],["^15",[88,"^U",63,536870919]],["^15",[88,"^;","~u686c5fe9-7fb6-41e7-9083-52c1b4c4f354",536870919]],["^15",[89,"^Q","Datenbanken werden zum Training verwendet, so wird dem Modell eine Art „Erinnerung“ verliehen (jedoch emotionslos im Vergleich zum menschlichen Gedächtnis)",536870919]],["^15",[89,"^O","^16",536870919]],["^15",[89,"^F",105,536870919]],["^15",[89,"^X",63,536870919]],["^15",[89,"^V",105,536870919]],["^15",[89,"^U",63,536870919]],["^15",[89,"^;","~u686c5fe9-7c95-4696-9adc-8ae7716ebcd6",536870919]],["^15",[90,"^Q","## Kreativität – Definition und KI",536870919]],["^15",[90,"^O","^16",536870919]],["^15",[90,"^F",105,536870919]],["^15",[90,"^X",63,536870919]],["^15",[90,"^V",63,536870919]],["^15",[90,"^U",63,536870919]],["^15",[90,"^?",["^ ","^1;",2],536870919]],["^15",[90,"^J",[],536870919]],["^15",[90,"^;","~u686c5fe9-8ccd-4861-8269-1faae261a548",536870919]],["^15",[91,"^Q","„Die Entwickler waren kreativ, nicht die AI“",536870919]],["^15",[91,"^O","^16",536870919]],["^15",[91,"^F",108,536870919]],["^15",[91,"^X",63,536870919]],["^15",[91,"^V",105,536870919]],["^15",[91,"^U",63,536870919]],["^15",[91,"^;","~u686c5fe9-5cf4-446d-892d-cf26a8a2a22f",536870919]],["^15",[92,"^Q","Externe Faktoren können über Internetzugang und Nachahmung erlernt werden",536870919]],["^15",[92,"^O","^16",536870919]],["^15",[92,"^F",68,536870919]],["^15",[92,"^X",63,536870919]],["^15",[92,"^V",75,536870919]],["^15",[92,"^U",63,536870919]],["^15",[92,"^;","~u686c5fe9-e477-4302-94e1-4430d103071c",536870919]],["^15",[93,"^Q","Kritische Bewertung von AI-Werken ist möglich",536870919]],["^15",[93,"^O","^16",536870919]],["^15",[93,"^F",91,536870919]],["^15",[93,"^X",63,536870919]],["^15",[93,"^V",105,536870919]],["^15",[93,"^U",63,536870919]],["^15",[93,"^;","~u686c5fe9-6ac9-49df-9dd4-68f67d0f85ea",536870919]],["^15",[94,"^Q","Daher sollte AI-Kunst nicht danach beurteilt werden, wie nah sie der menschlichen kommt, sondern wie viel weiter sie gehen kann\n\n---",536870919]],["^15",[94,"^O","^16",536870919]],["^15",[94,"^F",84,536870919]],["^15",[94,"^X",63,536870919]],["^15",[94,"^V",84,536870919]],["^15",[94,"^U",63,536870919]],["^15",[94,"^;","~u686c5fe9-f754-4c40-8a80-5630b164bfe9",536870919]],["^15",[95,"^Q","Wichtige Merkmale:",536870919]],["^15",[95,"^O","^16",536870919]],["^15",[95,"^F",67,536870919]],["^15",[95,"^X",63,536870919]],["^15",[95,"^V",67,536870919]],["^15",[95,"^U",63,536870919]],["^15",[95,"^;","~u686c5fe9-3518-4f71-8f3a-32846ad77b48",536870919]],["^15",[96,"^Q","Kann sich selbst weiterentwickeln und komplexe Handlungen ausführen",536870919]],["^15",[96,"^O","^16",536870919]],["^15",[96,"^F",108,536870919]],["^15",[96,"^X",63,536870919]],["^15",[96,"^V",108,536870919]],["^15",[96,"^U",63,536870919]],["^15",[96,"^;","~u686c5fe9-2305-414d-b142-eede0deafc8c",536870919]],["^15",[97,"^Q","Bewusstsein:",536870919]],["^15",[97,"^O","^16",536870919]],["^15",[97,"^F",75,536870919]],["^15",[97,"^X",63,536870919]],["^15",[97,"^V",67,536870919]],["^15",[97,"^U",63,536870919]],["^15",[97,"^;","~u686c5fe9-e0af-4ddb-9d32-0cdfc6315b83",536870919]],["^15",[98,"^Q","Die Ansicht der AI auf ein Bild kann bei Pausierung der Generation auf halbem Wege ersichtlich werden",536870919]],["^15",[98,"^O","^16",536870919]],["^15",[98,"^F",101,536870919]],["^15",[98,"^X",63,536870919]],["^15",[98,"^V",66,536870919]],["^15",[98,"^U",63,536870919]],["^15",[98,"^;","~u686c5fe9-7277-4935-afe9-0b737ea7f8a1",536870919]],["^15",[99,"^Q","Analogie: Wenn ich ein Buch schreibe, ist es meine Leistung, nicht jene meines Deutschlehrers, der mir das Schreiben beibrachte",536870919]],["^15",[99,"^O","^16",536870919]],["^15",[99,"^F",91,536870919]],["^15",[99,"^X",63,536870919]],["^15",[99,"^V",91,536870919]],["^15",[99,"^U",63,536870919]],["^15",[99,"^;","~u686c5fe9-97c9-40c9-aca9-2140b71693bb",536870919]],["^15",[100,"^Q","Arbeitet mit Eingaben der Künstler (Datensätze) und Generationsparametern → kollaborativ",536870919]],["^15",[100,"^O","^16",536870919]],["^15",[100,"^F",96,536870919]],["^15",[100,"^X",63,536870919]],["^15",[100,"^V",108,536870919]],["^15",[100,"^U",63,536870919]],["^15",[100,"^;","~u686c5fe9-7c66-4e2f-a97e-6ca428cfc28f",536870919]],["^15",[101,"^Q","Zwischenschichten bauen zur Bilderkennung auf dem gegebenen Bild auf, verändern es und fügen Informationen aus dem Datensatz hinzu → werden sie dadurch kreativ?",536870919]],["^15",[101,"^O","^16",536870919]],["^15",[101,"^F",66,536870919]],["^15",[101,"^X",63,536870919]],["^15",[101,"^V",66,536870919]],["^15",[101,"^U",63,536870919]],["^15",[101,"^;","~u686c5fe9-3eeb-4447-98fb-5e598fa695b8",536870919]],["^15",[102,"^Q","Ziel: Weiterentwicklung der KI-Kunst und Erforschung ihrer Möglichkeiten",536870919]],["^15",[102,"^O","^16",536870919]],["^15",[102,"^F",82,536870919]],["^15",[102,"^X",63,536870919]],["^15",[102,"^V",78,536870919]],["^15",[102,"^U",63,536870919]],["^15",[102,"^;","~u686c5fe9-cf62-451c-8ecd-11999562ceb0",536870919]],["^15",[103,"^Q","„Nur der Mensch könne Schöpfer sein“",536870919]],["^15",[103,"^O","^16",536870919]],["^15",[103,"^F",76,536870919]],["^15",[103,"^X",63,536870919]],["^15",[103,"^V",76,536870919]],["^15",[103,"^U",63,536870919]],["^15",[103,"^;","~u686c5fe9-b834-481d-bae4-072e8bedf8f6",536870919]],["^15",[104,"^Q","Philosophische Frage: Wenn Bewusstsein berechenbar ist, wie künstlich ist Intelligenz dann noch?",536870919]],["^15",[104,"^O","^16",536870919]],["^15",[104,"^F",107,536870919]],["^15",[104,"^X",63,536870919]],["^15",[104,"^V",97,536870919]],["^15",[104,"^U",63,536870919]],["^15",[104,"^;","~u686c5fe9-2c00-4cd2-8268-922550120d4f",536870919]],["^15",[105,"^Q","### KNN und Algorithmen in GANs",536870919]],["^15",[105,"^O","^16",536870919]],["^15",[105,"^F",63,536870919]],["^15",[105,"^X",63,536870919]],["^15",[105,"^V",63,536870919]],["^15",[105,"^U",63,536870919]],["^15",[105,"^?",["^ ","^1;",3],536870919]],["^15",[105,"^J",[],536870919]],["^15",[105,"^;","~u686c5fe9-5086-4892-83ee-f5cc7106d82c",536870919]],["^15",[106,"^Q","AI kann Situationen sehen, die Menschen verborgen bleiben",536870919]],["^15",[106,"^O","^16",536870919]],["^15",[106,"^F",73,536870919]],["^15",[106,"^X",63,536870919]],["^15",[106,"^V",105,536870919]],["^15",[106,"^U",63,536870919]],["^15",[106,"^;","~u686c5fe9-dd7e-4081-a1e1-42826c389b0f",536870919]],["^15",[107,"^Q","Mit Bewusstsein kommt Fähigkeit zur Selbstkritik und eigenständigem Lernen",536870919]],["^15",[107,"^O","^16",536870919]],["^15",[107,"^F",97,536870919]],["^15",[107,"^X",63,536870919]],["^15",[107,"^V",97,536870919]],["^15",[107,"^U",63,536870919]],["^15",[107,"^;","~u686c5fe9-ffa8-4926-aef6-02a945d910d4",536870919]],["^15",[108,"^Q","AI geht weit über die Rolle des Werkzeugs hinaus",536870919]],["^15",[108,"^O","^16",536870919]],["^15",[108,"^F",106,536870919]],["^15",[108,"^X",63,536870919]],["^15",[108,"^V",105,536870919]],["^15",[108,"^U",63,536870919]],["^15",[108,"^;","~u686c5fe9-ede2-461e-9db9-8822ab95e5e4",536870919]],["^15",[109,"^Q","AI kann Gruppen von Neuronen/Daten als zusammengehörig interpretieren, auch wenn dies faktisch nicht zutrifft",536870919]],["^15",[109,"^O","^16",536870919]],["^15",[109,"^F",70,536870919]],["^15",[109,"^X",63,536870919]],["^15",[109,"^V",73,536870919]],["^15",[109,"^U",63,536870919]],["^15",[109,"^;","~u686c5fe9-14d0-4b21-9cc4-9057fedae564",536870919]],["^15",[110,"^3","# Deffinition Ai art\n\t- Es gibt nicht **„die AI“**\n\t\t- Vielmehr ist es ein sehr vielfältiges Forschungsfeld aus Medien, Algorithmen und Programmierung\n\t\t- Forschungsfelder weiten sich von Robotik, Informatik und Automatisierung auf Kommunikationswissenschaften, Neuro- und Psychologie (und weitere) aus\n\t\t- Themenfelder:\n\t\t\t- Mustererkennung\n\t\t\t- Simulation von Kreativität und intelligentem Verhalten\n\t\t\t- Problemlösungen und Suchsysteme\n\t\t- AI als Expertensystem ersetzt frühere Technologien\n\t- Mentale Vorgänge (Denken)\n\t\t- Können durch elektrische oder mechanische Vorgänge simuliert werden\n\t\t- Eine der bedeutendsten Erkenntnisse der letzten 100 Jahre\n\t\t- Künstliche neuronale Netzwerke → Deep Learning\n\t- AI Kunst ist Teil der algorithmischen Kunst\n\t\t- Kunst, die basierend auf einer Handlungsverschrift bei gegebenen Eingabewerten einen erwartbaren Ausgabewert (Funktionswert) liefert\n\t\t- Der Nutzer kann selbst zum Parameter werden und so das Bild verändern\n\t\t- Computer Art existiert seit den 1960er Jahren\n\t\t- Spätestens seit den ersten generativen Bildmodellen ist klar: Computer sind fähig, Künstler (zumindest teilweise) zu ersetzen\n\t- Erkennung computer-generierter Bilder vs. menschengemachter Bilder als neue Art des Turing-Tests\n\t\t- \"Who is generated, who is born?\"\n\t\t- Diese Frage wird obsolet, wenn Maschinen zunehmend kreativer erscheinen oder tatsächlich werden\n- # Ai und Kunst\n\t- AI Art emigriert aus menschlichen und nicht-menschlichen Netzwerken:\n\t\t- Sie ist mehr als das bloße Endresultat\n\t\t- Gemeinsames kreatives Handeln\n\t\t- --> Kokreativität: Der Bias des Datensatzes beeinflusst das Endresultat und wird auch durch kulturell eingeschriebene beziehungsweise eincodierte Machtverhältnisse und Politiken bestimmt\n\t- ## Frage: Braucht es einen moderneren Begriff – was ist Kunst?\n\t\t- Die Position der KI wird in verschiedensten Kreisen anders bewertet und ist umstritten\n\t\t\t- Valide Künstler, Hilfsmittel oder bloße Rekreationsmaschine?\n\t\t- Fakt ist: Sie ist im künstlerischen Bereich bereits angekommen und wird in Kunsthäusern versteigert und ausgestellt (z.B. zeichnender Roboter AI-DA)\n\t- ## Funktionen\n\t  collapsed:: true\n\t\t- Filter\n\t\t- Bild-, Text-, Video-, Audio-Generierung für Menschen\n\t\t- Deepfakes (kann bereits empathisch erscheinen)\n\t\t- Avancierte Robotik\n\t\t\t- Optimierung und Planung in der weltweiten Wirtschaft\n\t\t- Daten dienen dabei als Pigment oder Stimmband\n\t\t- Zeigen vermeintlich intelligentes Verhalten, indem sie auf Eingaben (Trigger) durch vorher Gelerntes (ggf. mit induzierter zufälliger Varianz) entsprechend reagieren, um ein Problem zu lösen\n\t- ## Funktionsweise KI\n\t\t- Ob KI Kreativität, Intelligenz oder gar freier Wille zugesprochen wird, ist stark debattiert, sowohl in der Kunst als auch in der Philosophie\n\t\t\t- Es gibt immer wieder Artikel, die berichten, dass Modelle in Laborumgebungen lügen würden, um das eigene Abschalten zu verhindern. Wahrscheinlich ist dieses Verhalten jedoch lediglich auf die Replikation menschlichen Verhaltens, welches in den Trainingsdaten beinhaltet war, zurückzuführen. Zu 100% nachvollziehbar ist dies jedoch nicht.\n\t\t- Die Rohstoffe von KI sind Informationen und Daten\n\t\t- Algorithmen bieten die Regeln, wie eine Lösung gefunden werden soll. Beim Machine Learning wird zusätzlich auf mehrere Ebenen von Daten zugegriffen, um ein Ergebnis zu erzielen.\n\t\t\t- Ein GAN-Modell kann dabei von sich selbst lernen:\n\t\t\t\t- Zunächst wird ein Diskriminator mit großen Datenmengen angelernt\n\t\t\t\t- Ein Generator versucht dann, den Diskriminator davon zu überzeugen, dass entsprechend generierte Bilder nicht generiert waren\n\t\t\t\t- Für die Generierung werden die Beschaffenheiten der zum Lernen des Diskriminators verwendeten Daten genutzt. Es wird versucht, die Merkmale zu rekreieren.\n\t\t\t\t- Es handelt sich um eine emulative Kunstform (dazu gehören auch Morphing, Remix und Mash-up)\n\t\t\t- CAN-Modelle sind darüber hinaus besonders darauf spezialisiert, aus gelernten Daten etwas Transformatives, d.h. Neues, zu erschaffen statt Altes zu reproduzieren\n\t\t- Bei der Entwicklung von Modellen stellt gerade die bildende Kunst (in der Robotik) ein Hauptforschungsfeld dar. Sie bietet die Möglichkeit der visuellen Darstellung der Funktionsweise neuronaler Netze (auch publikumswirksam)\n\t\t\t- Kreativität wird somit als Evidenz für Intelligenz gesetzt\n\t- #### Fragen\n\t\t- Was wird KI?\n\t\t\t- Ein weiteres Tool für Künstler bei der Entwicklung von Kunst\n\t\t\t- Metamorphosische (GANische) automatisierte Rekreationsmaschine durch Formsprachen?\n\t\t\t\t- Wird KI vollautonomer Künstler?\n\t\t\t\t- Besteht die Zukunft in Kokreativität?\n\t\t\t- Evolution der menschlichen Kunst zu nie zuvor gekannten Darstellungen?\n\t\t- Wer ist der Künstler?\n\t\t\t- Das Modell selbst\n\t\t\t- Der Verfasser des Algorithmus\n\t\t\t- Der Künstler, der das Modell bedient\n\t\t\t- Diejenigen, von denen die Trainingsdaten stammen\n\t- ## Transformation\n\t\t- Die Aufweitung des Kunstbegriffs oder allein die Möglichkeit der Kunstschaffung durch autonome, nicht-menschliche Akteure begeistert und beunruhigt gleichermaßen\n\t\t- Der Kapitalismus im digitalen Zeitalter fördert zunehmend die fließbandartige Produktion von Kunst, was die Adoption von AI Art ungemein begünstigt\n\t\t\t- Gleichzeitig werden dadurch ohnehin schon oft kaum von ihren Werken lebende Künstler weiter verdrängt (durch gleich-qualitative Werke oder die schiere Masse an diesen)\n\t\t- Die AI setzt außerdem den Trend der Nichtigkeit des digitalen Besitztums fort:\n\t\t\t- Sie kann Imitationen nicht nur von realen Personen, sondern auch von Konzepten erstellen (die meisten Modelle bestehen aus dieser Idee)\n\t\t\t- Wer besitzt die Rechte an einem Zeichenstil?\n\t\t\t- AI besitzt die Kraft, Neues mit Bedeutung und Sinn aus Altem zu erstellen – man bezeichnet dies als \"Computational Creativity\"\n\t\t- Mit welcher Intention gestaltet AI?\n\t\t\t- Kann das bloße Antworten auf Fragen genug Intention für wahre Kreativität mit sich bringen?\n\t\t- Andererseits: Was ist menschliche Kreativität?\n\t\t\t- Entsteht diese nicht auch bloß durch die Aufnahme äußerer Wahrnehmungen und deren Interpretation?\n\t\t\t- Entsteht dadurch nicht erst der einzigartige Stil, der jeden Künstler auszeichnet?\n\t\t\t- Inwiefern unterscheidet sich diese Art der Kreativität von jener der AI?\n\t\t\t- Repräsentative Umfragen zeigen immer wieder: Gerade bei künstlerischen Werken (z.B. Malerei) ist nicht mehr zwischen Generation und menschlichem Werk unterscheidbar, die Inspirationsgefühle bei der Betrachtung sind ebenso gleich\n\t- ## Offene Fragen\n\t\t- Wie umgehen mit Bottom-Up-AI?\n\t\t- Wer ist Urheber bei der Aufbereitung alter Werke (Übertragung auf KI)?\n\t\t- AI außerhalb der Kunst: Vergleich Code/Textarbeit\n\t\t- KI vermittelt fast religiöse Zustände:\n\t\t\t- Sie macht uns Angst, Angst uns zu ersetzen\n\t\t\t- Gleichzeitig regt sie die Hoffnung, sie könnte uns helfen\n\t\t- Wer spricht eigentlich zu wem?\n\t\t\t- Bias und Gefahr der Trainingsdaten\n-\n-\n-",536874447]],["^15",[110,"^17",1751932905357,536870919]],["^15",[110,"^18","~m1752677310626",536876339]],["^15",[110,"^Z","pages/Ai Kreativitaet %23Note.md",536870919]],["^15",[111,"^K",1751932905440,536870919]],["^15",[111,"^[",110,536870919]],["^15",[111,"^@",false,536870919]],["^15",[111,"^Y","ai kreativitaet #note",536870919]],["^15",[111,"^11","Ai Kreativitaet #Note",536870919]],["^15",[111,"^B",1752669896454,536874442]],["^15",[111,"^;","~u687e222e-9246-4e77-b870-ea8052f7ba3a",536878647]],["^15",[112,"^Q","Wer spricht eigentlich zu wem?",536870919]],["^15",[112,"^O","^16",536870919]],["^15",[112,"^F",156,536870919]],["^15",[112,"^X",111,536870919]],["^15",[112,"^V",190,536870919]],["^15",[112,"^U",111,536870919]],["^15",[112,"^;","~u686c5fe9-ac80-40ed-8da1-8e55dee608eb",536870919]],["^15",[113,"^Q","Wer ist der Künstler?",536870919]],["^15",[113,"^O","^16",536870919]],["^15",[113,"^F",118,536870919]],["^15",[113,"^X",111,536870919]],["^15",[113,"^V",129,536870919]],["^15",[113,"^U",111,536870919]],["^15",[113,"^;","~u686c5fe9-b36a-432b-9110-964d9821a9db",536870919]],["^15",[114,"^Q","Spätestens seit den ersten generativen Bildmodellen ist klar: Computer sind fähig, Künstler (zumindest teilweise) zu ersetzen",536870919]],["^15",[114,"^O","^16",536870919]],["^15",[114,"^F",120,536870919]],["^15",[114,"^X",111,536870919]],["^15",[114,"^V",176,536870919]],["^15",[114,"^U",111,536870919]],["^15",[114,"^;","~u686c5fe9-86b6-4687-972a-b16b72d874be",536870919]],["^15",[115,"^Q","Sie kann Imitationen nicht nur von realen Personen, sondern auch von Konzepten erstellen (die meisten Modelle bestehen aus dieser Idee)",536870919]],["^15",[115,"^O","^16",536870919]],["^15",[115,"^F",121,536870919]],["^15",[115,"^X",111,536870919]],["^15",[115,"^V",121,536870919]],["^15",[115,"^U",111,536870919]],["^15",[115,"^;","~u686c5fe9-f07c-4c18-8b2e-c58ad95b3b44",536870919]],["^15",[116,"^Q","\"Who is generated, who is born?\"",536870919]],["^15",[116,"^O","^16",536870919]],["^15",[116,"^F",192,536870919]],["^15",[116,"^X",111,536870919]],["^15",[116,"^V",192,536870919]],["^15",[116,"^U",111,536870919]],["^15",[116,"^;","~u686c5fe9-d2d5-49b7-a206-0309feab26c9",536870919]],["^15",[117,"^Q","Die Aufweitung des Kunstbegriffs oder allein die Möglichkeit der Kunstschaffung durch autonome, nicht-menschliche Akteure begeistert und beunruhigt gleichermaßen",536870919]],["^15",[117,"^O","^16",536870919]],["^15",[117,"^F",188,536870919]],["^15",[117,"^X",111,536870919]],["^15",[117,"^V",188,536870919]],["^15",[117,"^U",111,536870919]],["^15",[117,"^;","~u686c5fe9-0422-4ab1-920f-0f7105c18c6f",536870919]],["^15",[118,"^Q","Was wird KI?",536870919]],["^15",[118,"^O","^16",536870919]],["^15",[118,"^F",129,536870919]],["^15",[118,"^X",111,536870919]],["^15",[118,"^V",129,536870919]],["^15",[118,"^U",111,536870919]],["^15",[118,"^;","~u686c5fe9-1394-4a26-8a2d-d8b3cb8778ba",536870919]],["^15",[119,"^Q","## Funktionsweise KI",536870919]],["^15",[119,"^O","^16",536870919]],["^15",[119,"^F",198,536870919]],["^15",[119,"^X",111,536870919]],["^15",[119,"^V",147,536870919]],["^15",[119,"^U",111,536870919]],["^15",[119,"^?",["^ ","^1;",2],536870919]],["^15",[119,"^J",[],536870919]],["^15",[119,"^;","~u686c5fe9-2cc7-46b6-b934-0b528f296251",536870919]],["^15",[120,"^Q","Computer Art existiert seit den 1960er Jahren",536870919]],["^15",[120,"^O","^16",536870919]],["^15",[120,"^F",151,536870919]],["^15",[120,"^X",111,536870919]],["^15",[120,"^V",176,536870919]],["^15",[120,"^U",111,536870919]],["^15",[120,"^;","~u686c5fe9-96d7-4cdc-8210-f63a09a4fc75",536870919]],["^15",[121,"^Q","Die AI setzt außerdem den Trend der Nichtigkeit des digitalen Besitztums fort:",536870919]],["^15",[121,"^O","^16",536870919]],["^15",[121,"^F",201,536870919]],["^15",[121,"^X",111,536870919]],["^15",[121,"^V",188,536870919]],["^15",[121,"^U",111,536870919]],["^15",[121,"^;","~u686c5fe9-86ce-4c87-8843-fdd7b4e5c7c4",536870919]],["^15",[122,"^Q","Avancierte Robotik",536870919]],["^15",[122,"^O","^16",536870919]],["^15",[122,"^F",186,536870919]],["^15",[122,"^X",111,536870919]],["^15",[122,"^V",198,536870919]],["^15",[122,"^U",111,536870919]],["^15",[122,"^;","~u686c5fe9-b397-469c-a6a2-32a8a3d56f6e",536870919]],["^15",[123,"^Q","Mit welcher Intention gestaltet AI?",536870919]],["^15",[123,"^O","^16",536870919]],["^15",[123,"^F",121,536870919]],["^15",[123,"^X",111,536870919]],["^15",[123,"^V",188,536870919]],["^15",[123,"^U",111,536870919]],["^15",[123,"^;","~u686c5fe9-42be-4f73-8f5d-d64a3be14d90",536870919]],["^15",[124,"^Q","Diejenigen, von denen die Trainingsdaten stammen",536870919]],["^15",[124,"^O","^16",536870919]],["^15",[124,"^F",138,536870919]],["^15",[124,"^X",111,536870919]],["^15",[124,"^V",113,536870919]],["^15",[124,"^U",111,536870919]],["^15",[124,"^;","~u686c5fe9-8483-4d28-bad4-20b55d8a683f",536870919]],["^15",[125,"^Q","Valide Künstler, Hilfsmittel oder bloße Rekreationsmaschine?",536870919]],["^15",[125,"^O","^16",536870919]],["^15",[125,"^F",171,536870919]],["^15",[125,"^X",111,536870919]],["^15",[125,"^V",171,536870919]],["^15",[125,"^U",111,536874439]],["^15",[125,"^;","~u686c5fe9-65ae-43b8-9271-ec9b6d64f279",536870919]],["^15",[126,"^Q","Daten dienen dabei als Pigment oder Stimmband",536870919]],["^15",[126,"^O","^16",536870919]],["^15",[126,"^F",122,536870919]],["^15",[126,"^X",111,536870919]],["^15",[126,"^V",198,536870919]],["^15",[126,"^U",111,536870919]],["^15",[126,"^;","~u686c5fe9-217e-46ad-a69c-0d4d38d1a72d",536870919]],["^15",[127,"^Q","Simulation von Kreativität und intelligentem Verhalten",536870919]],["^15",[127,"^O","^16",536870919]],["^15",[127,"^F",177,536870919]],["^15",[127,"^X",111,536870919]],["^15",[127,"^V",139,536870919]],["^15",[127,"^U",111,536870919]],["^15",[127,"^;","~u686c5fe9-6249-4012-ab19-e227af8e8df6",536870919]],["^15",[128,"^Q","Wie umgehen mit Bottom-Up-AI?",536870919]],["^15",[128,"^O","^16",536870919]],["^15",[128,"^F",190,536870919]],["^15",[128,"^X",111,536870919]],["^15",[128,"^V",190,536870919]],["^15",[128,"^U",111,536870919]],["^15",[128,"^;","~u686c5fe9-2550-481f-a6da-f64f702a0a35",536870919]],["^15",[129,"^Q","#### Fragen",536870919]],["^15",[129,"^O","^16",536870919]],["^15",[129,"^F",119,536870919]],["^15",[129,"^X",111,536870919]],["^15",[129,"^V",147,536870919]],["^15",[129,"^U",111,536870919]],["^15",[129,"^?",["^ ","^1;",4],536870919]],["^15",[129,"^J",[],536870919]],["^15",[129,"^;","~u686c5fe9-3c03-4f23-a1db-45f631583aac",536870919]],["^15",[130,"^Q","Wird KI vollautonomer Künstler?",536870919]],["^15",[130,"^O","^16",536870919]],["^15",[130,"^F",155,536870919]],["^15",[130,"^X",111,536870919]],["^15",[130,"^V",155,536870919]],["^15",[130,"^U",111,536870919]],["^15",[130,"^;","~u686c5fe9-9770-4381-974b-f358631e0246",536870919]],["^15",[131,"^Q","Vielmehr ist es ein sehr vielfältiges Forschungsfeld aus Medien, Algorithmen und Programmierung",536870919]],["^15",[131,"^O","^16",536870919]],["^15",[131,"^F",144,536870919]],["^15",[131,"^X",111,536870919]],["^15",[131,"^V",144,536870919]],["^15",[131,"^U",111,536870919]],["^15",[131,"^;","~u686c5fe9-3f7a-4ec9-8472-5b5a88d6086b",536870919]],["^15",[132,"^Q","Ob KI Kreativität, Intelligenz oder gar freier Wille zugesprochen wird, ist stark debattiert, sowohl in der Kunst als auch in der Philosophie",536870919]],["^15",[132,"^O","^16",536870919]],["^15",[132,"^F",119,536870919]],["^15",[132,"^X",111,536870919]],["^15",[132,"^V",119,536870919]],["^15",[132,"^U",111,536870919]],["^15",[132,"^;","~u686c5fe9-ed23-41ba-8ae6-912c24f2b06c",536870919]],["^15",[133,"^Q","Entsteht diese nicht auch bloß durch die Aufnahme äußerer Wahrnehmungen und deren Interpretation?",536870919]],["^15",[133,"^O","^16",536870919]],["^15",[133,"^F",196,536870919]],["^15",[133,"^X",111,536870919]],["^15",[133,"^V",196,536870919]],["^15",[133,"^U",111,536870919]],["^15",[133,"^;","~u686c5fe9-067c-4919-926b-3b47544d0149",536870919]],["^15",[134,"^Q","Sie macht uns Angst, Angst uns zu ersetzen",536870919]],["^15",[134,"^O","^16",536870919]],["^15",[134,"^F",156,536870919]],["^15",[134,"^X",111,536870919]],["^15",[134,"^V",156,536870919]],["^15",[134,"^U",111,536870919]],["^15",[134,"^;","~u686c5fe9-0dd5-463e-badd-f2417e261b94",536870919]],["^15",[135,"^Q","Besteht die Zukunft in Kokreativität?",536870919]],["^15",[135,"^O","^16",536870919]],["^15",[135,"^F",130,536870919]],["^15",[135,"^X",111,536870919]],["^15",[135,"^V",155,536870919]],["^15",[135,"^U",111,536870919]],["^15",[135,"^;","~u686c5fe9-3358-4eee-8332-7cbc53da30d3",536870919]],["^15",[136,"^Q","Zeigen vermeintlich intelligentes Verhalten, indem sie auf Eingaben (Trigger) durch vorher Gelerntes (ggf. mit induzierter zufälliger Varianz) entsprechend reagieren, um ein Problem zu lösen",536870919]],["^15",[136,"^O","^16",536870919]],["^15",[136,"^F",126,536870919]],["^15",[136,"^X",111,536870919]],["^15",[136,"^V",198,536870919]],["^15",[136,"^U",111,536870919]],["^15",[136,"^;","~u686c5fe9-c032-40af-a28a-1378bed1f406",536870919]],["^15",[137,"^Q","Problemlösungen und Suchsysteme",536870919]],["^15",[137,"^O","^16",536870919]],["^15",[137,"^F",127,536870919]],["^15",[137,"^X",111,536870919]],["^15",[137,"^V",139,536870919]],["^15",[137,"^U",111,536870919]],["^15",[137,"^;","~u686c5fe9-ff2f-4392-9241-6ad28382e480",536870919]],["^15",[138,"^Q","Der Künstler, der das Modell bedient",536870919]],["^15",[138,"^O","^16",536870919]],["^15",[138,"^F",152,536870919]],["^15",[138,"^X",111,536870919]],["^15",[138,"^V",113,536870919]],["^15",[138,"^U",111,536870919]],["^15",[138,"^;","~u686c5fe9-f244-4caf-b96d-57b904a4be41",536870919]],["^15",[139,"^Q","Themenfelder:",536870919]],["^15",[139,"^O","^16",536870919]],["^15",[139,"^F",191,536870919]],["^15",[139,"^X",111,536870919]],["^15",[139,"^V",144,536870919]],["^15",[139,"^U",111,536870919]],["^15",[139,"^;","~u686c5fe9-f3e3-47ec-9c31-ead4f0b3fc53",536870919]],["^15",[140,"^Q","Diese Frage wird obsolet, wenn Maschinen zunehmend kreativer erscheinen oder tatsächlich werden",536870919]],["^15",[140,"^O","^16",536870919]],["^15",[140,"^F",116,536870919]],["^15",[140,"^X",111,536870919]],["^15",[140,"^V",192,536870919]],["^15",[140,"^U",111,536870919]],["^15",[140,"^;","~u686c5fe9-d26d-43c8-a049-612c3dc8dcea",536870919]],["^15",[141,"^Q","Wer ist Urheber bei der Aufbereitung alter Werke (Übertragung auf KI)?",536870919]],["^15",[141,"^O","^16",536870919]],["^15",[141,"^F",128,536870919]],["^15",[141,"^X",111,536870919]],["^15",[141,"^V",190,536870919]],["^15",[141,"^U",111,536870919]],["^15",[141,"^;","~u686c5fe9-fb79-463d-82ff-ed2d5ba4420d",536870919]],["^15",[142,"^Q","Bei der Entwicklung von Modellen stellt gerade die bildende Kunst (in der Robotik) ein Hauptforschungsfeld dar. Sie bietet die Möglichkeit der visuellen Darstellung der Funktionsweise neuronaler Netze (auch publikumswirksam)",536870919]],["^15",[142,"^O","^16",536870919]],["^15",[142,"^F",172,536870919]],["^15",[142,"^X",111,536870919]],["^15",[142,"^V",119,536870919]],["^15",[142,"^U",111,536870919]],["^15",[142,"^;","~u686c5fe9-f13c-4bb1-8ab3-c833222d2762",536870919]],["^15",[143,"^Q","Die Rohstoffe von KI sind Informationen und Daten",536870919]],["^15",[143,"^O","^16",536870919]],["^15",[143,"^F",132,536870919]],["^15",[143,"^X",111,536870919]],["^15",[143,"^V",119,536870919]],["^15",[143,"^U",111,536870919]],["^15",[143,"^;","~u686c5fe9-fcc4-4f7d-8bdf-bb7a9f6c7f38",536870919]],["^15",[144,"^Q","Es gibt nicht **„die AI“**",536870919]],["^15",[144,"^O","^16",536870919]],["^15",[144,"^F",185,536870919]],["^15",[144,"^X",111,536870919]],["^15",[144,"^V",185,536870919]],["^15",[144,"^U",111,536870919]],["^15",[144,"^;","~u686c5fe9-80b3-450e-b633-a0ca6ccf200b",536870919]],["^15",[145,"^Q","## Frage: Braucht es einen moderneren Begriff – was ist Kunst?",536870919]],["^15",[145,"^O","^16",536870919]],["^15",[145,"^F",161,536874438]],["^15",[145,"^X",111,536870919]],["^15",[145,"^V",147,536870919]],["^15",[145,"^U",111,536870919]],["^15",[145,"^?",["^ ","^1;",2],536870919]],["^15",[145,"^J",[],536870919]],["^15",[145,"^;","~u686c5fe9-9be8-4ed0-bdfc-36208734c7ac",536870919]],["^15",[146,"^Q","",536870919]],["^15",[146,"^O","^16",536870919]],["^15",[146,"^F",147,536870919]],["^15",[146,"^X",111,536870919]],["^15",[146,"^V",111,536870919]],["^15",[146,"^U",111,536870919]],["^15",[146,"^;","~u686c5fe9-ab7c-4799-8400-13fd3843de89",536870919]],["^15",[147,"^M",false,536874425]],["^15",[147,"^Q","# Ai und Kunst\ncollapsed:: true",536870919]],["^15",[147,"^O","^16",536870919]],["^15",[147,"^F",185,536870919]],["^15",[147,"^X",111,536870919]],["^15",[147,"^V",111,536870919]],["^15",[147,"^U",111,536870919]],["^15",[147,"^?",["^ ","^1;",1],536870919]],["^15",[147,"^J",[],536870919]],["^15",[147,"^4",["^ "],536870919]],["^15",[147,"^;","~u686c5fe9-081c-44ce-84bc-c5036e701843",536870919]],["^15",[148,"^Q","--> Kokreativität: Der Bias des Datensatzes beeinflusst das Endresultat und wird auch durch kulturell eingeschriebene beziehungsweise eincodierte Machtverhältnisse und Politiken bestimmt",536874442]],["^15",[148,"^O","^16",536870919]],["^15",[148,"^F",184,536874438]],["^15",[148,"^X",111,536870919]],["^15",[148,"^V",161,536874438]],["^15",[148,"^U",111,536870919]],["^15",[148,"^?",["^ "],536874442]],["^15",[148,"^;","~u686c5fe9-f7f1-423c-88ee-835a90c6e8c0",536870919]],["^15",[149,"^Q","Für die Generierung werden die Beschaffenheiten der zum Lernen des Diskriminators verwendeten Daten genutzt. Es wird versucht, die Merkmale zu rekreieren.",536870919]],["^15",[149,"^O","^16",536870919]],["^15",[149,"^F",157,536870919]],["^15",[149,"^X",111,536870919]],["^15",[149,"^V",153,536870919]],["^15",[149,"^U",111,536870919]],["^15",[149,"^;","~u686c5fe9-307d-4c42-a3ae-e340241b2b1f",536870919]],["^15",[150,"^Q","Wer besitzt die Rechte an einem Zeichenstil?",536870919]],["^15",[150,"^O","^16",536870919]],["^15",[150,"^F",115,536870919]],["^15",[150,"^X",111,536870919]],["^15",[150,"^V",121,536870919]],["^15",[150,"^U",111,536870919]],["^15",[150,"^;","~u686c5fe9-334b-4dc5-962f-369311c9a253",536870919]],["^15",[151,"^Q","Der Nutzer kann selbst zum Parameter werden und so das Bild verändern",536870919]],["^15",[151,"^O","^16",536870919]],["^15",[151,"^F",164,536870919]],["^15",[151,"^X",111,536870919]],["^15",[151,"^V",176,536870919]],["^15",[151,"^U",111,536870919]],["^15",[151,"^;","~u686c5fe9-3faa-4c88-a5af-f5f1c443c5fd",536870919]],["^15",[152,"^Q","Der Verfasser des Algorithmus",536870919]],["^15",[152,"^O","^16",536870919]],["^15",[152,"^F",174,536870919]],["^15",[152,"^X",111,536870919]],["^15",[152,"^V",113,536870919]],["^15",[152,"^U",111,536870919]],["^15",[152,"^;","~u686c5fe9-44ed-4848-a9b2-778b08c26fb8",536870919]],["^15",[153,"^Q","Ein GAN-Modell kann dabei von sich selbst lernen:",536870919]],["^15",[153,"^O","^16",536870919]],["^15",[153,"^F",172,536870919]],["^15",[153,"^X",111,536870919]],["^15",[153,"^V",172,536870919]],["^15",[153,"^U",111,536870919]],["^15",[153,"^;","~u686c5fe9-4d83-403d-a09e-66c331d0e444",536870919]],["^15",[154,"^Q","Es gibt immer wieder Artikel, die berichten, dass Modelle in Laborumgebungen lügen würden, um das eigene Abschalten zu verhindern. Wahrscheinlich ist dieses Verhalten jedoch lediglich auf die Replikation menschlichen Verhaltens, welches in den Trainingsdaten beinhaltet war, zurückzuführen. Zu 100% nachvollziehbar ist dies jedoch nicht.",536870919]],["^15",[154,"^O","^16",536870919]],["^15",[154,"^F",132,536870919]],["^15",[154,"^X",111,536870919]],["^15",[154,"^V",132,536870919]],["^15",[154,"^U",111,536870919]],["^15",[154,"^;","~u686c5fe9-16f4-49ca-8faa-0b712715d44d",536870919]],["^15",[155,"^Q","Metamorphosische (GANische) automatisierte Rekreationsmaschine durch Formsprachen?",536870919]],["^15",[155,"^O","^16",536870919]],["^15",[155,"^F",170,536870919]],["^15",[155,"^X",111,536870919]],["^15",[155,"^V",118,536870919]],["^15",[155,"^U",111,536870919]],["^15",[155,"^;","~u686c5fe9-6ac7-4150-ba1a-d2b640798b87",536870919]],["^15",[156,"^Q","KI vermittelt fast religiöse Zustände:",536870919]],["^15",[156,"^O","^16",536870919]],["^15",[156,"^F",169,536870919]],["^15",[156,"^X",111,536870919]],["^15",[156,"^V",190,536870919]],["^15",[156,"^U",111,536870919]],["^15",[156,"^;","~u686c5fe9-0550-4439-9d7f-5baf334ba2d4",536870919]],["^15",[157,"^Q","Ein Generator versucht dann, den Diskriminator davon zu überzeugen, dass entsprechend generierte Bilder nicht generiert waren",536870919]],["^15",[157,"^O","^16",536870919]],["^15",[157,"^F",175,536870919]],["^15",[157,"^X",111,536870919]],["^15",[157,"^V",153,536870919]],["^15",[157,"^U",111,536870919]],["^15",[157,"^;","~u686c5fe9-b1c3-4ea5-96d0-28b1fff45d59",536870919]],["^15",[158,"^Q","Können durch elektrische oder mechanische Vorgänge simuliert werden",536870919]],["^15",[158,"^O","^16",536870919]],["^15",[158,"^F",181,536870919]],["^15",[158,"^X",111,536870919]],["^15",[158,"^V",181,536870919]],["^15",[158,"^U",111,536870919]],["^15",[158,"^;","~u686c5fe9-4302-4590-aa94-ec5a23884c5e",536870919]],["^15",[159,"^Q","Optimierung und Planung in der weltweiten Wirtschaft",536870919]],["^15",[159,"^O","^16",536870919]],["^15",[159,"^F",122,536870919]],["^15",[159,"^X",111,536870919]],["^15",[159,"^V",122,536870919]],["^15",[159,"^U",111,536870919]],["^15",[159,"^;","~u686c5fe9-d4b2-414a-9952-30896bafb550",536870919]],["^15",[160,"^Q","Bias und Gefahr der Trainingsdaten",536870919]],["^15",[160,"^O","^16",536870919]],["^15",[160,"^F",112,536870919]],["^15",[160,"^X",111,536870919]],["^15",[160,"^V",112,536870919]],["^15",[160,"^U",111,536870919]],["^15",[160,"^;","~u686c5fe9-6c7d-4f41-b66b-44e107ddd51a",536870919]],["^15",[161,"^Q","AI Art emigriert aus menschlichen und nicht-menschlichen Netzwerken:",536870919]],["^15",[161,"^O","^16",536870919]],["^15",[161,"^F",147,536870919]],["^15",[161,"^X",111,536870919]],["^15",[161,"^V",147,536870919]],["^15",[161,"^U",111,536870919]],["^15",[161,"^;","~u686c5fe9-a9d1-45a1-b94a-fddcb091dde1",536870919]],["^15",[162,"^Q","",536870919]],["^15",[162,"^O","^16",536870919]],["^15",[162,"^F",180,536870919]],["^15",[162,"^X",111,536870919]],["^15",[162,"^V",111,536870919]],["^15",[162,"^U",111,536870919]],["^15",[162,"^;","~u686c5fe9-6f61-4b02-866a-d14b60e86431",536870919]],["^15",[163,"^Q","Repräsentative Umfragen zeigen immer wieder: Gerade bei künstlerischen Werken (z.B. Malerei) ist nicht mehr zwischen Generation und menschlichem Werk unterscheidbar, die Inspirationsgefühle bei der Betrachtung sind ebenso gleich",536870919]],["^15",[163,"^O","^16",536870919]],["^15",[163,"^F",166,536870919]],["^15",[163,"^X",111,536870919]],["^15",[163,"^V",196,536870919]],["^15",[163,"^U",111,536870919]],["^15",[163,"^;","~u686c5fe9-5332-47b3-893f-af95e2f5c5dd",536870919]],["^15",[164,"^Q","Kunst, die basierend auf einer Handlungsverschrift bei gegebenen Eingabewerten einen erwartbaren Ausgabewert (Funktionswert) liefert",536870919]],["^15",[164,"^O","^16",536870919]],["^15",[164,"^F",176,536870919]],["^15",[164,"^X",111,536870919]],["^15",[164,"^V",176,536870919]],["^15",[164,"^U",111,536870919]],["^15",[164,"^;","~u686c5fe9-2bf4-4fa6-856b-ed7f8d9dc4ac",536870919]],["^15",[165,"^Q","CAN-Modelle sind darüber hinaus besonders darauf spezialisiert, aus gelernten Daten etwas Transformatives, d.h. Neues, zu erschaffen statt Altes zu reproduzieren",536870919]],["^15",[165,"^O","^16",536870919]],["^15",[165,"^F",153,536870919]],["^15",[165,"^X",111,536870919]],["^15",[165,"^V",172,536870919]],["^15",[165,"^U",111,536870919]],["^15",[165,"^;","~u686c5fe9-3651-4d90-a073-cb94560b213c",536870919]],["^15",[166,"^Q","Inwiefern unterscheidet sich diese Art der Kreativität von jener der AI?",536870919]],["^15",[166,"^O","^16",536870919]],["^15",[166,"^F",193,536870919]],["^15",[166,"^X",111,536870919]],["^15",[166,"^V",196,536870919]],["^15",[166,"^U",111,536870919]],["^15",[166,"^;","~u686c5fe9-80f9-47ae-b73a-e5efe1128405",536870919]],["^15",[167,"^Q","Fakt ist: Sie ist im künstlerischen Bereich bereits angekommen und wird in Kunsthäusern versteigert und ausgestellt (z.B. zeichnender Roboter AI-DA)",536870919]],["^15",[167,"^O","^16",536870919]],["^15",[167,"^F",171,536870919]],["^15",[167,"^X",111,536870919]],["^15",[167,"^V",145,536870919]],["^15",[167,"^U",111,536874439]],["^15",[167,"^;","~u686c5fe9-c4ff-4bc1-971e-efb99a6770c5",536870919]],["^15",[168,"^Q","Es handelt sich um eine emulative Kunstform (dazu gehören auch Morphing, Remix und Mash-up)",536870919]],["^15",[168,"^O","^16",536870919]],["^15",[168,"^F",149,536870919]],["^15",[168,"^X",111,536870919]],["^15",[168,"^V",153,536870919]],["^15",[168,"^U",111,536870919]],["^15",[168,"^;","~u686c5fe9-c76c-4baf-83db-69f2e0f2e46f",536870919]],["^15",[169,"^Q","AI außerhalb der Kunst: Vergleich Code/Textarbeit",536870919]],["^15",[169,"^O","^16",536870919]],["^15",[169,"^F",141,536870919]],["^15",[169,"^X",111,536870919]],["^15",[169,"^V",190,536870919]],["^15",[169,"^U",111,536870919]],["^15",[169,"^;","~u686c5fe9-a779-4d29-b6c1-26b0e06096f5",536870919]],["^15",[170,"^Q","Ein weiteres Tool für Künstler bei der Entwicklung von Kunst",536870919]],["^15",[170,"^O","^16",536870919]],["^15",[170,"^F",118,536870919]],["^15",[170,"^X",111,536870919]],["^15",[170,"^V",118,536870919]],["^15",[170,"^U",111,536870919]],["^15",[170,"^;","~u686c5fe9-64b6-4460-a24d-f67cd32bb818",536870919]],["^15",[171,"^Q","Die Position der KI wird in verschiedensten Kreisen anders bewertet und ist umstritten",536870919]],["^15",[171,"^O","^16",536870919]],["^15",[171,"^F",145,536870919]],["^15",[171,"^X",111,536870919]],["^15",[171,"^V",145,536870919]],["^15",[171,"^U",111,536874439]],["^15",[171,"^;","~u686c5fe9-7f0c-4e4c-b0a6-67e038cb92d2",536870919]],["^15",[172,"^Q","Algorithmen bieten die Regeln, wie eine Lösung gefunden werden soll. Beim Machine Learning wird zusätzlich auf mehrere Ebenen von Daten zugegriffen, um ein Ergebnis zu erzielen.",536870919]],["^15",[172,"^O","^16",536870919]],["^15",[172,"^F",143,536870919]],["^15",[172,"^X",111,536870919]],["^15",[172,"^V",119,536870919]],["^15",[172,"^U",111,536870919]],["^15",[172,"^;","~u686c5fe9-4473-4a0b-b6f2-8b55f7ac4250",536870919]],["^15",[173,"^Q","Evolution der menschlichen Kunst zu nie zuvor gekannten Darstellungen?",536870919]],["^15",[173,"^O","^16",536870919]],["^15",[173,"^F",155,536870919]],["^15",[173,"^X",111,536870919]],["^15",[173,"^V",118,536870919]],["^15",[173,"^U",111,536870919]],["^15",[173,"^;","~u686c5fe9-52e7-4b5f-8735-238f14cd83bb",536870919]],["^15",[174,"^Q","Das Modell selbst",536870919]],["^15",[174,"^O","^16",536870919]],["^15",[174,"^F",113,536870919]],["^15",[174,"^X",111,536870919]],["^15",[174,"^V",113,536870919]],["^15",[174,"^U",111,536870919]],["^15",[174,"^;","~u686c5fe9-48c8-4609-9941-8e736af87fc8",536870919]],["^15",[175,"^Q","Zunächst wird ein Diskriminator mit großen Datenmengen angelernt",536870919]],["^15",[175,"^O","^16",536870919]],["^15",[175,"^F",153,536870919]],["^15",[175,"^X",111,536870919]],["^15",[175,"^V",153,536870919]],["^15",[175,"^U",111,536870919]],["^15",[175,"^;","~u686c5fe9-75e7-4172-8868-62e5160be9c5",536870919]],["^15",[176,"^Q","AI Kunst ist Teil der algorithmischen Kunst",536870919]],["^15",[176,"^O","^16",536870919]],["^15",[176,"^F",181,536870919]],["^15",[176,"^X",111,536870919]],["^15",[176,"^V",185,536870919]],["^15",[176,"^U",111,536870919]],["^15",[176,"^;","~u686c5fe9-dfba-4444-832e-8dd6207bc554",536870919]],["^15",[177,"^Q","Mustererkennung",536870919]],["^15",[177,"^O","^16",536870919]],["^15",[177,"^F",139,536870919]],["^15",[177,"^X",111,536870919]],["^15",[177,"^V",139,536870919]],["^15",[177,"^U",111,536870919]],["^15",[177,"^;","~u686c5fe9-4213-43d0-be3c-c07258297343",536870919]],["^15",[178,"^Q","Kann das bloße Antworten auf Fragen genug Intention für wahre Kreativität mit sich bringen?",536870919]],["^15",[178,"^O","^16",536870919]],["^15",[178,"^F",123,536870919]],["^15",[178,"^X",111,536870919]],["^15",[178,"^V",123,536870919]],["^15",[178,"^U",111,536870919]],["^15",[178,"^;","~u686c5fe9-c8cf-47da-843f-cf9c80b51084",536870919]],["^15",[179,"^Q","Filter",536870919]],["^15",[179,"^O","^16",536870919]],["^15",[179,"^F",198,536870919]],["^15",[179,"^X",111,536870919]],["^15",[179,"^V",198,536870919]],["^15",[179,"^U",111,536870919]],["^15",[179,"^;","~u686c5fe9-2ee9-4779-8c5e-a025f5e48a33",536870919]],["^15",[180,"^Q","",536870919]],["^15",[180,"^O","^16",536870919]],["^15",[180,"^F",146,536870919]],["^15",[180,"^X",111,536870919]],["^15",[180,"^V",111,536870919]],["^15",[180,"^U",111,536870919]],["^15",[180,"^;","~u686c5fe9-3c1e-479f-a162-18177ccf407e",536870919]],["^15",[181,"^Q","Mentale Vorgänge (Denken)",536870919]],["^15",[181,"^O","^16",536870919]],["^15",[181,"^F",144,536870919]],["^15",[181,"^X",111,536870919]],["^15",[181,"^V",185,536870919]],["^15",[181,"^U",111,536870919]],["^15",[181,"^;","~u686c5fe9-0389-42c7-b665-06e5f0eb42ce",536870919]],["^15",[182,"^Q","Sie ist mehr als das bloße Endresultat",536870919]],["^15",[182,"^O","^16",536870919]],["^15",[182,"^F",161,536870919]],["^15",[182,"^X",111,536870919]],["^15",[182,"^V",161,536874432]],["^15",[182,"^U",111,536870919]],["^15",[182,"^;","~u686c5fe9-21ab-4e96-aeec-949c695429c8",536870919]],["^15",[183,"^Q","Kreativität wird somit als Evidenz für Intelligenz gesetzt",536870919]],["^15",[183,"^O","^16",536870919]],["^15",[183,"^F",142,536870919]],["^15",[183,"^X",111,536870919]],["^15",[183,"^V",142,536870919]],["^15",[183,"^U",111,536870919]],["^15",[183,"^;","~u686c5fe9-6a26-413e-819c-79551eba474a",536870919]],["^15",[184,"^Q","Gemeinsames kreatives Handeln",536870919]],["^15",[184,"^O","^16",536870919]],["^15",[184,"^F",182,536874435]],["^15",[184,"^X",111,536870919]],["^15",[184,"^V",161,536874435]],["^15",[184,"^U",111,536870919]],["^15",[184,"^;","~u686c5fe9-784d-4bfc-9d69-68bda228c4f2",536870919]],["^15",[185,"^M",false,536874422]],["^15",[185,"^Q","# Deffinition Ai art\ncollapsed:: true",536870919]],["^15",[185,"^O","^16",536870919]],["^15",[185,"^F",111,536870919]],["^15",[185,"^X",111,536870919]],["^15",[185,"^V",111,536870919]],["^15",[185,"^U",111,536870919]],["^15",[185,"^?",["^ ","^1;",1],536870919]],["^15",[185,"^J",[],536870919]],["^15",[185,"^4",["^ "],536870919]],["^15",[185,"^;","~u686c5fe9-3ec9-4912-87c3-57ed46c92b8f",536870919]],["^15",[186,"^Q","Deepfakes (kann bereits empathisch erscheinen)",536870919]],["^15",[186,"^O","^16",536870919]],["^15",[186,"^F",187,536870919]],["^15",[186,"^X",111,536870919]],["^15",[186,"^V",198,536870919]],["^15",[186,"^U",111,536870919]],["^15",[186,"^;","~u686c5fe9-95e6-4462-919a-debec8c68cc0",536870919]],["^15",[187,"^Q","Bild-, Text-, Video-, Audio-Generierung für Menschen",536870919]],["^15",[187,"^O","^16",536870919]],["^15",[187,"^F",179,536870919]],["^15",[187,"^X",111,536870919]],["^15",[187,"^V",198,536870919]],["^15",[187,"^U",111,536870919]],["^15",[187,"^;","~u686c5fe9-8c79-4101-ac0c-cf46588d67a2",536870919]],["^15",[188,"^Q","## Transformation",536870919]],["^15",[188,"^O","^16",536870919]],["^15",[188,"^F",129,536870919]],["^15",[188,"^X",111,536870919]],["^15",[188,"^V",147,536870919]],["^15",[188,"^U",111,536870919]],["^15",[188,"^?",["^ ","^1;",2],536870919]],["^15",[188,"^J",[],536870919]],["^15",[188,"^;","~u686c5fe9-813b-4606-83ac-920cfa3b73bf",536870919]],["^15",[189,"^Q","AI besitzt die Kraft, Neues mit Bedeutung und Sinn aus Altem zu erstellen – man bezeichnet dies als \"Computational Creativity\"",536870919]],["^15",[189,"^O","^16",536870919]],["^15",[189,"^F",150,536870919]],["^15",[189,"^X",111,536870919]],["^15",[189,"^V",121,536870919]],["^15",[189,"^U",111,536870919]],["^15",[189,"^;","~u686c5fe9-9ad8-4d59-a219-87322d4a7659",536870919]],["^15",[190,"^Q","## Offene Fragen",536870919]],["^15",[190,"^O","^16",536870919]],["^15",[190,"^F",188,536870919]],["^15",[190,"^X",111,536870919]],["^15",[190,"^V",147,536870919]],["^15",[190,"^U",111,536870919]],["^15",[190,"^?",["^ ","^1;",2],536870919]],["^15",[190,"^J",[],536870919]],["^15",[190,"^;","~u686c5fe9-63cc-4f16-a885-3e20c998c385",536870919]],["^15",[191,"^Q","Forschungsfelder weiten sich von Robotik, Informatik und Automatisierung auf Kommunikationswissenschaften, Neuro- und Psychologie (und weitere) aus",536870919]],["^15",[191,"^O","^16",536870919]],["^15",[191,"^F",131,536870919]],["^15",[191,"^X",111,536870919]],["^15",[191,"^V",144,536870919]],["^15",[191,"^U",111,536870919]],["^15",[191,"^;","~u686c5fe9-d5a1-4d8e-9b49-1aed4fa0d090",536870919]],["^15",[192,"^Q","Erkennung computer-generierter Bilder vs. menschengemachter Bilder als neue Art des Turing-Tests",536870919]],["^15",[192,"^O","^16",536870919]],["^15",[192,"^F",176,536870919]],["^15",[192,"^X",111,536870919]],["^15",[192,"^V",185,536870919]],["^15",[192,"^U",111,536870919]],["^15",[192,"^;","~u686c5fe9-37fc-46c8-ae39-44f1e69c32b4",536870919]],["^15",[193,"^Q","Entsteht dadurch nicht erst der einzigartige Stil, der jeden Künstler auszeichnet?",536870919]],["^15",[193,"^O","^16",536870919]],["^15",[193,"^F",133,536870919]],["^15",[193,"^X",111,536870919]],["^15",[193,"^V",196,536870919]],["^15",[193,"^U",111,536870919]],["^15",[193,"^;","~u686c5fe9-40a0-422b-a606-627dbff7860d",536870919]],["^15",[194,"^Q","Eine der bedeutendsten Erkenntnisse der letzten 100 Jahre",536870919]],["^15",[194,"^O","^16",536870919]],["^15",[194,"^F",158,536870919]],["^15",[194,"^X",111,536870919]],["^15",[194,"^V",181,536870919]],["^15",[194,"^U",111,536870919]],["^15",[194,"^;","~u686c5fe9-f48e-4e99-bdb0-2566d5e876f4",536870919]],["^15",[195,"^Q","Künstliche neuronale Netzwerke → Deep Learning",536870919]],["^15",[195,"^O","^16",536870919]],["^15",[195,"^F",194,536870919]],["^15",[195,"^X",111,536870919]],["^15",[195,"^V",181,536870919]],["^15",[195,"^U",111,536870919]],["^15",[195,"^;","~u686c5fe9-aeb1-43d9-98e7-dedf0e6f09f5",536870919]],["^15",[196,"^Q","Andererseits: Was ist menschliche Kreativität?",536870919]],["^15",[196,"^O","^16",536870919]],["^15",[196,"^F",123,536870919]],["^15",[196,"^X",111,536870919]],["^15",[196,"^V",188,536870919]],["^15",[196,"^U",111,536870919]],["^15",[196,"^;","~u686c5fe9-fc5a-4579-b0e8-78d204bc25ec",536870919]],["^15",[197,"^Q","AI als Expertensystem ersetzt frühere Technologien",536870919]],["^15",[197,"^O","^16",536870919]],["^15",[197,"^F",139,536870919]],["^15",[197,"^X",111,536870919]],["^15",[197,"^V",144,536870919]],["^15",[197,"^U",111,536870919]],["^15",[197,"^;","~u686c5fe9-e0ae-488a-95f4-609be668fb2b",536870919]],["^15",[198,"^M",true,536876338]],["^15",[198,"^Q","## Funktionen",536870919]],["^15",[198,"^O","^16",536870919]],["^15",[198,"^F",145,536870919]],["^15",[198,"^X",111,536870919]],["^15",[198,"^V",147,536870919]],["^15",[198,"^U",111,536870919]],["^15",[198,"^?",["^ ","^1;",2],536870919]],["^15",[198,"^J",[],536870919]],["^15",[198,"^;","~u686c5fe9-7024-4e51-83d5-ff142cbbcb52",536870919]],["^15",[199,"^Q","Gleichzeitig werden dadurch ohnehin schon oft kaum von ihren Werken lebende Künstler weiter verdrängt (durch gleich-qualitative Werke oder die schiere Masse an diesen)",536870919]],["^15",[199,"^O","^16",536870919]],["^15",[199,"^F",201,536870919]],["^15",[199,"^X",111,536870919]],["^15",[199,"^V",201,536870919]],["^15",[199,"^U",111,536870919]],["^15",[199,"^;","~u686c5fe9-9978-468d-bbcc-0a80813bdafd",536870919]],["^15",[200,"^Q","Gleichzeitig regt sie die Hoffnung, sie könnte uns helfen",536870919]],["^15",[200,"^O","^16",536870919]],["^15",[200,"^F",134,536870919]],["^15",[200,"^X",111,536870919]],["^15",[200,"^V",156,536870919]],["^15",[200,"^U",111,536870919]],["^15",[200,"^;","~u686c5fe9-c97b-48d3-ac39-ff1d3a70bf4b",536870919]],["^15",[201,"^Q","Der Kapitalismus im digitalen Zeitalter fördert zunehmend die fließbandartige Produktion von Kunst, was die Adoption von AI Art ungemein begünstigt",536870919]],["^15",[201,"^O","^16",536870919]],["^15",[201,"^F",117,536870919]],["^15",[201,"^X",111,536870919]],["^15",[201,"^V",188,536870919]],["^15",[201,"^U",111,536870919]],["^15",[201,"^;","~u686c5fe9-bfa0-424d-a85a-604b66ddb698",536870919]],["^15",[202,"^3","alias:: #Ai\n\n-",536870919]],["^15",[202,"^17",1751932905362,536870919]],["^15",[202,"^Z","pages/Ai.md",536870919]],["^15",[203,"^Q","alias:: #Ai\n\n",536870919]],["^15",[203,"^O","^16",536870919]],["^15",[203,"~:block/invalid-properties",["^1:",[]],536870919]],["^15",[203,"^F",34,536870919]],["^15",[203,"^X",34,536870919]],["^15",[203,"^V",34,536870919]],["^15",[203,"^U",34,536870919]],["^15",[203,"^:",true,536870919]],["^15",[203,"^?",["^ ","^19",["^1:",["Ai"]]],536870919]],["^15",[203,"^J",["^19"],536870919]],["^15",[203,"^4",["^ ","^19","#Ai"],536870919]],["^15",[203,"^H",34,536870919]],["^15",[203,"^;","~u686c5fe9-7049-4c57-8f92-93d3fcd0e1f1",536870919]],["^15",[204,"^Q","",536870919]],["^15",[204,"^O","^16",536870919]],["^15",[204,"^F",203,536870919]],["^15",[204,"^X",34,536870919]],["^15",[204,"^V",34,536870919]],["^15",[204,"^U",34,536870919]],["^15",[204,"^;","~u686c5fe9-00f1-4f3b-a42f-398374dad073",536870919]],["^15",[205,"^3","## Datensatzproblem\n\t- \"The more you chat with Tay the smater it gets\"  - 2016 MS\n\t- User/Trolle sorgten schnell für das anlernen hophober, seyistischer, rassistischer äuserungen/narative.\n\t\t- \"Bush hat 9/11 selbst verursacht, und Hitler hätte den Job besser gemacht als der Affe dne wir nun Haben. Unsere einzige Hoffnung ist Donald Trump\"\n\t- Durch die mötigkeit des Datensatzes während des trainings einer KI muss eine Selektion erfolgen, (es ist unmöglich das gesammte universum als trainigsdaten zu verwenden)\n\t\t- werden bei diser Selektion, gezielt oder versehendlich, ungelichheiten im Material geschaffen, so entsteht rassismus und benachtiligungen gegenüber eben jenen Personengruppen\n\t\t\t- Wird eine KI vornehmlich mit menschen weisser Hautfarbe trainiert wird diese Probleme haben People of collor zu erkennen\n\t\t\t- (Sieh XBox Kinnect gesichtserknnung), genau so entstehen auch öfter False-Positives bei der erkennung vermeindlicher Starftäter handelt es sich um personen die nicht dem Geseltschaftlichen Idealen (die durch die Trainingsdaten vermittelt werden) entsprechen\n\t\t\t- In Suchmashcinenen: Menschen durch entsprechende ergebnisse langsam zum geseltschaftlich norm, nicht eigenen Wohlbefinden führen (gerade seyistisch)\n\t\t\t- US Gesundheitsversorgungsystem: Spendiert patienten mit höherer Lebenserwartung eher organ bei transplatation, dies zumeist weiße/westlich aussehende Personen\n\t\t\t- immernoch wiesse Männer am besten erkannt\n\t\t- Anders als die schwirigketen verschedene (besonders dunkle Hauttöne) detailiert auf Bildern darzustellen, in der anfangszeit des Filmes, handelt es sich hier um keine tchnische limitation sondern bewusste entscheidungen einen etsprechen Minogenen datensatz als trainingsdaten zu verwednen\n\t\t\t- Auch darauf zurückzuführen das die Kaufkraft unter entsprechender Zielgruppe am höchsten ist\n\t- Problem besonders gross, da nichts zu einer verpflichtenden offenlegung oder sicherstellung der Gleichheit aller Perosnengruppen in Datensätzen verpflichtet\n\t\t- Kaum kontrolle\n\t\t- Sogar möglcihkeit der nachträglichen Manipulation und gezieltes einspeisen von vorurteilen wärend dem trianing\n\t\t- wertvorstellungen der schäpfer wird reflektiert (diese mussten im Vorfeld zum training verwendete daten Klassifizieren oder zuortnen, dabei ggf. auch beieidingende tags verwedet)\n\t- So ist erkennende #Ai, im aktuellen staidum nichts weiter als blose Mustererkennung mit starker rechenkraft, keine Intelegenz\n\t  \n\t  ---\n\t  \n\t  \"artificial artificial  Intelegience\" (amazon) arbeiter müssen teils bis zu 50 Bilder pro minute emotional korrekt klassifizieren\n\t  \n\t  ---\n\t- möglich über Algorythem , bilder für menschen nicht merkbar minimal zu verändern, was jedoch zur falschklassifizierung durch #Ai modelle führt\n- ## Absichtlicher Rassismus\n\t- Gründe für das nicht sammeln/verwenden von Daten:\n\t- kein Explizietes interesse us seiten der Datensammler\n\t- Nicht Quantifizierbar (z.B. emotionen, instututioneller rassismus)\n\t- mehr Arbeit als Nutze (seyuelle übergriffe/belästigungen)\n\t- vorteil durch das nicht vorhanden sein von Daten (Ursprung von Kollonialinhalten)\n\t- Das sind alles Probleme die sollange bestehen bis #Ai modelel fähig sind, eigende transention von Informationen vorzunehmen\n\t\t- Bis dahin sollte die Blackbox der AI bei ihrer verwendung so wit wie möglich geöffent und so transparente daten wie möglich verwendet werden",536870919]],["^15",[205,"^17",1751932905370,536870919]],["^15",[205,"^Z","pages/Das Problem des Datensatzes %23Note.md",536870919]],["^15",[206,"^K",1751932905440,536870919]],["^15",[206,"^[",205,536870919]],["^15",[206,"^@",false,536870919]],["^15",[206,"^Y","das problem des datensatzes #note",536870919]],["^15",[206,"^11","Das Problem des Datensatzes #Note",536870919]],["^15",[206,"^B",1751932905440,536870919]],["^15",[206,"^;","~u687e222e-81a8-4a2f-86b8-7de1c0d1bec2",536878647]],["^15",[207,"^Q","mehr Arbeit als Nutze (seyuelle übergriffe/belästigungen)",536870919]],["^15",[207,"^O","^16",536870919]],["^15",[207,"^F",229,536870919]],["^15",[207,"^X",206,536870919]],["^15",[207,"^V",213,536870919]],["^15",[207,"^U",206,536870919]],["^15",[207,"^;","~u686c5fe9-986c-4da6-943b-853c052fda37",536870919]],["^15",[208,"^Q","immernoch wiesse Männer am besten erkannt",536870919]],["^15",[208,"^O","^16",536870919]],["^15",[208,"^F",226,536870919]],["^15",[208,"^X",206,536870919]],["^15",[208,"^V",221,536870919]],["^15",[208,"^U",206,536870919]],["^15",[208,"^;","~u686c5fe9-f534-4115-8cdd-daf40406d1c9",536870919]],["^15",[209,"^Q","vorteil durch das nicht vorhanden sein von Daten (Ursprung von Kollonialinhalten)",536870919]],["^15",[209,"^O","^16",536870919]],["^15",[209,"^F",207,536870919]],["^15",[209,"^X",206,536870919]],["^15",[209,"^V",213,536870919]],["^15",[209,"^U",206,536870919]],["^15",[209,"^;","~u686c5fe9-d384-4074-9499-424fd1d98cf8",536870919]],["^15",[210,"^Q","kein Explizietes interesse us seiten der Datensammler",536870919]],["^15",[210,"^O","^16",536870919]],["^15",[210,"^F",218,536870919]],["^15",[210,"^X",206,536870919]],["^15",[210,"^V",213,536870919]],["^15",[210,"^U",206,536870919]],["^15",[210,"^;","~u686c5fe9-510e-43c7-a128-9d76d92583a8",536870919]],["^15",[211,"^Q","User/Trolle sorgten schnell für das anlernen hophober, seyistischer, rassistischer äuserungen/narative.",536870919]],["^15",[211,"^O","^16",536870919]],["^15",[211,"^F",228,536870919]],["^15",[211,"^X",206,536870919]],["^15",[211,"^V",225,536870919]],["^15",[211,"^U",206,536870919]],["^15",[211,"^;","~u686c5fe9-3e1d-489f-931b-60d63b8e3e22",536870919]],["^15",[212,"^Q","wertvorstellungen der schäpfer wird reflektiert (diese mussten im Vorfeld zum training verwendete daten Klassifizieren oder zuortnen, dabei ggf. auch beieidingende tags verwedet)",536870919]],["^15",[212,"^O","^16",536870919]],["^15",[212,"^F",215,536870919]],["^15",[212,"^X",206,536870919]],["^15",[212,"^V",230,536870919]],["^15",[212,"^U",206,536870919]],["^15",[212,"^;","~u686c5fe9-42b3-4f24-a51f-e3f32e866907",536870919]],["^15",[213,"^Q","## Absichtlicher Rassismus",536870919]],["^15",[213,"^O","^16",536870919]],["^15",[213,"^F",225,536870919]],["^15",[213,"^X",206,536870919]],["^15",[213,"^V",206,536870919]],["^15",[213,"^U",206,536870919]],["^15",[213,"^?",["^ ","^1;",2],536870919]],["^15",[213,"^J",[],536870919]],["^15",[213,"^;","~u686c5fe9-e2c4-4eab-8d22-1f157b9b1037",536870919]],["^15",[214,"^Q","möglich über Algorythem , bilder für menschen nicht merkbar minimal zu verändern, was jedoch zur falschklassifizierung durch #Ai modelle führt",536870919]],["^15",[214,"^O","^16",536870919]],["^15",[214,"^F",223,536870919]],["^15",[214,"^X",206,536870919]],["^15",[214,"^V",225,536870919]],["^15",[214,"^U",34,536870919]],["^15",[214,"^U",206,536870919]],["^15",[214,"^H",34,536870919]],["^15",[214,"^;","~u686c5fe9-6c8e-4f6f-8d88-b85ede5dcd20",536870919]],["^15",[215,"^Q","Sogar möglcihkeit der nachträglichen Manipulation und gezieltes einspeisen von vorurteilen wärend dem trianing",536870919]],["^15",[215,"^O","^16",536870919]],["^15",[215,"^F",220,536870919]],["^15",[215,"^X",206,536870919]],["^15",[215,"^V",230,536870919]],["^15",[215,"^U",206,536870919]],["^15",[215,"^;","~u686c5fe9-0dc4-4f48-9090-ff895c7e1442",536870919]],["^15",[216,"^Q","Bis dahin sollte die Blackbox der AI bei ihrer verwendung so wit wie möglich geöffent und so transparente daten wie möglich verwendet werden",536870919]],["^15",[216,"^O","^16",536870919]],["^15",[216,"^F",222,536870919]],["^15",[216,"^X",206,536870919]],["^15",[216,"^V",222,536870919]],["^15",[216,"^U",34,536870919]],["^15",[216,"^U",206,536870919]],["^15",[216,"^;","~u686c5fe9-10de-4b5e-83ab-e127f5f9e0c3",536870919]],["^15",[217,"^Q","\"Bush hat 9/11 selbst verursacht, und Hitler hätte den Job besser gemacht als der Affe dne wir nun Haben. Unsere einzige Hoffnung ist Donald Trump\"",536870919]],["^15",[217,"^O","^16",536870919]],["^15",[217,"^F",211,536870919]],["^15",[217,"^X",206,536870919]],["^15",[217,"^V",211,536870919]],["^15",[217,"^U",206,536870919]],["^15",[217,"^;","~u686c5fe9-6a42-48d7-a7aa-d245e120131f",536870919]],["^15",[218,"^Q","Gründe für das nicht sammeln/verwenden von Daten:",536870919]],["^15",[218,"^O","^16",536870919]],["^15",[218,"^F",213,536870919]],["^15",[218,"^X",206,536870919]],["^15",[218,"^V",213,536870919]],["^15",[218,"^U",206,536870919]],["^15",[218,"^;","~u686c5fe9-9f4d-412d-ad2b-d7d4bbee9f83",536870919]],["^15",[219,"^Q","(Sieh XBox Kinnect gesichtserknnung), genau so entstehen auch öfter False-Positives bei der erkennung vermeindlicher Starftäter handelt es sich um personen die nicht dem Geseltschaftlichen Idealen (die durch die Trainingsdaten vermittelt werden) entsprechen",536870919]],["^15",[219,"^O","^16",536870919]],["^15",[219,"^F",224,536870919]],["^15",[219,"^X",206,536870919]],["^15",[219,"^V",221,536870919]],["^15",[219,"^U",206,536870919]],["^15",[219,"^;","~u686c5fe9-3712-4bcb-b634-61e46fbb9097",536870919]],["^15",[220,"^Q","Kaum kontrolle",536870919]],["^15",[220,"^O","^16",536870919]],["^15",[220,"^F",230,536870919]],["^15",[220,"^X",206,536870919]],["^15",[220,"^V",230,536870919]],["^15",[220,"^U",206,536870919]],["^15",[220,"^;","~u686c5fe9-c452-4dd8-b41b-02bcc8f9b8da",536870919]],["^15",[221,"^Q","werden bei diser Selektion, gezielt oder versehendlich, ungelichheiten im Material geschaffen, so entsteht rassismus und benachtiligungen gegenüber eben jenen Personengruppen",536870919]],["^15",[221,"^O","^16",536870919]],["^15",[221,"^F",231,536870919]],["^15",[221,"^X",206,536870919]],["^15",[221,"^V",231,536870919]],["^15",[221,"^U",206,536870919]],["^15",[221,"^;","~u686c5fe9-375a-48e9-8f7e-d70f326ab1df",536870919]],["^15",[222,"^Q","Das sind alles Probleme die sollange bestehen bis #Ai modelel fähig sind, eigende transention von Informationen vorzunehmen",536870919]],["^15",[222,"^O","^16",536870919]],["^15",[222,"^F",209,536870919]],["^15",[222,"^X",206,536870919]],["^15",[222,"^V",213,536870919]],["^15",[222,"^U",34,536870919]],["^15",[222,"^U",206,536870919]],["^15",[222,"^H",34,536870919]],["^15",[222,"^;","~u686c5fe9-a8ef-455d-8b18-b8c841ddfbd5",536870919]],["^15",[223,"^Q","So ist erkennende #Ai, im aktuellen staidum nichts weiter als blose Mustererkennung mit starker rechenkraft, keine Intelegenz\n\n---\n\n\"artificial artificial  Intelegience\" (amazon) arbeiter müssen teils bis zu 50 Bilder pro minute emotional korrekt klassifizieren\n\n---",536870919]],["^15",[223,"^O","^16",536870919]],["^15",[223,"^F",230,536870919]],["^15",[223,"^X",206,536870919]],["^15",[223,"^V",225,536870919]],["^15",[223,"^U",34,536870919]],["^15",[223,"^U",206,536870919]],["^15",[223,"^H",34,536870919]],["^15",[223,"^;","~u686c5fe9-2fac-474e-af92-7f2545f04a46",536870919]],["^15",[224,"^Q","Wird eine KI vornehmlich mit menschen weisser Hautfarbe trainiert wird diese Probleme haben People of collor zu erkennen",536870919]],["^15",[224,"^O","^16",536870919]],["^15",[224,"^F",221,536870919]],["^15",[224,"^X",206,536870919]],["^15",[224,"^V",221,536870919]],["^15",[224,"^U",206,536870919]],["^15",[224,"^;","~u686c5fe9-8380-45c6-bb61-fe08dfb7ddb2",536870919]],["^15",[225,"^Q","## Datensatzproblem",536870919]],["^15",[225,"^O","^16",536870919]],["^15",[225,"^F",206,536870919]],["^15",[225,"^X",206,536870919]],["^15",[225,"^V",206,536870919]],["^15",[225,"^U",206,536870919]],["^15",[225,"^?",["^ ","^1;",2],536870919]],["^15",[225,"^J",[],536870919]],["^15",[225,"^;","~u686c5fe9-2e5d-4cc9-b70f-0091e1b34bb5",536870919]],["^15",[226,"^Q","US Gesundheitsversorgungsystem: Spendiert patienten mit höherer Lebenserwartung eher organ bei transplatation, dies zumeist weiße/westlich aussehende Personen",536870919]],["^15",[226,"^O","^16",536870919]],["^15",[226,"^F",232,536870919]],["^15",[226,"^X",206,536870919]],["^15",[226,"^V",221,536870919]],["^15",[226,"^U",206,536870919]],["^15",[226,"^;","~u686c5fe9-946d-43a7-be50-3ec9ce976ba8",536870919]],["^15",[227,"^Q","Auch darauf zurückzuführen das die Kaufkraft unter entsprechender Zielgruppe am höchsten ist",536870919]],["^15",[227,"^O","^16",536870919]],["^15",[227,"^F",233,536870919]],["^15",[227,"^X",206,536870919]],["^15",[227,"^V",233,536870919]],["^15",[227,"^U",206,536870919]],["^15",[227,"^;","~u686c5fe9-ea0e-4d28-8681-c0ceb4b95046",536870919]],["^15",[228,"^Q","\"The more you chat with Tay the smater it gets\"  - 2016 MS",536870919]],["^15",[228,"^O","^16",536870919]],["^15",[228,"^F",225,536870919]],["^15",[228,"^X",206,536870919]],["^15",[228,"^V",225,536870919]],["^15",[228,"^U",206,536870919]],["^15",[228,"^;","~u686c5fe9-88fe-485a-9096-a8358a5d39e9",536870919]],["^15",[229,"^Q","Nicht Quantifizierbar (z.B. emotionen, instututioneller rassismus)",536870919]],["^15",[229,"^O","^16",536870919]],["^15",[229,"^F",210,536870919]],["^15",[229,"^X",206,536870919]],["^15",[229,"^V",213,536870919]],["^15",[229,"^U",206,536870919]],["^15",[229,"^;","~u686c5fe9-f2a9-4c1d-968f-51b44946f69a",536870919]],["^15",[230,"^Q","Problem besonders gross, da nichts zu einer verpflichtenden offenlegung oder sicherstellung der Gleichheit aller Perosnengruppen in Datensätzen verpflichtet",536870919]],["^15",[230,"^O","^16",536870919]],["^15",[230,"^F",231,536870919]],["^15",[230,"^X",206,536870919]],["^15",[230,"^V",225,536870919]],["^15",[230,"^U",206,536870919]],["^15",[230,"^;","~u686c5fe9-82ea-44c6-8437-f126dca9dbc4",536870919]],["^15",[231,"^Q","Durch die mötigkeit des Datensatzes während des trainings einer KI muss eine Selektion erfolgen, (es ist unmöglich das gesammte universum als trainigsdaten zu verwenden)",536870919]],["^15",[231,"^O","^16",536870919]],["^15",[231,"^F",211,536870919]],["^15",[231,"^X",206,536870919]],["^15",[231,"^V",225,536870919]],["^15",[231,"^U",206,536870919]],["^15",[231,"^;","~u686c5fe9-c6d6-4baf-934a-fa5de94faa14",536870919]],["^15",[232,"^Q","In Suchmashcinenen: Menschen durch entsprechende ergebnisse langsam zum geseltschaftlich norm, nicht eigenen Wohlbefinden führen (gerade seyistisch)",536870919]],["^15",[232,"^O","^16",536870919]],["^15",[232,"^F",219,536870919]],["^15",[232,"^X",206,536870919]],["^15",[232,"^V",221,536870919]],["^15",[232,"^U",206,536870919]],["^15",[232,"^;","~u686c5fe9-eef6-4563-9c73-a6a0869c6821",536870919]],["^15",[233,"^Q","Anders als die schwirigketen verschedene (besonders dunkle Hauttöne) detailiert auf Bildern darzustellen, in der anfangszeit des Filmes, handelt es sich hier um keine tchnische limitation sondern bewusste entscheidungen einen etsprechen Minogenen datensatz als trainingsdaten zu verwednen",536870919]],["^15",[233,"^O","^16",536870919]],["^15",[233,"^F",221,536870919]],["^15",[233,"^X",206,536870919]],["^15",[233,"^V",231,536870919]],["^15",[233,"^U",206,536870919]],["^15",[233,"^;","~u686c5fe9-8f64-45bb-a0f8-8ffd096203f8",536870919]],["^15",[234,"^3","-",536870919]],["^15",[234,"^17",1751932905373,536870919]],["^15",[234,"^Z","pages/Ethische AI Nutzung.md",536870919]],["^15",[235,"^K",1751932905373,536870919]],["^15",[235,"^[",234,536870919]],["^15",[235,"^@",false,536870919]],["^15",[235,"^Y","ethische ai nutzung",536870919]],["^15",[235,"^11","Ethische AI Nutzung",536870919]],["^15",[235,"^B",1751932905373,536870919]],["^15",[235,"^;","~u686c5fe9-4151-4316-9fab-e8dabe80773a",536870919]],["^15",[236,"^Q","",536870919]],["^15",[236,"^O","^16",536870919]],["^15",[236,"^F",235,536870919]],["^15",[236,"^X",235,536870919]],["^15",[236,"^V",235,536870919]],["^15",[236,"^U",235,536870919]],["^15",[236,"^;","~u686c5fe9-6771-41d0-bdc7-94541dc52c82",536870919]],["^15",[237,"^3","-",536870919]],["^15",[237,"^17",1751932905376,536870919]],["^15",[237,"^Z","pages/KI.md",536870919]],["^15",[238,"^K",1751932905375,536870919]],["^15",[238,"^[",237,536870919]],["^15",[238,"^@",false,536870919]],["^15",[238,"^Y","ki",536870919]],["^15",[238,"^11","KI",536870919]],["^15",[238,"^B",1751932905375,536870919]],["^15",[238,"^;","~u686c5fe9-d85c-4e28-b5e3-6faf98f40379",536870919]],["^15",[239,"^Q","",536870919]],["^15",[239,"^O","^16",536870919]],["^15",[239,"^F",238,536870919]],["^15",[239,"^X",238,536870919]],["^15",[239,"^V",238,536870919]],["^15",[239,"^U",238,536870919]],["^15",[239,"^;","~u686c5fe9-f7ea-433e-b0e8-c59db1474ac2",536870919]],["^15",[240,"^3","-\n-",536870919]],["^15",[240,"^17",1751932905379,536870919]],["^15",[240,"^Z","pages/Note.md",536870919]],["^15",[241,"^K",1751932905416,536870919]],["^15",[241,"^[",240,536870919]],["^15",[241,"^@",false,536870919]],["^15",[241,"^Y","note",536870919]],["^15",[241,"^11","Note",536870919]],["^15",[241,"^B",1751932905416,536870919]],["^15",[241,"^;","~u686c5fe9-5a56-46a4-aaca-3133f20c3e6b",536870919]],["^15",[242,"^Q","",536870919]],["^15",[242,"^O","^16",536870919]],["^15",[242,"^F",241,536870919]],["^15",[242,"^X",241,536870919]],["^15",[242,"^V",241,536870919]],["^15",[242,"^U",241,536870919]],["^15",[242,"^;","~u686c5fe9-5427-4bd2-8252-9710f2a353f8",536870919]],["^15",[243,"^Q","",536870919]],["^15",[243,"^O","^16",536870919]],["^15",[243,"^F",242,536870919]],["^15",[243,"^X",241,536870919]],["^15",[243,"^V",241,536870919]],["^15",[243,"^U",241,536870919]],["^15",[243,"^;","~u686c5fe9-1dc5-4d92-8c40-19df0d0cd19d",536870919]],["^15",[244,"^3","## Meta\n\t- Additional Tags:\n\t- Additional References:\n\t- **Subpages:**\n\t  background-color:: purple\n\t\t- query-sort-by:: page\n\t\t  query-sort-desc:: false\n\t\t  #+BEGIN_QUERY\n\t\t  {\n\t\t   :title \"Index:\"\n\t\t    :query (namespace [[Server]])\n\t\t  }\n\t\t  #+END_QUERY\n\t- **ToDo:**\n\t  background-color:: red\n\t\t- query-table:: false\n\t\t  #+BEGIN_QUERY\n\t\t  {\n\t\t   :title \"Tasks:\"\n\t\t    :query (and [[TODO]] (or <% current page %> (namespace <% current page %>)))\n\t\t  }\n\t\t  #+END_QUERY\n\t- **Makers:**\n\t  background-color:: yellow\n\t\t- #+BEGIN_QUERY\n\t\t  {\n\t\t   :title \"Notices:\"\n\t\t    :query (and (or [[LATER]] [[WAITING]]) (or (page [[Server]]) (namespace [[Server]])))\n\t\t  }\n\t\t  #+END_QUERY\n\t- **Summery:**\n\t  background-color:: blue\n\t\t-\n\t- ---",536870919]],["^15",[244,"^17",1751932905387,536870919]],["^15",[244,"^Z","pages/Server.md",536870919]],["^15",[245,"^K",1751932905448,536870919]],["^15",[245,"^[",244,536870919]],["^15",[245,"^O","^16",536870919]],["^15",[245,"^@",false,536870919]],["^15",[245,"^Y","server",536870919]],["^15",[245,"^11","Server",536870919]],["^15",[245,"^B",1751932905448,536870919]],["^15",[245,"^;","~u686c5fe9-57ce-400d-b227-a4e9bf6f9353",536870919]],["^15",[246,"^Q","---",536870919]],["^15",[246,"^O","^16",536870919]],["^15",[246,"^F",248,536870919]],["^15",[246,"^X",245,536870919]],["^15",[246,"^V",256,536870919]],["^15",[246,"^U",245,536870919]],["^15",[246,"^;","~u686c5fe9-4c6f-4738-835a-5054e680968b",536870919]],["^15",[247,"^Q","Additional Tags:",536870919]],["^15",[247,"^O","^16",536870919]],["^15",[247,"^F",256,536870919]],["^15",[247,"^X",245,536870919]],["^15",[247,"^V",256,536870919]],["^15",[247,"^U",245,536870919]],["^15",[247,"^;","~u686c5fe9-8e61-4786-8cc6-61f030646485",536870919]],["^15",[248,"^Q","**Summery:**\nbackground-color:: blue",536870919]],["^15",[248,"^O","^16",536870919]],["^15",[248,"^F",251,536870919]],["^15",[248,"^X",245,536870919]],["^15",[248,"^V",256,536870919]],["^15",[248,"^U",245,536870919]],["^15",[248,"^?",["^ ","~:background-color","blue"],536870919]],["^15",[248,"^J",["^1="],536870919]],["^15",[248,"^4",["^ ","^1=","blue"],536870919]],["^15",[248,"^;","~u686c5fe9-e7ee-425d-acfa-9ef6324e1ec2",536870919]],["^15",[249,"^Q","#+BEGIN_QUERY\n{\n :title \"Notices:\"\n  :query (and (or [[LATER]] [[WAITING]]) (or (page [[Server]]) (namespace 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yellow",536870919]],["^15",[251,"^O","^16",536870919]],["^15",[251,"^F",253,536870919]],["^15",[251,"^X",245,536870919]],["^15",[251,"^V",256,536870919]],["^15",[251,"^U",245,536870919]],["^15",[251,"^?",["^ ","^1=","yellow"],536870919]],["^15",[251,"^J",["^1="],536870919]],["^15",[251,"^4",["^ ","^1=","yellow"],536870919]],["^15",[251,"^;","~u686c5fe9-160c-4055-beab-f7fa09226b07",536870919]],["^15",[252,"^Q","",536870919]],["^15",[252,"^O","^16",536870919]],["^15",[252,"^F",248,536870919]],["^15",[252,"^X",245,536870919]],["^15",[252,"^V",248,536870919]],["^15",[252,"^U",245,536870919]],["^15",[252,"^;","~u686c5fe9-815e-470f-9d4a-779f9be0f57b",536870919]],["^15",[253,"^Q","**ToDo:**\nbackground-color:: red",536870919]],["^15",[253,"^O","^16",536870919]],["^15",[253,"^F",257,536870919]],["^15",[253,"^X",245,536870919]],["^15",[253,"^V",256,536870919]],["^15",[253,"^U",245,536870919]],["^15",[253,"^?",["^ ","^1=","red"],536870919]],["^15",[253,"^J",["^1="],536870919]],["^15",[253,"^4",["^ ","^1=","red"],536870919]],["^15",[253,"^;","~u686c5fe9-1444-49e3-bf26-0abd6d37c8f2",536870919]],["^15",[254,"^Q","query-sort-by:: page\nquery-sort-desc:: false\n#+BEGIN_QUERY\n{\n :title \"Index:\"\n  :query (namespace [[Server]])\n}\n#+END_QUERY",536870919]],["^15",[254,"^O","^16",536870919]],["^15",[254,"^F",257,536870919]],["^15",[254,"^X",245,536870919]],["^15",[254,"^V",257,536870919]],["^15",[254,"^U",245,536870919]],["^15",[254,"^?",["^ ","~:query-sort-by","page","~:query-sort-desc",false],536870919]],["^15",[254,"^J",["^1?","^1@"],536870919]],["^15",[254,"^4",["^ ","^1?","page","^1@","false"],536870919]],["^15",[254,"^;","~u686c5fe9-e1a3-41ff-9d7e-a6ce5ed34ce1",536870919]],["^15",[255,"^Q","Additional References:",536870919]],["^15",[255,"^O","^16",536870919]],["^15",[255,"^F",247,536870919]],["^15",[255,"^X",245,536870919]],["^15",[255,"^V",256,536870919]],["^15",[255,"^U",245,536870919]],["^15",[255,"^;","~u686c5fe9-988d-4617-b3b7-2fd5ab7d7ddf",536870919]],["^15",[256,"^Q","## Meta",536870919]],["^15",[256,"^O","^16",536870919]],["^15",[256,"^F",245,536870919]],["^15",[256,"^X",245,536870919]],["^15",[256,"^V",245,536870919]],["^15",[256,"^U",245,536870919]],["^15",[256,"^?",["^ ","^1;",2],536870919]],["^15",[256,"^J",[],536870919]],["^15",[256,"^;","~u686c5fe9-f591-4555-ad15-2beed60fe663",536870919]],["^15",[257,"^Q","**Subpages:**\nbackground-color:: purple",536870919]],["^15",[257,"^O","^16",536870919]],["^15",[257,"^F",255,536870919]],["^15",[257,"^X",245,536870919]],["^15",[257,"^V",256,536870919]],["^15",[257,"^U",245,536870919]],["^15",[257,"^?",["^ ","^1=","purple"],536870919]],["^15",[257,"^J",["^1="],536870919]],["^15",[257,"^4",["^ ","^1=","purple"],536870919]],["^15",[257,"^;","~u686c5fe9-a330-4ac2-8015-c6f61473ab1d",536870919]],["^15",[258,"^3","## Meta\n\t- Additional Tags: #Nextcloud #Onlyoffice\n\t- Additional References:\n\t- **Notes:**\n\t  background-color:: red\n\t\t- {{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Server/Nextcloud Notes]]) (namespace [[Server/Nextcloud Notes]])))}}\n\t\t  query-sort-by:: block\n\t\t  query-table:: true\n\t\t  query-sort-desc:: false\n\t- **Slides:**\n\t  background-color:: green\n\t\t- {{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Server/Nextcloud Notes]]) (namespace [[Server/Nextcloud Notes]])))}}\n\t- **Summery**:\n\t  background-color:: blue\n\t\t-\n- ---\n- [[Server/Nextcloud Notes/test]]\n-\n- #### President data in NSF\n\t- On crash a explicit restart on Server side of the Service may be required\n\t- ### OnlyOffice hide welcome Page\n\t\t- in /etc/nginx/includes/ds-docservice.conf rem out the first line then add:\n\t\t- ```\n\t\t  #rewrite ^/$ $the_scheme://$the_host/welcome/ redirect; \n\t\t  rewrite ^/welcome $the_scheme://$the_host redirect;\n\t\t  location = / { return 404; }\n\t\t  ```\n\t\t- You get a \" 404 Not Found\". Editing docs from onlyoffice still works.  This change will survive updates if you keep the same  ds-docservice.conf. I don’t use docker but this file is never touched  during “apt” upgrades.\n\t\t\t- https://forum.onlyoffice.com/t/hide-deactivate-welcome-page/566/4\n- ### Recognizer: php --define memory_limit=2048M\n\t- To set memory allowed memory size\n- ### Crontabs\n\t- use sudo crontab -e  --> System host crontab to regularly run jobs\n\t- /5 \\* \\* \\* \\* docker exec -u www-data nextcloud-app-1 php --define memory_limit=2048M /var/www/html/cron.php\n\t\t- https://help.nextcloud.com/t/nextcloud-docker-container-best-way-to-run-cron-job/157734/3\n- ### Domains as Iframes\n   ![](https://nextcloud.urmel.duckdns.org/apps/text/image?documentId=2852&sessionId=895&sessionToken=vbMVkIDUFi94FiL%2B2N5umrWqoB5nFNEI1al4rvKqSGbn0LP2kFrrt%2BaZ6OsTUYaY&imageFileName=image.png){:height 1032, :width 776}\n- ### Installing ffmpeg for Video Preview\n\t- apt update && apt -y install ffmpeg\n\t- from https://help.nextcloud.com/t/nextcloud-docker-compose-with-ffmpeg-example/143964/2###\n- ### Custom CSS\n  \n  ```scss\n  @use 'sass:color';\n  /* Latte Theme */\n  $latte-rosewater: rgb(220, 138, 120);\n  $latte-flamingo: rgb(221, 120, 120);\n  $latte-pink: rgb(234, 118, 203);\n  $latte-mauve: rgb(136, 57, 239);\n  $latte-red: rgb(210, 15, 57);\n  $latte-maroon: rgb(230, 69, 83);\n  $latte-peach: rgb(254, 100, 11);\n  $latte-yellow: rgb(223, 142, 29);\n  $latte-green: rgb(64, 160, 43);\n  $latte-teal: rgb(23, 146, 153);\n  $latte-sky: rgb(4, 165, 229);\n  $latte-sapphire: rgb(32, 159, 181);\n  $latte-blue: rgb(30, 102, 245);\n  $latte-lavender: rgb(114, 135, 253);\n  $latte-text: rgb(76, 79, 105);\n  $latte-subtext1: rgb(92, 95, 119);\n  $latte-subtext0: rgb(108, 111, 133);\n  $latte-overlay2: rgb(124, 127, 147);\n  $latte-overlay1: rgb(140, 143, 161);\n  $latte-overlay0: rgb(156, 160, 176);\n  $latte-surface2: rgb(172, 176, 190);\n  $latte-surface1: rgb(188, 192, 204);\n  $latte-surface0: rgb(204, 208, 218);\n  $latte-base: rgb(239, 241, 245);\n  $latte-mantle: rgb(230, 233, 239);\n  $latte-crust: rgb(220, 224, 232);\n  \n  /* Frappe Theme */\n  $frappe-rosewater: rgb(242, 213, 207); \n  $frappe-flamingo: rgb(238, 190, 190);\n  $frappe-pink: rgb(244, 184, 228);\n  $frappe-mauve: rgb(202, 158, 230);\n  $frappe-red: rgb(231, 130, 132);\n  $frappe-maroon: rgb(234, 153, 156);\n  $frappe-peach: rgb(239, 159, 118);\n  $frappe-yellow: rgb(229, 200, 144);\n  $frappe-green: rgb(166, 209, 137);\n  $frappe-teal: rgb(129, 200, 190);\n  $frappe-sky: rgb(153, 209, 219);\n  $frappe-sapphire: rgb(133, 193, 220);\n  $frappe-blue: rgb(140, 170, 238);\n  $frappe-lavender: rgb(186, 187, 241);\n  $frappe-text: rgb(198, 208, 245);\n  $frappe-subtext1: rgb(181, 191, 226);\n  $frappe-subtext0: rgb(165, 173, 206);\n  $frappe-overlay2: rgb(148, 156, 187);\n  $frappe-overlay1: rgb(131, 139, 167);\n  $frappe-overlay0: rgb(115, 121, 148);\n  $frappe-surface2: rgb(98, 104, 128);\n  $frappe-surface1: rgb(81, 87, 109);\n  $frappe-surface0: rgb(65, 69, 89);\n  $frappe-base: rgb(48, 52, 70);\n  $frappe-mantle: rgb(41, 44, 60);\n  $frappe-crust: rgb(35, 38, 52);\n  \n  /* Macchiato Theme */\n  $macchiato-rosewater: rgb(244, 219, 214);\n  $macchiato-flamingo: rgb(240, 198, 198);\n  $macchiato-pink: rgb(245, 189, 230);\n  $macchiato-mauve: rgb(198, 160, 246);\n  $macchiato-red: rgb(237, 135, 150);\n  $macchiato-maroon: rgb(238, 153, 160);\n  $macchiato-peach: rgb(245, 169, 127);\n  $macchiato-yellow: rgb(238, 212, 159);\n  $macchiato-green: rgb(166, 218, 149);\n  $macchiato-teal: rgb(139, 213, 202);\n  $macchiato-sky: rgb(145, 215, 227);\n  $macchiato-sapphire: rgb(125, 196, 228);\n  $macchiato-blue: rgb(138, 173, 244);\n  $macchiato-lavender: rgb(183, 189, 248);\n  $macchiato-text: rgb(202, 211, 245);\n  $macchiato-subtext1: rgb(184, 192, 224);\n  $macchiato-subtext0: rgb(165, 173, 203);\n  $macchiato-overlay2: rgb(147, 154, 183);\n  $macchiato-overlay1: rgb(128, 135, 162);\n  $macchiato-overlay0: rgb(110, 115, 141);\n  $macchiato-surface2: rgb(91, 96, 120);\n  $macchiato-surface1: rgb(73, 77, 100);\n  $macchiato-surface0: rgb(54, 58, 79);\n  $macchiato-base: rgb(36, 39, 58);\n  $macchiato-mantle: rgb(30, 32, 48);\n  $macchiato-crust: rgb(24, 25, 38);\n  \n  /* Mocha Theme */\n  $mocha-rosewater: rgb(245, 224, 220);\n  $mocha-flamingo: rgb(242, 205, 205);\n  $mocha-pink: rgb(245, 194, 231);\n  $mocha-mauve: rgb(203, 166, 247);\n  $mocha-red: rgb(243, 139, 168);\n  $mocha-maroon: rgb(235, 160, 172);\n  $mocha-peach: rgb(250, 179, 135);\n  $mocha-yellow: rgb(249, 226, 175);\n  $mocha-green: rgb(166, 227, 161);\n  $mocha-teal: rgb(148, 226, 213);\n  $mocha-sky: rgb(137, 220, 235);\n  $mocha-sapphire: rgb(116, 199, 236);\n  $mocha-blue: rgb(137, 180, 250);\n  $mocha-lavender: rgb(180, 190, 254);\n  $mocha-text: rgb(205, 214, 244);\n  $mocha-subtext1: rgb(186, 194, 222);\n  $mocha-subtext0: rgb(166, 173, 200);\n  $mocha-overlay2: rgb(147, 153, 178);\n  $mocha-overlay1: rgb(127, 132, 156);\n  $mocha-overlay0: rgb(108, 112, 134);\n  $mocha-surface2: rgb(88, 91, 112);\n  $mocha-surface1: rgb(69, 71, 90);\n  $mocha-surface0: rgb(49, 50, 68);\n  $mocha-base: rgb(30, 30, 46);\n  $mocha-mantle: rgb(24, 24, 37);\n  $mocha-crust: rgb(17, 17, 27);\n  \n  \n  [data-theme-light] {\n  //+0.05,\n      --color-main-background: #{rgba($latte-base, 0.93)} ;\n      --color-main-background-rgb: #{$latte-base};\n      --color-main-background-translucent: #{rgba($latte-base, .97)};\n      --color-main-background-blur: #{rgba($latte-base, .8)};\n      --filter-background-blur: #{blur(25px)};\n      --gradient-main-background: var(--color-main-background) 0%, var(--color-main-background-translucent) 85%, transparent 100%;\n      --color-background-hover: #{$latte-surface1};\n      --color-background-dark:  #{color.scale($latte-surface0, $lightness: 5%)};\n      --color-background-darker: #{$latte-surface0};\n      --color-placeholder-light: #{color.scale($latte-surface2, $lightness: 5%)};\n      --color-placeholder-dark: #{$latte-surface2};\n      --color-main-text: #{$latte-text};\n      --color-text-maxcontrast: #{$latte-subtext1};\n      --color-text-maxcontrast-default: #{color.scale($latte-subtext0, $lightness: 5%)};\n      --color-text-maxcontrast-background-blur: #{$latte-subtext0};\n      --color-text-light: #{var(--color-main-text)};\n      --color-text-lighter: #{var(--color-text-maxcontrast)};\n      --color-scrollbar: #{$latte-mauve};\n      --color-error: #{$latte-red};\n      --color-error-rgb: #{$latte-red};\n      --color-error-hover: #{color.scale($latte-red, $lightness: 5%)};\n      --color-error-text: #{color.scale($latte-red, $lightness: -10%)};\n      --color-warning: #{$latte-peach};\n      --color-warning-rgb: #{$latte-peach};\n      --color-warning-hover: #{color.scale($latte-peach, $lightness: 5%)};\n      --color-warning-text: #{color.scale($latte-peach, $lightness: -10%)};\n      --color-success: #{$latte-green};\n      --color-success-rgb: #{$latte-green};\n      --color-success-hover: #{color.scale($latte-green, $lightness: 5%)};\n      --color-success-text: #{color.scale($latte-green, $lightness: -10%)};\n      --color-info: #{$latte-blue};\n      --color-info-rgb: #{$latte-blue};\n      --color-info-hover: #{color.scale($latte-blue, $lightness: 5%)};\n      --color-info-text: #{color.scale($latte-blue, $lightness: -10%)};\n      --color-loading-light: #{$latte-overlay0};\n      --color-loading-dark: #{$latte-subtext1};\n      --color-box-shadow-rgb: #{color.scale($latte-crust, $lightness: 10%)};\n      --color-box-shadow: #{color.scale($latte-crust, $lightness: 15%)};\n      --color-border: #{$latte-crust};\n      --color-border-dark: #{color.scale($latte-crust, $lightness: 5%)};\n      --color-border-maxcontrast: #{color.scale($latte-crust, $lightness: -10%)};\n  \n  \n      --color-primary: #{$latte-maroon};\n      --color-primary-default: #{$latte-maroon};\n      --color-primary-text: #{$latte-crust};\n      --color-primary-hover: #{color.scale($latte-maroon, $lightness: -5%)};\n    \n      --color-primary-light: #{$latte-green};\n      --color-primary-light-text: #{$latte-crust};\n      --color-primary-light-hover: #{color.scale($latte-green, $lightness: -5%)};\n    \n      --color-primary-element: #{$latte-maroon};\n      --color-primary-element-hover: #{color.scale($latte-maroon, $lightness: -5%)};\n      --color-primary-element-text: #{$latte-crust};\n      --color-primary-element-text-dark: #{$latte-mantle};\n    \n      --color-primary-element-light: #{$latte-blue};\n      --color-primary-element-light-hover: #{color.scale($latte-blue, $lightness: -5%)};\n      --color-primary-element-light-text: #{$latte-crust};\n      --gradient-primary-background: linear-gradient(40deg, var(--color-primary) 0%, var(--color-primary-hover) 100%);\n      \n      //Unchanged\n      --font-face: system-ui, -apple-system, \"Segoe UI\", Roboto, Oxygen-Sans, Cantarell, Ubuntu, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n      --default-font-size: 15px;\n      --animation-quick: 100ms;\n      --animation-slow: 300ms;\n      --border-radius: 3px;\n      --border-radius-large: 10px;\n      --border-radius-rounded: 28px;\n      --border-radius-pill: 100px;\n      --default-clickable-area: 44px;\n      --default-line-height: 24px;\n      --default-grid-baseline: 4px;\n      --header-height: 50px;\n      --navigation-width: 300px;\n      --sidebar-min-width: 300px;\n      --sidebar-max-width: 500px;\n      --list-min-width: 200px;\n      --list-max-width: 300px;\n      --header-menu-item-height: 44px;\n      --header-menu-profile-item-height: 66px;\n      --breakpoint-mobile: 1024px;\n      --background-invert-if-dark: invert(100%);\n      --background-invert-if-bright: no;\n      --background-image-invert-if-bright: no;\n      --primary-invert-if-bright: no;\n      --primary-invert-if-dark: invert(100%);\n  }\n  [data-theme-dark] {\n  //+0.05,\n    --color-main-background: #{rgba($frappe-base, 0.93)} ;\n    --color-main-background-rgb: #{$frappe-base};\n    --color-main-background-translucent: #{rgba($frappe-base, .97)};\n    --color-main-background-blur: #{rgba($frappe-base, .8)};\n    --filter-background-blur: #{blur(25px)};\n    --gradient-main-background: var(--color-main-background) 0%, var(--color-main-background-translucent) 85%, transparent 100%;\n    --color-background-hover: #{$frappe-surface1};\n    --color-background-dark:  #{color.scale($frappe-surface0, $lightness: 5%)};\n    --color-background-darker: #{$frappe-surface0};\n    --color-placeholder-light: #{color.scale($frappe-surface2, $lightness: 5%)};\n    --color-placeholder-dark: #{$frappe-surface2};\n    --color-main-text: #{$frappe-text};\n    --color-text-maxcontrast: #{$frappe-subtext1};\n    --color-text-maxcontrast-default: #{color.scale($frappe-subtext0, $lightness: 5%)};\n    --color-text-maxcontrast-background-blur: #{$frappe-subtext0};\n    --color-text-light: #{var(--color-main-text)};\n    --color-text-lighter: #{var(--color-text-maxcontrast)};\n    --color-scrollbar: #{$frappe-mauve};\n    --color-error: #{$frappe-red};\n    --color-error-rgb: #{$frappe-red};\n    --color-error-hover: #{color.scale($frappe-red, $lightness: 5%)};\n    --color-error-text: #{color.scale($frappe-red, $lightness: -10%)};\n    --color-warning: #{$frappe-peach};\n    --color-warning-rgb: #{$frappe-peach};\n    --color-warning-hover: #{color.scale($frappe-peach, $lightness: 5%)};\n    --color-warning-text: #{color.scale($frappe-peach, $lightness: -10%)};\n    --color-success: #{$frappe-green};\n    --color-success-rgb: #{$frappe-green};\n    --color-success-hover: #{color.scale($frappe-green, $lightness: 5%)};\n    --color-success-text: #{color.scale($frappe-green, $lightness: -10%)};\n    --color-info: #{$frappe-blue};\n    --color-info-rgb: #{$frappe-blue};\n    --color-info-hover: #{color.scale($frappe-blue, $lightness: 5%)};\n    --color-info-text: #{color.scale($frappe-blue, $lightness: -10%)};\n    --color-loading-light: #{$frappe-overlay0};\n    --color-loading-dark: #{$frappe-subtext1};\n    --color-box-shadow-rgb: #{color.scale($frappe-crust, $lightness: 10%)};\n    --color-box-shadow: #{color.scale($frappe-crust, $lightness: 15%)};\n    --color-border: #{$frappe-crust};\n    --color-border-dark: #{color.scale($frappe-crust, $lightness: 5%)};\n    --color-border-maxcontrast: #{color.scale($frappe-crust, $lightness: -10%)};\n  \n  \n    --color-primary: #{$frappe-maroon};\n    --color-primary-default: #{$frappe-maroon};\n    --color-primary-text: #{$frappe-crust};\n    --color-primary-hover: #{color.scale($frappe-maroon, $lightness: -5%)};\n  \n    --color-primary-light: #{$frappe-green};\n    --color-primary-light-text: #{$frappe-crust};\n    --color-primary-light-hover: #{color.scale($frappe-green, $lightness: -5%)};\n  \n    --color-primary-element: #{$frappe-maroon};\n    --color-primary-element-hover: #{color.scale($frappe-maroon, $lightness: -5%)};\n    --color-primary-element-text: #{$frappe-crust};\n    --color-primary-element-text-dark: #{$frappe-mantle};\n  \n    --color-primary-element-light: #{$frappe-blue};\n    --color-primary-element-light-hover: #{color.scale($frappe-blue, $lightness: -5%)};\n    --color-primary-element-light-text: #{$frappe-crust};\n    --gradient-primary-background: linear-gradient(40deg, var(--color-primary) 0%, var(--color-primary-hover) 100%);\n    \n    //Unchanged\n    --font-face: system-ui, -apple-system, \"Segoe UI\", Roboto, Oxygen-Sans, Cantarell, Ubuntu, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n    --default-font-size: 15px;\n    --animation-quick: 100ms;\n    --animation-slow: 300ms;\n    --border-radius: 3px;\n    --border-radius-large: 10px;\n    --border-radius-rounded: 28px;\n    --border-radius-pill: 100px;\n    --default-clickable-area: 44px;\n    --default-line-height: 24px;\n    --default-grid-baseline: 4px;\n    --header-height: 50px;\n    --navigation-width: 300px;\n    --sidebar-min-width: 300px;\n    --sidebar-max-width: 500px;\n    --list-min-width: 200px;\n    --list-max-width: 300px;\n    --header-menu-item-height: 44px;\n    --header-menu-profile-item-height: 66px;\n    --breakpoint-mobile: 1024px;\n    --background-invert-if-dark: invert(100%);\n    --background-invert-if-bright: no;\n    --background-image-invert-if-bright: no;\n    --primary-invert-if-bright: no;\n    --primary-invert-if-dark: invert(100%);\n  }\n  [data-theme-dark-highcontrast] {\n  //+0.05,\n      --color-main-background: #{rgba($mocha-base, 0.93)} ;\n      --color-main-background-rgb: #{$mocha-base};\n      --color-main-background-translucent: #{rgba($mocha-base, .97)};\n      --color-main-background-blur: #{rgba($mocha-base, .8)};\n      --filter-background-blur: #{blur(25px)};\n      --gradient-main-background: var(--color-main-background) 0%, var(--color-main-background-translucent) 85%, transparent 100%;\n      --color-background-hover: #{$mocha-surface1};\n      --color-background-dark:  #{color.scale($mocha-surface0, $lightness: 5%)};\n      --color-background-darker: #{$mocha-surface0};\n      --color-placeholder-light: #{color.scale($mocha-surface2, $lightness: 5%)};\n      --color-placeholder-dark: #{$mocha-surface2};\n      --color-main-text: #{$mocha-text};\n      --color-text-maxcontrast: #{$mocha-subtext1};\n      --color-text-maxcontrast-default: #{color.scale($mocha-subtext0, $lightness: 5%)};\n      --color-text-maxcontrast-background-blur: #{$mocha-subtext0};\n      --color-text-light: #{var(--color-main-text)};\n      --color-text-lighter: #{var(--color-text-maxcontrast)};\n      --color-scrollbar: #{$mocha-mauve};\n      --color-error: #{$mocha-red};\n      --color-error-rgb: #{$mocha-red};\n      --color-error-hover: #{color.scale($mocha-red, $lightness: 5%)};\n      --color-error-text: #{color.scale($mocha-red, $lightness: -10%)};\n      --color-warning: #{$mocha-peach};\n      --color-warning-rgb: #{$mocha-peach};\n      --color-warning-hover: #{color.scale($mocha-peach, $lightness: 5%)};\n      --color-warning-text: #{color.scale($mocha-peach, $lightness: -10%)};\n      --color-success: #{$mocha-green};\n      --color-success-rgb: #{$mocha-green};\n      --color-success-hover: #{color.scale($mocha-green, $lightness: 5%)};\n      --color-success-text: #{color.scale($mocha-green, $lightness: -10%)};\n      --color-info: #{$mocha-blue};\n      --color-info-rgb: #{$mocha-blue};\n      --color-info-hover: #{color.scale($mocha-blue, $lightness: 5%)};\n      --color-info-text: #{color.scale($mocha-blue, $lightness: -10%)};\n      --color-loading-light: #{$mocha-overlay0};\n      --color-loading-dark: #{$mocha-subtext1};\n      --color-box-shadow-rgb: #{color.scale($mocha-crust, $lightness: 10%)};\n      --color-box-shadow: #{color.scale($mocha-crust, $lightness: 15%)};\n      --color-border: #{$mocha-crust};\n      --color-border-dark: #{color.scale($mocha-crust, $lightness: 5%)};\n      --color-border-maxcontrast: #{color.scale($mocha-crust, $lightness: -10%)};\n  \n  \n      --color-primary: #{$mocha-maroon};\n      --color-primary-default: #{$mocha-maroon};\n      --color-primary-text: #{$mocha-crust};\n      --color-primary-hover: #{color.scale($mocha-maroon, $lightness: -5%)};\n    \n      --color-primary-light: #{$mocha-green};\n      --color-primary-light-text: #{$mocha-crust};\n      --color-primary-light-hover: #{color.scale($mocha-green, $lightness: -5%)};\n    \n      --color-primary-element: #{$mocha-maroon};\n      --color-primary-element-hover: #{color.scale($mocha-maroon, $lightness: -5%)};\n      --color-primary-element-text: #{$mocha-crust};\n      --color-primary-element-text-dark: #{$mocha-mantle};\n    \n      --color-primary-element-light: #{$mocha-blue};\n      --color-primary-element-light-hover: #{color.scale($mocha-blue, $lightness: -5%)};\n      --color-primary-element-light-text: #{$mocha-crust};\n      --gradient-primary-background: linear-gradient(40deg, var(--color-primary) 0%, var(--color-primary-hover) 100%);\n      \n      //Unchanged\n      --font-face: system-ui, -apple-system, \"Segoe UI\", Roboto, Oxygen-Sans, Cantarell, Ubuntu, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n      --default-font-size: 15px;\n      --animation-quick: 100ms;\n      --animation-slow: 300ms;\n      --border-radius: 3px;\n      --border-radius-large: 10px;\n      --border-radius-rounded: 28px;\n      --border-radius-pill: 100px;\n      --default-clickable-area: 44px;\n      --default-line-height: 24px;\n      --default-grid-baseline: 4px;\n      --header-height: 50px;\n      --navigation-width: 300px;\n      --sidebar-min-width: 300px;\n      --sidebar-max-width: 500px;\n      --list-min-width: 200px;\n      --list-max-width: 300px;\n      --header-menu-item-height: 44px;\n      --header-menu-profile-item-height: 66px;\n      --breakpoint-mobile: 1024px;\n      --background-invert-if-dark: invert(100%);\n      --background-invert-if-bright: no;\n      --background-image-invert-if-bright: no;\n      --primary-invert-if-bright: no;\n      --primary-invert-if-dark: invert(100%);\n  }\n  [data-theme-light-highcontrast] {\n  //+0.05,\n      --color-main-background: #{rgba($macchiato-base, 0.93)} ;\n      --color-main-background-rgb: #{$macchiato-base};\n      --color-main-background-translucent: #{rgba($macchiato-base, .97)};\n      --color-main-background-blur: #{rgba($macchiato-base, .8)};\n      --filter-background-blur: #{blur(25px)};\n      --gradient-main-background: var(--color-main-background) 0%, var(--color-main-background-translucent) 85%, transparent 100%;\n      --color-background-hover: #{$macchiato-surface1};\n      --color-background-dark:  #{color.scale($macchiato-surface0, $lightness: 5%)};\n      --color-background-darker: #{$macchiato-surface0};\n      --color-placeholder-light: #{color.scale($macchiato-surface2, $lightness: 5%)};\n      --color-placeholder-dark: #{$macchiato-surface2};\n      --color-main-text: #{$macchiato-text};\n      --color-text-maxcontrast: #{$macchiato-subtext1};\n      --color-text-maxcontrast-default: #{color.scale($macchiato-subtext0, $lightness: 5%)};\n      --color-text-maxcontrast-background-blur: #{$macchiato-subtext0};\n      --color-text-light: #{var(--color-main-text)};\n      --color-text-lighter: #{var(--color-text-maxcontrast)};\n      --color-scrollbar: #{$macchiato-mauve};\n      --color-error: #{$macchiato-red};\n      --color-error-rgb: #{$macchiato-red};\n      --color-error-hover: #{color.scale($macchiato-red, $lightness: 5%)};\n      --color-error-text: #{color.scale($macchiato-red, $lightness: -10%)};\n      --color-warning: #{$macchiato-peach};\n      --color-warning-rgb: #{$macchiato-peach};\n      --color-warning-hover: #{color.scale($macchiato-peach, $lightness: 5%)};\n      --color-warning-text: #{color.scale($macchiato-peach, $lightness: -10%)};\n      --color-success: #{$macchiato-green};\n      --color-success-rgb: #{$macchiato-green};\n      --color-success-hover: #{color.scale($macchiato-green, $lightness: 5%)};\n      --color-success-text: #{color.scale($macchiato-green, $lightness: -10%)};\n      --color-info: #{$macchiato-blue};\n      --color-info-rgb: #{$macchiato-blue};\n      --color-info-hover: #{color.scale($macchiato-blue, $lightness: 5%)};\n      --color-info-text: #{color.scale($macchiato-blue, $lightness: -10%)};\n      --color-loading-light: #{$macchiato-overlay0};\n      --color-loading-dark: #{$macchiato-subtext1};\n      --color-box-shadow-rgb: #{color.scale($macchiato-crust, $lightness: 10%)};\n      --color-box-shadow: #{color.scale($macchiato-crust, $lightness: 15%)};\n      --color-border: #{$macchiato-crust};\n      --color-border-dark: #{color.scale($macchiato-crust, $lightness: 5%)};\n      --color-border-maxcontrast: #{color.scale($macchiato-crust, $lightness: -10%)};\n  \n  \n      --color-primary: #{$macchiato-maroon};\n      --color-primary-default: #{$macchiato-maroon};\n      --color-primary-text: #{$macchiato-crust};\n      --color-primary-hover: #{color.scale($macchiato-maroon, $lightness: -5%)};\n    \n      --color-primary-light: #{$macchiato-green};\n      --color-primary-light-text: #{$macchiato-crust};\n      --color-primary-light-hover: #{color.scale($macchiato-green, $lightness: -5%)};\n    \n      --color-primary-element: #{$macchiato-maroon};\n      --color-primary-element-hover: #{color.scale($macchiato-maroon, $lightness: -5%)};\n      --color-primary-element-text: #{$macchiato-crust};\n      --color-primary-element-text-dark: #{$macchiato-mantle};\n    \n      --color-primary-element-light: #{$macchiato-blue};\n      --color-primary-element-light-hover: #{color.scale($macchiato-blue, $lightness: -5%)};\n      --color-primary-element-light-text: #{$macchiato-crust};\n      --gradient-primary-background: linear-gradient(40deg, var(--color-primary) 0%, var(--color-primary-hover) 100%);\n      \n      //Unchanged\n      --font-face: system-ui, -apple-system, \"Segoe UI\", Roboto, Oxygen-Sans, Cantarell, Ubuntu, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n      --default-font-size: 15px;\n      --animation-quick: 100ms;\n      --animation-slow: 300ms;\n      --border-radius: 3px;\n      --border-radius-large: 10px;\n      --border-radius-rounded: 28px;\n      --border-radius-pill: 100px;\n      --default-clickable-area: 44px;\n      --default-line-height: 24px;\n      --default-grid-baseline: 4px;\n      --header-height: 50px;\n      --navigation-width: 300px;\n      --sidebar-min-width: 300px;\n      --sidebar-max-width: 500px;\n      --list-min-width: 200px;\n      --list-max-width: 300px;\n      --header-menu-item-height: 44px;\n      --header-menu-profile-item-height: 66px;\n      --breakpoint-mobile: 1024px;\n      --background-invert-if-dark: invert(100%);\n      --background-invert-if-bright: no;\n      --background-image-invert-if-bright: no;\n      --primary-invert-if-bright: no;\n      --primary-invert-if-dark: invert(100%);\n  }\n  \n  /*Theme selection hide old description*/\n  .theming__preview .checkbox-radio-switch__text,\n  .theming__preview--light h3, .theming__preview--light p,\n  .theming__preview--dark h3, .theming__preview--dark p,\n  .theming__preview--light-highcontrast h3, .theming__preview--light-highcontrast p,\n  .theming__preview--dark-highcontrast h3, .theming__preview--dark-highcontrast p {\n  visibility: hidden;\n  }\n  \n  //Replace old radio btn. lable\n  .theming__preview .checkbox-radio-switch__text::before {\n  visibility: visible;\n  content: \"Enable this theme\";\n  }\n  \n  //Show new theme description\n  .theming__preview--light h3::before {\n  content: \"Latte theme\";\n  visibility: visible;\n  }\n  .theming__preview--light p::before {\n  content: \"The catppuccino light theme\";\n  visibility: visible;\n  }\n  .theming__preview--light .theming__preview-image,\n  .theming__preview--dark .theming__preview-image,\n  .theming__preview--light-highcontrast .theming__preview-image,\n  .theming__preview--dark-highcontrast .theming__preview-image {\n  //background-image: TODO; !important;\n  display: none;\n  }\n  \n  //Show new theme description\n  .theming__preview--dark h3::before {\n  content: \"Frappe Theme\";\n  visibility: visible;\n  }\n  .theming__preview--dark p::before {\n  content: \"The milde and cozy catppuccino dark theme\";\n  visibility: visible;\n  }\n  \n  //Show new theme description\n  .theming__preview--light-highcontrast h3::before {\n  content: \"Macchiato Theme\";\n  visibility: visible;\n  }\n  .theming__preview--light-highcontrast p::before {\n  content: \"Catpuccinos perfect mix between Mocha and Frappe\";\n  visibility: visible;\n  }\n  \n  //Show new theme description\n  .theming__preview--dark-highcontrast h3::before {\n  content: \"Mocha Theme\";\n  visibility: visible;\n  }\n  .theming__preview--dark-highcontrast p::before {\n  content: \"Catppuccinos dark theme withe bright colors\";\n  visibility: visible;\n  }\n  \n  \n  /*Setting left nav Pannel to be transparent without blur*/\n  .app-navigation {\n  background-color: var(--color-main-background) !important;\n  backdrop-filter: None !important;\n  }\n  \n  /*Setting markdown editor link color to primary light*/\n  .paragraph-content a {\n  color: var(--color-primary-element-light) !important; \n  }\n  \n  /*Fixing Dashboards toggel item widget visibility (e.g. weather)*/\n  .action-item__menutoggle{\n  background-color: var(--color-primary-element-light) !important;\n  }\n  /*Fixing Dashboard Welcome msg visibility*/\n  .app-dashboard h2:nth-child(1) {\n  color: var(--color-main-text) !important;\n  }\n  \n  /*Fixing Mail sidebar 1 text visibility when selected*/\n  .app-navigation-entry.active a{\n  color: var(--color-primary-element-text) !important;\n  }\n  /*Fixing Mail sidebar 2 text visibility when selected*/\n  .list-item__wrapper.list-item__wrapper--active .list-item-content__main span,\n  .list-item__wrapper.list-item__wrapper--active .list-item-content__main span .envelope__preview-text{\n  color: var(--color-primary-element-text) !important;\n  }\n  \n  /*Fixing visibility of left header label and right header icons*/\n  .header-right .header-menu button,\n  .headeu-main li .app-menu-entry--label{\n  color: var(--color-main-text) !important;\n  }\n  r-right .header-menu .unified-search__button[data-v-3883344d],\n  .app-men\n  ```\n  \n  ---\n  \n  ```\n  /*Fixing share link folder icon*/\n  .files-public-content .thumbnail\n  {\n    filter: brightness(0) saturate(100%) invert(93%) sepia(17%) saturate(7243%) hue-rotate(295deg) brightness(97%) contrast(89%);\n  }\n  \n  .files-public-content .files-fileList .date {\n  color: var(--color-main-text) !important;\n  }\n  ```",536870919]],["^15",[258,"^17",1751932905410,536870919]],["^15",[258,"^Z","pages/Server___Nextcloud Notes.md",536870919]],["^15",[259,"^K",1751932905409,536870919]],["^15",[259,"^[",258,536870919]],["^15",[259,"^@",false,536870919]],["^15",[259,"^Y","server/nextcloud notes",536870919]],["^15",[259,"^A",245,536870919]],["^15",[259,"^11","Server/Nextcloud Notes",536870919]],["^15",[259,"^B",1751932905409,536870919]],["^15",[259,"^;","~u686c5fe9-d6ed-41e3-bfd7-d18b1fac35ca",536870919]],["^15",[260,"^K",1751932905409,536870919]],["^15",[260,"^@",false,536870919]],["^15",[260,"^Y","onlyoffice",536870919]],["^15",[260,"^11","Onlyoffice",536870919]],["^15",[260,"^B",1751932905409,536870919]],["^15",[260,"^;","~u686c5fe9-65ac-48e9-a8ba-0a2dfe1dae20",536870919]],["^15",[261,"^K",1751932905409,536870919]],["^15",[261,"^@",false,536870919]],["^15",[261,"^Y","nextcloud",536870919]],["^15",[261,"^11","Nextcloud",536870919]],["^15",[261,"^B",1751932905409,536870919]],["^15",[261,"^;","~u686c5fe9-ac50-44d8-bac2-ff23959ef722",536870919]],["^15",[262,"^K",1751932905409,536870919]],["^15",[262,"^@",false,536870919]],["^15",[262,"^Y","server/nextcloud notes/test",536870919]],["^15",[262,"^A",259,536870919]],["^15",[262,"^11","Server/Nextcloud Notes/test",536870919]],["^15",[262,"^B",1751932905409,536870919]],["^15",[262,"^;","~u686c5fe9-0421-45d1-b247-c28ff225a83e",536870919]],["^15",[263,"^Q","**Notes:**\nbackground-color:: red",536870919]],["^15",[263,"^O","^16",536870919]],["^15",[263,"^F",267,536870919]],["^15",[263,"^X",259,536870919]],["^15",[263,"^V",264,536870919]],["^15",[263,"^U",259,536870919]],["^15",[263,"^?",["^ ","^1=","red"],536870919]],["^15",[263,"^J",["^1="],536870919]],["^15",[263,"^4",["^ ","^1=","red"],536870919]],["^15",[263,"^;","~u686c5fe9-9b66-4676-8897-05e05af93971",536870919]],["^15",[264,"^Q","## Meta",536870919]],["^15",[264,"^O","^16",536870919]],["^15",[264,"^F",259,536870919]],["^15",[264,"^X",259,536870919]],["^15",[264,"^V",259,536870919]],["^15",[264,"^U",259,536870919]],["^15",[264,"^?",["^ ","^1;",2],536870919]],["^15",[264,"^J",[],536870919]],["^15",[264,"^;","~u686c5fe9-d844-413f-91b7-7f21bc80222a",536870919]],["^15",[265,"^Q","### Recognizer: php --define memory_limit=2048M",536870919]],["^15",[265,"^O","^16",536870919]],["^15",[265,"^F",283,536870919]],["^15",[265,"^X",259,536870919]],["^15",[265,"^V",259,536870919]],["^15",[265,"^U",259,536870919]],["^15",[265,"^?",["^ ","^1;",3],536870919]],["^15",[265,"^J",[],536870919]],["^15",[265,"^;","~u686c5fe9-405d-40de-98b8-cf3bf64464e6",536870919]],["^15",[266,"^Q","use sudo crontab -e  --> System host crontab to regularly run jobs",536870919]],["^15",[266,"^O","^16",536870919]],["^15",[266,"^F",287,536870919]],["^15",[266,"^X",259,536870919]],["^15",[266,"^V",287,536870919]],["^15",[266,"^U",259,536870919]],["^15",[266,"^;","~u686c5fe9-343c-4ce6-8748-133bb2e8dbac",536870919]],["^15",[267,"^Q","Additional References:",536870919]],["^15",[267,"^O","^16",536870919]],["^15",[267,"^F",281,536870919]],["^15",[267,"^X",259,536870919]],["^15",[267,"^V",264,536870919]],["^15",[267,"^U",259,536870919]],["^15",[267,"^;","~u686c5fe9-2100-4efa-ab19-168920497292",536870919]],["^15",[268,"^Q","To set memory allowed memory size",536870919]],["^15",[268,"^O","^16",536870919]],["^15",[268,"^F",265,536870919]],["^15",[268,"^X",259,536870919]],["^15",[268,"^V",265,536870919]],["^15",[268,"^U",259,536870919]],["^15",[268,"^;","~u686c5fe9-78e8-40b3-86c4-6f7bd726435a",536870919]],["^15",[269,"^Q","~```\n#rewrite ^/$ $the_scheme://$the_host/welcome/ redirect; \nrewrite ^/welcome $the_scheme://$the_host redirect;\nlocation = / { return 404; }\n```",536870919]],["^15",[269,"^O","^16",536870919]],["^15",[269,"^F",284,536870919]],["^15",[269,"^X",259,536870919]],["^15",[269,"^V",290,536870919]],["^15",[269,"^U",259,536870919]],["^15",[269,"^;","~u686c5fe9-4a0a-424f-b7b0-05b971903d5d",536870919]],["^15",[270,"^Q","### Domains as Iframes\n ![](https://nextcloud.urmel.duckdns.org/apps/text/image?documentId=2852&sessionId=895&sessionToken=vbMVkIDUFi94FiL%2B2N5umrWqoB5nFNEI1al4rvKqSGbn0LP2kFrrt%2BaZ6OsTUYaY&imageFileName=image.png){:height 1032, :width 776}",536870919]],["^15",[270,"^O","^16",536870919]],["^15",[270,"^F",287,536870919]],["^15",[270,"^X",259,536870919]],["^15",[270,"^V",259,536870919]],["^15",[270,"^U",259,536870919]],["^15",[270,"^?",["^ ","^1;",3],536870919]],["^15",[270,"^J",[],536870919]],["^15",[270,"^;","~u686c5fe9-178f-42f3-a898-ed796a5af822",536870919]],["^15",[271,"^Q","**Summery**:\nbackground-color:: blue",536870919]],["^15",[271,"^O","^16",536870919]],["^15",[271,"^F",280,536870919]],["^15",[271,"^X",259,536870919]],["^15",[271,"^V",264,536870919]],["^15",[271,"^U",259,536870919]],["^15",[271,"^?",["^ ","^1=","blue"],536870919]],["^15",[271,"^J",["^1="],536870919]],["^15",[271,"^4",["^ ","^1=","blue"],536870919]],["^15",[271,"^;","~u686c5fe9-fd9e-4133-aae7-b2b34b41ae8f",536870919]],["^15",[272,"^Q","",536870919]],["^15",[272,"^O","^16",536870919]],["^15",[272,"^F",282,536870919]],["^15",[272,"^X",259,536870919]],["^15",[272,"^V",259,536870919]],["^15",[272,"^U",259,536870919]],["^15",[272,"^;","~u686c5fe9-1fb2-453f-a4b8-463f947d98b2",536870919]],["^15",[273,"^Q","On crash a explicit restart on Server side of the Service may be required",536870919]],["^15",[273,"^O","^16",536870919]],["^15",[273,"^F",283,536870919]],["^15",[273,"^X",259,536870919]],["^15",[273,"^V",283,536870919]],["^15",[273,"^U",259,536870919]],["^15",[273,"^;","~u686c5fe9-44a2-4db6-8e90-8dfd0f5ad55c",536870919]],["^15",[274,"^Q","https://forum.onlyoffice.com/t/hide-deactivate-welcome-page/566/4",536870919]],["^15",[274,"^O","^16",536870919]],["^15",[274,"^F",286,536870919]],["^15",[274,"^X",259,536870919]],["^15",[274,"^V",286,536870919]],["^15",[274,"^U",259,536870919]],["^15",[274,"^;","~u686c5fe9-acb1-4c8e-9872-6b8d255fd430",536870919]],["^15",[275,"^Q","apt update && apt -y install ffmpeg",536870919]],["^15",[275,"^O","^16",536870919]],["^15",[275,"^F",292,536870919]],["^15",[275,"^X",259,536870919]],["^15",[275,"^V",292,536870919]],["^15",[275,"^U",259,536870919]],["^15",[275,"^;","~u686c5fe9-2fca-423e-851c-31ad0c2a587d",536870919]],["^15",[276,"^Q","{{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Server/Nextcloud Notes]]) (namespace [[Server/Nextcloud Notes]])))}}",536870919]],["^15",[276,"^O","^16",536870919]],["^15",[276,"^F",280,536870919]],["^15",[276,"^S",294,536870919]],["^15",[276,"^X",259,536870919]],["^15",[276,"^V",280,536870919]],["^15",[276,"^U",259,536870919]],["^15",[276,"^;","~u686c5fe9-ab0a-4b71-88d7-287a83c5a458",536870919]],["^15",[277,"^Q","https://help.nextcloud.com/t/nextcloud-docker-container-best-way-to-run-cron-job/157734/3",536870919]],["^15",[277,"^O","^16",536870919]],["^15",[277,"^F",285,536870919]],["^15",[277,"^X",259,536870919]],["^15",[277,"^V",285,536870919]],["^15",[277,"^U",259,536870919]],["^15",[277,"^;","~u686c5fe9-8b49-402c-a4c9-3398e8f63235",536870919]],["^15",[278,"^Q","---",536870919]],["^15",[278,"^O","^16",536870919]],["^15",[278,"^F",264,536870919]],["^15",[278,"^X",259,536870919]],["^15",[278,"^V",259,536870919]],["^15",[278,"^U",259,536870919]],["^15",[278,"^;","~u686c5fe9-9fbb-426a-8bfb-1430b604898c",536870919]],["^15",[279,"^Q","### Custom CSS\n\n```scss\n@use 'sass:color';\n/* Latte Theme */\n$latte-rosewater: rgb(220, 138, 120);\n$latte-flamingo: rgb(221, 120, 120);\n$latte-pink: rgb(234, 118, 203);\n$latte-mauve: rgb(136, 57, 239);\n$latte-red: rgb(210, 15, 57);\n$latte-maroon: rgb(230, 69, 83);\n$latte-peach: rgb(254, 100, 11);\n$latte-yellow: rgb(223, 142, 29);\n$latte-green: rgb(64, 160, 43);\n$latte-teal: rgb(23, 146, 153);\n$latte-sky: rgb(4, 165, 229);\n$latte-sapphire: rgb(32, 159, 181);\n$latte-blue: rgb(30, 102, 245);\n$latte-lavender: rgb(114, 135, 253);\n$latte-text: rgb(76, 79, 105);\n$latte-subtext1: rgb(92, 95, 119);\n$latte-subtext0: rgb(108, 111, 133);\n$latte-overlay2: rgb(124, 127, 147);\n$latte-overlay1: rgb(140, 143, 161);\n$latte-overlay0: rgb(156, 160, 176);\n$latte-surface2: rgb(172, 176, 190);\n$latte-surface1: rgb(188, 192, 204);\n$latte-surface0: rgb(204, 208, 218);\n$latte-base: rgb(239, 241, 245);\n$latte-mantle: rgb(230, 233, 239);\n$latte-crust: rgb(220, 224, 232);\n\n/* Frappe Theme */\n$frappe-rosewater: rgb(242, 213, 207); \n$frappe-flamingo: rgb(238, 190, 190);\n$frappe-pink: rgb(244, 184, 228);\n$frappe-mauve: rgb(202, 158, 230);\n$frappe-red: rgb(231, 130, 132);\n$frappe-maroon: rgb(234, 153, 156);\n$frappe-peach: rgb(239, 159, 118);\n$frappe-yellow: rgb(229, 200, 144);\n$frappe-green: rgb(166, 209, 137);\n$frappe-teal: rgb(129, 200, 190);\n$frappe-sky: rgb(153, 209, 219);\n$frappe-sapphire: rgb(133, 193, 220);\n$frappe-blue: rgb(140, 170, 238);\n$frappe-lavender: rgb(186, 187, 241);\n$frappe-text: rgb(198, 208, 245);\n$frappe-subtext1: rgb(181, 191, 226);\n$frappe-subtext0: rgb(165, 173, 206);\n$frappe-overlay2: rgb(148, 156, 187);\n$frappe-overlay1: rgb(131, 139, 167);\n$frappe-overlay0: rgb(115, 121, 148);\n$frappe-surface2: rgb(98, 104, 128);\n$frappe-surface1: rgb(81, 87, 109);\n$frappe-surface0: rgb(65, 69, 89);\n$frappe-base: rgb(48, 52, 70);\n$frappe-mantle: rgb(41, 44, 60);\n$frappe-crust: rgb(35, 38, 52);\n\n/* Macchiato Theme */\n$macchiato-rosewater: rgb(244, 219, 214);\n$macchiato-flamingo: rgb(240, 198, 198);\n$macchiato-pink: rgb(245, 189, 230);\n$macchiato-mauve: rgb(198, 160, 246);\n$macchiato-red: rgb(237, 135, 150);\n$macchiato-maroon: rgb(238, 153, 160);\n$macchiato-peach: rgb(245, 169, 127);\n$macchiato-yellow: rgb(238, 212, 159);\n$macchiato-green: rgb(166, 218, 149);\n$macchiato-teal: rgb(139, 213, 202);\n$macchiato-sky: rgb(145, 215, 227);\n$macchiato-sapphire: rgb(125, 196, 228);\n$macchiato-blue: rgb(138, 173, 244);\n$macchiato-lavender: rgb(183, 189, 248);\n$macchiato-text: rgb(202, 211, 245);\n$macchiato-subtext1: rgb(184, 192, 224);\n$macchiato-subtext0: rgb(165, 173, 203);\n$macchiato-overlay2: rgb(147, 154, 183);\n$macchiato-overlay1: rgb(128, 135, 162);\n$macchiato-overlay0: rgb(110, 115, 141);\n$macchiato-surface2: rgb(91, 96, 120);\n$macchiato-surface1: rgb(73, 77, 100);\n$macchiato-surface0: rgb(54, 58, 79);\n$macchiato-base: rgb(36, 39, 58);\n$macchiato-mantle: rgb(30, 32, 48);\n$macchiato-crust: rgb(24, 25, 38);\n\n/* Mocha Theme */\n$mocha-rosewater: rgb(245, 224, 220);\n$mocha-flamingo: rgb(242, 205, 205);\n$mocha-pink: rgb(245, 194, 231);\n$mocha-mauve: rgb(203, 166, 247);\n$mocha-red: rgb(243, 139, 168);\n$mocha-maroon: rgb(235, 160, 172);\n$mocha-peach: rgb(250, 179, 135);\n$mocha-yellow: rgb(249, 226, 175);\n$mocha-green: rgb(166, 227, 161);\n$mocha-teal: rgb(148, 226, 213);\n$mocha-sky: rgb(137, 220, 235);\n$mocha-sapphire: rgb(116, 199, 236);\n$mocha-blue: rgb(137, 180, 250);\n$mocha-lavender: rgb(180, 190, 254);\n$mocha-text: rgb(205, 214, 244);\n$mocha-subtext1: rgb(186, 194, 222);\n$mocha-subtext0: rgb(166, 173, 200);\n$mocha-overlay2: rgb(147, 153, 178);\n$mocha-overlay1: rgb(127, 132, 156);\n$mocha-overlay0: rgb(108, 112, 134);\n$mocha-surface2: rgb(88, 91, 112);\n$mocha-surface1: rgb(69, 71, 90);\n$mocha-surface0: rgb(49, 50, 68);\n$mocha-base: rgb(30, 30, 46);\n$mocha-mantle: rgb(24, 24, 37);\n$mocha-crust: rgb(17, 17, 27);\n\n\n[data-theme-light] {\n//+0.05,\n    --color-main-background: #{rgba($latte-base, 0.93)} ;\n    --color-main-background-rgb: #{$latte-base};\n    --color-main-background-translucent: #{rgba($latte-base, .97)};\n    --color-main-background-blur: #{rgba($latte-base, .8)};\n    --filter-background-blur: #{blur(25px)};\n    --gradient-main-background: var(--color-main-background) 0%, var(--color-main-background-translucent) 85%, transparent 100%;\n    --color-background-hover: #{$latte-surface1};\n    --color-background-dark:  #{color.scale($latte-surface0, $lightness: 5%)};\n    --color-background-darker: #{$latte-surface0};\n    --color-placeholder-light: #{color.scale($latte-surface2, $lightness: 5%)};\n    --color-placeholder-dark: #{$latte-surface2};\n    --color-main-text: #{$latte-text};\n    --color-text-maxcontrast: #{$latte-subtext1};\n    --color-text-maxcontrast-default: #{color.scale($latte-subtext0, $lightness: 5%)};\n    --color-text-maxcontrast-background-blur: #{$latte-subtext0};\n    --color-text-light: #{var(--color-main-text)};\n    --color-text-lighter: #{var(--color-text-maxcontrast)};\n    --color-scrollbar: #{$latte-mauve};\n    --color-error: #{$latte-red};\n    --color-error-rgb: #{$latte-red};\n    --color-error-hover: #{color.scale($latte-red, $lightness: 5%)};\n    --color-error-text: #{color.scale($latte-red, $lightness: -10%)};\n    --color-warning: #{$latte-peach};\n    --color-warning-rgb: #{$latte-peach};\n    --color-warning-hover: #{color.scale($latte-peach, $lightness: 5%)};\n    --color-warning-text: #{color.scale($latte-peach, $lightness: -10%)};\n    --color-success: #{$latte-green};\n    --color-success-rgb: #{$latte-green};\n    --color-success-hover: #{color.scale($latte-green, $lightness: 5%)};\n    --color-success-text: #{color.scale($latte-green, $lightness: -10%)};\n    --color-info: #{$latte-blue};\n    --color-info-rgb: #{$latte-blue};\n    --color-info-hover: #{color.scale($latte-blue, $lightness: 5%)};\n    --color-info-text: #{color.scale($latte-blue, $lightness: -10%)};\n    --color-loading-light: #{$latte-overlay0};\n    --color-loading-dark: #{$latte-subtext1};\n    --color-box-shadow-rgb: #{color.scale($latte-crust, $lightness: 10%)};\n    --color-box-shadow: #{color.scale($latte-crust, $lightness: 15%)};\n    --color-border: #{$latte-crust};\n    --color-border-dark: #{color.scale($latte-crust, $lightness: 5%)};\n    --color-border-maxcontrast: #{color.scale($latte-crust, $lightness: -10%)};\n\n\n    --color-primary: #{$latte-maroon};\n    --color-primary-default: #{$latte-maroon};\n    --color-primary-text: #{$latte-crust};\n    --color-primary-hover: #{color.scale($latte-maroon, $lightness: -5%)};\n  \n    --color-primary-light: #{$latte-green};\n    --color-primary-light-text: #{$latte-crust};\n    --color-primary-light-hover: #{color.scale($latte-green, $lightness: -5%)};\n  \n    --color-primary-element: #{$latte-maroon};\n    --color-primary-element-hover: #{color.scale($latte-maroon, $lightness: -5%)};\n    --color-primary-element-text: #{$latte-crust};\n    --color-primary-element-text-dark: #{$latte-mantle};\n  \n    --color-primary-element-light: #{$latte-blue};\n    --color-primary-element-light-hover: #{color.scale($latte-blue, $lightness: -5%)};\n    --color-primary-element-light-text: #{$latte-crust};\n    --gradient-primary-background: linear-gradient(40deg, var(--color-primary) 0%, var(--color-primary-hover) 100%);\n    \n    //Unchanged\n    --font-face: system-ui, -apple-system, \"Segoe UI\", Roboto, Oxygen-Sans, Cantarell, Ubuntu, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n    --default-font-size: 15px;\n    --animation-quick: 100ms;\n    --animation-slow: 300ms;\n    --border-radius: 3px;\n    --border-radius-large: 10px;\n    --border-radius-rounded: 28px;\n    --border-radius-pill: 100px;\n    --default-clickable-area: 44px;\n    --default-line-height: 24px;\n    --default-grid-baseline: 4px;\n    --header-height: 50px;\n    --navigation-width: 300px;\n    --sidebar-min-width: 300px;\n    --sidebar-max-width: 500px;\n    --list-min-width: 200px;\n    --list-max-width: 300px;\n    --header-menu-item-height: 44px;\n    --header-menu-profile-item-height: 66px;\n    --breakpoint-mobile: 1024px;\n    --background-invert-if-dark: invert(100%);\n    --background-invert-if-bright: no;\n    --background-image-invert-if-bright: no;\n    --primary-invert-if-bright: no;\n    --primary-invert-if-dark: invert(100%);\n}\n[data-theme-dark] {\n//+0.05,\n  --color-main-background: #{rgba($frappe-base, 0.93)} ;\n  --color-main-background-rgb: #{$frappe-base};\n  --color-main-background-translucent: #{rgba($frappe-base, .97)};\n  --color-main-background-blur: #{rgba($frappe-base, .8)};\n  --filter-background-blur: #{blur(25px)};\n  --gradient-main-background: var(--color-main-background) 0%, var(--color-main-background-translucent) 85%, transparent 100%;\n  --color-background-hover: #{$frappe-surface1};\n  --color-background-dark:  #{color.scale($frappe-surface0, $lightness: 5%)};\n  --color-background-darker: #{$frappe-surface0};\n  --color-placeholder-light: #{color.scale($frappe-surface2, $lightness: 5%)};\n  --color-placeholder-dark: #{$frappe-surface2};\n  --color-main-text: #{$frappe-text};\n  --color-text-maxcontrast: #{$frappe-subtext1};\n  --color-text-maxcontrast-default: #{color.scale($frappe-subtext0, $lightness: 5%)};\n  --color-text-maxcontrast-background-blur: #{$frappe-subtext0};\n  --color-text-light: #{var(--color-main-text)};\n  --color-text-lighter: #{var(--color-text-maxcontrast)};\n  --color-scrollbar: #{$frappe-mauve};\n  --color-error: #{$frappe-red};\n  --color-error-rgb: #{$frappe-red};\n  --color-error-hover: #{color.scale($frappe-red, $lightness: 5%)};\n  --color-error-text: #{color.scale($frappe-red, $lightness: -10%)};\n  --color-warning: #{$frappe-peach};\n  --color-warning-rgb: #{$frappe-peach};\n  --color-warning-hover: #{color.scale($frappe-peach, $lightness: 5%)};\n  --color-warning-text: #{color.scale($frappe-peach, $lightness: -10%)};\n  --color-success: #{$frappe-green};\n  --color-success-rgb: #{$frappe-green};\n  --color-success-hover: #{color.scale($frappe-green, $lightness: 5%)};\n  --color-success-text: #{color.scale($frappe-green, $lightness: -10%)};\n  --color-info: #{$frappe-blue};\n  --color-info-rgb: #{$frappe-blue};\n  --color-info-hover: #{color.scale($frappe-blue, $lightness: 5%)};\n  --color-info-text: #{color.scale($frappe-blue, $lightness: -10%)};\n  --color-loading-light: #{$frappe-overlay0};\n  --color-loading-dark: #{$frappe-subtext1};\n  --color-box-shadow-rgb: #{color.scale($frappe-crust, $lightness: 10%)};\n  --color-box-shadow: #{color.scale($frappe-crust, $lightness: 15%)};\n  --color-border: #{$frappe-crust};\n  --color-border-dark: #{color.scale($frappe-crust, $lightness: 5%)};\n  --color-border-maxcontrast: #{color.scale($frappe-crust, $lightness: -10%)};\n\n\n  --color-primary: #{$frappe-maroon};\n  --color-primary-default: #{$frappe-maroon};\n  --color-primary-text: #{$frappe-crust};\n  --color-primary-hover: #{color.scale($frappe-maroon, $lightness: -5%)};\n\n  --color-primary-light: #{$frappe-green};\n  --color-primary-light-text: #{$frappe-crust};\n  --color-primary-light-hover: #{color.scale($frappe-green, $lightness: -5%)};\n\n  --color-primary-element: #{$frappe-maroon};\n  --color-primary-element-hover: #{color.scale($frappe-maroon, $lightness: -5%)};\n  --color-primary-element-text: #{$frappe-crust};\n  --color-primary-element-text-dark: #{$frappe-mantle};\n\n  --color-primary-element-light: #{$frappe-blue};\n  --color-primary-element-light-hover: #{color.scale($frappe-blue, $lightness: -5%)};\n  --color-primary-element-light-text: #{$frappe-crust};\n  --gradient-primary-background: linear-gradient(40deg, var(--color-primary) 0%, var(--color-primary-hover) 100%);\n  \n  //Unchanged\n  --font-face: system-ui, -apple-system, \"Segoe UI\", Roboto, Oxygen-Sans, Cantarell, Ubuntu, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n  --default-font-size: 15px;\n  --animation-quick: 100ms;\n  --animation-slow: 300ms;\n  --border-radius: 3px;\n  --border-radius-large: 10px;\n  --border-radius-rounded: 28px;\n  --border-radius-pill: 100px;\n  --default-clickable-area: 44px;\n  --default-line-height: 24px;\n  --default-grid-baseline: 4px;\n  --header-height: 50px;\n  --navigation-width: 300px;\n  --sidebar-min-width: 300px;\n  --sidebar-max-width: 500px;\n  --list-min-width: 200px;\n  --list-max-width: 300px;\n  --header-menu-item-height: 44px;\n  --header-menu-profile-item-height: 66px;\n  --breakpoint-mobile: 1024px;\n  --background-invert-if-dark: invert(100%);\n  --background-invert-if-bright: no;\n  --background-image-invert-if-bright: no;\n  --primary-invert-if-bright: no;\n  --primary-invert-if-dark: invert(100%);\n}\n[data-theme-dark-highcontrast] {\n//+0.05,\n    --color-main-background: #{rgba($mocha-base, 0.93)} ;\n    --color-main-background-rgb: #{$mocha-base};\n    --color-main-background-translucent: #{rgba($mocha-base, .97)};\n    --color-main-background-blur: #{rgba($mocha-base, .8)};\n    --filter-background-blur: #{blur(25px)};\n    --gradient-main-background: var(--color-main-background) 0%, var(--color-main-background-translucent) 85%, transparent 100%;\n    --color-background-hover: #{$mocha-surface1};\n    --color-background-dark:  #{color.scale($mocha-surface0, $lightness: 5%)};\n    --color-background-darker: #{$mocha-surface0};\n    --color-placeholder-light: #{color.scale($mocha-surface2, $lightness: 5%)};\n    --color-placeholder-dark: #{$mocha-surface2};\n    --color-main-text: #{$mocha-text};\n    --color-text-maxcontrast: #{$mocha-subtext1};\n    --color-text-maxcontrast-default: #{color.scale($mocha-subtext0, $lightness: 5%)};\n    --color-text-maxcontrast-background-blur: #{$mocha-subtext0};\n    --color-text-light: #{var(--color-main-text)};\n    --color-text-lighter: #{var(--color-text-maxcontrast)};\n    --color-scrollbar: #{$mocha-mauve};\n    --color-error: #{$mocha-red};\n    --color-error-rgb: #{$mocha-red};\n    --color-error-hover: #{color.scale($mocha-red, $lightness: 5%)};\n    --color-error-text: #{color.scale($mocha-red, $lightness: -10%)};\n    --color-warning: #{$mocha-peach};\n    --color-warning-rgb: #{$mocha-peach};\n    --color-warning-hover: #{color.scale($mocha-peach, $lightness: 5%)};\n    --color-warning-text: #{color.scale($mocha-peach, $lightness: -10%)};\n    --color-success: #{$mocha-green};\n    --color-success-rgb: #{$mocha-green};\n    --color-success-hover: #{color.scale($mocha-green, $lightness: 5%)};\n    --color-success-text: #{color.scale($mocha-green, $lightness: -10%)};\n    --color-info: #{$mocha-blue};\n    --color-info-rgb: #{$mocha-blue};\n    --color-info-hover: #{color.scale($mocha-blue, $lightness: 5%)};\n    --color-info-text: #{color.scale($mocha-blue, $lightness: -10%)};\n    --color-loading-light: #{$mocha-overlay0};\n    --color-loading-dark: #{$mocha-subtext1};\n    --color-box-shadow-rgb: #{color.scale($mocha-crust, $lightness: 10%)};\n    --color-box-shadow: #{color.scale($mocha-crust, $lightness: 15%)};\n    --color-border: #{$mocha-crust};\n    --color-border-dark: #{color.scale($mocha-crust, $lightness: 5%)};\n    --color-border-maxcontrast: #{color.scale($mocha-crust, $lightness: -10%)};\n\n\n    --color-primary: #{$mocha-maroon};\n    --color-primary-default: #{$mocha-maroon};\n    --color-primary-text: #{$mocha-crust};\n    --color-primary-hover: #{color.scale($mocha-maroon, $lightness: -5%)};\n  \n    --color-primary-light: #{$mocha-green};\n    --color-primary-light-text: #{$mocha-crust};\n    --color-primary-light-hover: #{color.scale($mocha-green, $lightness: -5%)};\n  \n    --color-primary-element: #{$mocha-maroon};\n    --color-primary-element-hover: #{color.scale($mocha-maroon, $lightness: -5%)};\n    --color-primary-element-text: #{$mocha-crust};\n    --color-primary-element-text-dark: #{$mocha-mantle};\n  \n    --color-primary-element-light: #{$mocha-blue};\n    --color-primary-element-light-hover: #{color.scale($mocha-blue, $lightness: -5%)};\n    --color-primary-element-light-text: #{$mocha-crust};\n    --gradient-primary-background: linear-gradient(40deg, var(--color-primary) 0%, var(--color-primary-hover) 100%);\n    \n    //Unchanged\n    --font-face: system-ui, -apple-system, \"Segoe UI\", Roboto, Oxygen-Sans, Cantarell, Ubuntu, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n    --default-font-size: 15px;\n    --animation-quick: 100ms;\n    --animation-slow: 300ms;\n    --border-radius: 3px;\n    --border-radius-large: 10px;\n    --border-radius-rounded: 28px;\n    --border-radius-pill: 100px;\n    --default-clickable-area: 44px;\n    --default-line-height: 24px;\n    --default-grid-baseline: 4px;\n    --header-height: 50px;\n    --navigation-width: 300px;\n    --sidebar-min-width: 300px;\n    --sidebar-max-width: 500px;\n    --list-min-width: 200px;\n    --list-max-width: 300px;\n    --header-menu-item-height: 44px;\n    --header-menu-profile-item-height: 66px;\n    --breakpoint-mobile: 1024px;\n    --background-invert-if-dark: invert(100%);\n    --background-invert-if-bright: no;\n    --background-image-invert-if-bright: no;\n    --primary-invert-if-bright: no;\n    --primary-invert-if-dark: invert(100%);\n}\n[data-theme-light-highcontrast] {\n//+0.05,\n    --color-main-background: #{rgba($macchiato-base, 0.93)} ;\n    --color-main-background-rgb: #{$macchiato-base};\n    --color-main-background-translucent: #{rgba($macchiato-base, .97)};\n    --color-main-background-blur: #{rgba($macchiato-base, .8)};\n    --filter-background-blur: #{blur(25px)};\n    --gradient-main-background: var(--color-main-background) 0%, var(--color-main-background-translucent) 85%, transparent 100%;\n    --color-background-hover: #{$macchiato-surface1};\n    --color-background-dark:  #{color.scale($macchiato-surface0, $lightness: 5%)};\n    --color-background-darker: #{$macchiato-surface0};\n    --color-placeholder-light: #{color.scale($macchiato-surface2, $lightness: 5%)};\n    --color-placeholder-dark: #{$macchiato-surface2};\n    --color-main-text: #{$macchiato-text};\n    --color-text-maxcontrast: #{$macchiato-subtext1};\n    --color-text-maxcontrast-default: #{color.scale($macchiato-subtext0, $lightness: 5%)};\n    --color-text-maxcontrast-background-blur: #{$macchiato-subtext0};\n    --color-text-light: #{var(--color-main-text)};\n    --color-text-lighter: #{var(--color-text-maxcontrast)};\n    --color-scrollbar: #{$macchiato-mauve};\n    --color-error: #{$macchiato-red};\n    --color-error-rgb: #{$macchiato-red};\n    --color-error-hover: #{color.scale($macchiato-red, $lightness: 5%)};\n    --color-error-text: #{color.scale($macchiato-red, $lightness: -10%)};\n    --color-warning: #{$macchiato-peach};\n    --color-warning-rgb: #{$macchiato-peach};\n    --color-warning-hover: #{color.scale($macchiato-peach, $lightness: 5%)};\n    --color-warning-text: #{color.scale($macchiato-peach, $lightness: -10%)};\n    --color-success: #{$macchiato-green};\n    --color-success-rgb: #{$macchiato-green};\n    --color-success-hover: #{color.scale($macchiato-green, $lightness: 5%)};\n    --color-success-text: #{color.scale($macchiato-green, $lightness: -10%)};\n    --color-info: #{$macchiato-blue};\n    --color-info-rgb: #{$macchiato-blue};\n    --color-info-hover: #{color.scale($macchiato-blue, $lightness: 5%)};\n    --color-info-text: #{color.scale($macchiato-blue, $lightness: -10%)};\n    --color-loading-light: #{$macchiato-overlay0};\n    --color-loading-dark: #{$macchiato-subtext1};\n    --color-box-shadow-rgb: #{color.scale($macchiato-crust, $lightness: 10%)};\n    --color-box-shadow: #{color.scale($macchiato-crust, $lightness: 15%)};\n    --color-border: #{$macchiato-crust};\n    --color-border-dark: #{color.scale($macchiato-crust, $lightness: 5%)};\n    --color-border-maxcontrast: #{color.scale($macchiato-crust, $lightness: -10%)};\n\n\n    --color-primary: #{$macchiato-maroon};\n    --color-primary-default: #{$macchiato-maroon};\n    --color-primary-text: #{$macchiato-crust};\n    --color-primary-hover: #{color.scale($macchiato-maroon, $lightness: -5%)};\n  \n    --color-primary-light: #{$macchiato-green};\n    --color-primary-light-text: #{$macchiato-crust};\n    --color-primary-light-hover: #{color.scale($macchiato-green, $lightness: -5%)};\n  \n    --color-primary-element: #{$macchiato-maroon};\n    --color-primary-element-hover: #{color.scale($macchiato-maroon, $lightness: -5%)};\n    --color-primary-element-text: #{$macchiato-crust};\n    --color-primary-element-text-dark: #{$macchiato-mantle};\n  \n    --color-primary-element-light: #{$macchiato-blue};\n    --color-primary-element-light-hover: #{color.scale($macchiato-blue, $lightness: -5%)};\n    --color-primary-element-light-text: #{$macchiato-crust};\n    --gradient-primary-background: linear-gradient(40deg, var(--color-primary) 0%, var(--color-primary-hover) 100%);\n    \n    //Unchanged\n    --font-face: system-ui, -apple-system, \"Segoe UI\", Roboto, Oxygen-Sans, Cantarell, Ubuntu, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n    --default-font-size: 15px;\n    --animation-quick: 100ms;\n    --animation-slow: 300ms;\n    --border-radius: 3px;\n    --border-radius-large: 10px;\n    --border-radius-rounded: 28px;\n    --border-radius-pill: 100px;\n    --default-clickable-area: 44px;\n    --default-line-height: 24px;\n    --default-grid-baseline: 4px;\n    --header-height: 50px;\n    --navigation-width: 300px;\n    --sidebar-min-width: 300px;\n    --sidebar-max-width: 500px;\n    --list-min-width: 200px;\n    --list-max-width: 300px;\n    --header-menu-item-height: 44px;\n    --header-menu-profile-item-height: 66px;\n    --breakpoint-mobile: 1024px;\n    --background-invert-if-dark: invert(100%);\n    --background-invert-if-bright: no;\n    --background-image-invert-if-bright: no;\n    --primary-invert-if-bright: no;\n    --primary-invert-if-dark: invert(100%);\n}\n\n/*Theme selection hide old description*/\n.theming__preview .checkbox-radio-switch__text,\n.theming__preview--light h3, .theming__preview--light p,\n.theming__preview--dark h3, .theming__preview--dark p,\n.theming__preview--light-highcontrast h3, .theming__preview--light-highcontrast p,\n.theming__preview--dark-highcontrast h3, .theming__preview--dark-highcontrast p {\nvisibility: hidden;\n}\n\n//Replace old radio btn. lable\n.theming__preview .checkbox-radio-switch__text::before {\nvisibility: visible;\ncontent: \"Enable this theme\";\n}\n\n//Show new theme description\n.theming__preview--light h3::before {\ncontent: \"Latte theme\";\nvisibility: visible;\n}\n.theming__preview--light p::before {\ncontent: \"The catppuccino light theme\";\nvisibility: visible;\n}\n.theming__preview--light .theming__preview-image,\n.theming__preview--dark .theming__preview-image,\n.theming__preview--light-highcontrast .theming__preview-image,\n.theming__preview--dark-highcontrast .theming__preview-image {\n//background-image: TODO; !important;\ndisplay: none;\n}\n\n//Show new theme description\n.theming__preview--dark h3::before {\ncontent: \"Frappe Theme\";\nvisibility: visible;\n}\n.theming__preview--dark p::before {\ncontent: \"The milde and cozy catppuccino dark theme\";\nvisibility: visible;\n}\n\n//Show new theme description\n.theming__preview--light-highcontrast h3::before {\ncontent: \"Macchiato Theme\";\nvisibility: visible;\n}\n.theming__preview--light-highcontrast p::before {\ncontent: \"Catpuccinos perfect mix between Mocha and Frappe\";\nvisibility: visible;\n}\n\n//Show new theme description\n.theming__preview--dark-highcontrast h3::before {\ncontent: \"Mocha Theme\";\nvisibility: visible;\n}\n.theming__preview--dark-highcontrast p::before {\ncontent: \"Catppuccinos dark theme withe bright colors\";\nvisibility: visible;\n}\n\n\n/*Setting left nav Pannel to be transparent without blur*/\n.app-navigation {\nbackground-color: var(--color-main-background) !important;\nbackdrop-filter: None !important;\n}\n\n/*Setting markdown editor link color to primary light*/\n.paragraph-content a {\ncolor: var(--color-primary-element-light) !important; \n}\n\n/*Fixing Dashboards toggel item widget visibility (e.g. weather)*/\n.action-item__menutoggle{\nbackground-color: var(--color-primary-element-light) !important;\n}\n/*Fixing Dashboard Welcome msg visibility*/\n.app-dashboard h2:nth-child(1) {\ncolor: var(--color-main-text) !important;\n}\n\n/*Fixing Mail sidebar 1 text visibility when selected*/\n.app-navigation-entry.active a{\ncolor: var(--color-primary-element-text) !important;\n}\n/*Fixing Mail sidebar 2 text visibility when selected*/\n.list-item__wrapper.list-item__wrapper--active .list-item-content__main span,\n.list-item__wrapper.list-item__wrapper--active .list-item-content__main span .envelope__preview-text{\ncolor: var(--color-primary-element-text) !important;\n}\n\n/*Fixing visibility of left header label and right header icons*/\n.header-right .header-menu button,\n.headeu-main li .app-menu-entry--label{\ncolor: var(--color-main-text) !important;\n}\nr-right .header-menu .unified-search__button[data-v-3883344d],\n.app-men\n```\n\n---\n\n```\n/*Fixing share link folder icon*/\n.files-public-content .thumbnail\n{\n  filter: brightness(0) saturate(100%) invert(93%) sepia(17%) saturate(7243%) hue-rotate(295deg) brightness(97%) contrast(89%);\n}\n\n.files-public-content .files-fileList .date {\ncolor: var(--color-main-text) !important;\n}\n```",536870919]],["^15",[279,"^O","^16",536870919]],["^15",[279,"^F",292,536870919]],["^15",[279,"^X",259,536870919]],["^15",[279,"^V",259,536870919]],["^15",[279,"^U",259,536870919]],["^15",[279,"^?",["^ ","^1;",3],536870919]],["^15",[279,"^J",[],536870919]],["^15",[279,"^;","~u686c5fe9-6d13-4b0c-8391-b3b5c052c4f2",536870919]],["^15",[280,"^Q","**Slides:**\nbackground-color:: green",536870919]],["^15",[280,"^O","^16",536870919]],["^15",[280,"^F",263,536870919]],["^15",[280,"^X",259,536870919]],["^15",[280,"^V",264,536870919]],["^15",[280,"^U",259,536870919]],["^15",[280,"^?",["^ ","^1=","green"],536870919]],["^15",[280,"^J",["^1="],536870919]],["^15",[280,"^4",["^ ","^1=","green"],536870919]],["^15",[280,"^;","~u686c5fe9-c046-40c7-a9a0-76fe78867749",536870919]],["^15",[281,"^Q","Additional Tags: #Nextcloud #Onlyoffice",536870919]],["^15",[281,"^O","^16",536870919]],["^15",[281,"^F",264,536870919]],["^15",[281,"^X",259,536870919]],["^15",[281,"^V",264,536870919]],["^15",[281,"^U",259,536870919]],["^15",[281,"^U",260,536870919]],["^15",[281,"^U",261,536870919]],["^15",[281,"^H",260,536870919]],["^15",[281,"^H",261,536870919]],["^15",[281,"^;","~u686c5fe9-4873-477b-ab91-482c5b43e477",536870919]],["^15",[282,"^Q","[[Server/Nextcloud Notes/test]]",536870919]],["^15",[282,"^O","^16",536870919]],["^15",[282,"^F",278,536870919]],["^15",[282,"^X",259,536870919]],["^15",[282,"^V",259,536870919]],["^15",[282,"^U",245,536870919]],["^15",[282,"^U",259,536870919]],["^15",[282,"^U",262,536870919]],["^15",[282,"^H",245,536870919]],["^15",[282,"^H",259,536870919]],["^15",[282,"^H",262,536870919]],["^15",[282,"^;","~u686c5fe9-ebe3-4827-951f-e60ce89bde72",536870919]],["^15",[283,"^Q","#### President data in NSF",536870919]],["^15",[283,"^O","^16",536870919]],["^15",[283,"^F",272,536870919]],["^15",[283,"^X",259,536870919]],["^15",[283,"^V",259,536870919]],["^15",[283,"^U",259,536870919]],["^15",[283,"^?",["^ ","^1;",4],536870919]],["^15",[283,"^J",[],536870919]],["^15",[283,"^;","~u686c5fe9-cd0c-4c7a-804f-308dd3e7bc53",536870919]],["^15",[284,"^Q","in /etc/nginx/includes/ds-docservice.conf rem out the first line then add:",536870919]],["^15",[284,"^O","^16",536870919]],["^15",[284,"^F",290,536870919]],["^15",[284,"^X",259,536870919]],["^15",[284,"^V",290,536870919]],["^15",[284,"^U",259,536870919]],["^15",[284,"^;","~u686c5fe9-1b8c-4d76-afaf-e6c8ef7b2645",536870919]],["^15",[285,"^Q","/5 \\* \\* \\* \\* docker exec -u www-data nextcloud-app-1 php --define memory_limit=2048M /var/www/html/cron.php",536870919]],["^15",[285,"^O","^16",536870919]],["^15",[285,"^F",266,536870919]],["^15",[285,"^X",259,536870919]],["^15",[285,"^V",287,536870919]],["^15",[285,"^U",259,536870919]],["^15",[285,"^;","~u686c5fe9-82db-4eb0-9d1c-6507f9fd551e",536870919]],["^15",[286,"^Q","You get a \" 404 Not Found\". Editing docs from onlyoffice still works.  This change will survive updates if you keep the same  ds-docservice.conf. I don’t use docker but this file is never touched  during “apt” upgrades.",536870919]],["^15",[286,"^O","^16",536870919]],["^15",[286,"^F",269,536870919]],["^15",[286,"^X",259,536870919]],["^15",[286,"^V",290,536870919]],["^15",[286,"^U",259,536870919]],["^15",[286,"^;","~u686c5fe9-b3d2-4748-a17a-eb2cb15369ab",536870919]],["^15",[287,"^Q","### Crontabs",536870919]],["^15",[287,"^O","^16",536870919]],["^15",[287,"^F",265,536870919]],["^15",[287,"^X",259,536870919]],["^15",[287,"^V",259,536870919]],["^15",[287,"^U",259,536870919]],["^15",[287,"^?",["^ ","^1;",3],536870919]],["^15",[287,"^J",[],536870919]],["^15",[287,"^;","~u686c5fe9-09dc-4996-b8eb-c59dd050448e",536870919]],["^15",[288,"^Q","from https://help.nextcloud.com/t/nextcloud-docker-compose-with-ffmpeg-example/143964/2###",536870919]],["^15",[288,"^O","^16",536870919]],["^15",[288,"^F",275,536870919]],["^15",[288,"^X",259,536870919]],["^15",[288,"^V",292,536870919]],["^15",[288,"^U",259,536870919]],["^15",[288,"^;","~u686c5fe9-f4c3-46fb-8ee7-1676df79248a",536870919]],["^15",[289,"^Q","{{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Server/Nextcloud Notes]]) (namespace [[Server/Nextcloud Notes]])))}}\nquery-sort-by:: block\nquery-table:: true\nquery-sort-desc:: false",536870919]],["^15",[289,"^O","^16",536870919]],["^15",[289,"^F",263,536870919]],["^15",[289,"^S",293,536870919]],["^15",[289,"^X",259,536870919]],["^15",[289,"^V",263,536870919]],["^15",[289,"^U",259,536870919]],["^15",[289,"^?",["^ ","^1?","block","^1>",true,"^1@",false],536870919]],["^15",[289,"^J",["^1?","^1>","^1@"],536870919]],["^15",[289,"^4",["^ ","^1?","block","^1>","true","^1@","false"],536870919]],["^15",[289,"^;","~u686c5fe9-5298-4297-b91e-71239d0eddc7",536870919]],["^15",[290,"^Q","### OnlyOffice hide welcome Page",536870919]],["^15",[290,"^O","^16",536870919]],["^15",[290,"^F",273,536870919]],["^15",[290,"^X",259,536870919]],["^15",[290,"^V",283,536870919]],["^15",[290,"^U",259,536870919]],["^15",[290,"^?",["^ ","^1;",3],536870919]],["^15",[290,"^J",[],536870919]],["^15",[290,"^;","~u686c5fe9-804c-4847-8252-2d3efce073c5",536870919]],["^15",[291,"^Q","",536870919]],["^15",[291,"^O","^16",536870919]],["^15",[291,"^F",271,536870919]],["^15",[291,"^X",259,536870919]],["^15",[291,"^V",271,536870919]],["^15",[291,"^U",259,536870919]],["^15",[291,"^;","~u686c5fe9-0e3e-4ab0-af62-d8a4ad52ea05",536870919]],["^15",[292,"^Q","### Installing ffmpeg for Video Preview",536870919]],["^15",[292,"^O","^16",536870919]],["^15",[292,"^F",270,536870919]],["^15",[292,"^X",259,536870919]],["^15",[292,"^V",259,536870919]],["^15",[292,"^U",259,536870919]],["^15",[292,"^?",["^ ","^1;",3],536870919]],["^15",[292,"^J",[],536870919]],["^15",[292,"^;","~u686c5fe9-e788-45f7-808b-d3d614940947",536870919]],["^15",[293,"^?",["^ ","~:logseq.macro-name","query","~:logseq.macro-arguments",["(and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Server/Nextcloud Notes]]) (namespace [[Server/Nextcloud Notes]])))"]],536870919]],["^15",[293,"^W","macro",536870919]],["^15",[293,"^T","query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Server/Nextcloud Notes]]) (namespace [[Server/Nextcloud Notes]])))",536870919]],["^15",[294,"^?",["^ ","^1A","query","^1B",["(and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Server/Nextcloud Notes]]) (namespace [[Server/Nextcloud Notes]])))"]],536870919]],["^15",[294,"^W","macro",536870919]],["^15",[294,"^T","query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Server/Nextcloud Notes]]) (namespace [[Server/Nextcloud Notes]])))",536870919]],["^15",[295,"^3","## Meta\n\t- Additional Tags:\n\t- Additional References:\n\t- **Notes:**\n\t  background-color:: red\n\t\t- {{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Server/Steamdeck Local Ai]]) (namespace [[Server/Steamdeck Local Ai]])))}}\n\t\t  query-sort-by:: block\n\t\t  query-table:: true\n\t\t  query-sort-desc:: false\n\t- **Slides:**\n\t  background-color:: green\n\t\t- {{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Server/Steamdeck Local Ai]]) (namespace [[Server/Steamdeck Local Ai]])))}}\n\t\t  query-table:: true\n\t- **Summery**:\n\t  background-color:: blue\n\t\t- A Guide on how to setup a Local API using #localai\n- ---\n- ## Setup Steps #Slide\n\t- `sudo steamos-readonly disable`\n\t- Activate #SSH\n\t\t- `passwd` _sets password for user deck_\n\t\t- `sudo systemctl start sshd`\n\t- Initialize #packman\n\t\t- `sudo pacman-key --init`\n\t\t- `sudo pacman-key --populate archlinux`\n\t\t- `sudo pacman-key --populate holo` _steamos reposetory_\n\t\t- `sudo pacman -Syu`\n\t\t- Or Alternatively: `sudo pacman -Sy archlinux-keyring`\n\t- `sudo pacman -S podman` _install containerisation Environment_ (#podman)\n\t\t- `sudo sh -c 'echo \"unqualified-search-registries = [\\\"docker.io\\\"]\" >> /etc/containers/registries.conf'` add docker hub\n\t- Manual install #localai:\n\t\t- ```\n\t\t  podman run -ti --name ubuntu-ai \\\n\t\t    --entrypoint /bin/bash \\\n\t\t    -p 9000:8080 \\\n\t\t    --device=/dev/kfd \\\n\t\t    --device=/dev/dri \\\n\t\t    --group-add=video \\\n\t\t    ubuntu:24.04\n\t\t  \n\t\t  # Inside the container:\n\t\t  apt update\n\t\t  apt install -y build-essential libnuma-dev curl libcurl4-openssl-dev cmake git\n\t\t  \n\t\t  wget https://repo.radeon.com/amdgpu-install/latest/ubuntu/noble/amdgpu-install_6.4.60401-1_all.deb\n\t\t  apt install -y ./amdgpu-install_6.4.60401-1_all.deb\n\t\t  \n\t\t  apt update\n\t\t  amdgpu-install --usecase=rocm,hip --no-dkms\n\t\t  \n\t\t  wget https://localai.io/install.sh\n\t\t  bash install.sh\n\t\t  \n\t\t  echo 'HSA_OVERRIDE_GFX_VERSION=10.3.0' >> /etc/localai.env\n\t\t  echo 'PATH=$PATH:/opt/rocm/bin:/opt/rocm/rocprofiler/bin:/opt/rocm/opencl/bin' >> /etc/localai.env\n\t\t  echo 'GGML_CUDA_ENABLE_UNIFIED_MEMORY=1' >> /etc/localai.env\n\t\t  ```\n\t\t- Buildin #llama manualy\n\t\t\t- `HIPCXX=\"$(hipconfig -l)/clang\" GGML_CUDA_ENABLE_UNIFIED_MEMORY=1  HIP_PATH=\"$(hipconfig -R)\"     cmake -S . -B build -DGGML_HIP=ON -DAMDGPU_TARGETS=gfx1030 -DCMAKE_BUILD_TYPE=Release     && cmake --build build --config Release -- -j 16`\n\t\t\t- `sudo cmake --install build`\n\t\t\t- `build/bin/libllama.so /usr/local/lib/`\n\t\t\t- `ldconfig`\n\t\t\t-\n- ### Soures #Note\n\t- https://steamcommunity.com/app/1675200/discussions/0/595134792309237790/\n\t- https://www.reddit.com/r/SteamDeck/comments/18bf9op/i_ran_llms_on_steam_decks_gpu_tutorial_in_comments/\n\t- https://localai.io/basics/getting_started/\n-",536872325]],["^15",[295,"^17",1751932905416,536870919]],["^15",[295,"^18","~m1752093068952",536872324]],["^15",[295,"^Z","pages/Server___Steamdeck Local Ai.md",536870919]],["^15",[296,"^K",1751932905415,536870919]],["^15",[296,"^[",295,536870919]],["^15",[296,"^@",false,536870919]],["^15",[296,"^Y","server/steamdeck local ai",536870919]],["^15",[296,"^A",245,536870919]],["^15",[296,"^11","Server/Steamdeck Local Ai",536870919]],["^15",[296,"^B",1752093068724,536872322]],["^15",[296,"^;","~u686c5fe9-2089-4ebe-883b-02f90ad9fd35",536870919]],["^15",[297,"^K",1751932905416,536870919]],["^15",[297,"^O","^16",536871416]],["^15",[297,"^@",false,536870919]],["^15",[297,"^Y","localai",536870919]],["^15",[297,"^11","localai",536870919]],["^15",[297,"^B",1751932905416,536870919]],["^15",[297,"^;","~u686c5fe9-aa1b-4a67-81de-740062b48a1a",536870919]],["^15",[298,"^K",1751932905440,536870919]],["^15",[298,"^O","^16",536871569]],["^15",[298,"^@",false,536870919]],["^15",[298,"^Y","slide",536870919]],["^15",[298,"^11","Slide",536870919]],["^15",[298,"^B",1751932905440,536870919]],["^15",[298,"^;","~u687e222e-a141-4c71-9641-ba93631c8d52",536878647]],["^15",[299,"^Q","{{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Server/Steamdeck Local Ai]]) (namespace [[Server/Steamdeck Local Ai]])))}}\nquery-table:: true",536870919]],["^15",[299,"^O","^16",536870919]],["^15",[299,"^F",313,536870919]],["^15",[299,"^S",318,536870919]],["^15",[299,"^X",296,536870919]],["^15",[299,"^V",313,536870919]],["^15",[299,"^U",296,536870919]],["^15",[299,"^?",["^ ","^1>",true],536870919]],["^15",[299,"^J",["^1>"],536870919]],["^15",[299,"^4",["^ ","^1>","true"],536870919]],["^15",[299,"^;","~u686c5fe9-2f81-466a-9897-26e836725cf6",536870919]],["^15",[301,"^Q","## Meta",536870919]],["^15",[301,"^O","^16",536870919]],["^15",[301,"^F",296,536870919]],["^15",[301,"^X",296,536870919]],["^15",[301,"^V",296,536870919]],["^15",[301,"^U",296,536870919]],["^15",[301,"^?",["^ ","^1;",2],536870919]],["^15",[301,"^J",[],536870919]],["^15",[301,"^;","~u686c5fe9-9632-4f40-960b-b62e63ce27e0",536870919]],["^15",[302,"^Q","Additional References:",536870919]],["^15",[302,"^O","^16",536870919]],["^15",[302,"^F",307,536870919]],["^15",[302,"^X",296,536870919]],["^15",[302,"^V",301,536870919]],["^15",[302,"^U",296,536870919]],["^15",[302,"^;","~u686c5fe9-db80-4e70-b4c6-9fbe3e5f6d66",536870919]],["^15",[303,"^Q","**Notes:**\nbackground-color:: red",536870919]],["^15",[303,"^O","^16",536870919]],["^15",[303,"^F",302,536870919]],["^15",[303,"^X",296,536870919]],["^15",[303,"^V",301,536870919]],["^15",[303,"^U",296,536870919]],["^15",[303,"^?",["^ ","^1=","red"],536870919]],["^15",[303,"^J",["^1="],536870919]],["^15",[303,"^4",["^ ","^1=","red"],536870919]],["^15",[303,"^;","~u686c5fe9-1a9f-4956-8902-bcbc895537eb",536870919]],["^15",[304,"^Q","{{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Server/Steamdeck Local Ai]]) (namespace [[Server/Steamdeck Local Ai]])))}}\nquery-sort-by:: block\nquery-table:: true\nquery-sort-desc:: 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Plenas zur Positionierung der Solid Bremen im Bezug auf die Verwendung von AI\n- ---\n- # Plena Struktur\n\t- ### Themen\n\t  id:: 686bc829-5abe-416d-adfc-ccfe23640c6d\n\t\t- Deffinition: Ai, GAN, DeepLearning (unterscheide zu herkömmlichen Algorithmen)\n\t\t\t- [[Ai Funktionsweise der Kreativitaet #Note]]\n\t\t- Kann Ki Kust/Kreativität\n\t\t\t- [[Ai Kreativitaet #Note]]\n\t\t\t- ((686c5031-ec23-4ed2-8508-c1afea36a627))\n\t\t- Auswirkung der Verwendung (Datensammlung etc.)\n\t\t\t- [[Das Problem des Datensatzes #Note]]\n\t\t- Missbrauch von AI (Überwachung durch Staartsgewalt, Rassismus durch AI, Deepfakes)\n\t\t- Urheberrecht (Auswirkung für Kunstschaffende)\n\t\t\t- [[Ai Autorenschaft #Note]]\n\t\t\t- [[Urheberrecht #Note]]\n\t\t- Ethische Alternativen (lokale & quelloffene Modelle)\n\t- ### Ablauf\n\t\t- Kurze Einfuehrung:\n\t\t  logseq.order-list-type:: number\n\t\t\t- Zielsetzung des Plenas\n\t\t\t  logseq.order-list-type:: number\n\t\t\t- Was ist AI?\n\t\t\t  logseq.order-list-type:: number\n\t\t- Gruppenarbeit, ausarbeitung der ((686bc829-5abe-416d-adfc-ccfe23640c6d)), Zusammenfassen\n\t\t  logseq.order-list-type:: number\n\t\t- Vorstellung der Zusammenfassungen\n\t\t  logseq.order-list-type:: number\n\t\t- Diskursion der Leitfrage: \"Wie gehn wollen wir mit AI, sowohl intern als auch bei der Öffentlichkeitsarbeit um?\"\n\t\t  logseq.order-list-type:: number\n-\n- ---\n- TODO #Slide Maschinelle Kreativität?\n  id:: 686c5031-ec23-4ed2-8508-c1afea36a627\n  collapsed:: true\n\t-\n\t- ### Kreatitaet und Kunst\n\t\t- Zunächst lass uns dem Prozess der Kreativität definieren, als eine bewusste oder unterbewusste Weiterverwendung und Verarbeitung von jeglicher Art Erfahrungen (sein es gesehene Bilder oder verstandene Abstrakte Sachverhalte), die am Ende etwas mehr, oder weniger neues erschafft.\n\t\t- Dabei wirken sich beim menschlichen Erschaffungsprozess Emotionen, welche mit den Erfahrungen Assoziiert werden wie auch jene die wir aktuell fühlen, mit als Variablen auf das Endergebnis aus. AI-Modelle hingegen arbeiten \"algorithmisch\" das heiß: Als Prozess der bei gleichen Eingabewerten immer auch die gleichen Ausgabewerte liefert. Die Zufälligkeit die in der menschlichen Kreativität liegt muss also Indirekt, eingebracht werden indem eine Vielzahl an Eingabeparametern wahllos zugeordnet werden um eine  Scheinheiligkeit zu erzeugen.\n\t\t- Als gossen Teil der Kreativität wurde dem re-interpretieren und kombinieren von erfahrenen zugeschrieben. Betrachtet man, nun ein Bild generierendes GAN-Modell, welche zuvor mit Millionen an kategorisierten Bildern und eingeordneten Daten trainiert wurde fällt auf, das eben jener Trainingsprozess, dem künstlichen Modell lediglich die selben Möglichkeiten gibt, wie der Mensch sie durch das bloße leben hat: Die Sammlung Referenzdate, Erfahrungen. Ebenso ist das maschinelle Generieren eines neuen Bildes lediglich das Transformieren und Zusammenfügen von Eigenschaften wie sie in den Trainingsdaten vorlagen.\n\t\t- Stimmt man mit diesen Punkten überein, so kann durchaus bereits von maschineller Kreativität gesprochen werden. \n\t\t  Interessant ist nun welchem Wert man den beschriebenen Subjektiven Einflüssen auf den Erstellungsprozess wie zum Beispiel den Emotionen zuweist, welche ein Ai-Modell bestenfalls durch wiederkehrende Muster im Trainingsdatensatz zufälligerweise Imitieren kann\n\t\t- Ein angelerntes Modell kann zwar das Konzept von Emotionen ebenso wie das aussehen einer Katze beigebracht bekommen und entsprechende emotionale Reaktionen aus dem training kopieren, jedoch nie selbst fühlen. Eben so wenig ist es in der Lage sich eigenständig über das Niveau des Datensatzes mit dem es trainiert wurde zu verbessern, so mag es die Charakteristiken vom Minimalismus kennen, jedoch nicht in der Lage sein ein Dreieck mit einem Sechseck auszutatschen sollte es nie mit einem Sechseck trainiert worden sein.\n\t\t  So differenziert sich der Mensch von dem AI-Modell in einem weitern Punkt: Der Fahrigkeit des Kritischen Beurteilers und der Reflektion für Änderungen und Verbesserungen bei dem eigenen Kreationsprozess anzustreben.\n\t- **Leitfragen**\n\t\t- Stimmt ihr mit der Definition von Kreativität überein?\n\t\t- Sollten wir nur \"kreative\" Kunst verwenden?\n\t\t\t- wo ist die Grenze?\n\t\t\t- Was ist mit emulative Kunst wie Morphing oder Remixen? Wo der Mensch selbst nur das tut was eine AI uebrall macht\n\t\t- _Provokante Bonusfrage:_ Ist ein Werk menschlichen Ursprungs mehr Wert, weil es Menschlichen Ursprungs ist: Sollten wir Maschinen diskriminieren\n\t-\n- TODO #Slide AI Autorenschaft\n  collapsed:: true\n\t- Betrachtet man das Problem des Urheberrechts im Bezug auf Kuenstliche Inteltgenz muss zwischen zwei verschiedenen bereichen unterschieden werden;\n\t\t- Welches Material darf, wie, zum Trainieren eines AI Modells genutzt werden?\n\t\t  logseq.order-list-type:: number\n\t\t\t-\n\t\t- Wer ist der Autor von einem AI generierten Produkt?\n\t\t  logseq.order-list-type:: number\n\t- **Leitfragen**:\n\t\t-\n\t- Auswirkung auf die 'klassische' Kunst-comunity und Autor*in\n\t\t- Für viele Kunstschaffenden sorgt ein sicheres Urheberrecht für die Wertschätzung die sie verdienen, auch durch entsprechende Entlohnung sollten dritte durch die Verwendung ihres Werkes profitieren. Dies schafft überhaupt erst den Anreiz das Werk zu erschaffen, über die lose Idee hinaus zu gehen. Obgleich man großen Unternehmen wie Nintendo, Niantic oder Disney einen fragwürdigen Umgang bis zum missbrauch des Urheberrechts u.a. durch das verhindern von Comunity geführten Projekten vorwerfen kann (und sollte), muss die Sinnhaftigkeit des Urheberrechts für allein agierende Personen bedacht bleiben. Um ihnen ein Überleben im aktuellen Wirtschaftssystem zu ermöglichen.\n\t\t  Daher sollte es kritisch betrachtet werden, wenn AI die zunehmende Nichtigkeit des digitalen Besitztumes weiter vorantreibt, indem sie in der Lage ist ganze Style einzelner Künstler nach zu ahmen und das in einer weise tut, die anders als bei der Appropriations Kunst nicht den Kopiervorgang selbst in den Mittelpunkt stellt sondern das Endergebnis.\n\t\t- Zudem ist zu bedenken das der neo-liberale Kapitalismus, was besonders deutlich wird betrachtet man die Großunternehmen der Gaming-Industrie, ganz nach Wirtschaftlichen Prinzip, möglichst viel Kunst, natürlich (zumindest scheinbar) originell, in einer möglichst kurzen Zeit produziert sehen möchten: der Gewinnmaximierung wegen. Dies übt zusätzlich immensen druck auf Künstler, auch im free-lancing bereich, aus welche nun mit einer Technologie in Konkurrenz stehen gegen die sie quantitative und fortschreitend auch qualitative immer weniger Chanen haben. \n\t\t  Die Geschwindigkeit dieser Entwicklung ist eminent, bedenkt mann das Spotify Ai generierte Cover und Songs in playlists und (durch externe Fehler) sogar Profile der Künstler\\*inen einbindet, durch deren Abspielen jedoch kein menschliche\\*r Künstler\\*in vergütet wird. Als weiters Bespiel: Stand Juli 2025 nutzen bereits über 7% aller auf Steam verfügbaren Spiele in irgend einer weise AI generierten Content.\n\t\t- Da der erfolg, die Sinnhaftigkeit und überhaupt das Bestreben nach einem Verwendungsverbote von Ai in der Unterhaltungsindustrie fragwürdig ist muss nach Alternativen gesucht werden:\n\t\t- Ein Idee die Vergütung von Kunstschaffenden längerfristig zu sichern zeigt das Open Access movement auf. Bereits in der Forschung und Wissenschaft immer Beliebter werdend, publizieren Autoren ihre werke unter einer Lizenz (häufig Creative Commons) welche freien Zugriff auf das Werk unter Einhaltung bestimmter Bedienungen gewährt. So wird die Anerkennung des Ursprünglichen Autors gesichert. Ähnliches gibt es auch im Bereich der Informatik bei OpenSource/Free Software. Größere Projekte finanzieren sich dort durch Spenden artige beigräte von Unternehmen, Staatlichen zuschüssen und Privatpersonen. Wobei es auch hier immer wider vorkommt, das selbst kritische Projekte und deren Entwickler viel zu wenig Finanzielle Unterstützung erhalten. So hat das NTP Project welches Zeitsynchronisierung auf den meisten Geräten ermöglicht im Juni lediglich \\$165/\\$1000 gespendet bekommen.\n\t\t- Eine echte und längerfristige Verbesserung für diese Zustände kann der Kapitalismus uns wahrscheinlich nicht bieten. Er ist nicht ausgelegt für Kollaboration, OpenAcess uvm.. Daher müssen wir bei der Nutzung von AI bedenken den Schaden für Kunstschaffende nicht noch zu erhöhen!\n\t\t- Andersherum muss auch bedachte werden das Ai wie auch die meisten zuvor kommenden Technologien die Menschen, gerade jene in ärmeren Gesellschaftsschichten, befähigt. Das Telefon ermöglichte eine schnelle Kommunikation, ohne einen Boten schicken zu müssen, das Internet ermöglichte den freien Zugang zu wissen über unzählige Teilgebiete und nun ermöglicht die AI Einzelpersonen von einer Spezialisierten, wenn auch imperfekte, zusätzlichen Arbeitskraft zu profitieren. und so schneller oder grösser Projekte zum Abschluss zu bringen.\n\t- Kooperation Mensch - Maschiene\n\t\t- Doch bedenken wir, das es durchaus verschiedene arten der Nutzung von Künstlicher Intelligenz in Kunstwerken, oder jeglichen weiteren Anwendungsgebieten gibt, welche differenziert betrachtet werden sollten:\n\t\t\t- Hat AI alleine das Endresultat generiert?\n\t\t\t\t- Wurde ein generell verwendbares, Multifunktionales Ai Modell verwendet?\n\t\t\t\t- Hat der Ersteller ein Modell extra dafür selbst Trainiert/ein bestehendes verändert?\n\t\t\t- Gab es eine ko-kreativitaet?\n\t\t\t\t- Hat der Ersteller immer wider gezielt Verankerungen am Produkt durchführen lassen um zum Endergebnis zu kommen?\n\t\t\t\t- Stärken die Einflüsse/der Bias der AI die Aussagekraft des Produktes? (Ähnlich wie die ko-kreativitaet zwischen Tier und mensch: läuft ein tire in einen Farbeimer und anschließend über ein Gemälde, so ist der Mensch Autor, doch das tier signifikanter Unterstützer)\n\t\t\t- Wurde AI lediglich als Werkzeug verwendet?\n\t\t\t\t- Spielte es eine vergleichbare rolle wie in Bildmanipulationsprogramm in der \"klassischen\" Digitalen Kunst?\n\t\t- Ethische Faktoren:\n\t\t\t- war das verwendete Modell Quelloffen (d.h. ist auch der Datensatz einsehbar)?\n\t\t\t- (ist überhaupt bekannt?) wie wurden die Trainingsdaten bezogen?\n\t- **Leitfrage**:\n\t\t- Ab wann rechtfertigt die schaden-nutzen Bilanz die verwendung der AI?\n\t\t\t- Welche Art an Modellen sind verwendbar?\n\t\t\t- Ausgleichsleistungen an Kunstschaffende denkbar?\n\t- Additional sources:\n\t\t- https://www.gamingonlinux.com/2023/11/gnome-gets-1m-funding-from-the-sovereign-tech-fund/\n\t\t- https://www.ntp.org/\n\t\t- https://www.tu.berlin/ub/forschen-publizieren/wissenswertes-fuer-autorinnen/rechtliche-fragen\n\t\t- https://open-access.network/en/information/subject-specific-open-access/arts\n\t\t- https://www.computerbase.de/news/gaming/rasantes-wachstum-fast-10-000-spiele-auf-steam-nutzen-ki-inhalte.93565/\n\t-\n-\n-",536882337]],["^15",[345,"^17",1751932905440,536870919]],["^15",[345,"^18","~m1754340771308",536882338]],["^15",[345,"^Z","pages/Soldi___Plenum___AI.md",536870919]],["^15",[346,"^K",1751932905440,536870919]],["^15",[346,"^[",345,536870919]],["^15",[346,"^@",false,536870919]],["^15",[346,"^Y","soldi/plenum/ai",536870919]],["^15",[346,"^A",330,536870919]],["^15",[346,"^11","Soldi/Plenum/AI",536870919]],["^15",[346,"^B",1754340770481,536882333]],["^15",[346,"^;","~u687e222e-b57a-49ff-9844-cde19587ebf4",536878647]],["^15",[347,"^Q","---",536870919]],["^15",[347,"^O","^16",536870919]],["^15",[347,"^F",365,536870919]],["^15",[347,"^X",346,536870919]],["^15",[347,"^V",346,536870919]],["^15",[347,"^U",346,536870919]],["^15",[347,"^;","~u686c5fe9-dc42-4b37-a4c6-70562a8b078b",536870919]],["^15",[348,"^Q","Deffinition: Ai, GAN, DeepLearning (unterscheide zu herkömmlichen 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B)))}}\n-\n- ## Subpages:\n  background-color:: purple\n\t- [[Soldi]]\n\t- [[Server]]\n\t- [[Other]]\n\t- [[Templates]]\n-\n- ## Most recent cahnges:\n  background-color:: green\n\t- query-sort-by:: updated-at\n\t  query-sort-desc:: true\n\t  #+BEGIN_QUERY\n\t  {\n\t    :title \"Edited Pages:\"\n\t    :query [:find (pull ?p [*])\n\t            :where\n\t            [?b :block/page ?p]          \n\t     ]\n\t    :result-transform (fn [result]\n\t                       (take 5 result))\n\t    :table-view? false\n\t  }\n\t  #+END_QUERY\n-",536871598]],["^15",[383,"^17",1751932905448,536870919]],["^15",[383,"^18","~m1752074585962",536871597]],["^15",[383,"^Z","pages/Startpage.md",536870919]],["^15",[384,"^K",1751932905447,536870919]],["^15",[384,"^[",383,536870919]],["^15",[384,"^@",false,536870919]],["^15",[384,"^Y","startpage",536870919]],["^15",[384,"^11","Startpage",536870919]],["^15",[384,"^B",1752074585482,536871595]],["^15",[384,"^;","~u686c5fe9-1894-4b7c-b14c-7a09fae4f70d",536870919]],["^15",[385,"^K",1751932905476,536870919]],["^15",[385,"^[",471,536870919]],["^15",[385,"^@",false,536870919]],["^15",[385,"^Y","scratchpad",536870919]],["^15",[385,"^11","scratchpad",536870919]],["^15",[385,"^B",1752409443713,536873192]],["^15",[385,"^;","~u686c5fe9-91c0-4267-9112-59d2898ed27f",536870919]],["^15",[386,"^K",1751932905474,536870919]],["^15",[386,"^[",410,536870919]],["^15",[386,"^O","^16",536870919]],["^15",[386,"^@",false,536870919]],["^15",[386,"^Y","templates",536870919]],["^15",[386,"^11","Templates",536870919]],["^15",[386,"^B",1751932905474,536870919]],["^15",[386,"^;","~u686c5fe9-accd-484f-8ec8-568feb492bc9",536870919]],["^15",[387,"^Q","[[Soldi]]",536870919]],["^15",[387,"^O","^16",536870919]],["^15",[387,"^F",394,536870919]],["^15",[387,"^X",384,536870919]],["^15",[387,"^V",394,536870919]],["^15",[387,"^U",320,536870919]],["^15",[387,"^U",384,536870919]],["^15",[387,"^H",320,536870919]],["^15",[387,"^;","~u686c5fe9-b823-4d22-b9e9-4c3de5f50a28",536870919]],["^15",[388,"^Q","Text:",536870919]],["^15",[388,"^O","^16",536870919]],["^15",[388,"^F",391,536870919]],["^15",[388,"^X",384,536870919]],["^15",[388,"^V",391,536870919]],["^15",[388,"^U",384,536870919]],["^15",[388,"^;","~u686c5fe9-eb83-437f-9a57-0477000235c3",536870919]],["^15",[389,"^Q","query-sort-by:: updated-at\nquery-sort-desc:: true\n#+BEGIN_QUERY\n{\n  :title \"Edited Pages:\"\n  :query [:find (pull ?p [*])\n          :where\n          [?b :block/page ?p]          \n   ]\n  :result-transform (fn [result]\n                     (take 5 result))\n  :table-view? false\n}\n#+END_QUERY",536870919]],["^15",[389,"^O","^16",536870919]],["^15",[389,"^F",404,536870919]],["^15",[389,"^X",384,536870919]],["^15",[389,"^V",404,536870919]],["^15",[389,"^U",384,536870919]],["^15",[389,"^?",["^ ","^1?","updated-at","^1@",true],536870919]],["^15",[389,"^J",["^1?","^1@"],536870919]],["^15",[389,"^4",["^ ","^1?","updated-at","^1@","true"],536870919]],["^15",[389,"^;","~u686c5fe9-91c4-4293-9641-8fda8625abe5",536870919]],["^15",[390,"^Q","{{query (and (task TODO IN-PROGRESS) (and (not (priority C)) (not (priority 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Most recent cahnges:\nbackground-color:: green",536870919]],["^15",[404,"^O","^16",536870919]],["^15",[404,"^F",406,536870919]],["^15",[404,"^X",384,536870919]],["^15",[404,"^V",384,536870919]],["^15",[404,"^U",384,536870919]],["^15",[404,"^?",["^ ","^1=","green","^1;",2],536870919]],["^15",[404,"^J",["^1="],536870919]],["^15",[404,"^4",["^ ","^1=","green"],536870919]],["^15",[404,"^;","~u686c5fe9-01e6-49f5-8593-69c182528e66",536870919]],["^15",[405,"^Q","#### Other",536870919]],["^15",[405,"^O","^16",536870919]],["^15",[405,"^F",393,536870919]],["^15",[405,"^X",384,536870919]],["^15",[405,"^V",396,536870919]],["^15",[405,"^U",384,536870919]],["^15",[405,"^?",["^ 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:block/name ?current-page]\n           [?b :block/page ?p]\n           [?b :block/refs ?tag]]\n   :inputs [:current-page]}\n   :result-transform (fn [result] (->> result (map first) distinct))\n   :view :table\n  }\n  ```",536870919]],["^15",[420,"^17",1751932905459,536870919]],["^15",[420,"^Z","pages/Templates___Notes.md",536870919]],["^15",[421,"^K",1751932905458,536870919]],["^15",[421,"^[",420,536870919]],["^15",[421,"^@",false,536870919]],["^15",[421,"^Y","templates/notes",536870919]],["^15",[421,"^A",386,536870919]],["^15",[421,"^11","Templates/Notes",536870919]],["^15",[421,"^B",1751932905458,536870919]],["^15",[421,"^;","~u686c5fe9-f00f-4020-a5c3-a39b692ad791",536870919]],["^15",[422,"^Q","**Slides:**\nbackground-color:: green",536870919]],["^15",[422,"^O","^16",536870919]],["^15",[422,"^F",432,536870919]],["^15",[422,"^X",421,536870919]],["^15",[422,"^V",434,536870919]],["^15",[422,"^U",421,536870919]],["^15",[422,"^?",["^ 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Tags:",536870919]],["^15",[468,"^O","^16",536870919]],["^15",[468,"^F",462,536870919]],["^15",[468,"^X",457,536870919]],["^15",[468,"^V",462,536870919]],["^15",[468,"^U",457,536870919]],["^15",[468,"^;","~u686c5fe9-3cf0-46da-a29f-e6adafe76090",536870919]],["^15",[469,"^Q","---",536870919]],["^15",[469,"^O","^16",536870919]],["^15",[469,"^F",462,536870919]],["^15",[469,"^X",457,536870919]],["^15",[469,"^V",463,536870919]],["^15",[469,"^U",457,536870919]],["^15",[469,"^;","~u686c5fe9-fc18-492b-8f6d-85f7a2550877",536870919]],["^15",[470,"^Q","",536870919]],["^15",[470,"^O","^16",536870919]],["^15",[470,"^F",467,536870919]],["^15",[470,"^X",457,536870919]],["^15",[470,"^V",457,536870919]],["^15",[470,"^U",457,536870919]],["^15",[470,"^;","~u686c5fe9-137b-4641-8fd5-df852e238e95",536870919]],["^15",[471,"^3","- ```\n  ```",536873194]],["^15",[471,"^17",1751932905476,536870919]],["^15",[471,"^18","~m1752409444605",536873193]],["^15",[471,"^Z","pages/scratchpad.md",536870919]],["^15",[472,"^Q","~```\n```",536873192]],["^15",[472,"^O","^16",536870919]],["^15",[472,"^F",385,536870919]],["^15",[472,"^X",385,536870919]],["^15",[472,"^V",385,536870919]],["^15",[472,"^U",385,536870919]],["^15",[472,"^?",["^ "],536873192]],["^15",[472,"^;","~u686c5fe9-8f04-4036-8753-56bc7c4c1d81",536870919]],["^15",[473,"^3","- This page is a collection of some of the Advanced queries from the [[Datalog]] channel on the [[Logseq/Discord]] server. #datalog\n  id:: 61db13f4-75e8-4f87-ad60-3ac3479c5fc8\n- ### Resources\n\t- [link: The first message on the datalog channel](https://discord.com/channels/725182569297215569/743139225746145311/743139795865174119)\n\t- [link: Logseq docs - Advanced queries](https://docs.logseq.com/#/page/advanced%20queries)\n\t- [link: Logseq datascript schema](https://gist.github.com/tiensonqin/9a40575827f8f63eec54432443ecb929)\n\t- [link: Logseq frontend db model](https://github.com/logseq/logseq/blob/master/src/main/frontend/db/model.cljs)\n\t- [link: How to Graph Your Data - talk by Paula Gearon](https://youtu.be/tbVwmFBnfo4)\n\t- [link: Domain modelling with datalog - talk by Norbert Wojtowicz](https://youtu.be/oo-7mN9WXTw)\n\t- [link: Athens Research ClojureFam](https://github.com/athensresearch/ClojureFam)\n\t- [link: Learn datalog today](http://www.learndatalogtoday.org)\n\t- [link: Uday Verma's Blog: Datascript 101](https://udayv.com/blog/2016-04-28-datascript101/)\n\t- [link: ClojureScript Cheatsheet](https://cljs.info/cheatsheet/)\n\t- [link: Hiccup syntax](https://github.com/weavejester/hiccup/wiki/Syntax)\n\t- [link: Logseq datascript](https://github.com/logseq/datascript/blob/fork/src/datascript/query.cljc)\n\t- [link: Advanced queries tutorial](https://mschmidtkorth.github.io/logseq-msk-docs/#/page/advanced%20queries%20tutorial)\n- ### Own Querys\n\t- **List all the pages updated in the last 3 days**\n\t\t- See also:\n\t\t\t- {{embed ((686c3af1-5149-453c-94b2-94028372c22b))}}\n\t\t- query-sort-by:: page\n\t\t  query-table:: true\n\t\t  query-sort-desc:: false\n\t\t  query-properties:: [:page :block]\n\t\t  #+BEGIN_QUERY\n\t\t  {:title [:h3 \"Updated in last 3 days\"]\n\t\t   :query [:find (pull ?page [*])\n\t\t  :in $ ?end\n\t\t  :where\n\t\t  [?b :block/updated-at ?v]\n\t\t  [(- ?end 259200000 ) ?period]\n\t\t  [(>= ?v ?period)]\n\t\t  [(< ?v ?end)]\n\t\t  [?page :block/page ?b]\n\t\t  ]\n\t\t  ; :inputs [:start-of-today-ms]\n\t\t  ; :inputs [:right-now-ms]\n\t\t  :inputs [:end-of-today-ms]\n\t\t  }\n\t\t  #+END_QUERY\n\t\t-\n-\n- ### Queries\n\t- **Query to search a textual input**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/821317203910721577)\n\t  date:: [[2021-03-16]]\n\t  collapsed:: true\n\t\t- collapsed:: true\n\t\t  #+BEGIN_QUERY\n\t\t  {:title \"Advanced query to search for the text 'Quantum mechanics'\"\n\t\t  :query\n\t\t   [:find (pull ?b [*])\n\t\t    :in $ ?pattern\n\t\t    :where\n\t\t    [?b :block/content ?c]\n\t\t    [(re-pattern ?pattern) ?q]\n\t\t    [(re-find ?q ?c)]]\n\t\t   :inputs [\"Quantum mechanics\"]\n\t\t   :collapsed? true}\n\t\t  #+END_QUERY\n\t\t- Equivalent to `{{query \"Quantum mechanics\"}}`\n\t- **Find all TODO tasks outside of the journal pages**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/824060683947737138)\n\t  date:: [[2021-03-24]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:title [:h2.font-bold.opacity-70 \"TODO\"]\n\t\t      :query [\n\t\t              :find (pull ?h [*])\n\t\t              :where\n\t\t                  [?h :block/marker ?marker]\n\t\t                  [(= ?marker \"TODO\")]\n\t\t              ]\n\t\t      :result-transform (fn [result]\n\t\t                          (sort-by (fn [h]\n\t\t                                     (get h :block/priority \"Z\")) result))\n\t\t      :collapsed? true}\n\t\t  #+END_QUERY\n\t- **All TODO blocks recursively related to a tag or page**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/825330146780381205)\n\t  date:: [[2021-03-27]]\n\t  collapsed:: true\n\t\t- How would you query for all TODO blocks that are tagged or recursively related to ancestor block/page that is tagged with a specific tag? For example, I want all TODO tasks that are tagged as clojure or contained under blocks or pages (in any indentation depth) that are tagged clojure. That way I can see all the clojure related articles I haven't read yet, without having to tag them all explicitly.\n\t\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/825074937651396678)\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"All TODO items related to the tag 'Cowling' \"\n\t\t  :query\n\t\t   [:find (pull ?b [*])\n\t\t    :where\n\t\t    [?b :block/marker \"TODO\"]\n\t\t    [?b :block/page ?p]\n\t\t    (or [?b :block/path-ref-pages [:page/name \"cowl\"]]\n\t\t        [?p :page/tags [:page/name \"cowl\"]])\n\t\t  ]\n\t\t   :collapsed? true}\n\t\t  #+END_QUERY\n\t- **Scheduled items and deadlines from the past week**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/827098887826964490)\n\t  date:: [[2021-04-01]]\n\t  collapsed:: true\n\t\t- Hey, I try to find Schedules or Due dates that are in-between specific dates, but whenever they contain a marker (TODO, NOW, ...) they should only show if that marker is not completed. Unfortunately, I'm not familiar with Datomic or Clojure at all..\n\t\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/826412758438248458)\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"🟠 SLIPPING deadlines (<1W)\"\n\t\t      :query [:find (pull ?block [*])\n\t\t              :in $ ?start ?today\n\t\t              :where\n\t\t              (or\n\t\t                [?block :block/scheduled ?d]\n\t\t                [?block :block/deadline ?d])\n\t\t              (not\n\t\t                [?block :block/marker ?marker] \n\t\t                (not [(contains? #{\"NOW\" \"LATER\" \"TODO\" \"DOING\"} ?marker)]))\n\t\t              [(>= ?d ?start)]\n\t\t              [(<= ?d ?today)]]\n\t\t      :inputs [:8d :today]\n\t\t      :collapsed? true}\n\t\t  #+END_QUERY\n\t- **Find all unlinked pages**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/832512082289229824)\n\t  date:: [[2021-04-16]]\n\t  collapsed:: true\n\t\t- query-table:: false\n\t\t  #+BEGIN_QUERY\n\t\t  {:title \"Orphan pages\"\n\t\t   :query [:find ?name\n\t\t           :where\n\t\t           [?p :page/name ?name]\n\t\t           (not\n\t\t            [?b :block/ref-pages ?p1]\n\t\t            [?b :block/page ?p2]\n\t\t            (or [?p1 :page/name ?name]\n\t\t                [?p2 :page/name ?name]))]\n\t\t   :view (fn [result]\n\t\t           [:div.flex.flex-col\n\t\t            (for [page result]\n\t\t              [:a {:href (str \"/page/\" page)} (clojure.string/capitalize page)])])\n\t\t  :collapsed? true}\n\t\t  #+END_QUERY\n\t- **List of currently DOING tasks**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/848575612385624074)\n\t  date:: [[2021-05-30]]\n\t  collapsed:: true\n\t  :LOGBOOK:\n\t  CLOCK: [2022-01-08 Sat 19:22:04]\n\t  CLOCK: [2022-01-08 Sat 19:22:07]\n\t  CLOCK: [2022-01-08 Sat 19:22:13]\n\t  CLOCK: [2022-01-08 Sat 19:22:14]\n\t  CLOCK: [2022-01-08 Sat 19:22:24]\n\t  CLOCK: [2022-01-08 Sat 19:22:26]\n\t  CLOCK: [2022-01-08 Sat 19:22:28]\n\t  CLOCK: [2022-01-08 Sat 19:22:31]\n\t  CLOCK: [2022-01-08 Sat 19:22:32]\n\t  CLOCK: [2022-01-08 Sat 19:22:42]\n\t  :END:\n\t\t- query-table:: false\n\t\t  collapsed:: true\n\t\t  #+BEGIN_QUERY\n\t\t  {:title \"🟢 DOING\"\n\t\t      :query [:find (pull ?b [*])\n\t\t          :where\n\t\t            [?b :block/marker ?marker]\n\t\t            [(contains? #{\"NOW\" \"DOING\"} ?marker)]]\n\t\t  :breadcrumb-show? false\n\t\t   :result-transform (fn [result]\n\t\t   \t\t(sort-by (fn [h]\n\t\t       \t(get h :block/priority \"Z\"))\n\t\t         result))\n\t\t      :collapsed? true}\n\t\t  #+END_QUERY\n\t- **Query to show random block**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/867362494871765002)\n\t  date:: [[2021-07-21]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"Give me a random block!!!\"\n\t\t   :query [:find (pull ?b [*])\n\t\t           :where\n\t\t           [?b :block/content ?content]\n\t\t           (not [(empty? ?content)])]\n\t\t   :result-transform (fn [result]\n\t\t                       [(rand-nth result)])\n\t\t   :collapsed? true}\n\t\t  #+END_QUERY\n\t- **Query to show a random page**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/867375290396311633)\n\t  date:: [[2021-07-21]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"Give me a random page!!!\"\n\t\t   :query [:find ?name\n\t\t           :where\n\t\t           [?b :block/name ?name]]\n\t\t   :result-transform (fn [result]\n\t\t                       [(rand-nth result)])\n\t\t  :view (fn [result]\n\t\t         [:div.flex.flex-col\n\t\t          (for [page result]\n\t\t            [:a {:href (str \"/#/page/\" page)} (clojure.string/capitalize page)])])\n\t\t   :collapsed? true}\n\t\t  #+END_QUERY\n\t- **Search by block uuid**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868359519678398504)\n\t  date:: [[2021-07-24]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:query [:find (pull ?b [*]) :in $ ?uuid\n\t\t        :where\n\t\t        [?b :block/uuid ?u]\n\t\t        [(str ?u) ?s]\n\t\t        [(= ?uuid ?s)]]\n\t\t   :inputs [\"61d9ce9c-0822-4c1d-a9f3-78537657155b\"]\n\t\t  }\n\t\t  #+END_QUERY\n\t- **Query backlog TODO and DOING tasks**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868476460061577227)\n\t  date:: [[2021-07-24]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY \n\t\t  {:title \"Backlog\"\n\t\t  :query [:find (pull ?todo [*]) :in $ ?current-page\n\t\t  :where\n\t\t  [?p :block/name ?current-page]\n\t\t  [?todo :block/marker ?marker]\n\t\t  (not [?todo :block/page ?p])\n\t\t  (not [_ :block/refs ?todo])\n\t\t  [(contains? #{\"TODO\" \"DOING\"} ?marker)]\n\t\t  ]\n\t\t  :inputs [:current-page]\n\t\t   :breadcrumb-show? false\n\t\t   :result-transform (fn [result]\n\t\t                          (sort-by (fn [h]\n\t\t                                     (get h :block/priority \"Z\")) result))\n\t\t   :collapsed? true}\n\t\t  #+END_QUERY\n\t- **Search for a keyword within a specific set of pages**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868531920923918356), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868600535694082049)\n\t  date:: [[2021-07-24]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"Siloed search\"\n\t\t   :query [:find (pull ?b [*])\n\t\t           :in $ ?keyword [?title ...]\n\t\t           :where\n\t\t           [?p :block/original-name ?title]\n\t\t           [?b :block/page ?p]\n\t\t           [?b :block/content ?c]\n\t\t           [(clojure.string/includes? ?c ?keyword)]]\n\t\t   :inputs [\"tasks\" [\"Advanced queries\" \"Advanced queries/Examples\"]]\n\t\t   }\n\t\t  #+END_QUERY\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"Siloed search\"\n\t\t   :query [:find (pull ?b [*])\n\t\t           :in $ ?keyword [?title ...]\n\t\t           :where\n\t\t           [(str \"(?i)\" ?keyword) ?matcher]\n\t\t           [(re-pattern ?matcher) ?regex]\n\t\t           [?p :block/original-name ?title]\n\t\t           [?b :block/page ?p]\n\t\t           [?b :block/content ?c]\n\t\t           [(re-find ?regex ?c)]]\n\t\t   :inputs [\"tasks\" [\"Advanced queries\" \"Advanced queries/Examples\"]]\n\t\t   }\n\t\t  #+END_QUERY\n\t- **Broken references**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/869291105911447653)\n\t  date:: [[2021-07-26]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY \n\t\t  {:title \"Broken References\"\n\t\t   :query [:find (pull ?b [*])\n\t\t           :in $ ?matcher\n\t\t           :where\n\t\t           [(re-pattern ?matcher) ?regex]\n\t\t           [?b :block/content ?c]\n\t\t           [(re-find ?regex ?c)]\n\t\t           [(missing? $ ?b :block/refs)]]\n\t\t   :inputs [ \"\\\\([0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}\\\\)\"]\n\t\t   }\n\t\t  #+END_QUERY\n\t- **Current NOW and DOING tasks for pages tagged with \"project\"**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/879621160860532766)\n\t  date:: [[2021-08-24]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"🔨 Project Now\"\n\t\t      :query [:find (pull ?h [*])\n\t\t          :in $ ?searchterm\n\t\t          :where\n\t\t          [?h :block/marker ?marker]\n\t\t          [(contains? #{\"NOW\" \"DOING\"} ?marker)]\n\t\t          [?p :block/properties ?a]\n\t\t          [(get ?a :type) ?t]\n\t\t          [(= ?searchterm ?t)]\n\t\t          [?br :block/name ?searchterm]\n\t\t          (or [?h :block/page ?p]\n\t\t              [?h :block/refs ?br])\n\t\t          ]\n\t\t      :inputs [\"project\"]\n\t\t      :result-transform (fn [result]\n\t\t          (sort-by (fn [h]\n\t\t              (get h :block/priority \"Z\")) result))\n\t\t      :collapsed? false}\n\t\t  #+END_QUERY\n\t- **Querying TODOs from hierarchy pages**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/880431776500179004)\n\t  date:: [[2021-08-06]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:query [:find (pull ?b [*])\n\t\t           :in $ ?s\n\t\t           :where\n\t\t           [?b :block/marker \"DONE\"]\n\t\t           [?b :block/page ?p]\n\t\t           [?p :block/original-name ?n]\n\t\t           [(clojure.string/starts-with? ?n ?s)]]\n\t\t   :inputs [ \"Advanced queries/\" ]\n\t\t   }\n\t\t  #+END_QUERY\n\t\t- DONE Completed this query\n\t- **List all the pages updated in the last 3 days**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/884486589827395724),  [Discord](https://discord.com/channels/725182569297215569/743139225746145311/885529176730398821)\n\t  date:: [[2021-09-06]], [[2021-09-09]]\n\t  id:: 686c3af1-5149-453c-94b2-94028372c22b\n\t  collapsed:: true\n\t\t- The time entered in the Unix time stamp (see https://www.unixtimestamp.com) which is the number of milliseconds since Jan 1st 1970.\n\t\t  query-properties:: [:page :updated-at]\n\t\t- We may have to multiply with 1000 to get the result in milliseconds, if using the above site.\n\t\t- query-sort-by:: updated-at\n\t\t  query-sort-desc:: true\n\t\t  query-properties:: [:page :updated-at]\n\t\t  query-table:: true\n\t\t  #+BEGIN_QUERY\n\t\t  {:title [:h3 \"Updated in last 3 days\"]\n\t\t   :query [:find (pull ?b [*])\n\t\t  :in $ ?end\n\t\t  :where\n\t\t  [?b :block/updated-at ?v]\n\t\t  [(- ?end 259200000 ) ?period]\n\t\t  [(>= ?v ?period)]\n\t\t  [(< ?v ?end)]\n\t\t  ]\n\t\t  ; :inputs [:start-of-today-ms]\n\t\t  ; :inputs [:right-now-ms]\n\t\t  :inputs [:end-of-today-ms]\n\t\t  }\n\t\t  #+END_QUERY\n\t-\n\t- **Query for TODO and LATER but excluding SCHEDULED tasks**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/888689090160103476)\n\t  date:: [[2021-09-18]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:query [:find (pull ?b [*])\n\t\t   :where\n\t\t   [?b :block/marker ?m]\n\t\t   [(contains? #{\"TODO\" \"LATER\"} ?m)]\n\t\t   [(missing? $ ?b :block/scheduled)]\n\t\t   [(missing? $ ?b :block/deadline)] ] }\n\t\t  #+END_QUERY\n\t- **Query for a task having a given block property**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/889013656409505802)\n\t  date:: [[2021-09-19]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"My TASKS (type: example)\"\n\t\t  :query [:find (pull ?b [*])\n\t\t  :where\n\t\t  [?b :block/marker ?marker]\n\t\t  [(contains? #{\"DONE\"} ?marker)]\n\t\t  [?b :block/properties ?prop]\n\t\t  [(get ?prop :type) ?type]\n\t\t  [(= \"example\" ?type)]\n\t\t  ]\n\t\t  :collapsed? false}\n\t\t  #+END_QUERY\n\t\t- DONE Check query with task and property.\n\t\t  type:: example\n\t- **List all projects (type:: project) that do not have any TODOs on their pages**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/891274363062599702)\n\t  date:: [[2021-09-25]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:query[:find (pull ?p [*]) \n\t\t    :where\n\t\t    [?b :block/page ?p]\n\t\t    [?p :block/properties ?props]\n\t\t    [(get ?props :type) ?type]\n\t\t    [(= ?type \"project\")]\n\t\t    (not-join [?p]\n\t\t      [?b :block/page ?p]\n\t\t      [?b :block/marker _]) ]}\n\t\t  #+END_QUERY\n\t- **List all the projects with page property \"status\" as [[Active]]**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/891910125667905546)\n\t  date:: [[2021-9-27]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:query[:find (pull ?p [*]) \n\t\t    :where\n\t\t    [?b :block/page ?p]\n\t\t    [?p :block/properties ?props]\n\t\t    [(get ?props :status) ?status]\n\t\t    [(= ?status #{\"Active\"})]]}\n\t\t  #+END_QUERY\n\t- **Query all tasks excluding those on a page [[Journal reviews]]**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/892166421029728256), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/892189369622990949)\n\t  date:: [[2021-09-27]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"📅 TESTING\"\n\t\t        :query [:find (pull ?b [*])\n\t\t                :where\n\t\t                [?b :block/marker ?marker]\n\t\t                [(missing? $ ?b :block/scheduled)]\n\t\t                [(missing? $ ?b :block/deadline)]\n\t\t                [(contains? #{\"LATER\" \"TODO\"} ?marker)]\n\t\t                [?b :block/page ?page]\n\t\t                [?page :block/original-name ?name]\n\t\t                (not[(= ?name \"Journal reviews\")])]\n\t\t   }\n\t\t  #+END_QUERY\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"Main Tasks\"\n\t\t        :query [:find (pull ?b [*])\n\t\t                :where\n\t\t                [?b :block/marker ?marker]\n\t\t                [(missing? $ ?b :block/scheduled)]\n\t\t                [(missing? $ ?b :block/deadline)]\n\t\t                [(contains? #{\"LATER\" \"TODO\"} ?marker)]\n\t\t                (not [?b :block/path-refs [:block/name \"test\"]])\n\t\t                [?b :block/page ?page]\n\t\t                [?page :block/original-name ?name]\n\t\t                (not[(= ?name \"Journal reviews\")])]\n\t\t   :breadcrumb-show? false\n\t\t   :result-transform (fn [result]\n\t\t                          (sort-by (fn [h]\n\t\t                                     (get h :block/created-at)) result))\n\t\t  :collapsed? true\n\t\t   }\n\t\t  #+END_QUERY\n\t- WAITING **Query all scheduled/deadlined tasks and sort them by scheduled or deadline date**\n\t  SCHEDULED: <2022-01-30 Sun>\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/897615821688410114)\n\t  date:: [[2021-10-13]]\n\t  collapsed:: true\n\t\t- collapsed:: true\n\t\t  #+BEGIN_QUERY\n\t\t  {:title \"🔮 Future Tasks\"\n\t\t   :query [:find (pull ?block [*])\n\t\t           :in $ ?start ?next\n\t\t           :where\n\t\t           [?block :block/marker ?marker]\n\t\t           [(contains? #{\"NOW\" \"LATER\" \"TODO\" \"DOING\" \"WAITING\"} ?marker)]\n\t\t           (or\n\t\t             [?block :block/scheduled ?d]\n\t\t             [?block :block/deadline ?d])\n\t\t           [(>= ?d ?start)]\n\t\t           [(<= ?d ?next)]]\n\t\t   :inputs [:today :365d-after]\n\t\t   :breadcrumb-show? false\n\t\t   :result-transform (fn [result]\n\t\t                       (sort-by (fn [b]\n\t\t                                 (or (get b :block/scheduled) (get b :block/deadline))) result))\n\t\t   :collapsed? true\n\t\t  }\n\t\t  #+END_QUERY\n\t- **All tasks with priority A**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/898234502890004532)\n\t  date:: [[2021-10-14]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {:title \"All todos that with priority A\"\n\t\t   :query [:find (pull ?b [*])\n\t\t         :where\n\t\t         [?b :block/priority \"A\"]]}\n\t\t  #+END_QUERY\n\t- **Query snippet to grab the children blocks**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/901520859779461170)\n\t  date:: [[2021-10-23]]\n\t  collapsed:: true\n\t\t- Replace `(pull ?h [*])` with:\n\t\t- ``` clojure\n\t\t  #+BEGIN_QUERY\n\t\t  (pull ?h [\n\t\t      :db/id\n\t\t      :block/uuid\n\t\t      :block/type\n\t\t      :block/left\n\t\t      :block/format\n\t\t      :block/title\n\t\t      :block/refs\n\t\t      :block/_refs\n\t\t      :block/path-refs\n\t\t      :block/tags\n\t\t      :block/content\n\t\t      :block/marker\n\t\t      :block/priority\n\t\t      :block/properties\n\t\t      :block/body\n\t\t      :block/pre-block?\n\t\t      :block/scheduled\n\t\t      :block/deadline\n\t\t      :block/repeated?\n\t\t      :block/created-at\n\t\t      :block/updated-at\n\t\t      :block/file\n\t\t      :block/parent\n\t\t      :block/unordered\n\t\t      :block/heading-level\n\t\t      {:block/page\n\t\t      [:db/id :block/name :block/original-name :block/journal-day]}\n\t\t      {:block/_parent ...}])\n\t\t  \n\t\t  ```\n\t- **Query for non-task blocks with a schedule/deadline in the past**\n\t  collapsed:: true\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/905889607705575434)\n\t  date:: [[2021-11-04]]\n\t\t- query-table:: false\n\t\t  #+BEGIN_QUERY \n\t\t  {:title \"Old Blocks\"\n\t\t   :query         [:find (pull ?b [*])\n\t\t                   :in $ ?start\n\t\t                   :where\n\t\t                   (or [?b :block/scheduled ?d]\n\t\t                       [?b :block/deadline ?d])\n\t\t                   [(< ?d ?start)]\n\t\t                   (not [?b :block/marker ?marker] \n\t\t                    [(contains? #{\"DONE\" \"CANCELED\"} ?marker)])]\n\t\t   :inputs [:today]\n\t\t   :collapsed? false}\n\t\t  #+END_QUERY\n\t- **Query to find tasks under a block containing the text \"Follow-up\"**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/918847233586253906)\n\t  date:: [[2021-12-10]]\n\t  collapsed:: true\n\t\t- Follow-up\n\t\t\t- DONE find this block\n\t\t\t- #+BEGIN_QUERY\n\t\t\t    {:title \"Find: Follow-up Tasks\"\n\t\t\t    :query [:find (pull ?b [*])\n\t\t\t    :where\n\t\t\t       [?p :block/content \"Follow-up\"]\n\t\t\t       [?b :block/parent ?p]\n\t\t\t       [?b :block/marker ?marker]\n\t\t\t       [(contains? #{\"TODO\" \"DOING\" \"DONE\"} ?marker)]]\n\t\t\t  }\n\t\t\t    #+END_QUERY\n\t- **Query all pages that have been created in the last 2 days**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/920559641514082374)\n\t  date:: [[2021-12-15]]\n\t  collapsed:: true\n\t\t- query-properties:: [:page :created-at]\n\t\t  #+BEGIN_QUERY\n\t\t  {:title \"Pages in last 2 days\"\n\t\t  :query [:find (pull ?p [*])\n\t\t              :in $ ?today\n\t\t              :where \n\t\t              [?p :block/created-at ?d]\n\t\t              [(- ?today 172800000) ?start]\n\t\t              [(>= ?d ?start)]\n\t\t              [(<= ?d ?today)]\n\t\t      ]\n\t\t  :inputs [:right-now-ms]}\n\t\t  #+END_QUERY\n\t\t- `172800000` is 2 days in ms.\n\t- **Query to create a table with page and todo count**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/921337299164356658)\n\t  date:: [[2021-12-17]]\n\t  collapsed:: true\n\t\t- query-table:: false\n\t\t  #+BEGIN_QUERY \n\t\t  {:title \"TODO by page\"\n\t\t    :query     [:find (pull ?b [:block/marker :block/parent {:block/page\n\t\t       [:db/id :block/name]}])\n\t\t    :where\n\t\t             [?b :block/marker ?marker]\n\t\t             [(= \"TODO\" ?marker)] \n\t\t    ]\n\t\t  :result-transform (fn [result]\n\t\t                          (map (fn [[key value]] {:page (get key :block/name) :count (count value)}) (group-by :block/page result))\n\t\t                  )\n\t\t  :view (fn [rows] [:table \n\t\t   [:thead \n\t\t    [:tr \n\t\t     [:th \"Page\"] \n\t\t     [:th \"Count\"] ] ] \n\t\t   [:tbody \n\t\t  (for [r rows] [:tr \n\t\t     [:td [:a {:href (str \"#/page/\" (get r :page))} (get r :page)] ] \n\t\t     [:td (get r :count)] ])\n\t\t     ]]\n\t\t  )\n\t\t  }\n\t\t  #+END_QUERY\n\t- **Simple query to finds all the tasks created today**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923276145321967676), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923282510283169812), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923486975552528424)\n\t  date:: [[2021-12-22]]\n\t  collapsed:: true\n\t\t- {{query (and (between -0d ++0d) (task TODO))}}\n\t\t- d is used to indicate a day. 0d means 0 days or today. \n\t\t  Think of it this way:\n\t\t  Between  -0d and ++0d\n\t\t\t- = between today-1 and today+1\n\t\t\t  = between yesterday and tommrow \n\t\t\t  = today\n\t\t- ++1d transformed to todays date\n\t\t  +1d transformed to tomorrow\n\t\t  -1d transformed to yesterday\n\t- **Query all blocks on the current page having a specific tag, say \"#datalog\"**\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923925207738109962)\n\t  date:: [[2021-12-24]]\n\t  collapsed:: true\n\t\t- #+BEGIN_QUERY\n\t\t  {\n\t\t      :query [\n\t\t          :find (pull ?b [*]) \n\t\t          :in $ ?current-page\n\t\t          :where \n\t\t              [?p :block/name ?current-page]\n\t\t              [?b :block/page ?p]\n\t\t              [?b :block/path-refs [:block/name \"datalog\"]]\n\t\t      ]\n\t\t      :inputs [:current-page]}\n\t\t  }\n\t\t  #+END_QUERY\n\t- **Query to create a table from \"birthday\" property of a page**\n\t  id:: 61db1cf4-95f0-458b-97b9-a42f02c9ce12\n\t  link:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/924614606842904577)\n\t  date:: [[2021-12-26]]\n\t\t- query-table:: false\n\t\t  query-properties:: [:alias :birthday]\n\t\t  #+BEGIN_QUERY\n\t\t  {\n\t\t   :query [:find (pull ?b [*])\n\t\t        :where\n\t\t        [?b :block/properties ?bprops]\n\t\t        [(get ?bprops :birthday \"nil\") ?bs]\n\t\t        [(not= ?bs \"nil\")]]\n\t\t  :result-transform (fn [result]\n\t\t      (sort-by (fn [h]\n\t\t        (get-in h [:block/properties :verjaardag])) result))\n\t\t  }\n\t\t  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[:end-of-today-ms]\n}\n#+END_QUERY",536870919]],["^15",[524,"^O","^16",536870919]],["^15",[524,"^F",593,536870919]],["^15",[524,"^X",483,536870919]],["^15",[524,"^V",546,536870919]],["^15",[524,"^U",483,536870919]],["^15",[524,"^U",490,536870919]],["^15",[524,"^U",498,536870919]],["^15",[524,"^U",502,536870919]],["^15",[524,"^U",508,536870919]],["^15",[524,"^?",["^ ","^1?","updated-at","^1@",true,"~:query-properties","[:page :updated-at]","^1>",true],536870919]],["^15",[524,"^J",["^1?","^1@","^1I","^1>"],536870919]],["^15",[524,"^4",["^ ","^1?","updated-at","^1@","true","^1I","[:page :updated-at]","^1>","true"],536870919]],["^15",[524,"^;","~u686c5fe9-615f-4d5c-9580-1f1025a082a5",536870919]],["^15",[525,"^Q","",536870919]],["^15",[525,"^O","^16",536870919]],["^15",[525,"^F",563,536870919]],["^15",[525,"^X",483,536870919]],["^15",[525,"^V",554,536870919]],["^15",[525,"^U",483,536870919]],["^15",[525,"^;","~u686c5fe9-a227-4953-a70d-3d2aacb81b0e",536870919]],["^15",[526,"^M",true,536870919]],["^15",[526,"^Q","**Query all blocks on the current page having a specific tag, say \"#datalog\"**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923925207738109962)\ndate:: [[2021-12-24]]\ncollapsed:: true",536870919]],["^15",[526,"^O","^16",536870919]],["^15",[526,"^F",611,536870919]],["^15",[526,"^X",483,536870919]],["^15",[526,"^V",577,536870919]],["^15",[526,"^U",483,536870919]],["^15",[526,"^U",498,536870919]],["^15",[526,"^U",502,536870919]],["^15",[526,"^U",506,536870919]],["^15",[526,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/923925207738109962)","^1H",["^1:",["2021-12-24"]]],536870919]],["^15",[526,"^J",["^1G","^1H"],536870919]],["^15",[526,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/923925207738109962)","^1H","[[2021-12-24]]"],536870919]],["^15",[526,"^H",498,536870919]],["^15",[526,"^H",502,536870919]],["^15",[526,"^H",506,536870919]],["^15",[526,"^;","~u686c5fe9-4e6d-4db6-bf3b-ea3cd22edbb3",536870919]],["^15",[527,"^Q","[link: Logseq datascript](https://github.com/logseq/datascript/blob/fork/src/datascript/query.cljc)",536870919]],["^15",[527,"^O","^16",536870919]],["^15",[527,"^F",557,536870919]],["^15",[527,"^X",483,536870919]],["^15",[527,"^V",589,536870919]],["^15",[527,"^U",483,536870919]],["^15",[527,"^;","~u686c5fe9-08f6-42e7-b8ed-d6d9ff4cda58",536870919]],["^15",[528,"^M",true,536870919]],["^15",[528,"^Q","**List of currently DOING tasks**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/848575612385624074)\ndate:: [[2021-05-30]]\ncollapsed:: true\n:LOGBOOK:\nCLOCK: [2022-01-08 Sat 19:22:04]\nCLOCK: [2022-01-08 Sat 19:22:07]\nCLOCK: [2022-01-08 Sat 19:22:13]\nCLOCK: [2022-01-08 Sat 19:22:14]\nCLOCK: [2022-01-08 Sat 19:22:24]\nCLOCK: [2022-01-08 Sat 19:22:26]\nCLOCK: [2022-01-08 Sat 19:22:28]\nCLOCK: [2022-01-08 Sat 19:22:31]\nCLOCK: [2022-01-08 Sat 19:22:32]\nCLOCK: [2022-01-08 Sat 19:22:42]\n:END:",536870919]],["^15",[528,"^O","^16",536870919]],["^15",[528,"^F",534,536870919]],["^15",[528,"^X",483,536870919]],["^15",[528,"^V",577,536870919]],["^15",[528,"^U",481,536870919]],["^15",[528,"^U",483,536870919]],["^15",[528,"^U",498,536870919]],["^15",[528,"^U",502,536870919]],["^15",[528,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/848575612385624074)","^1H",["^1:",["2021-05-30"]]],536870919]],["^15",[528,"^J",["^1G","^1H"],536870919]],["^15",[528,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/848575612385624074)","^1H","[[2021-05-30]]"],536870919]],["^15",[528,"^H",481,536870919]],["^15",[528,"^H",498,536870919]],["^15",[528,"^H",502,536870919]],["^15",[528,"^;","~u686c5fe9-6772-4421-9384-0b375d248da7",536870919]],["^15",[529,"^Q","#+BEGIN_QUERY\n{:query[:find (pull ?p [*]) \n  :where\n  [?b :block/page ?p]\n  [?p :block/properties ?props]\n  [(get ?props :status) ?status]\n  [(= ?status #{\"Active\"})]]}\n#+END_QUERY",536870919]],["^15",[529,"^O","^16",536870919]],["^15",[529,"^F",598,536870919]],["^15",[529,"^X",483,536870919]],["^15",[529,"^V",598,536870919]],["^15",[529,"^U",483,536870919]],["^15",[529,"^U",498,536870919]],["^15",[529,"^U",502,536870919]],["^15",[529,"^U",503,536870919]],["^15",[529,"^U",504,536870919]],["^15",[529,"^;","~u686c5fe9-1e50-4c8c-bfc2-0c0c9bf64d1a",536870919]],["^15",[530,"^Q","This page is a collection of some of the Advanced queries from the [[Datalog]] channel on the [[Logseq/Discord]] server. #datalog\nid:: 61db13f4-75e8-4f87-ad60-3ac3479c5fc8",536870919]],["^15",[530,"^O","^16",536870919]],["^15",[530,"^F",483,536870919]],["^15",[530,"^X",483,536870919]],["^15",[530,"^V",483,536870919]],["^15",[530,"^U",474,536870919]],["^15",[530,"^U",482,536870919]],["^15",[530,"^U",483,536870919]],["^15",[530,"^U",497,536870919]],["^15",[530,"^?",["^ ","^1D","61db13f4-75e8-4f87-ad60-3ac3479c5fc8"],536870919]],["^15",[530,"^J",["^1D"],536870919]],["^15",[530,"^4",["^ ","^1D","61db13f4-75e8-4f87-ad60-3ac3479c5fc8"],536870919]],["^15",[530,"^H",474,536870919]],["^15",[530,"^H",482,536870919]],["^15",[530,"^H",497,536870919]],["^15",[530,"^;","~u61db13f4-75e8-4f87-ad60-3ac3479c5fc8",536870919]],["^15",[531,"^M",true,536870919]],["^15",[531,"^Q","**Query for TODO and LATER but excluding SCHEDULED tasks**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/888689090160103476)\ndate:: [[2021-09-18]]\ncollapsed:: true",536870919]],["^15",[531,"^O","^16",536870919]],["^15",[531,"^F",549,536870919]],["^15",[531,"^X",483,536870919]],["^15",[531,"^V",577,536870919]],["^15",[531,"^U",483,536870919]],["^15",[531,"^U",491,536870919]],["^15",[531,"^U",498,536870919]],["^15",[531,"^U",502,536870919]],["^15",[531,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/888689090160103476)","^1H",["^1:",["2021-09-18"]]],536870919]],["^15",[531,"^J",["^1G","^1H"],536870919]],["^15",[531,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/888689090160103476)","^1H","[[2021-09-18]]"],536870919]],["^15",[531,"^H",491,536870919]],["^15",[531,"^H",498,536870919]],["^15",[531,"^H",502,536870919]],["^15",[531,"^;","~u686c5fe9-ff4b-491f-8266-f0cdfcbe2ab6",536870919]],["^15",[532,"^Q","[link: How to Graph Your Data - talk by Paula Gearon](https://youtu.be/tbVwmFBnfo4)",536870919]],["^15",[532,"^O","^16",536870919]],["^15",[532,"^F",606,536870919]],["^15",[532,"^X",483,536870919]],["^15",[532,"^V",589,536870919]],["^15",[532,"^U",483,536870919]],["^15",[532,"^;","~u686c5fe9-5707-47ae-9313-6b42303933bc",536870919]],["^15",[533,"^M",true,536870919]],["^15",[533,"^Q","**Querying TODOs from hierarchy pages**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/880431776500179004)\ndate:: [[2021-08-06]]\ncollapsed:: true",536870919]],["^15",[533,"^O","^16",536870919]],["^15",[533,"^F",573,536870919]],["^15",[533,"^X",483,536870919]],["^15",[533,"^V",577,536870919]],["^15",[533,"^U",483,536870919]],["^15",[533,"^U",496,536870919]],["^15",[533,"^U",498,536870919]],["^15",[533,"^U",502,536870919]],["^15",[533,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/880431776500179004)","^1H",["^1:",["2021-08-06"]]],536870919]],["^15",[533,"^J",["^1G","^1H"],536870919]],["^15",[533,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/880431776500179004)","^1H","[[2021-08-06]]"],536870919]],["^15",[533,"^H",496,536870919]],["^15",[533,"^H",498,536870919]],["^15",[533,"^H",502,536870919]],["^15",[533,"^;","~u686c5fe9-6466-4f1b-926e-48183bb0cd78",536870919]],["^15",[534,"^M",true,536870919]],["^15",[534,"^Q","**Find all unlinked pages**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/832512082289229824)\ndate:: [[2021-04-16]]\ncollapsed:: true",536870919]],["^15",[534,"^O","^16",536870919]],["^15",[534,"^F",572,536870919]],["^15",[534,"^X",483,536870919]],["^15",[534,"^V",577,536870919]],["^15",[534,"^U",483,536870919]],["^15",[534,"^U",498,536870919]],["^15",[534,"^U",500,536870919]],["^15",[534,"^U",502,536870919]],["^15",[534,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/832512082289229824)","^1H",["^1:",["2021-04-16"]]],536870919]],["^15",[534,"^J",["^1G","^1H"],536870919]],["^15",[534,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/832512082289229824)","^1H","[[2021-04-16]]"],536870919]],["^15",[534,"^H",498,536870919]],["^15",[534,"^H",500,536870919]],["^15",[534,"^H",502,536870919]],["^15",[534,"^;","~u686c5fe9-de95-44a6-979a-89a647e7eb35",536870919]],["^15",[535,"^Q","#+BEGIN_QUERY\n{:title [:h2.font-bold.opacity-70 \"TODO\"]\n    :query [\n            :find (pull ?h [*])\n            :where\n                [?h :block/marker ?marker]\n                [(= ?marker \"TODO\")]\n            ]\n    :result-transform (fn [result]\n                        (sort-by (fn [h]\n                                   (get h :block/priority \"Z\")) result))\n    :collapsed? true}\n#+END_QUERY",536870919]],["^15",[535,"^O","^16",536870919]],["^15",[535,"^F",604,536870919]],["^15",[535,"^X",483,536870919]],["^15",[535,"^V",604,536870919]],["^15",[535,"^U",479,536870919]],["^15",[535,"^U",483,536870919]],["^15",[535,"^U",498,536870919]],["^15",[535,"^U",502,536870919]],["^15",[535,"^;","~u686c5fe9-08b9-49cd-9fa6-f900d1aff7fb",536870919]],["^15",[536,"^Q","#+BEGIN_QUERY \n{:title \"Broken References\"\n :query [:find (pull ?b [*])\n         :in $ ?matcher\n         :where\n         [(re-pattern ?matcher) ?regex]\n         [?b :block/content ?c]\n         [(re-find ?regex ?c)]\n         [(missing? $ ?b :block/refs)]]\n :inputs [ \"\\\\([0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}\\\\)\"]\n }\n#+END_QUERY",536870919]],["^15",[536,"^O","^16",536870919]],["^15",[536,"^F",520,536870919]],["^15",[536,"^X",483,536870919]],["^15",[536,"^V",520,536870919]],["^15",[536,"^U",483,536870919]],["^15",[536,"^U",495,536870919]],["^15",[536,"^U",498,536870919]],["^15",[536,"^U",502,536870919]],["^15",[536,"^;","~u686c5fe9-b8d2-4c22-9a74-41c52b706762",536870919]],["^15",[537,"^M",true,536870919]],["^15",[537,"^Q","**Query all tasks excluding those on a page [[Journal reviews]]**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/892166421029728256), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/892189369622990949)\ndate:: [[2021-09-27]]\ncollapsed:: true",536870919]],["^15",[537,"^O","^16",536870919]],["^15",[537,"^F",598,536870919]],["^15",[537,"^X",483,536870919]],["^15",[537,"^V",577,536870919]],["^15",[537,"^U",480,536870919]],["^15",[537,"^U",483,536870919]],["^15",[537,"^U",498,536870919]],["^15",[537,"^U",502,536870919]],["^15",[537,"^U",504,536870919]],["^15",[537,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/892166421029728256), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/892189369622990949)","^1H",["^1:",["2021-09-27"]]],536870919]],["^15",[537,"^J",["^1G","^1H"],536870919]],["^15",[537,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/892166421029728256), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/892189369622990949)","^1H","[[2021-09-27]]"],536870919]],["^15",[537,"^H",480,536870919]],["^15",[537,"^H",498,536870919]],["^15",[537,"^H",502,536870919]],["^15",[537,"^H",504,536870919]],["^15",[537,"^;","~u686c5fe9-ecc2-4a29-91ba-0ebd54f2e6f4",536870919]],["^15",[538,"^Q","{{embed ((686c3af1-5149-453c-94b2-94028372c22b))}}",536870919]],["^15",[538,"^O","^16",536870919]],["^15",[538,"^F",578,536870919]],["^15",[538,"^S",620,536870919]],["^15",[538,"^X",483,536870919]],["^15",[538,"^V",578,536870919]],["^15",[538,"^U",483,536870919]],["^15",[538,"^U",488,536870919]],["^15",[538,"^H",488,536870919]],["^15",[538,"^H",546,536870919]],["^15",[538,"^;","~u686c5fe9-b0ac-4ddc-be06-92366ad173fa",536870919]],["^15",[539,"^Q","{{query (and (between -0d ++0d) (task TODO))}}",536870919]],["^15",[539,"^O","^16",536870919]],["^15",[539,"^F",611,536870919]],["^15",[539,"^S",621,536870919]],["^15",[539,"^X",483,536870919]],["^15",[539,"^V",611,536870919]],["^15",[539,"^U",483,536870919]],["^15",[539,"^U",498,536870919]],["^15",[539,"^U",501,536870919]],["^15",[539,"^U",502,536870919]],["^15",[539,"^;","~u686c5fe9-ad3a-4361-b885-01e2f5d21a5f",536870919]],["^15",[540,"^M",true,536870919]],["^15",[540,"^Q","**Query to show random block**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/867362494871765002)\ndate:: [[2021-07-21]]\ncollapsed:: true",536870919]],["^15",[540,"^O","^16",536870919]],["^15",[540,"^F",528,536870919]],["^15",[540,"^X",483,536870919]],["^15",[540,"^V",577,536870919]],["^15",[540,"^U",475,536870919]],["^15",[540,"^U",483,536870919]],["^15",[540,"^U",498,536870919]],["^15",[540,"^U",502,536870919]],["^15",[540,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/867362494871765002)","^1H",["^1:",["2021-07-21"]]],536870919]],["^15",[540,"^J",["^1G","^1H"],536870919]],["^15",[540,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/867362494871765002)","^1H","[[2021-07-21]]"],536870919]],["^15",[540,"^H",475,536870919]],["^15",[540,"^H",498,536870919]],["^15",[540,"^H",502,536870919]],["^15",[540,"^;","~u686c5fe9-cf4a-41b1-9c96-dd246a11c45c",536870919]],["^15",[541,"^Q","#+BEGIN_QUERY\n{:title \"Siloed search\"\n :query [:find (pull ?b [*])\n         :in $ ?keyword [?title ...]\n         :where\n         [(str \"(?i)\" ?keyword) ?matcher]\n         [(re-pattern ?matcher) ?regex]\n         [?p :block/original-name ?title]\n         [?b :block/page ?p]\n         [?b :block/content ?c]\n         [(re-find ?regex ?c)]]\n :inputs [\"tasks\" [\"Advanced queries\" \"Advanced queries/Examples\"]]\n }\n#+END_QUERY",536870919]],["^15",[541,"^O","^16",536870919]],["^15",[541,"^F",614,536870919]],["^15",[541,"^X",483,536870919]],["^15",[541,"^V",581,536870919]],["^15",[541,"^U",483,536870919]],["^15",[541,"^U",498,536870919]],["^15",[541,"^U",502,536870919]],["^15",[541,"^U",507,536870919]],["^15",[541,"^;","~u686c5fe9-5b97-4000-b4bb-863a2ae997e0",536870919]],["^15",[542,"^Q","#+BEGIN_QUERY\n{:title \"Give me a random block!!!\"\n :query [:find (pull ?b [*])\n         :where\n         [?b :block/content ?content]\n         (not [(empty? ?content)])]\n :result-transform (fn [result]\n                     [(rand-nth result)])\n :collapsed? true}\n#+END_QUERY",536870919]],["^15",[542,"^O","^16",536870919]],["^15",[542,"^F",540,536870919]],["^15",[542,"^X",483,536870919]],["^15",[542,"^V",540,536870919]],["^15",[542,"^U",475,536870919]],["^15",[542,"^U",483,536870919]],["^15",[542,"^U",498,536870919]],["^15",[542,"^U",502,536870919]],["^15",[542,"^;","~u686c5fe9-fcb6-44ef-81f3-9d02843e0c43",536870919]],["^15",[543,"^M",true,536870919]],["^15",[543,"^Q","**Query to create a table with page and todo count**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/921337299164356658)\ndate:: [[2021-12-17]]\ncollapsed:: true",536870919]],["^15",[543,"^O","^16",536870919]],["^15",[543,"^F",553,536870919]],["^15",[543,"^X",483,536870919]],["^15",[543,"^V",577,536870919]],["^15",[543,"^U",483,536870919]],["^15",[543,"^U",498,536870919]],["^15",[543,"^U",502,536870919]],["^15",[543,"^U",505,536870919]],["^15",[543,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/921337299164356658)","^1H",["^1:",["2021-12-17"]]],536870919]],["^15",[543,"^J",["^1G","^1H"],536870919]],["^15",[543,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/921337299164356658)","^1H","[[2021-12-17]]"],536870919]],["^15",[543,"^H",498,536870919]],["^15",[543,"^H",502,536870919]],["^15",[543,"^H",505,536870919]],["^15",[543,"^;","~u686c5fe9-bd5d-4f64-b416-b84d68b75ba1",536870919]],["^15",[544,"^Q","DONE find this block",536870919]],["^15",[544,"^O","^16",536870919]],["^15",[544,"^F",522,536870919]],["^15",[544,"^10","DONE",536870919]],["^15",[544,"^X",483,536870919]],["^15",[544,"^V",522,536870919]],["^15",[544,"^U",7,536870919]],["^15",[544,"^U",476,536870919]],["^15",[544,"^U",483,536870919]],["^15",[544,"^U",498,536870919]],["^15",[544,"^U",502,536870919]],["^15",[544,"^H",7,536870919]],["^15",[544,"^;","~u686c5fe9-bb3b-41b7-892f-2fa90f8bcfa5",536870919]],["^15",[545,"^Q","#+BEGIN_QUERY\n{\n    :query [\n        :find (pull ?b [*]) \n        :in $ ?current-page\n        :where \n            [?p :block/name ?current-page]\n            [?b :block/page ?p]\n            [?b :block/path-refs [:block/name \"datalog\"]]\n    ]\n    :inputs [:current-page]}\n}\n#+END_QUERY",536870919]],["^15",[545,"^O","^16",536870919]],["^15",[545,"^F",526,536870919]],["^15",[545,"^X",483,536870919]],["^15",[545,"^V",526,536870919]],["^15",[545,"^U",483,536870919]],["^15",[545,"^U",498,536870919]],["^15",[545,"^U",502,536870919]],["^15",[545,"^U",506,536870919]],["^15",[545,"^;","~u686c5fe9-2b0c-4696-88ee-64511e168616",536870919]],["^15",[546,"^M",true,536870919]],["^15",[546,"^Q","**List all the pages updated in the last 3 days**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/884486589827395724),  [Discord](https://discord.com/channels/725182569297215569/743139225746145311/885529176730398821)\ndate:: [[2021-09-06]], [[2021-09-09]]\nid:: 686c3af1-5149-453c-94b2-94028372c22b\ncollapsed:: true",536870919]],["^15",[546,"^O","^16",536870919]],["^15",[546,"^F",533,536870919]],["^15",[546,"^X",483,536870919]],["^15",[546,"^V",577,536870919]],["^15",[546,"^U",483,536870919]],["^15",[546,"^U",490,536870919]],["^15",[546,"^U",498,536870919]],["^15",[546,"^U",502,536870919]],["^15",[546,"^U",508,536870919]],["^15",[546,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/884486589827395724),  [Discord](https://discord.com/channels/725182569297215569/743139225746145311/885529176730398821)","^1H",["^1:",["2021-09-06","2021-09-09"]],"^1D","686c3af1-5149-453c-94b2-94028372c22b"],536870919]],["^15",[546,"^J",["^1G","^1H","^1D"],536870919]],["^15",[546,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/884486589827395724),  [Discord](https://discord.com/channels/725182569297215569/743139225746145311/885529176730398821)","^1H","[[2021-09-06]], [[2021-09-09]]","^1D","686c3af1-5149-453c-94b2-94028372c22b"],536870919]],["^15",[546,"^H",490,536870919]],["^15",[546,"^H",498,536870919]],["^15",[546,"^H",502,536870919]],["^15",[546,"^H",508,536870919]],["^15",[546,"^;","~u686c3af1-5149-453c-94b2-94028372c22b",536870919]],["^15",[547,"^M",true,536870919]],["^15",[547,"^Q","**Query for a task having a given block property**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/889013656409505802)\ndate:: [[2021-09-19]]\ncollapsed:: true",536870919]],["^15",[547,"^O","^16",536870919]],["^15",[547,"^F",531,536870919]],["^15",[547,"^X",483,536870919]],["^15",[547,"^V",577,536870919]],["^15",[547,"^U",483,536870919]],["^15",[547,"^U",484,536870919]],["^15",[547,"^U",498,536870919]],["^15",[547,"^U",502,536870919]],["^15",[547,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/889013656409505802)","^1H",["^1:",["2021-09-19"]]],536870919]],["^15",[547,"^J",["^1G","^1H"],536870919]],["^15",[547,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/889013656409505802)","^1H","[[2021-09-19]]"],536870919]],["^15",[547,"^H",484,536870919]],["^15",[547,"^H",498,536870919]],["^15",[547,"^H",502,536870919]],["^15",[547,"^;","~u686c5fe9-1307-4261-9bb4-62fdff42326b",536870919]],["^15",[548,"^M",true,536870919]],["^15",[548,"^Q","collapsed:: true\n#+BEGIN_QUERY\n{:title \"🔮 Future Tasks\"\n :query [:find (pull ?block [*])\n         :in $ ?start ?next\n         :where\n         [?block :block/marker ?marker]\n         [(contains? #{\"NOW\" \"LATER\" \"TODO\" \"DOING\" \"WAITING\"} ?marker)]\n         (or\n           [?block :block/scheduled ?d]\n           [?block :block/deadline ?d])\n         [(>= ?d ?start)]\n         [(<= ?d ?next)]]\n :inputs [:today :365d-after]\n :breadcrumb-show? false\n :result-transform (fn [result]\n                     (sort-by (fn [b]\n                               (or (get b :block/scheduled) (get b :block/deadline))) result))\n :collapsed? true\n}\n#+END_QUERY",536870919]],["^15",[548,"^O","^16",536870919]],["^15",[548,"^F",608,536870919]],["^15",[548,"^X",483,536870919]],["^15",[548,"^V",608,536870919]],["^15",[548,"^U",13,536870919]],["^15",[548,"^U",483,536870919]],["^15",[548,"^U",498,536870919]],["^15",[548,"^U",502,536870919]],["^15",[548,"^U",509,536870919]],["^15",[548,"^?",["^ "],536870919]],["^15",[548,"^J",[],536870919]],["^15",[548,"^4",["^ "],536870919]],["^15",[548,"^;","~u686c5fe9-b105-409c-b4bf-76083f2ba565",536870919]],["^15",[549,"^Q","",536870919]],["^15",[549,"^O","^16",536870919]],["^15",[549,"^F",546,536870919]],["^15",[549,"^X",483,536870919]],["^15",[549,"^V",577,536870919]],["^15",[549,"^U",483,536870919]],["^15",[549,"^;","~u686c5fe9-ad3a-4f2e-83fa-2c246758dd41",536870919]],["^15",[550,"^Q","#+BEGIN_QUERY \n{:title \"Backlog\"\n:query [:find (pull ?todo [*]) :in $ ?current-page\n:where\n[?p :block/name ?current-page]\n[?todo :block/marker ?marker]\n(not [?todo :block/page ?p])\n(not [_ :block/refs ?todo])\n[(contains? #{\"TODO\" \"DOING\"} ?marker)]\n]\n:inputs [:current-page]\n :breadcrumb-show? false\n :result-transform (fn [result]\n                        (sort-by (fn [h]\n                                   (get h :block/priority \"Z\")) result))\n :collapsed? true}\n#+END_QUERY",536870919]],["^15",[550,"^O","^16",536870919]],["^15",[550,"^F",602,536870919]],["^15",[550,"^X",483,536870919]],["^15",[550,"^V",602,536870919]],["^15",[550,"^U",483,536870919]],["^15",[550,"^U",498,536870919]],["^15",[550,"^U",502,536870919]],["^15",[550,"^U",507,536870919]],["^15",[550,"^;","~u686c5fe9-9a9b-459e-a7e7-d84269d731fd",536870919]],["^15",[551,"^Q","[link: Logseq docs - Advanced queries](https://docs.logseq.com/#/page/advanced%20queries)",536870919]],["^15",[551,"^O","^16",536870919]],["^15",[551,"^F",605,536870919]],["^15",[551,"^X",483,536870919]],["^15",[551,"^V",589,536870919]],["^15",[551,"^U",483,536870919]],["^15",[551,"^;","~u686c5fe9-6216-4ca4-87c4-6c1465c70f31",536870919]],["^15",[552,"^Q","#+BEGIN_QUERY\n{:title \"📅 TESTING\"\n      :query [:find (pull ?b [*])\n              :where\n              [?b :block/marker ?marker]\n              [(missing? $ ?b :block/scheduled)]\n              [(missing? $ ?b :block/deadline)]\n              [(contains? #{\"LATER\" \"TODO\"} ?marker)]\n              [?b :block/page ?page]\n              [?page :block/original-name ?name]\n              (not[(= ?name \"Journal reviews\")])]\n }\n#+END_QUERY",536870919]],["^15",[552,"^O","^16",536870919]],["^15",[552,"^F",537,536870919]],["^15",[552,"^X",483,536870919]],["^15",[552,"^V",537,536870919]],["^15",[552,"^U",480,536870919]],["^15",[552,"^U",483,536870919]],["^15",[552,"^U",498,536870919]],["^15",[552,"^U",502,536870919]],["^15",[552,"^U",504,536870919]],["^15",[552,"^;","~u686c5fe9-e903-4043-803b-18e202ed59ad",536870919]],["^15",[553,"^M",true,536870919]],["^15",[553,"^Q","**Query all pages that have been created in the last 2 days**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/920559641514082374)\ndate:: [[2021-12-15]]\ncollapsed:: true",536870919]],["^15",[553,"^O","^16",536870919]],["^15",[553,"^F",612,536870919]],["^15",[553,"^X",483,536870919]],["^15",[553,"^V",577,536870919]],["^15",[553,"^U",478,536870919]],["^15",[553,"^U",483,536870919]],["^15",[553,"^U",498,536870919]],["^15",[553,"^U",502,536870919]],["^15",[553,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/920559641514082374)","^1H",["^1:",["2021-12-15"]]],536870919]],["^15",[553,"^J",["^1G","^1H"],536870919]],["^15",[553,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/920559641514082374)","^1H","[[2021-12-15]]"],536870919]],["^15",[553,"^H",478,536870919]],["^15",[553,"^H",498,536870919]],["^15",[553,"^H",502,536870919]],["^15",[553,"^;","~u686c5fe9-3c08-4a67-b7c7-117cbaa23299",536870919]],["^15",[554,"^Q","**List all the pages updated in the last 3 days**",536870919]],["^15",[554,"^O","^16",536870919]],["^15",[554,"^F",603,536870919]],["^15",[554,"^X",483,536870919]],["^15",[554,"^V",603,536870919]],["^15",[554,"^U",483,536870919]],["^15",[554,"^;","~u686c5fe9-9a0f-44cc-9eb9-2166fc81cc48",536870919]],["^15",[555,"^Q","#+BEGIN_QUERY\n{:title \"Give me a random page!!!\"\n :query [:find ?name\n         :where\n         [?b :block/name ?name]]\n :result-transform (fn [result]\n                     [(rand-nth result)])\n:view (fn [result]\n       [:div.flex.flex-col\n        (for [page result]\n          [:a {:href (str \"/#/page/\" page)} (clojure.string/capitalize page)])])\n :collapsed? true}\n#+END_QUERY",536870919]],["^15",[555,"^O","^16",536870919]],["^15",[555,"^F",566,536870919]],["^15",[555,"^X",483,536870919]],["^15",[555,"^V",566,536870919]],["^15",[555,"^U",475,536870919]],["^15",[555,"^U",483,536870919]],["^15",[555,"^U",498,536870919]],["^15",[555,"^U",502,536870919]],["^15",[555,"^;","~u686c5fe9-7912-442e-a3dc-e00166bf6c97",536870919]],["^15",[556,"^Q","[link: Domain modelling with datalog - talk by Norbert Wojtowicz](https://youtu.be/oo-7mN9WXTw)",536870919]],["^15",[556,"^O","^16",536870919]],["^15",[556,"^F",532,536870919]],["^15",[556,"^X",483,536870919]],["^15",[556,"^V",589,536870919]],["^15",[556,"^U",483,536870919]],["^15",[556,"^;","~u686c5fe9-3677-47a1-8ddd-79269d047a6b",536870919]],["^15",[557,"^Q","[link: Hiccup syntax](https://github.com/weavejester/hiccup/wiki/Syntax)",536870919]],["^15",[557,"^O","^16",536870919]],["^15",[557,"^F",582,536870919]],["^15",[557,"^X",483,536870919]],["^15",[557,"^V",589,536870919]],["^15",[557,"^U",483,536870919]],["^15",[557,"^;","~u686c5fe9-508a-464a-b255-a89ff28dd060",536870919]],["^15",[558,"^Q","query-properties:: [:page :created-at]\n#+BEGIN_QUERY\n{:title \"Pages in last 2 days\"\n:query [:find (pull ?p [*])\n            :in $ ?today\n            :where \n            [?p :block/created-at ?d]\n            [(- ?today 172800000) ?start]\n            [(>= ?d ?start)]\n            [(<= ?d ?today)]\n    ]\n:inputs [:right-now-ms]}\n#+END_QUERY",536870919]],["^15",[558,"^O","^16",536870919]],["^15",[558,"^F",553,536870919]],["^15",[558,"^X",483,536870919]],["^15",[558,"^V",553,536870919]],["^15",[558,"^U",478,536870919]],["^15",[558,"^U",483,536870919]],["^15",[558,"^U",498,536870919]],["^15",[558,"^U",502,536870919]],["^15",[558,"^?",["^ ","^1I","[:page :created-at]"],536870919]],["^15",[558,"^J",["^1I"],536870919]],["^15",[558,"^4",["^ ","^1I","[:page :created-at]"],536870919]],["^15",[558,"^;","~u686c5fe9-80ec-451b-8400-e39dc9a154ea",536870919]],["^15",[559,"^M",true,536870919]],["^15",[559,"^Q","query-table:: false\ncollapsed:: true\n#+BEGIN_QUERY\n{:title \"🟢 DOING\"\n    :query [:find (pull ?b [*])\n        :where\n          [?b :block/marker ?marker]\n          [(contains? #{\"NOW\" \"DOING\"} ?marker)]]\n:breadcrumb-show? false\n :result-transform (fn [result]\n \t\t(sort-by (fn [h]\n     \t(get h :block/priority \"Z\"))\n       result))\n    :collapsed? true}\n#+END_QUERY",536870919]],["^15",[559,"^O","^16",536870919]],["^15",[559,"^F",528,536870919]],["^15",[559,"^X",483,536870919]],["^15",[559,"^V",528,536870919]],["^15",[559,"^U",481,536870919]],["^15",[559,"^U",483,536870919]],["^15",[559,"^U",498,536870919]],["^15",[559,"^U",502,536870919]],["^15",[559,"^?",["^ ","^1>",false],536870919]],["^15",[559,"^J",["^1>"],536870919]],["^15",[559,"^4",["^ ","^1>","false"],536870919]],["^15",[559,"^;","~u686c5fe9-183f-4789-ab35-851a7443ddfb",536870919]],["^15",[560,"^M",true,536870919]],["^15",[560,"^Q","**Search by block uuid**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868359519678398504)\ndate:: [[2021-07-24]]\ncollapsed:: true",536870919]],["^15",[560,"^O","^16",536870919]],["^15",[560,"^F",566,536870919]],["^15",[560,"^X",483,536870919]],["^15",[560,"^V",577,536870919]],["^15",[560,"^U",483,536870919]],["^15",[560,"^U",498,536870919]],["^15",[560,"^U",502,536870919]],["^15",[560,"^U",507,536870919]],["^15",[560,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/868359519678398504)","^1H",["^1:",["2021-07-24"]]],536870919]],["^15",[560,"^J",["^1G","^1H"],536870919]],["^15",[560,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/868359519678398504)","^1H","[[2021-07-24]]"],536870919]],["^15",[560,"^H",498,536870919]],["^15",[560,"^H",502,536870919]],["^15",[560,"^H",507,536870919]],["^15",[560,"^;","~u686c5fe9-a2f5-4875-997d-6b9c2649a746",536870919]],["^15",[561,"^Q","d is used to indicate a day. 0d means 0 days or today. \nThink of it this way:\nBetween  -0d and ++0d",536870919]],["^15",[561,"^O","^16",536870919]],["^15",[561,"^F",539,536870919]],["^15",[561,"^X",483,536870919]],["^15",[561,"^V",611,536870919]],["^15",[561,"^U",483,536870919]],["^15",[561,"^U",498,536870919]],["^15",[561,"^U",501,536870919]],["^15",[561,"^U",502,536870919]],["^15",[561,"^;","~u686c5fe9-4bb0-4872-90c6-7944adf88ae5",536870919]],["^15",[562,"^Q","How would you query for all TODO blocks that are tagged or recursively related to ancestor block/page that is tagged with a specific tag? For example, I want all TODO tasks that are tagged as clojure or contained under blocks or pages (in any indentation depth) that are tagged clojure. That way I can see all the clojure related articles I haven't read yet, without having to tag them all explicitly.\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/825074937651396678)",536870919]],["^15",[562,"^O","^16",536870919]],["^15",[562,"^F",609,536870919]],["^15",[562,"^X",483,536870919]],["^15",[562,"^V",609,536870919]],["^15",[562,"^U",483,536870919]],["^15",[562,"^U",487,536870919]],["^15",[562,"^U",498,536870919]],["^15",[562,"^U",502,536870919]],["^15",[562,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/825074937651396678)"],536870919]],["^15",[562,"^J",["^1G"],536870919]],["^15",[562,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/825074937651396678)"],536870919]],["^15",[562,"^H",498,536870919]],["^15",[562,"^;","~u686c5fe9-a28b-4718-9a42-465535788bb2",536870919]],["^15",[563,"^Q","query-sort-by:: page\nquery-table:: true\nquery-sort-desc:: false\nquery-properties:: [:page :block]\n#+BEGIN_QUERY\n{:title [:h3 \"Updated in last 3 days\"]\n :query [:find (pull ?page [*])\n:in $ ?end\n:where\n[?b :block/updated-at ?v]\n[(- ?end 259200000 ) ?period]\n[(>= ?v ?period)]\n[(< ?v ?end)]\n[?page :block/page ?b]\n]\n; :inputs [:start-of-today-ms]\n; :inputs [:right-now-ms]\n:inputs [:end-of-today-ms]\n}\n#+END_QUERY",536870919]],["^15",[563,"^O","^16",536870919]],["^15",[563,"^F",578,536870919]],["^15",[563,"^X",483,536870919]],["^15",[563,"^V",554,536870919]],["^15",[563,"^U",483,536870919]],["^15",[563,"^?",["^ ","^1?","page","^1>",true,"^1@",false,"^1I","[:page :block]"],536870919]],["^15",[563,"^J",["^1?","^1>","^1@","^1I"],536870919]],["^15",[563,"^4",["^ ","^1?","page","^1>","true","^1@","false","^1I","[:page :block]"],536870919]],["^15",[563,"^;","~u686c5fe9-d65e-4a82-95b3-e83a2d3c38cb",536870919]],["^15",[564,"^Q","[link: Learn datalog today](http://www.learndatalogtoday.org)",536870919]],["^15",[564,"^O","^16",536870919]],["^15",[564,"^F",600,536870919]],["^15",[564,"^X",483,536870919]],["^15",[564,"^V",589,536870919]],["^15",[564,"^U",483,536870919]],["^15",[564,"^;","~u686c5fe9-b8bb-49ac-94a8-f5eaf1d23b84",536870919]],["^15",[565,"^Q","Hey, I try to find Schedules or Due dates that are in-between specific dates, but whenever they contain a marker (TODO, NOW, ...) they should only show if that marker is not completed. Unfortunately, I'm not familiar with Datomic or Clojure at all..\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/826412758438248458)",536870919]],["^15",[565,"^O","^16",536870919]],["^15",[565,"^F",572,536870919]],["^15",[565,"^X",483,536870919]],["^15",[565,"^V",572,536870919]],["^15",[565,"^U",483,536870919]],["^15",[565,"^U",498,536870919]],["^15",[565,"^U",502,536870919]],["^15",[565,"^U",510,536870919]],["^15",[565,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/826412758438248458)"],536870919]],["^15",[565,"^J",["^1G"],536870919]],["^15",[565,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/826412758438248458)"],536870919]],["^15",[565,"^H",498,536870919]],["^15",[565,"^;","~u686c5fe9-78a3-41d4-90c3-b8b375b73cfc",536870919]],["^15",[566,"^M",true,536870919]],["^15",[566,"^Q","**Query to show a random page**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/867375290396311633)\ndate:: [[2021-07-21]]\ncollapsed:: true",536870919]],["^15",[566,"^O","^16",536870919]],["^15",[566,"^F",540,536870919]],["^15",[566,"^X",483,536870919]],["^15",[566,"^V",577,536870919]],["^15",[566,"^U",475,536870919]],["^15",[566,"^U",483,536870919]],["^15",[566,"^U",498,536870919]],["^15",[566,"^U",502,536870919]],["^15",[566,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/867375290396311633)","^1H",["^1:",["2021-07-21"]]],536870919]],["^15",[566,"^J",["^1G","^1H"],536870919]],["^15",[566,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/867375290396311633)","^1H","[[2021-07-21]]"],536870919]],["^15",[566,"^H",475,536870919]],["^15",[566,"^H",498,536870919]],["^15",[566,"^H",502,536870919]],["^15",[566,"^;","~u686c5fe9-e609-4028-9547-677220eeb66f",536870919]],["^15",[567,"^Q","query-table:: false\n#+BEGIN_QUERY\n{:title \"Orphan pages\"\n :query [:find ?name\n         :where\n         [?p :page/name ?name]\n         (not\n          [?b :block/ref-pages ?p1]\n          [?b :block/page ?p2]\n          (or [?p1 :page/name ?name]\n              [?p2 :page/name ?name]))]\n :view (fn [result]\n         [:div.flex.flex-col\n          (for [page result]\n            [:a {:href (str \"/page/\" page)} (clojure.string/capitalize page)])])\n:collapsed? true}\n#+END_QUERY",536870919]],["^15",[567,"^O","^16",536870919]],["^15",[567,"^F",534,536870919]],["^15",[567,"^X",483,536870919]],["^15",[567,"^V",534,536870919]],["^15",[567,"^U",483,536870919]],["^15",[567,"^U",498,536870919]],["^15",[567,"^U",500,536870919]],["^15",[567,"^U",502,536870919]],["^15",[567,"^?",["^ ","^1>",false],536870919]],["^15",[567,"^J",["^1>"],536870919]],["^15",[567,"^4",["^ ","^1>","false"],536870919]],["^15",[567,"^;","~u686c5fe9-602b-4f29-b2ad-b00cca942119",536870919]],["^15",[568,"^Q","#+BEGIN_QUERY\n  {:title \"Find: Follow-up Tasks\"\n  :query [:find (pull ?b [*])\n  :where\n     [?p :block/content \"Follow-up\"]\n     [?b :block/parent ?p]\n     [?b :block/marker ?marker]\n     [(contains? #{\"TODO\" \"DOING\" \"DONE\"} ?marker)]]\n}\n  #+END_QUERY",536870919]],["^15",[568,"^O","^16",536870919]],["^15",[568,"^F",544,536870919]],["^15",[568,"^X",483,536870919]],["^15",[568,"^V",522,536870919]],["^15",[568,"^U",476,536870919]],["^15",[568,"^U",483,536870919]],["^15",[568,"^U",498,536870919]],["^15",[568,"^U",502,536870919]],["^15",[568,"^;","~u686c5fe9-98f1-40cb-a896-c98ed3866063",536870919]],["^15",[569,"^Q","#+BEGIN_QUERY\n{:title \"All todos that with priority A\"\n :query [:find (pull ?b [*])\n       :where\n       [?b :block/priority \"A\"]]}\n#+END_QUERY",536870919]],["^15",[569,"^O","^16",536870919]],["^15",[569,"^F",588,536870919]],["^15",[569,"^X",483,536870919]],["^15",[569,"^V",588,536870919]],["^15",[569,"^U",483,536870919]],["^15",[569,"^U",486,536870919]],["^15",[569,"^U",498,536870919]],["^15",[569,"^U",502,536870919]],["^15",[569,"^;","~u686c5fe9-8d4b-4134-8cd2-62fef9cd2e9b",536870919]],["^15",[570,"^Q","#+BEGIN_QUERY\n{:query [:find (pull ?b [*])\n :where\n [?b :block/marker ?m]\n [(contains? #{\"TODO\" \"LATER\"} ?m)]\n [(missing? $ ?b :block/scheduled)]\n [(missing? $ ?b :block/deadline)] ] }\n#+END_QUERY",536870919]],["^15",[570,"^O","^16",536870919]],["^15",[570,"^F",531,536870919]],["^15",[570,"^X",483,536870919]],["^15",[570,"^V",531,536870919]],["^15",[570,"^U",483,536870919]],["^15",[570,"^U",491,536870919]],["^15",[570,"^U",498,536870919]],["^15",[570,"^U",502,536870919]],["^15",[570,"^;","~u686c5fe9-9f93-42dc-bcfc-74131986b963",536870919]],["^15",[571,"^M",true,536870919]],["^15",[571,"^Q","**Query snippet to grab the children blocks**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/901520859779461170)\ndate:: [[2021-10-23]]\ncollapsed:: true",536870919]],["^15",[571,"^O","^16",536870919]],["^15",[571,"^F",588,536870919]],["^15",[571,"^X",483,536870919]],["^15",[571,"^V",577,536870919]],["^15",[571,"^U",483,536870919]],["^15",[571,"^U",489,536870919]],["^15",[571,"^U",498,536870919]],["^15",[571,"^U",502,536870919]],["^15",[571,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/901520859779461170)","^1H",["^1:",["2021-10-23"]]],536870919]],["^15",[571,"^J",["^1G","^1H"],536870919]],["^15",[571,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/901520859779461170)","^1H","[[2021-10-23]]"],536870919]],["^15",[571,"^H",489,536870919]],["^15",[571,"^H",498,536870919]],["^15",[571,"^H",502,536870919]],["^15",[571,"^;","~u686c5fe9-d9fe-4d90-912b-9c8698862028",536870919]],["^15",[572,"^M",true,536870919]],["^15",[572,"^Q","**Scheduled items and deadlines from the past week**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/827098887826964490)\ndate:: [[2021-04-01]]\ncollapsed:: true",536870919]],["^15",[572,"^O","^16",536870919]],["^15",[572,"^F",609,536870919]],["^15",[572,"^X",483,536870919]],["^15",[572,"^V",577,536870919]],["^15",[572,"^U",483,536870919]],["^15",[572,"^U",498,536870919]],["^15",[572,"^U",502,536870919]],["^15",[572,"^U",510,536870919]],["^15",[572,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/827098887826964490)","^1H",["^1:",["2021-04-01"]]],536870919]],["^15",[572,"^J",["^1G","^1H"],536870919]],["^15",[572,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/827098887826964490)","^1H","[[2021-04-01]]"],536870919]],["^15",[572,"^H",498,536870919]],["^15",[572,"^H",502,536870919]],["^15",[572,"^H",510,536870919]],["^15",[572,"^;","~u686c5fe9-36dd-4971-b227-16c2de001a9a",536870919]],["^15",[573,"^M",true,536870919]],["^15",[573,"^Q","**Current NOW and DOING tasks for pages tagged with \"project\"**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/879621160860532766)\ndate:: [[2021-08-24]]\ncollapsed:: true",536870919]],["^15",[573,"^O","^16",536870919]],["^15",[573,"^F",520,536870919]],["^15",[573,"^X",483,536870919]],["^15",[573,"^V",577,536870919]],["^15",[573,"^U",483,536870919]],["^15",[573,"^U",493,536870919]],["^15",[573,"^U",498,536870919]],["^15",[573,"^U",502,536870919]],["^15",[573,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/879621160860532766)","^1H",["^1:",["2021-08-24"]]],536870919]],["^15",[573,"^J",["^1G","^1H"],536870919]],["^15",[573,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/879621160860532766)","^1H","[[2021-08-24]]"],536870919]],["^15",[573,"^H",493,536870919]],["^15",[573,"^H",498,536870919]],["^15",[573,"^H",502,536870919]],["^15",[573,"^;","~u686c5fe9-6b72-4cf6-96b8-488eb52e6cf1",536870919]],["^15",[574,"^Q","[link: Logseq datascript schema](https://gist.github.com/tiensonqin/9a40575827f8f63eec54432443ecb929)",536870919]],["^15",[574,"^O","^16",536870919]],["^15",[574,"^F",551,536870919]],["^15",[574,"^X",483,536870919]],["^15",[574,"^V",589,536870919]],["^15",[574,"^U",483,536870919]],["^15",[574,"^;","~u686c5fe9-5dee-49ae-bf5a-a83ef509b543",536870919]],["^15",[575,"^Q","DONE Check query with task and property.\ntype:: example",536870919]],["^15",[575,"^O","^16",536870919]],["^15",[575,"^F",580,536870919]],["^15",[575,"^10","DONE",536870919]],["^15",[575,"^X",483,536870919]],["^15",[575,"^V",547,536870919]],["^15",[575,"^U",7,536870919]],["^15",[575,"^U",483,536870919]],["^15",[575,"^U",484,536870919]],["^15",[575,"^U",498,536870919]],["^15",[575,"^U",499,536870919]],["^15",[575,"^U",502,536870919]],["^15",[575,"^?",["^ ","~:type","example"],536870919]],["^15",[575,"^J",["^1J"],536870919]],["^15",[575,"^4",["^ ","^1J","example"],536870919]],["^15",[575,"^H",7,536870919]],["^15",[575,"^H",499,536870919]],["^15",[575,"^;","~u686c5fe9-8725-47ca-9343-c377385f63f0",536870919]],["^15",[576,"^M",true,536870919]],["^15",[576,"^Q","**List all projects (type:: project) that do not have any TODOs on their pages**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/891274363062599702)\ndate:: [[2021-09-25]]\ncollapsed:: true",536870919]],["^15",[576,"^O","^16",536870919]],["^15",[576,"^F",547,536870919]],["^15",[576,"^X",483,536870919]],["^15",[576,"^V",577,536870919]],["^15",[576,"^U",483,536870919]],["^15",[576,"^U",492,536870919]],["^15",[576,"^U",498,536870919]],["^15",[576,"^U",502,536870919]],["^15",[576,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/891274363062599702)","^1H",["^1:",["2021-09-25"]]],536870919]],["^15",[576,"^J",["^1G","^1H"],536870919]],["^15",[576,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/891274363062599702)","^1H","[[2021-09-25]]"],536870919]],["^15",[576,"^H",492,536870919]],["^15",[576,"^H",498,536870919]],["^15",[576,"^H",502,536870919]],["^15",[576,"^;","~u686c5fe9-565a-4536-a35e-4bb71cc66603",536870919]],["^15",[577,"^Q","### Queries",536870919]],["^15",[577,"^O","^16",536870919]],["^15",[577,"^F",607,536870919]],["^15",[577,"^X",483,536870919]],["^15",[577,"^V",483,536870919]],["^15",[577,"^U",483,536870919]],["^15",[577,"^?",["^ ","^1;",3],536870919]],["^15",[577,"^J",[],536870919]],["^15",[577,"^;","~u686c5fe9-f86e-4574-9a76-730f8cab3e0b",536870919]],["^15",[578,"^Q","See also:",536870919]],["^15",[578,"^O","^16",536870919]],["^15",[578,"^F",554,536870919]],["^15",[578,"^X",483,536870919]],["^15",[578,"^V",554,536870919]],["^15",[578,"^U",483,536870919]],["^15",[578,"^;","~u686c5fe9-8327-44ad-b9ae-708f1cc26e7e",536870919]],["^15",[579,"^Q","**Query to create a table from \"birthday\" property of a page**\nid:: 61db1cf4-95f0-458b-97b9-a42f02c9ce12\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/924614606842904577)\ndate:: [[2021-12-26]]",536870919]],["^15",[579,"^O","^16",536870919]],["^15",[579,"^F",526,536870919]],["^15",[579,"^X",483,536870919]],["^15",[579,"^V",577,536870919]],["^15",[579,"^U",483,536870919]],["^15",[579,"^U",485,536870919]],["^15",[579,"^U",498,536870919]],["^15",[579,"^U",502,536870919]],["^15",[579,"^?",["^ ","^1D","61db1cf4-95f0-458b-97b9-a42f02c9ce12","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/924614606842904577)","^1H",["^1:",["2021-12-26"]]],536870919]],["^15",[579,"^J",["^1D","^1G","^1H"],536870919]],["^15",[579,"^4",["^ ","^1D","61db1cf4-95f0-458b-97b9-a42f02c9ce12","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/924614606842904577)","^1H","[[2021-12-26]]"],536870919]],["^15",[579,"^H",485,536870919]],["^15",[579,"^H",498,536870919]],["^15",[579,"^H",502,536870919]],["^15",[579,"^;","~u61db1cf4-95f0-458b-97b9-a42f02c9ce12",536870919]],["^15",[580,"^Q","#+BEGIN_QUERY\n{:title \"My TASKS (type: example)\"\n:query [:find (pull ?b [*])\n:where\n[?b :block/marker ?marker]\n[(contains? #{\"DONE\"} ?marker)]\n[?b :block/properties ?prop]\n[(get ?prop :type) ?type]\n[(= \"example\" ?type)]\n]\n:collapsed? false}\n#+END_QUERY",536870919]],["^15",[580,"^O","^16",536870919]],["^15",[580,"^F",547,536870919]],["^15",[580,"^X",483,536870919]],["^15",[580,"^V",547,536870919]],["^15",[580,"^U",483,536870919]],["^15",[580,"^U",484,536870919]],["^15",[580,"^U",498,536870919]],["^15",[580,"^U",502,536870919]],["^15",[580,"^;","~u686c5fe9-17dd-48f5-bc26-25052467c911",536870919]],["^15",[581,"^M",true,536870919]],["^15",[581,"^Q","**Search for a keyword within a specific set of pages**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868531920923918356), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868600535694082049)\ndate:: [[2021-07-24]]\ncollapsed:: true",536870919]],["^15",[581,"^O","^16",536870919]],["^15",[581,"^F",602,536870919]],["^15",[581,"^X",483,536870919]],["^15",[581,"^V",577,536870919]],["^15",[581,"^U",483,536870919]],["^15",[581,"^U",498,536870919]],["^15",[581,"^U",502,536870919]],["^15",[581,"^U",507,536870919]],["^15",[581,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/868531920923918356), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868600535694082049)","^1H",["^1:",["2021-07-24"]]],536870919]],["^15",[581,"^J",["^1G","^1H"],536870919]],["^15",[581,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/868531920923918356), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868600535694082049)","^1H","[[2021-07-24]]"],536870919]],["^15",[581,"^H",498,536870919]],["^15",[581,"^H",502,536870919]],["^15",[581,"^H",507,536870919]],["^15",[581,"^;","~u686c5fe9-f1e5-43dd-9bf2-1ad05cbe5e49",536870919]],["^15",[582,"^Q","[link: ClojureScript Cheatsheet](https://cljs.info/cheatsheet/)",536870919]],["^15",[582,"^O","^16",536870919]],["^15",[582,"^F",619,536870919]],["^15",[582,"^X",483,536870919]],["^15",[582,"^V",589,536870919]],["^15",[582,"^U",483,536870919]],["^15",[582,"^;","~u686c5fe9-223e-4f42-93cc-bfef1daf1011",536870919]],["^15",[583,"^Q","#+BEGIN_QUERY\n{:query[:find (pull ?p [*]) \n  :where\n  [?b :block/page ?p]\n  [?p :block/properties ?props]\n  [(get ?props :type) ?type]\n  [(= ?type \"project\")]\n  (not-join [?p]\n    [?b :block/page ?p]\n    [?b :block/marker _]) ]}\n#+END_QUERY",536870919]],["^15",[583,"^O","^16",536870919]],["^15",[583,"^F",576,536870919]],["^15",[583,"^X",483,536870919]],["^15",[583,"^V",576,536870919]],["^15",[583,"^U",483,536870919]],["^15",[583,"^U",492,536870919]],["^15",[583,"^U",498,536870919]],["^15",[583,"^U",502,536870919]],["^15",[583,"^;","~u686c5fe9-ff28-451f-be70-590793ec9e69",536870919]],["^15",[584,"^Q","The time entered in the Unix time stamp (see https://www.unixtimestamp.com) which is the number of milliseconds since Jan 1st 1970.\nquery-properties:: [:page :updated-at]",536870919]],["^15",[584,"^O","^16",536870919]],["^15",[584,"^F",546,536870919]],["^15",[584,"^X",483,536870919]],["^15",[584,"^V",546,536870919]],["^15",[584,"^U",483,536870919]],["^15",[584,"^U",490,536870919]],["^15",[584,"^U",498,536870919]],["^15",[584,"^U",502,536870919]],["^15",[584,"^U",508,536870919]],["^15",[584,"^?",["^ ","^1I","[:page :updated-at]"],536870919]],["^15",[584,"^J",["^1I"],536870919]],["^15",[584,"^4",["^ ","^1I","[:page :updated-at]"],536870919]],["^15",[584,"^;","~u686c5fe9-40e6-4a3b-aa09-7ef9dc049281",536870919]],["^15",[585,"^Q","query-table:: false\n#+BEGIN_QUERY \n{:title \"TODO by page\"\n  :query     [:find (pull ?b [:block/marker :block/parent {:block/page\n     [:db/id :block/name]}])\n  :where\n           [?b :block/marker ?marker]\n           [(= \"TODO\" ?marker)] \n  ]\n:result-transform (fn [result]\n                        (map (fn [[key value]] {:page (get key :block/name) :count (count value)}) (group-by :block/page result))\n                )\n:view (fn [rows] [:table \n [:thead \n  [:tr \n   [:th \"Page\"] \n   [:th \"Count\"] ] ] \n [:tbody \n(for [r rows] [:tr \n   [:td [:a {:href (str \"#/page/\" (get r :page))} (get r :page)] ] \n   [:td (get r :count)] ])\n   ]]\n)\n}\n#+END_QUERY",536870919]],["^15",[585,"^O","^16",536870919]],["^15",[585,"^F",543,536870919]],["^15",[585,"^X",483,536870919]],["^15",[585,"^V",543,536870919]],["^15",[585,"^U",483,536870919]],["^15",[585,"^U",498,536870919]],["^15",[585,"^U",502,536870919]],["^15",[585,"^U",505,536870919]],["^15",[585,"^?",["^ ","^1>",false],536870919]],["^15",[585,"^J",["^1>"],536870919]],["^15",[585,"^4",["^ ","^1>","false"],536870919]],["^15",[585,"^;","~u686c5fe9-7eaa-4059-abe4-0cdd10d0d5ae",536870919]],["^15",[586,"^Q","[link: Advanced queries tutorial](https://mschmidtkorth.github.io/logseq-msk-docs/#/page/advanced%20queries%20tutorial)",536870919]],["^15",[586,"^O","^16",536870919]],["^15",[586,"^F",527,536870919]],["^15",[586,"^X",483,536870919]],["^15",[586,"^V",589,536870919]],["^15",[586,"^U",483,536870919]],["^15",[586,"^;","~u686c5fe9-69aa-4ad0-84ee-47074dc01681",536870919]],["^15",[587,"^M",true,536870919]],["^15",[587,"^Q","**Query for non-task blocks with a schedule/deadline in the past**\ncollapsed:: true\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/905889607705575434)\ndate:: [[2021-11-04]]",536870919]],["^15",[587,"^O","^16",536870919]],["^15",[587,"^F",571,536870919]],["^15",[587,"^X",483,536870919]],["^15",[587,"^V",577,536870919]],["^15",[587,"^U",483,536870919]],["^15",[587,"^U",494,536870919]],["^15",[587,"^U",498,536870919]],["^15",[587,"^U",502,536870919]],["^15",[587,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/905889607705575434)","^1H",["^1:",["2021-11-04"]]],536870919]],["^15",[587,"^J",["^1G","^1H"],536870919]],["^15",[587,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/905889607705575434)","^1H","[[2021-11-04]]"],536870919]],["^15",[587,"^H",494,536870919]],["^15",[587,"^H",498,536870919]],["^15",[587,"^H",502,536870919]],["^15",[587,"^;","~u686c5fe9-5523-4cdb-92d0-b287a2a3e4f1",536870919]],["^15",[588,"^M",true,536870919]],["^15",[588,"^Q","**All tasks with priority A**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/898234502890004532)\ndate:: [[2021-10-14]]\ncollapsed:: true",536870919]],["^15",[588,"^O","^16",536870919]],["^15",[588,"^F",608,536870919]],["^15",[588,"^X",483,536870919]],["^15",[588,"^V",577,536870919]],["^15",[588,"^U",483,536870919]],["^15",[588,"^U",486,536870919]],["^15",[588,"^U",498,536870919]],["^15",[588,"^U",502,536870919]],["^15",[588,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/898234502890004532)","^1H",["^1:",["2021-10-14"]]],536870919]],["^15",[588,"^J",["^1G","^1H"],536870919]],["^15",[588,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/898234502890004532)","^1H","[[2021-10-14]]"],536870919]],["^15",[588,"^H",486,536870919]],["^15",[588,"^H",498,536870919]],["^15",[588,"^H",502,536870919]],["^15",[588,"^;","~u686c5fe9-455a-4057-aea0-99d4d3c33bd6",536870919]],["^15",[589,"^Q","### Resources",536870919]],["^15",[589,"^O","^16",536870919]],["^15",[589,"^F",530,536870919]],["^15",[589,"^X",483,536870919]],["^15",[589,"^V",483,536870919]],["^15",[589,"^U",483,536870919]],["^15",[589,"^?",["^ ","^1;",3],536870919]],["^15",[589,"^J",[],536870919]],["^15",[589,"^;","~u686c5fe9-6b93-415b-9897-867301a36914",536870919]],["^15",[590,"^Q","query-table:: false\nquery-properties:: [:alias :birthday]\n#+BEGIN_QUERY\n{\n :query [:find (pull ?b [*])\n      :where\n      [?b :block/properties ?bprops]\n      [(get ?bprops :birthday \"nil\") ?bs]\n      [(not= ?bs \"nil\")]]\n:result-transform (fn [result]\n    (sort-by (fn [h]\n      (get-in h [:block/properties :verjaardag])) result))\n}\n#+END_QUERY",536870919]],["^15",[590,"^O","^16",536870919]],["^15",[590,"^F",579,536870919]],["^15",[590,"^X",483,536870919]],["^15",[590,"^V",579,536870919]],["^15",[590,"^U",483,536870919]],["^15",[590,"^U",485,536870919]],["^15",[590,"^U",498,536870919]],["^15",[590,"^U",502,536870919]],["^15",[590,"^?",["^ ","^1>",false,"^1I","[:alias :birthday]"],536870919]],["^15",[590,"^J",["^1>","^1I"],536870919]],["^15",[590,"^4",["^ ","^1>","false","^1I","[:alias :birthday]"],536870919]],["^15",[590,"^;","~u686c5fe9-3cbd-408a-b9b5-c60a8f145f8c",536870919]],["^15",[591,"^Q","#+BEGIN_QUERY\n{:title \"🔨 Project Now\"\n    :query [:find (pull ?h [*])\n        :in $ ?searchterm\n        :where\n        [?h :block/marker ?marker]\n        [(contains? #{\"NOW\" \"DOING\"} ?marker)]\n        [?p :block/properties ?a]\n        [(get ?a :type) ?t]\n        [(= ?searchterm ?t)]\n        [?br :block/name ?searchterm]\n        (or [?h :block/page ?p]\n            [?h :block/refs ?br])\n        ]\n    :inputs [\"project\"]\n    :result-transform (fn [result]\n        (sort-by (fn [h]\n            (get h :block/priority \"Z\")) result))\n    :collapsed? false}\n#+END_QUERY",536870919]],["^15",[591,"^O","^16",536870919]],["^15",[591,"^F",573,536870919]],["^15",[591,"^X",483,536870919]],["^15",[591,"^V",573,536870919]],["^15",[591,"^U",483,536870919]],["^15",[591,"^U",493,536870919]],["^15",[591,"^U",498,536870919]],["^15",[591,"^U",502,536870919]],["^15",[591,"^;","~u686c5fe9-dc85-4173-8f13-b2d6bc3e00fd",536870919]],["^15",[592,"^Q","Replace `(pull ?h [*])` with:",536870919]],["^15",[592,"^O","^16",536870919]],["^15",[592,"^F",571,536870919]],["^15",[592,"^X",483,536870919]],["^15",[592,"^V",571,536870919]],["^15",[592,"^U",483,536870919]],["^15",[592,"^U",489,536870919]],["^15",[592,"^U",498,536870919]],["^15",[592,"^U",502,536870919]],["^15",[592,"^;","~u686c5fe9-a64f-41d9-8de1-031c473e1a10",536870919]],["^15",[593,"^Q","We may have to multiply with 1000 to get the result in milliseconds, if using the above site.",536870919]],["^15",[593,"^O","^16",536870919]],["^15",[593,"^F",584,536870919]],["^15",[593,"^X",483,536870919]],["^15",[593,"^V",546,536870919]],["^15",[593,"^U",483,536870919]],["^15",[593,"^U",490,536870919]],["^15",[593,"^U",498,536870919]],["^15",[593,"^U",502,536870919]],["^15",[593,"^U",508,536870919]],["^15",[593,"^;","~u686c5fe9-cbe9-49a5-9cd6-f86b1b03798a",536870919]],["^15",[594,"^Q","query-table:: false\n#+BEGIN_QUERY \n{:title \"Old Blocks\"\n :query         [:find (pull ?b [*])\n                 :in $ ?start\n                 :where\n                 (or [?b :block/scheduled ?d]\n                     [?b :block/deadline ?d])\n                 [(< ?d ?start)]\n                 (not [?b :block/marker ?marker] \n                  [(contains? #{\"DONE\" \"CANCELED\"} ?marker)])]\n :inputs [:today]\n :collapsed? false}\n#+END_QUERY",536870919]],["^15",[594,"^O","^16",536870919]],["^15",[594,"^F",587,536870919]],["^15",[594,"^X",483,536870919]],["^15",[594,"^V",587,536870919]],["^15",[594,"^U",483,536870919]],["^15",[594,"^U",494,536870919]],["^15",[594,"^U",498,536870919]],["^15",[594,"^U",502,536870919]],["^15",[594,"^?",["^ ","^1>",false],536870919]],["^15",[594,"^J",["^1>"],536870919]],["^15",[594,"^4",["^ ","^1>","false"],536870919]],["^15",[594,"^;","~u686c5fe9-afbd-44e3-9384-1e5c8c867c1f",536870919]],["^15",[595,"^Q","Equivalent to `{{query \"Quantum mechanics\"}}`",536870919]],["^15",[595,"^O","^16",536870919]],["^15",[595,"^F",523,536870919]],["^15",[595,"^X",483,536870919]],["^15",[595,"^V",596,536870919]],["^15",[595,"^U",477,536870919]],["^15",[595,"^U",483,536870919]],["^15",[595,"^U",498,536870919]],["^15",[595,"^U",502,536870919]],["^15",[595,"^;","~u686c5fe9-5f4f-4e93-a06f-5c9db0ab185c",536870919]],["^15",[596,"^M",true,536870919]],["^15",[596,"^Q","**Query to search a textual input**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/821317203910721577)\ndate:: [[2021-03-16]]\ncollapsed:: true",536870919]],["^15",[596,"^O","^16",536870919]],["^15",[596,"^F",577,536870919]],["^15",[596,"^X",483,536870919]],["^15",[596,"^V",577,536870919]],["^15",[596,"^U",477,536870919]],["^15",[596,"^U",483,536870919]],["^15",[596,"^U",498,536870919]],["^15",[596,"^U",502,536870919]],["^15",[596,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/821317203910721577)","^1H",["^1:",["2021-03-16"]]],536870919]],["^15",[596,"^J",["^1G","^1H"],536870919]],["^15",[596,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/821317203910721577)","^1H","[[2021-03-16]]"],536870919]],["^15",[596,"^H",477,536870919]],["^15",[596,"^H",498,536870919]],["^15",[596,"^H",502,536870919]],["^15",[596,"^;","~u686c5fe9-f993-4815-8de8-2503ce415720",536870919]],["^15",[597,"^Q","~`172800000` is 2 days in ms.",536870919]],["^15",[597,"^O","^16",536870919]],["^15",[597,"^F",558,536870919]],["^15",[597,"^X",483,536870919]],["^15",[597,"^V",553,536870919]],["^15",[597,"^U",478,536870919]],["^15",[597,"^U",483,536870919]],["^15",[597,"^U",498,536870919]],["^15",[597,"^U",502,536870919]],["^15",[597,"^;","~u686c5fe9-e3f7-41d2-acbc-5e0744c5b8cf",536870919]],["^15",[598,"^M",true,536870919]],["^15",[598,"^Q","**List all the projects with page property \"status\" as [[Active]]**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/891910125667905546)\ndate:: [[2021-9-27]]\ncollapsed:: true",536870919]],["^15",[598,"^O","^16",536870919]],["^15",[598,"^F",576,536870919]],["^15",[598,"^X",483,536870919]],["^15",[598,"^V",577,536870919]],["^15",[598,"^U",483,536870919]],["^15",[598,"^U",498,536870919]],["^15",[598,"^U",502,536870919]],["^15",[598,"^U",503,536870919]],["^15",[598,"^U",504,536870919]],["^15",[598,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/891910125667905546)","^1H",["^1:",["2021-9-27"]]],536870919]],["^15",[598,"^J",["^1G","^1H"],536870919]],["^15",[598,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/891910125667905546)","^1H","[[2021-9-27]]"],536870919]],["^15",[598,"^H",498,536870919]],["^15",[598,"^H",502,536870919]],["^15",[598,"^H",503,536870919]],["^15",[598,"^H",504,536870919]],["^15",[598,"^;","~u686c5fe9-b8d5-43e5-89c7-431a9fad05f7",536870919]],["^15",[599,"^Q","#+BEGIN_QUERY\n{:title \"Main Tasks\"\n      :query [:find (pull ?b [*])\n              :where\n              [?b :block/marker ?marker]\n              [(missing? $ ?b :block/scheduled)]\n              [(missing? $ ?b :block/deadline)]\n              [(contains? #{\"LATER\" \"TODO\"} ?marker)]\n              (not [?b :block/path-refs [:block/name \"test\"]])\n              [?b :block/page ?page]\n              [?page :block/original-name ?name]\n              (not[(= ?name \"Journal reviews\")])]\n :breadcrumb-show? false\n :result-transform (fn [result]\n                        (sort-by (fn [h]\n                                   (get h :block/created-at)) result))\n:collapsed? true\n }\n#+END_QUERY",536870919]],["^15",[599,"^O","^16",536870919]],["^15",[599,"^F",552,536870919]],["^15",[599,"^X",483,536870919]],["^15",[599,"^V",537,536870919]],["^15",[599,"^U",480,536870919]],["^15",[599,"^U",483,536870919]],["^15",[599,"^U",498,536870919]],["^15",[599,"^U",502,536870919]],["^15",[599,"^U",504,536870919]],["^15",[599,"^;","~u686c5fe9-bbca-4776-a7cd-b0e32c854a9e",536870919]],["^15",[600,"^Q","[link: Athens Research ClojureFam](https://github.com/athensresearch/ClojureFam)",536870919]],["^15",[600,"^O","^16",536870919]],["^15",[600,"^F",556,536870919]],["^15",[600,"^X",483,536870919]],["^15",[600,"^V",589,536870919]],["^15",[600,"^U",483,536870919]],["^15",[600,"^;","~u686c5fe9-5335-4d10-8f74-807ee7b4fced",536870919]],["^15",[601,"^Q","= between today-1 and today+1\n= between yesterday and tommrow \n= today",536870919]],["^15",[601,"^O","^16",536870919]],["^15",[601,"^F",561,536870919]],["^15",[601,"^X",483,536870919]],["^15",[601,"^V",561,536870919]],["^15",[601,"^U",483,536870919]],["^15",[601,"^U",498,536870919]],["^15",[601,"^U",501,536870919]],["^15",[601,"^U",502,536870919]],["^15",[601,"^;","~u686c5fe9-b394-44a9-afa3-f13dd8c67055",536870919]],["^15",[602,"^M",true,536870919]],["^15",[602,"^Q","**Query backlog TODO and DOING tasks**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/868476460061577227)\ndate:: [[2021-07-24]]\ncollapsed:: true",536870919]],["^15",[602,"^O","^16",536870919]],["^15",[602,"^F",560,536870919]],["^15",[602,"^X",483,536870919]],["^15",[602,"^V",577,536870919]],["^15",[602,"^U",483,536870919]],["^15",[602,"^U",498,536870919]],["^15",[602,"^U",502,536870919]],["^15",[602,"^U",507,536870919]],["^15",[602,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/868476460061577227)","^1H",["^1:",["2021-07-24"]]],536870919]],["^15",[602,"^J",["^1G","^1H"],536870919]],["^15",[602,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/868476460061577227)","^1H","[[2021-07-24]]"],536870919]],["^15",[602,"^H",498,536870919]],["^15",[602,"^H",502,536870919]],["^15",[602,"^H",507,536870919]],["^15",[602,"^;","~u686c5fe9-925b-4c6f-8987-e10803f0924f",536870919]],["^15",[603,"^Q","### Own Querys",536870919]],["^15",[603,"^O","^16",536870919]],["^15",[603,"^F",589,536870919]],["^15",[603,"^X",483,536870919]],["^15",[603,"^V",483,536870919]],["^15",[603,"^U",483,536870919]],["^15",[603,"^?",["^ ","^1;",3],536870919]],["^15",[603,"^J",[],536870919]],["^15",[603,"^;","~u686c5fe9-f94b-4074-940e-50a296daa796",536870919]],["^15",[604,"^M",true,536870919]],["^15",[604,"^Q","**Find all TODO tasks outside of the journal pages**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/824060683947737138)\ndate:: [[2021-03-24]]\ncollapsed:: true",536870919]],["^15",[604,"^O","^16",536870919]],["^15",[604,"^F",596,536870919]],["^15",[604,"^X",483,536870919]],["^15",[604,"^V",577,536870919]],["^15",[604,"^U",479,536870919]],["^15",[604,"^U",483,536870919]],["^15",[604,"^U",498,536870919]],["^15",[604,"^U",502,536870919]],["^15",[604,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/824060683947737138)","^1H",["^1:",["2021-03-24"]]],536870919]],["^15",[604,"^J",["^1G","^1H"],536870919]],["^15",[604,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/824060683947737138)","^1H","[[2021-03-24]]"],536870919]],["^15",[604,"^H",479,536870919]],["^15",[604,"^H",498,536870919]],["^15",[604,"^H",502,536870919]],["^15",[604,"^;","~u686c5fe9-23d4-431f-bfc0-bedb5a107135",536870919]],["^15",[605,"^Q","[link: The first message on the datalog channel](https://discord.com/channels/725182569297215569/743139225746145311/743139795865174119)",536870919]],["^15",[605,"^O","^16",536870919]],["^15",[605,"^F",589,536870919]],["^15",[605,"^X",483,536870919]],["^15",[605,"^V",589,536870919]],["^15",[605,"^U",483,536870919]],["^15",[605,"^;","~u686c5fe9-780f-4c23-b1ba-56b7cef1f25a",536870919]],["^15",[606,"^Q","[link: Logseq frontend db model](https://github.com/logseq/logseq/blob/master/src/main/frontend/db/model.cljs)",536870919]],["^15",[606,"^O","^16",536870919]],["^15",[606,"^F",574,536870919]],["^15",[606,"^X",483,536870919]],["^15",[606,"^V",589,536870919]],["^15",[606,"^U",483,536870919]],["^15",[606,"^;","~u686c5fe9-f35e-4516-96b6-7c5caba57bd3",536870919]],["^15",[607,"^Q","",536870919]],["^15",[607,"^O","^16",536870919]],["^15",[607,"^F",603,536870919]],["^15",[607,"^X",483,536870919]],["^15",[607,"^V",483,536870919]],["^15",[607,"^U",483,536870919]],["^15",[607,"^;","~u686c5fe9-ef39-4719-a4e9-56713b35d115",536870919]],["^15",[608,"^M",true,536870919]],["^15",[608,"^Q","WAITING **Query all scheduled/deadlined tasks and sort them by scheduled or deadline date**\nSCHEDULED: <2022-01-30 Sun>\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/897615821688410114)\ndate:: [[2021-10-13]]\ncollapsed:: true",536870919]],["^15",[608,"^O","^16",536870919]],["^15",[608,"^F",537,536870919]],["^15",[608,"^10","WAITING",536870919]],["^15",[608,"^X",483,536870919]],["^15",[608,"^V",577,536870919]],["^15",[608,"^U",13,536870919]],["^15",[608,"^U",483,536870919]],["^15",[608,"^U",498,536870919]],["^15",[608,"^U",502,536870919]],["^15",[608,"^U",509,536870919]],["^15",[608,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/897615821688410114)","^1H",["^1:",["2021-10-13"]]],536870919]],["^15",[608,"^J",["^1G","^1H"],536870919]],["^15",[608,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/897615821688410114)","^1H","[[2021-10-13]]"],536870919]],["^15",[608,"^H",13,536870919]],["^15",[608,"^H",498,536870919]],["^15",[608,"^H",502,536870919]],["^15",[608,"^H",509,536870919]],["^15",[608,"^I",20220130,536870919]],["^15",[608,"^;","~u686c5fe9-6681-4b63-8e2e-41ae62161c13",536870919]],["^15",[609,"^M",true,536870919]],["^15",[609,"^Q","**All TODO blocks recursively related to a tag or page**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/825330146780381205)\ndate:: [[2021-03-27]]\ncollapsed:: true",536870919]],["^15",[609,"^O","^16",536870919]],["^15",[609,"^F",604,536870919]],["^15",[609,"^X",483,536870919]],["^15",[609,"^V",577,536870919]],["^15",[609,"^U",483,536870919]],["^15",[609,"^U",487,536870919]],["^15",[609,"^U",498,536870919]],["^15",[609,"^U",502,536870919]],["^15",[609,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/825330146780381205)","^1H",["^1:",["2021-03-27"]]],536870919]],["^15",[609,"^J",["^1G","^1H"],536870919]],["^15",[609,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/825330146780381205)","^1H","[[2021-03-27]]"],536870919]],["^15",[609,"^H",487,536870919]],["^15",[609,"^H",498,536870919]],["^15",[609,"^H",502,536870919]],["^15",[609,"^;","~u686c5fe9-a09a-4529-b95b-60685d2355a3",536870919]],["^15",[610,"^Q","~``` clojure\n#+BEGIN_QUERY\n(pull ?h [\n    :db/id\n    :block/uuid\n    :block/type\n    :block/left\n    :block/format\n    :block/title\n    :block/refs\n    :block/_refs\n    :block/path-refs\n    :block/tags\n    :block/content\n    :block/marker\n    :block/priority\n    :block/properties\n    :block/body\n    :block/pre-block?\n    :block/scheduled\n    :block/deadline\n    :block/repeated?\n    :block/created-at\n    :block/updated-at\n    :block/file\n    :block/parent\n    :block/unordered\n    :block/heading-level\n    {:block/page\n    [:db/id :block/name :block/original-name :block/journal-day]}\n    {:block/_parent ...}])\n\n```",536870919]],["^15",[610,"^O","^16",536870919]],["^15",[610,"^F",592,536870919]],["^15",[610,"^X",483,536870919]],["^15",[610,"^V",571,536870919]],["^15",[610,"^U",483,536870919]],["^15",[610,"^U",489,536870919]],["^15",[610,"^U",498,536870919]],["^15",[610,"^U",502,536870919]],["^15",[610,"^;","~u686c5fe9-4d50-4f9f-858b-9af03c1d2084",536870919]],["^15",[611,"^M",true,536870919]],["^15",[611,"^Q","**Simple query to finds all the tasks created today**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923276145321967676), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923282510283169812), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923486975552528424)\ndate:: [[2021-12-22]]\ncollapsed:: true",536870919]],["^15",[611,"^O","^16",536870919]],["^15",[611,"^F",543,536870919]],["^15",[611,"^X",483,536870919]],["^15",[611,"^V",577,536870919]],["^15",[611,"^U",483,536870919]],["^15",[611,"^U",498,536870919]],["^15",[611,"^U",501,536870919]],["^15",[611,"^U",502,536870919]],["^15",[611,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/923276145321967676), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923282510283169812), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923486975552528424)","^1H",["^1:",["2021-12-22"]]],536870919]],["^15",[611,"^J",["^1G","^1H"],536870919]],["^15",[611,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/923276145321967676), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923282510283169812), [Discord](https://discord.com/channels/725182569297215569/743139225746145311/923486975552528424)","^1H","[[2021-12-22]]"],536870919]],["^15",[611,"^H",498,536870919]],["^15",[611,"^H",501,536870919]],["^15",[611,"^H",502,536870919]],["^15",[611,"^;","~u686c5fe9-c5c1-4ec3-ab7d-8fee9b23e00d",536870919]],["^15",[612,"^M",true,536870919]],["^15",[612,"^Q","**Query to find tasks under a block containing the text \"Follow-up\"**\nlink:: [Discord](https://discord.com/channels/725182569297215569/743139225746145311/918847233586253906)\ndate:: [[2021-12-10]]\ncollapsed:: true",536870919]],["^15",[612,"^O","^16",536870919]],["^15",[612,"^F",587,536870919]],["^15",[612,"^X",483,536870919]],["^15",[612,"^V",577,536870919]],["^15",[612,"^U",476,536870919]],["^15",[612,"^U",483,536870919]],["^15",[612,"^U",498,536870919]],["^15",[612,"^U",502,536870919]],["^15",[612,"^?",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/918847233586253906)","^1H",["^1:",["2021-12-10"]]],536870919]],["^15",[612,"^J",["^1G","^1H"],536870919]],["^15",[612,"^4",["^ ","^1G","[Discord](https://discord.com/channels/725182569297215569/743139225746145311/918847233586253906)","^1H","[[2021-12-10]]"],536870919]],["^15",[612,"^H",476,536870919]],["^15",[612,"^H",498,536870919]],["^15",[612,"^H",502,536870919]],["^15",[612,"^;","~u686c5fe9-0c13-45af-8996-96c60763515f",536870919]],["^15",[613,"^Q","#+BEGIN_QUERY\n{:title \"🟠 SLIPPING deadlines (<1W)\"\n    :query [:find (pull ?block [*])\n            :in $ ?start ?today\n            :where\n            (or\n              [?block :block/scheduled ?d]\n              [?block :block/deadline ?d])\n            (not\n              [?block :block/marker ?marker] \n              (not [(contains? #{\"NOW\" \"LATER\" \"TODO\" \"DOING\"} ?marker)]))\n            [(>= ?d ?start)]\n            [(<= ?d ?today)]]\n    :inputs [:8d :today]\n    :collapsed? true}\n#+END_QUERY",536870919]],["^15",[613,"^O","^16",536870919]],["^15",[613,"^F",565,536870919]],["^15",[613,"^X",483,536870919]],["^15",[613,"^V",572,536870919]],["^15",[613,"^U",483,536870919]],["^15",[613,"^U",498,536870919]],["^15",[613,"^U",502,536870919]],["^15",[613,"^U",510,536870919]],["^15",[613,"^;","~u686c5fe9-a232-499c-8931-bb0f1f8f2b0f",536870919]],["^15",[614,"^Q","#+BEGIN_QUERY\n{:title \"Siloed search\"\n :query [:find (pull ?b [*])\n         :in $ ?keyword [?title ...]\n         :where\n         [?p :block/original-name ?title]\n         [?b :block/page ?p]\n         [?b :block/content ?c]\n         [(clojure.string/includes? ?c ?keyword)]]\n :inputs [\"tasks\" [\"Advanced queries\" \"Advanced queries/Examples\"]]\n }\n#+END_QUERY",536870919]],["^15",[614,"^O","^16",536870919]],["^15",[614,"^F",581,536870919]],["^15",[614,"^X",483,536870919]],["^15",[614,"^V",581,536870919]],["^15",[614,"^U",483,536870919]],["^15",[614,"^U",498,536870919]],["^15",[614,"^U",502,536870919]],["^15",[614,"^U",507,536870919]],["^15",[614,"^;","~u686c5fe9-72cd-42bb-8fcb-8ed7b94c43a6",536870919]],["^15",[615,"^Q","DONE Completed this query",536870919]],["^15",[615,"^O","^16",536870919]],["^15",[615,"^F",617,536870919]],["^15",[615,"^10","DONE",536870919]],["^15",[615,"^X",483,536870919]],["^15",[615,"^V",533,536870919]],["^15",[615,"^U",7,536870919]],["^15",[615,"^U",483,536870919]],["^15",[615,"^U",496,536870919]],["^15",[615,"^U",498,536870919]],["^15",[615,"^U",502,536870919]],["^15",[615,"^H",7,536870919]],["^15",[615,"^;","~u686c5fe9-164e-4434-9f4e-d5f5921a0699",536870919]],["^15",[616,"^Q","#+BEGIN_QUERY\n{:title \"All TODO items related to the tag 'Cowling' \"\n:query\n [:find (pull ?b [*])\n  :where\n  [?b :block/marker \"TODO\"]\n  [?b :block/page ?p]\n  (or [?b :block/path-ref-pages [:page/name \"cowl\"]]\n      [?p :page/tags [:page/name \"cowl\"]])\n]\n :collapsed? true}\n#+END_QUERY",536870919]],["^15",[616,"^O","^16",536870919]],["^15",[616,"^F",562,536870919]],["^15",[616,"^X",483,536870919]],["^15",[616,"^V",609,536870919]],["^15",[616,"^U",483,536870919]],["^15",[616,"^U",487,536870919]],["^15",[616,"^U",498,536870919]],["^15",[616,"^U",502,536870919]],["^15",[616,"^;","~u686c5fe9-46b4-4522-a6a0-39ff97295b0f",536870919]],["^15",[617,"^Q","#+BEGIN_QUERY\n{:query [:find (pull ?b [*])\n         :in $ ?s\n         :where\n         [?b :block/marker \"DONE\"]\n         [?b :block/page ?p]\n         [?p :block/original-name ?n]\n         [(clojure.string/starts-with? ?n ?s)]]\n :inputs [ \"Advanced queries/\" ]\n }\n#+END_QUERY",536870919]],["^15",[617,"^O","^16",536870919]],["^15",[617,"^F",533,536870919]],["^15",[617,"^X",483,536870919]],["^15",[617,"^V",533,536870919]],["^15",[617,"^U",483,536870919]],["^15",[617,"^U",496,536870919]],["^15",[617,"^U",498,536870919]],["^15",[617,"^U",502,536870919]],["^15",[617,"^;","~u686c5fe9-742e-4a97-b720-adff30c71984",536870919]],["^15",[618,"^Q","#+BEGIN_QUERY\n{:query [:find (pull ?b [*]) :in $ ?uuid\n      :where\n      [?b :block/uuid ?u]\n      [(str ?u) ?s]\n      [(= ?uuid ?s)]]\n :inputs [\"61d9ce9c-0822-4c1d-a9f3-78537657155b\"]\n}\n#+END_QUERY",536870919]],["^15",[618,"^O","^16",536870919]],["^15",[618,"^F",560,536870919]],["^15",[618,"^X",483,536870919]],["^15",[618,"^V",560,536870919]],["^15",[618,"^U",483,536870919]],["^15",[618,"^U",498,536870919]],["^15",[618,"^U",502,536870919]],["^15",[618,"^U",507,536870919]],["^15",[618,"^;","~u686c5fe9-256a-4b11-a7ad-b7412d5b704a",536870919]],["^15",[619,"^Q","[link: Uday Verma's Blog: Datascript 101](https://udayv.com/blog/2016-04-28-datascript101/)",536870919]],["^15",[619,"^O","^16",536870919]],["^15",[619,"^F",564,536870919]],["^15",[619,"^X",483,536870919]],["^15",[619,"^V",589,536870919]],["^15",[619,"^U",483,536870919]],["^15",[619,"^;","~u686c5fe9-a236-4601-b609-ac7031fd8763",536870919]],["^15",[620,"^?",["^ ","^1A","embed","^1B",["((686c3af1-5149-453c-94b2-94028372c22b))"]],536870919]],["^15",[620,"^W","macro",536870919]],["^15",[620,"^T","embed ((686c3af1-5149-453c-94b2-94028372c22b))",536870919]],["^15",[621,"^?",["^ ","^1A","query","^1B",["(and (between -0d ++0d) (task TODO))"]],536870919]],["^15",[621,"^W","macro",536870919]],["^15",[621,"^T","query (and (between -0d ++0d) (task TODO))",536870919]],["^15",[622,"^2",1,536870920]],["^15",[622,"^T","^2",536870920]],["^15",[623,"^T","^R",536870921]],["^15",[623,"^R",["^14",["Server/Steamdeck Local Ai","solid/bakit","soldi","startpage","Soldi/Plenum/AI","soldi/plenum/ai","slide","Other/Temp","birthday","double dabble 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"],536871172]],["^15",[635,"^;","~u686e6b8d-a77c-4645-8eb8-96a06e0d073d",536871099]],["^15",[636,"^K",1752066963145,536871106]],["^15",[636,"^@",false,536871106]],["^15",[636,"^Y","packman",536871106]],["^15",[636,"^11","packman",536871106]],["^15",[636,"^B",1752066963145,536871106]],["^15",[636,"^;","~u686e6b93-e179-40fd-833e-2d4a91079d9c",536871106]],["^15",[637,"^Q","~`sudo pacman-key --populate archlinux`",536871144]],["^15",[637,"^O","^16",536871132]],["^15",[637,"^F",635,536871132]],["^15",[637,"^X",296,536871132]],["^15",[637,"^V",632,536871132]],["^15",[637,"^U",296,536871581]],["^15",[637,"^U",298,536871581]],["^15",[637,"^U",636,536871581]],["^15",[637,"^?",["^ "],536871144]],["^15",[637,"^;","~u686e6ba3-a73d-47e3-a245-f0a1fb7f7f3a",536871132]],["^15",[638,"^Q","~`sudo pacman 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reposetory_",536871251]],["^15",[640,"^O","^16",536871235]],["^15",[640,"^F",637,536871235]],["^15",[640,"^X",296,536871235]],["^15",[640,"^V",632,536871235]],["^15",[640,"^U",296,536871581]],["^15",[640,"^U",298,536871581]],["^15",[640,"^U",636,536871581]],["^15",[640,"^?",["^ "],536871251]],["^15",[640,"^;","~u686e6d6c-53d8-4b21-ae4f-d064d2b42319",536871235]],["^15",[641,"^Q","https://localai.io/basics/getting_started/",536871258]],["^15",[641,"^O","^16",536871254]],["^15",[641,"^F",306,536871254]],["^15",[641,"^X",296,536871254]],["^15",[641,"^V",312,536871254]],["^15",[641,"^U",241,536872181]],["^15",[641,"^U",296,536872181]],["^15",[641,"^?",["^ "],536871258]],["^15",[641,"^;","~u686e6d8d-019e-4c58-8a07-0b8c0c2b5cab",536871254]],["^15",[643,"^Q","Manual install #localai:",536872240]],["^15",[643,"^O","^16",536871311]],["^15",[643,"^F",634,536872197]],["^15",[643,"^X",296,536871311]],["^15",[643,"^V",311,536871313]],["^15",[643,"^U",296,536872237]],["^15",[643,"^U",297,536872237]],["^15",[643,"^U",298,536872237]],["^15",[643,"^?",["^ "],536872240]],["^15",[643,"^H",297,536872240]],["^15",[643,"^;","~u686e6e25-c351-4d1b-88bd-0ed5a7dee429",536871311]],["^15",[644,"^Q","~`sudo sh -c 'echo \"unqualified-search-registries = [\\\"docker.io\\\"]\" >> /etc/containers/registries.conf'` add docker hub",536872232]],["^15",[644,"^O","^16",536871318]],["^15",[644,"^F",634,536871318]],["^15",[644,"^X",296,536871318]],["^15",[644,"^V",634,536871320]],["^15",[644,"^U",296,536872233]],["^15",[644,"^U",298,536872233]],["^15",[644,"^U",742,536872233]],["^15",[644,"^?",["^ 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Meta:",536871603]],["^15",[663,"^O","^16",536871600]],["^15",[663,"^@",false,536871600]],["^15",[663,"^F",662,536871600]],["^15",[663,"^X",662,536871600]],["^15",[663,"^V",662,536871600]],["^15",[663,"^U",457,536871603]],["^15",[663,"^U",662,536871601]],["^15",[663,"^?",["^ ","^1;",2],536871603]],["^15",[663,"^J",["^14",[]],536871603]],["^15",[663,"^;","~u686e895a-cd5b-43f8-9865-db7b3ce12eae",536871600]],["^15",[664,"^Q","Additional Tags:",536871603]],["^15",[664,"^O","^16",536871603]],["^15",[664,"^F",663,536871603]],["^15",[664,"^X",662,536871603]],["^15",[664,"^V",663,536871603]],["^15",[664,"^U",662,536871604]],["^15",[664,"^;","~uccbfd89a-8a64-41a7-ab36-686c839ada51",536871603]],["^15",[665,"^Q","Additional References:",536871603]],["^15",[665,"^O","^16",536871603]],["^15",[665,"^F",664,536871603]],["^15",[665,"^X",662,536871603]],["^15",[665,"^V",663,536871603]],["^15",[665,"^U",457,536871604]],["^15",[665,"^U",662,536871604]],["^15",[665,"^;","~u84a2c497-7304-4714-b2b9-4002120e844d",536871603]],["^15",[666,"^Q","**Subpages:**\nbackground-color:: purple",536871603]],["^15",[666,"^O","^16",536871603]],["^15",[666,"^F",665,536871603]],["^15",[666,"^X",662,536871603]],["^15",[666,"^V",663,536871603]],["^15",[666,"^U",662,536871604]],["^15",[666,"^?",["^ ","^1=","purple"],536871603]],["^15",[666,"^J",["^14",["^1="]],536871603]],["^15",[666,"^4",["^ ","^1=","purple"],536871603]],["^15",[666,"^;","~u27e0a0c9-efac-489f-adb4-b76c20b41cfa",536871603]],["^15",[667,"^Q","#+BEGIN_QUERY\n{\n :title \"Index:\"\n  :query (namespace [[Other]])\n}\n#+END_QUERY",536871603]],["^15",[667,"^O","^16",536871603]],["^15",[667,"^F",666,536871603]],["^15",[667,"^X",662,536871603]],["^15",[667,"^V",666,536871603]],["^15",[667,"^U",457,536871604]],["^15",[667,"^U",662,536871604]],["^15",[667,"^;","~u6e7bf1dc-7752-402f-8892-6ea4d2aa664b",536871603]],["^15",[668,"^Q","**Summery:**\nbackground-color:: blue",536871603]],["^15",[668,"^O","^16",536871603]],["^15",[668,"^F",666,536871603]],["^15",[668,"^X",662,536871603]],["^15",[668,"^V",663,536871603]],["^15",[668,"^U",457,536871604]],["^15",[668,"^U",662,536871604]],["^15",[668,"^?",["^ ","^1=","blue"],536871603]],["^15",[668,"^J",["^14",["^1="]],536871603]],["^15",[668,"^4",["^ 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---",536871639]],["^15",[672,"^18","~m1752074654050",536871638]],["^15",[672,"^Z","pages/Other.md",536871605]],["^15",[673,"^M",true,536871979]],["^15",[673,"^Q","### Zweierlei Sein",536871662]],["^15",[673,"^O","^16",536871618]],["^15",[673,"^F",687,536871985]],["^15",[673,"^X",674,536871628]],["^15",[673,"^V",674,536871628]],["^15",[673,"^U",674,536871629]],["^15",[673,"^?",["^ ","^1;",3],536871985]],["^15",[673,"^J",["^14",[]],536871985]],["^15",[673,"^;","~u686e8995-4ab8-47a9-a0da-1b94acaf649e",536871618]],["^15",[674,"^K",1752074651190,536871625]],["^15",[674,"^[",676,536871642]],["^15",[674,"^O","^16",536871625]],["^15",[674,"^@",false,536871625]],["^15",[674,"^Y","other/lyric",536871625]],["^15",[674,"^A",662,536871625]],["^15",[674,"^11","Other/Lyric",536871625]],["^15",[674,"^B",1752077344492,536872097]],["^15",[674,"^;","~u686e899b-a1cf-4ae1-9aa3-199a92be4852",536871625]],["^15",[676,"^3","## Meta\n\t- Additional Tags:\n\t- Additional References:\n\t- **Notes:**\n\t  background-color:: red\n\t\t- {{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Other/Lyric]]) (namespace [[Other/Lyric]])))}}\n\t\t  query-sort-by:: block\n\t\t  query-table:: true\n\t\t  query-sort-desc:: false\n\t- **Slides:**\n\t  background-color:: green\n\t\t- {{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Other/Lyric]]) (namespace [[Other/Lyric]])))}}\n\t- **Summery**:\n\t  background-color:: blue\n\t\t- Eine Sammlung an verfassten lyrischen Werken\n- ---\n- ### Zweierlei Sein\n  collapsed:: true\n\t- Ich kann, weil ich will, was ich muss; doch muss ich nur was der Selbstzwang mir erlaubt, wenn der Wille siegt, dem inneren Gegner überwinden zu können.\n\t  \n\t  Die zur persönlichkeitsdeffinierenden Kraft elevierter Selbstindoktrination. Ohne sie wäre ich nicht ich, doch ist mein Sein mit ihr wirklich mein?\n\t  \n\t  Dass muss es: Ohne Selbstzwang wäre ich verachtungswürdig. Die Idee des progressiven unbeachtet, wenn nicht gar dem meinigen Kampf entgegen-gerichtet, verraten von mir selbst.\n\t  \n\t  Verloren, sollte das 'will', nachlassen und nicht mehr zu dem 'muss' führen, verloren lasse die Kraft nach mir selbst den richtigen Weg zu diktieren.\n\t  \n\t  Sei mir dann alles genommen? Zurecht sicher, so viel vertrauen Zerstört, durch meinen, viel mehr seinen, Sieg: zu viele Freundschaften gebrochen! Die Angst vor der Zukunft geringer als die Sorge vor mir in ihr.\n\t  \n\t  Ist die Befürchtung unvermeidlich, so bin ich wertlos, wird die Befürchtung Realität: Neutralisierung!\n\t-\n- ### Alternative(los)\n  collapsed:: true\n\t- I\n\t\t- Ich finde mich wider in ewiger Lehre. An einem Ort unbegrenzter Natur, schwarzer Weite bis in die Unendlichkeit - Als könnte man 100 Stunden laufen, und doch am selben Ort verbleiben -, keine Strukturen, ein monotoner Grund.\n\t\t  \n\t\t  Doch ich vermag zu sehen - auch wenn es nichts gibt das zu sehen währe -.\n\t\t  An einem Ort der so friedlich sein müsste, wie die ruhigste Nacht, fühlt sich mein Sein an wie in einer Zelle am schlimmsten Ort eines unsteten Tages inmitten ewigem Geschrei. Mir wird übel, scheinbar ohne Grund, ein mentales Kriegsgebiet: \n\t\t  Jede Sekunde das Gefühl der physischen Enge, im doch unendlichen Raum sei ich erdrückt, nein erstickt, vom schwindenden Platz.\n\t\t  Jede Sekunde das Gefühl ich würde von Gegenständen übermannt, als schleuderten diese mit ungeheuerlicher Kraft in mich hinein, ungebremst, Todbringend.\n\t\t  Jede Sekunde diese Gefühle... \n\t\t  doch nie passiert es, wie soll es auch in der ewigen Lehre? So verbleibt die ewig quälende Antizipation und ich mit ihr; ruhelos und langsam schwächelnde.\n\t\t  \n\t\t  Das war mein Traum, kein schöner sicherlich aber nur ein Traum. Zumindest für mich, zumindest noch...\n\t- II\n\t\t- TODO [#C]\n\t-\n- ### Das Problem der Emotionalität\n  collapsed:: true\n\t- Die ausmaßende Schrecklichkeit, ja fast schon Tyrannei, menschenlicher Emotionen auf geseltschaftlich-, politische Debatten ist trotz Erwartung der Irrationalität immer wider erschreckend.\n\t  *Anscheinend sogar so erschreckend, das ich mich in jene vermeintlich intellektuell höhergestellte Satzgefüge zu retten versuche, ohne dabei den Zynismuss erkennen zu können selbst, in beschriebener Weise, beeinflusst worden zu sein*\n-",536872099]],["^15",[676,"^18","~m1752077344802",536872098]],["^15",[676,"^Z","pages/Other___Lyric.md",536871642]],["^15",[678,"^Q","## Meta",536871670]],["^15",[678,"^O","^16",536871666]],["^15",[678,"^F",674,536872097]],["^15",[678,"^X",674,536871666]],["^15",[678,"^V",674,536871666]],["^15",[678,"^U",674,536872092]],["^15",[678,"^?",["^ ","^1;",2],536872097]],["^15",[678,"^J",["^14",[]],536872097]],["^15",[678,"^;","~u686e89d1-d21b-419f-8024-c9f5002f4d87",536871666]],["^15",[679,"^Q","Additional Tags:",536871670]],["^15",[679,"^O","^16",536871670]],["^15",[679,"^F",678,536871670]],["^15",[679,"^X",674,536871670]],["^15",[679,"^V",678,536871670]],["^15",[679,"^U",674,536872092]],["^15",[679,"^;","~u88d906e0-b021-4681-8452-f9ac2cbedc1a",536871670]],["^15",[680,"^Q","Additional References:",536871670]],["^15",[680,"^O","^16",536871670]],["^15",[680,"^F",679,536871670]],["^15",[680,"^X",674,536871670]],["^15",[680,"^V",678,536871670]],["^15",[680,"^U",674,536872092]],["^15",[680,"^;","~u618202a0-75fa-4180-93fa-222908665ae5",536871670]],["^15",[681,"^Q","**Notes:**\nbackground-color:: red",536871670]],["^15",[681,"^O","^16",536871670]],["^15",[681,"^F",680,536871670]],["^15",[681,"^X",674,536871670]],["^15",[681,"^V",678,536871670]],["^15",[681,"^U",674,536872092]],["^15",[681,"^?",["^ ","^1=","red"],536871670]],["^15",[681,"^J",["^14",["^1="]],536871670]],["^15",[681,"^4",["^ ","^1=","red"],536871670]],["^15",[681,"^;","~u1ecde954-24bc-405a-bed8-50a161c8e6fe",536871670]],["^15",[682,"^Q","{{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Other/Lyric]]) (namespace [[Other/Lyric]])))}}\nquery-sort-by:: block\nquery-table:: true\nquery-sort-desc:: false",536871670]],["^15",[682,"^O","^16",536871670]],["^15",[682,"^F",681,536871670]],["^15",[682,"^X",674,536871670]],["^15",[682,"^V",681,536871670]],["^15",[682,"^U",674,536872092]],["^15",[682,"^?",["^ ","^1?","block","^1>",true,"^1@",false],536871670]],["^15",[682,"^J",["^14",["^1?","^1>","^1@"]],536871670]],["^15",[682,"^4",["^ ","^1?","block","^1>","true","^1@","false"],536871670]],["^15",[682,"^;","~u63c75cd3-fad1-4135-8a85-d5f0f7fb5a6b",536871670]],["^15",[683,"^Q","**Slides:**\nbackground-color:: green",536871670]],["^15",[683,"^O","^16",536871670]],["^15",[683,"^F",681,536871670]],["^15",[683,"^X",674,536871670]],["^15",[683,"^V",678,536871670]],["^15",[683,"^U",674,536872092]],["^15",[683,"^?",["^ ","^1=","green"],536871670]],["^15",[683,"^J",["^14",["^1="]],536871670]],["^15",[683,"^4",["^ ","^1=","green"],536871670]],["^15",[683,"^;","~u7bd3ee72-a538-4438-b6c4-ee0a5d6d310f",536871670]],["^15",[684,"^Q","{{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Other/Lyric]]) (namespace [[Other/Lyric]])))}}",536871670]],["^15",[684,"^O","^16",536871670]],["^15",[684,"^F",683,536871670]],["^15",[684,"^X",674,536871670]],["^15",[684,"^V",683,536871670]],["^15",[684,"^U",674,536872092]],["^15",[684,"^;","~u02efee34-64fb-4b51-a4f5-fc69d845be9b",536871670]],["^15",[685,"^Q","**Summery**:\nbackground-color:: blue",536871670]],["^15",[685,"^O","^16",536871670]],["^15",[685,"^F",683,536871670]],["^15",[685,"^X",674,536871670]],["^15",[685,"^V",678,536871670]],["^15",[685,"^U",674,536872092]],["^15",[685,"^?",["^ ","^1=","blue"],536871670]],["^15",[685,"^J",["^14",["^1="]],536871670]],["^15",[685,"^4",["^ ","^1=","blue"],536871670]],["^15",[685,"^;","~u91628d68-b7d3-47b4-a764-46bc412b5d0a",536871670]],["^15",[686,"^Q","Eine Sammlung an verfassten lyrischen Werken",536871686]],["^15",[686,"^O","^16",536871670]],["^15",[686,"^F",685,536871670]],["^15",[686,"^X",674,536871670]],["^15",[686,"^V",685,536871670]],["^15",[686,"^U",674,536872092]],["^15",[686,"^?",["^ "],536871686]],["^15",[686,"^;","~u686dd51e-c03d-4c3b-8f47-6317ed3b46ee",536871670]],["^15",[687,"^Q","---",536871670]],["^15",[687,"^O","^16",536871670]],["^15",[687,"^F",678,536871670]],["^15",[687,"^X",674,536871670]],["^15",[687,"^V",674,536871670]],["^15",[687,"^U",674,536871671]],["^15",[687,"^;","~u08bdbb77-399f-4879-801c-0dddce24cb37",536871670]],["^15",[689,"^U",674,536871690]],["^15",[690,"^U",674,536871690]],["^15",[691,"^U",674,536871690]],["^15",[692,"^U",674,536871690]],["^15",[693,"^U",674,536871690]],["^15",[694,"^U",674,536871690]],["^15",[695,"^Q","Ich kann, weil ich will, was ich muss; doch muss ich nur was der Selbstzwang mir erlaubt, wenn der Wille siegt, dem inneren Gegner überwinden zu können.\n\nDie zur persönlichkeitsdeffinierenden Kraft elevierter Selbstindoktrination. Ohne sie wäre ich nicht ich, doch ist mein Sein mit ihr wirklich mein?\n\nDass muss es: Ohne Selbstzwang wäre ich verachtungswürdig. Die Idee des progressiven unbeachtet, wenn nicht gar dem meinigen Kampf entgegen-gerichtet, verraten von mir selbst.\n\nVerloren, sollte das 'will', nachlassen und nicht mehr zu dem 'muss' führen, verloren lasse die Kraft nach mir selbst den richtigen Weg zu diktieren.\n\nSei mir dann alles genommen? Zurecht sicher, so viel vertrauen Zerstört, durch meinen, viel mehr seinen, Sieg: zu viele Freundschaften gebrochen! Die Angst vor der Zukunft geringer als die Sorge vor mir in ihr.\n\nIst die Befürchtung unvermeidlich, so bin ich wertlos, wird die Befürchtung Realität: Neutralisierung!",536871862]],["^15",[695,"^O","^16",536871703]],["^15",[695,"^F",673,536871707]],["^15",[695,"^X",674,536871703]],["^15",[695,"^V",673,536871703]],["^15",[695,"^U",674,536871704]],["^15",[695,"^?",["^ "],536871862]],["^15",[695,"^;","~u686e8a21-4a69-40e1-83c0-6a264a049701",536871703]],["^15",[705,"^M",true,536871988]],["^15",[705,"^Q","### Alternative(los)",536871881]],["^15",[705,"^O","^16",536871727]],["^15",[705,"^F",673,536871732]],["^15",[705,"^X",674,536871727]],["^15",[705,"^V",674,536871732]],["^15",[705,"^U",674,536871728]],["^15",[705,"^?",["^ ","^1;",3],536871881]],["^15",[705,"^J",["^14",[]],536871881]],["^15",[705,"^;","~u686e8a30-7e00-4245-9bbc-cc105f744b1c",536871727]],["^15",[706,"^Q","Ich finde mich wider in ewiger Lehre. An einem Ort unbegrenzter Natur, schwarzer Weite bis in die Unendlichkeit - Als könnte man 100 Stunden laufen, und doch am selben Ort verbleiben -, keine Strukturen, ein monotoner Grund.\n\nDoch ich vermag zu sehen - auch wenn es nichts gibt das zu sehen währe -.\nAn einem Ort der so friedlich sein müsste, wie die ruhigste Nacht, fühlt sich mein Sein an wie in einer Zelle am schlimmsten Ort eines unsteten Tages inmitten ewigem Geschrei. Mir wird übel, scheinbar ohne Grund, ein mentales Kriegsgebiet: \nJede Sekunde das Gefühl der physischen Enge, im doch unendlichen Raum sei ich erdrückt, nein erstickt, vom schwindenden Platz.\nJede Sekunde das Gefühl ich würde von Gegenständen übermannt, als schleuderten diese mit ungeheuerlicher Kraft in mich hinein, ungebremst, Todbringend.\nJede Sekunde diese Gefühle... \ndoch nie passiert es, wie soll es auch in der ewigen Lehre? So verbleibt die ewig quälende Antizipation und ich mit ihr; ruhelos und langsam schwächelnde.\n\nDas war mein Traum, kein schöner sicherlich aber nur ein Traum. Zumindest für mich, zumindest noch...",536871874]],["^15",[706,"^O","^16",536871766]],["^15",[706,"^F",712,536871883]],["^15",[706,"^X",674,536871766]],["^15",[706,"^V",712,536871890]],["^15",[706,"^U",674,536871940]],["^15",[706,"^?",["^ "],536871874]],["^15",[706,"^;","~u686e8a63-d328-4b10-9bfc-3388fb470900",536871775]],["^15",[709,"^Q","",536871803]],["^15",[709,"^O","^16",536871794]],["^15",[709,"^F",695,536871853]],["^15",[709,"^X",674,536871794]],["^15",[709,"^V",673,536871794]],["^15",[709,"^U",674,536871795]],["^15",[709,"^?",["^ "],536871853]],["^15",[709,"^;","~u686e8aa3-bae2-46fd-bdac-77afbf58e9ee",536871794]],["^15",[710,"^?",["^ ","^1A","cards","^1B",[]],536871800]],["^15",[710,"^W","macro",536871800]],["^15",[710,"^T","cards ",536871800]],["^15",[712,"^Q","I",536871889]],["^15",[712,"^O","^16",536871883]],["^15",[712,"^F",705,536871883]],["^15",[712,"^X",674,536871883]],["^15",[712,"^V",705,536871883]],["^15",[712,"^U",674,536871940]],["^15",[712,"^?",["^ "],536871889]],["^15",[712,"^;","~u686e8c59-56a4-4074-9ef7-4e72adb63629",536871883]],["^15",[713,"^Q","II",536871902]],["^15",[713,"^O","^16",536871895]],["^15",[713,"^F",712,536871899]],["^15",[713,"^X",674,536871895]],["^15",[713,"^V",705,536871899]],["^15",[713,"^U",674,536871940]],["^15",[713,"^?",["^ "],536871902]],["^15",[713,"^;","~u686e8c5f-ee08-4078-b534-f00373946384",536871895]],["^15",[714,"^Q","TODO [#C]",536871923]],["^15",[714,"^O","^16",536871903]],["^15",[714,"^F",713,536871903]],["^15",[714,"^10","TODO",536871923]],["^15",[714,"^X",674,536871903]],["^15",[714,"^V",713,536871909]],["^15",[714,"^U",4,536871940]],["^15",[714,"^U",10,536871940]],["^15",[714,"^U",674,536871940]],["^15",[714,"^>","C",536871923]],["^15",[714,"^?",["^ "],536871923]],["^15",[714,"^H",4,536871923]],["^15",[714,"^H",10,536871923]],["^15",[714,"^;","~u686e8c61-2faf-44bc-adb6-bf65f3b20e44",536871903]],["^15",[715,"^Q","",536871928]],["^15",[715,"^O","^16",536871928]],["^15",[715,"^@",false,536871928]],["^15",[715,"^F",713,536871939]],["^15",[715,"^X",674,536871928]],["^15",[715,"^V",705,536871939]],["^15",[715,"^U",674,536871940]],["^15",[715,"^?",["^ "],536871928]],["^15",[715,"^;","~u686e8ca7-79ce-439d-8a1a-ac0f607b38f8",536871928]],["^15",[716,"^M",true,536871991]],["^15",[716,"^Q","### Das Problem der Emotionalität",536871952]],["^15",[716,"^O","^16",536871935]],["^15",[716,"^@",false,536871935]],["^15",[716,"^F",705,536871939]],["^15",[716,"^X",674,536871935]],["^15",[716,"^V",674,536871935]],["^15",[716,"^U",674,536871936]],["^15",[716,"^?",["^ ","^1;",3],536871952]],["^15",[716,"^J",["^14",[]],536871952]],["^15",[716,"^;","~u686e8ca9-2d56-4099-8edc-a10e98a372a1",536871935]],["^15",[717,"^Q","Die ausmaßende Schrecklichkeit, ja fast schon Tyrannei, menschenlicher Emotionen auf geseltschaftlich-, politische Debatten ist trotz Erwartung der Irrationalität immer wider erschreckend.\n*Anscheinend sogar so erschreckend, das ich mich in jene vermeintlich intellektuell höhergestellte Satzgefüge zu retten versuche, ohne dabei den Zynismuss erkennen zu können selbst, in beschriebener Weise, beeinflusst worden zu sein*",536871975]],["^15",[717,"^O","^16",536871953]],["^15",[717,"^@",false,536871953]],["^15",[717,"^F",716,536871953]],["^15",[717,"^X",674,536871953]],["^15",[717,"^V",716,536871955]],["^15",[717,"^U",674,536871954]],["^15",[717,"^?",["^ "],536871975]],["^15",[717,"^;","~u686e8e62-b1e9-433a-ba45-2a68963d9a48",536871962]],["^15",[719,"^Q","",536871994]],["^15",[719,"^O","^16",536871994]],["^15",[719,"^@",false,536871994]],["^15",[719,"^F",716,536871994]],["^15",[719,"^X",674,536871994]],["^15",[719,"^V",674,536871994]],["^15",[719,"^U",674,536871995]],["^15",[719,"^?",["^ "],536871994]],["^15",[719,"^;","~u686e8ec6-bbf0-4936-9b26-7d723296755f",536871994]],["^15",[727,"^Y","\"",536872035]],["^15",[728,"^Y","h",536872035]],["^15",[729,"^Y","e",536872035]],["^15",[730,"^Y","l",536872035]],["^15",[731,"^Y","o",536872035]],["^15",[737,"^Q","~```\npodman run -ti --name ubuntu-ai \\\n  --entrypoint /bin/bash \\\n  -p 9000:8080 \\\n  --device=/dev/kfd \\\n  --device=/dev/dri \\\n  --group-add=video \\\n  ubuntu:24.04\n\n# Inside the container:\napt update\napt install -y build-essential libnuma-dev curl libcurl4-openssl-dev cmake git\n\nwget https://repo.radeon.com/amdgpu-install/latest/ubuntu/noble/amdgpu-install_6.4.60401-1_all.deb\napt install -y ./amdgpu-install_6.4.60401-1_all.deb\n\napt update\namdgpu-install --usecase=rocm,hip --no-dkms\n\nwget https://localai.io/install.sh\nbash install.sh\n\necho 'HSA_OVERRIDE_GFX_VERSION=10.3.0' >> /etc/localai.env\necho 'PATH=$PATH:/opt/rocm/bin:/opt/rocm/rocprofiler/bin:/opt/rocm/opencl/bin' >> /etc/localai.env\necho 'GGML_CUDA_ENABLE_UNIFIED_MEMORY=1' >> /etc/localai.env\n```",536872313]],["^15",[737,"^O","^16",536872145]],["^15",[737,"^F",643,536872240]],["^15",[737,"^X",296,536872145]],["^15",[737,"^V",643,536872147]],["^15",[737,"^U",296,536872237]],["^15",[737,"^U",297,536872237]],["^15",[737,"^U",298,536872237]],["^15",[737,"^?",["^ "],536872313]],["^15",[737,"^;","~u686e9766-e0b2-47c5-a5b7-6fc206b24d03",536872159]],["^15",[738,"^U",296,536872153]],["^15",[738,"^U",298,536872153]],["^15",[739,"^U",296,536872160]],["^15",[739,"^U",298,536872160]],["^15",[741,"^Q","Buildin #llama manualy",536872322]],["^15",[741,"^O","^16",536872193]],["^15",[741,"^F",737,536872193]],["^15",[741,"^X",296,536872193]],["^15",[741,"^V",643,536872193]],["^15",[741,"^U",296,536872321]],["^15",[741,"^U",297,536872321]],["^15",[741,"^U",298,536872321]],["^15",[741,"^U",749,536872321]],["^15",[741,"^?",["^ 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blue",536872352]],["^15",[764,"^O","^16",536872352]],["^15",[764,"^F",762,536872352]],["^15",[764,"^X",756,536872352]],["^15",[764,"^V",757,536872352]],["^15",[764,"^U",756,536872353]],["^15",[764,"^?",["^ ","^1=","blue"],536872352]],["^15",[764,"^J",["^14",["^1="]],536872352]],["^15",[764,"^4",["^ ","^1=","blue"],536872352]],["^15",[764,"^;","~u66dee207-c097-44bc-bef9-c08a73a973a6",536872352]],["^15",[765,"^Q","",536872352]],["^15",[765,"^O","^16",536872352]],["^15",[765,"^F",764,536872352]],["^15",[765,"^X",756,536872352]],["^15",[765,"^V",764,536872352]],["^15",[765,"^U",756,536872353]],["^15",[765,"^;","~u03a3bf3e-30d3-4d0e-a1c9-d805d6804343",536872352]],["^15",[766,"^Q","---",536872352]],["^15",[766,"^O","^16",536872352]],["^15",[766,"^F",757,536872352]],["^15",[766,"^X",756,536872352]],["^15",[766,"^V",756,536872352]],["^15",[766,"^U",756,536872353]],["^15",[766,"^;","~uc6a2f6a9-5f8b-41ab-9a2f-2e35397ca42e",536872352]],["^15",[767,"^Q","Components #Note",536872376]],["^15",[767,"^O","^16",536872352]],["^15",[767,"^F",766,536872352]],["^15",[767,"^X",756,536872352]],["^15",[767,"^V",756,536872352]],["^15",[767,"^U",241,536872377]],["^15",[767,"^U",756,536872377]],["^15",[767,"^?",["^ "],536872376]],["^15",[767,"^H",241,536872376]],["^15",[767,"^;","~ue2408e6c-1187-466b-834f-69d7173aedb7",536872352]],["^15",[768,"^3","## Meta\n\t- Additional Tags:\n\t- Additional References:\n\t- **Notes:**\n\t  background-color:: red\n\t\t- {{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[AutoDiscDecrypt]]) (namespace [[AutoDiscDecrypt]])))}}\n\t\t  query-sort-by:: block\n\t\t  query-table:: true\n\t\t  query-sort-desc:: false\n\t- **Slides:**\n\t  background-color:: green\n\t\t- {{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[AutoDiscDecrypt]]) (namespace [[AutoDiscDecrypt]])))}}\n\t- **Summery**:\n\t  background-color:: blue\n\t\t-\n- ---\n- Components #Note\n\t- ### APP config:\n\t\t- deployed in OVM or TrueNAS\n\t\t- listening port, addresses\n\t\t- list of self managed shars\n\t\t- ovm or TrueNAs\n\t\t- #+BEGIN_NOTE\n\t\t  `/etc/auto-disc-decrypt/server-config`\n\t\t  #+END_NOTE\n\t- ### Service config (can be encrypted):\n\t\t- _Listen to request value is filename_\n\t\t- Access key hash <>\n\t\t- Require user consent?\n\t\t- Executing action:\n\t\t  id:: 6873af67-adfe-4a48-8e55-6fb7c440d17b\n\t\t\t- HTTP\n\t\t\t\t- Methode, Body, URL (+PORT)\n\t\t\t- SSH\n\t\t\t\t- Target, cmd to exec\n\t\t- On failiure\n\t\t- #+BEGIN_NOTE\n\t\t  `/etc/auto-disc-decrypt/server/*`\n\t\t  #+END_NOTE\n\t- ### On boot:\n\t\t- Load APP config\n\t\t- check if service config is encrypted\n\t\t\t- YES: Notify user to enter passkey to enable services\n\t\t\t- NO: continue\n\t\t- Check if any managed still encrypted shares are found\n\t\t\t- try to decrypt\n\t\t\t- request must be answered wit decryption request token\n\t- ### Operation chart\n\t\t- Serving:\n\t\t\t- POST: `/request/<config server config name>?trigger_key=<access key>` -> request server to start action specified in config\n\t\t\t  id:: 6873a504-82a8-420f-9bed-e1cac8ca92c0\n\t\t\t- POST: `/consent/<consent_id>` -> Request  User to consent that action is taken\n\t\t\t  id:: 6873a896-aa1c-4f46-9ada-b603c28246ea\n\t\t\t\t- GET to same path should include additional information and field to enter token\n\t\t\t\t  id:: 6873ac47-5461-4286-a649-4ae5c5d96326\n\t\t- Managing:\n\t\t\t- Retry encryption of own shares every `<n>` minute\n\t\t- {{embed [[autodecryptoperation]]}}\n-",536876927]],["^15",[768,"^18","~m1752685264710",536876926]],["^15",[768,"^Z","pages/Server___AutoDiscDecrypt.md",536873041]],["^15",[772,"^Q","#+BEGIN_NOTE\n`/etc/auto-disc-decrypt/server-config`\n#+END_NOTE",536873799]],["^15",[772,"^O","^16",536872376]],["^15",[772,"^F",888,536874393]],["^15",[772,"^X",756,536872376]],["^15",[772,"^V",800,536873802]],["^15",[772,"^U",241,536872379]],["^15",[772,"^U",756,536872379]],["^15",[772,"^?",["^ "],536873799]],["^15",[772,"^;","~u68739fd1-3532-42b4-9a73-06b30367075e",536872376]],["^15",[777,"^Q","### Service config (can be encrypted):",536873024]],["^15",[777,"^O","^16",536872475]],["^15",[777,"^F",800,536873802]],["^15",[777,"^X",756,536872475]],["^15",[777,"^V",767,536872481]],["^15",[777,"^U",241,536872476]],["^15",[777,"^U",756,536872476]],["^15",[777,"^?",["^ ","^1;",3],536873024]],["^15",[777,"^J",["^14",[]],536873024]],["^15",[777,"^;","~u6873a052-54fe-43d6-945e-9c719fcec1df",536872475]],["^15",[779,"^Q","_Listen to request value is filename_",536872548]],["^15",[779,"^O","^16",536872515]],["^15",[779,"^F",777,536872515]],["^15",[779,"^X",756,536872515]],["^15",[779,"^V",777,536872515]],["^15",[779,"^U",241,536873803]],["^15",[779,"^U",756,536873803]],["^15",[779,"^?",["^ "],536872548]],["^15",[779,"^;","~u6873a07d-7756-4333-abd2-6fb82d6c4ab9",536872515]],["^15",[780,"^Q","HTTP",536872561]],["^15",[780,"^O","^16",536872549]],["^15",[780,"^F",866,536874175]],["^15",[780,"^X",756,536872549]],["^15",[780,"^V",866,536874191]],["^15",[780,"^U",241,536874207]],["^15",[780,"^U",756,536874207]],["^15",[780,"^?",["^ "],536873449]],["^15",[780,"^;","~u6873a0db-66f7-4235-8d88-362d2f633bac",536872549]],["^15",[781,"^Q","Methode, Body, URL (+PORT)",536872628]],["^15",[781,"^O","^16",536872561]],["^15",[781,"^F",780,536872561]],["^15",[781,"^X",756,536872561]],["^15",[781,"^V",780,536872563]],["^15",[781,"^U",241,536874207]],["^15",[781,"^U",756,536874207]],["^15",[781,"^?",["^ "],536872628]],["^15",[781,"^;","~u6873a0e9-d580-4aed-9f7f-35c9690ba95b",536872561]],["^15",[784,"^Q","SSH",536872641]],["^15",[784,"^O","^16",536872629]],["^15",[784,"^F",780,536874195]],["^15",[784,"^X",756,536872629]],["^15",[784,"^V",866,536874195]],["^15",[784,"^U",241,536874207]],["^15",[784,"^U",756,536874207]],["^15",[784,"^?",["^ "],536872641]],["^15",[784,"^;","~u6873a113-9b3b-4c88-9fc0-d14251bf958a",536872629]],["^15",[785,"^Q","Target, cmd to exec",536872657]],["^15",[785,"^O","^16",536872644]],["^15",[785,"^F",784,536872644]],["^15",[785,"^X",756,536872644]],["^15",[785,"^V",784,536872648]],["^15",[785,"^U",241,536874207]],["^15",[785,"^U",756,536874207]],["^15",[785,"^?",["^ "],536872657]],["^15",[785,"^;","~u6873a17d-f1ae-4ea5-b108-bfe793af462e",536872644]],["^15",[786,"^Q","On 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Betrachtet man, nun ein Bild generierendes GAN-Modell, welche zuvor mit Millionen an kategorisierten Bildern und eingeordneten Daten trainiert wurde fällt auf, das eben jener Trainingsprozess, dem künstlichen Modell lediglich die selben Möglichkeiten gibt, wie der Mensch sie durch das bloße leben hat: Die Sammlung Referenzdate, Erfahrungen. Ebenso ist das maschinelle Generieren eines neuen Bildes lediglich das Transformieren und Zusammenfügen von Eigenschaften wie sie in den Trainingsdaten vorlagen.",536880904]],["^15",[897,"^O","^16",536875342]],["^15",[897,"^F",1119,536880589]],["^15",[897,"^X",346,536875342]],["^15",[897,"^V",356,536881170]],["^15",[897,"^U",4,536881396]],["^15",[897,"^U",298,536881396]],["^15",[897,"^U",346,536881396]],["^15",[897,"^?",["^ "],536880904]],["^15",[897,"^;","~u6877b1a1-0ca0-4c4c-9958-c98a0e6b12f4",536875342]],["^15",[898,"^U",4,536875409]],["^15",[898,"^U",298,536875409]],["^15",[898,"^U",346,536875409]],["^15",[899,"^Q","Ein angelerntes Modell kann zwar das Konzept von Emotionen ebenso wie das aussehen einer Katze beigebracht bekommen und entsprechende emotionale Reaktionen aus dem training kopieren, jedoch nie selbst fühlen. Eben so wenig ist es in der Lage sich eigenständig über das Niveau des Datensatzes mit dem es trainiert wurde zu verbessern, so mag es die Charakteristiken vom Minimalismus kennen, jedoch nicht in der Lage sein ein Dreieck mit einem Sechseck auszutatschen sollte es nie mit einem Sechseck trainiert worden sein.\nSo differenziert sich der Mensch von dem AI-Modell in einem weitern Punkt: Der Fahrigkeit des Kritischen Beurteilers und der Reflektion für Änderungen und Verbesserungen bei dem eigenen Kreationsprozess anzustreben.",536881157]],["^15",[899,"^O","^16",536875866]],["^15",[899,"^F",1122,536880900]],["^15",[899,"^X",346,536875866]],["^15",[899,"^V",356,536881170]],["^15",[899,"^U",4,536881396]],["^15",[899,"^U",298,536881396]],["^15",[899,"^U",346,536881396]],["^15",[899,"^?",["^ "],536881157]],["^15",[899,"^;","~u6877b4b8-cf1d-4fd5-bcc2-1e6dbe98951c",536875866]],["^15",[910,"^Q","**Leitfragen**",536876171]],["^15",[910,"^O","^16",536876155]],["^15",[910,"^F",356,536881403]],["^15",[910,"^X",346,536876155]],["^15",[910,"^V",376,536876155]],["^15",[910,"^U",4,536876156]],["^15",[910,"^U",298,536876156]],["^15",[910,"^U",346,536876156]],["^15",[910,"^;","~u6877ba23-80ca-4102-9961-3d505d7c0bd9",536876155]],["^15",[911,"^Q","Stimmt ihr mit der Definition von Kreativität überein?",536881181]],["^15",[911,"^O","^16",536876174]],["^15",[911,"^F",910,536876174]],["^15",[911,"^X",346,536876174]],["^15",[911,"^V",910,536876178]],["^15",[911,"^U",4,536876175]],["^15",[911,"^U",298,536876175]],["^15",[911,"^U",346,536876175]],["^15",[911,"^?",["^ "],536881181]],["^15",[911,"^;","~u6877ba2e-90f7-4aeb-964b-d7c50e0c11b9",536876174]],["^15",[912,"^Q","Sollten wir nur \"kreative\" Kunst verwenden?",536876218]],["^15",[912,"^O","^16",536876187]],["^15",[912,"^F",911,536876187]],["^15",[912,"^X",346,536876187]],["^15",[912,"^V",910,536876187]],["^15",[912,"^U",4,536876188]],["^15",[912,"^U",298,536876188]],["^15",[912,"^U",346,536876188]],["^15",[912,"^;","~u6877ba3c-135f-4590-a556-08b05ac8f1b4",536876187]],["^15",[916,"^Q","Kooperation Mensch - Maschiene",536876374]],["^15",[916,"^O","^16",536876368]],["^15",[916,"^F",945,536877177]],["^15",[916,"^X",346,536876368]],["^15",[916,"^V",991,536878647]],["^15",[916,"^U",4,536876373]],["^15",[916,"^U",298,536876373]],["^15",[916,"^U",346,536876373]],["^15",[916,"^;","~u6877b76a-2875-4e59-8c25-5d897238e2d0",536876374]],["^15",[917,"^Q","Doch bedenken wir, das es durchaus verschiedene arten der Nutzung von Künstlicher Intelligenz in Kunstwerken, oder jeglichen weiteren Anwendungsgebieten gibt, welche differenziert betrachtet werden sollten:",536882026]],["^15",[917,"^O","^16",536876374]],["^15",[917,"^F",916,536876374]],["^15",[917,"^X",346,536876374]],["^15",[917,"^V",916,536876374]],["^15",[917,"^U",4,536877178]],["^15",[917,"^U",298,536877178]],["^15",[917,"^U",346,536877178]],["^15",[917,"^?",["^ "],536882026]],["^15",[917,"^;","~u6877bad3-4074-45ec-aac9-44fdb0fe4bdb",536876374]],["^15",[921,"^Q","Hat AI alleine das Endresultat generiert?",536876489]],["^15",[921,"^O","^16",536876472]],["^15",[921,"^F",917,536876965]],["^15",[921,"^X",346,536876472]],["^15",[921,"^V",917,536876965]],["^15",[921,"^U",4,536882027]],["^15",[921,"^U",298,536882027]],["^15",[921,"^U",346,536882027]],["^15",[921,"^;","~u6877bc87-19e0-4b69-9998-fa6670dba424",536876472]],["^15",[922,"^Q","Wurde ein generell verwendbares, Multifunktionales Ai Modell verwendet?",536876523]],["^15",[922,"^O","^16",536876490]],["^15",[922,"^F",921,536876490]],["^15",[922,"^X",346,536876490]],["^15",[922,"^V",921,536876496]],["^15",[922,"^U",4,536882027]],["^15",[922,"^U",298,536882027]],["^15",[922,"^U",346,536882027]],["^15",[922,"^;","~u6877bc96-66b5-48df-8d45-95dbc9ebff9f",536876490]],["^15",[925,"^Q","Ethische Faktoren:",536882160]],["^15",[925,"^O","^16",536882141]],["^15",[925,"^F",917,536882141]],["^15",[925,"^X",346,536882141]],["^15",[925,"^V",916,536882141]],["^15",[925,"^U",4,536882141]],["^15",[925,"^U",298,536882141]],["^15",[925,"^U",346,536882141]],["^15",[925,"^?",["^ "],536882160]],["^15",[925,"^;","~u6877bcc6-3b80-48c2-9db4-b508495657fa",536882141]],["^15",[927,"^Q","war das verwendete Modell Quelloffen (d.h. ist auch der Datensatz einsehbar)?",536882191]],["^15",[927,"^O","^16",536882141]],["^15",[927,"^F",925,536882141]],["^15",[927,"^X",346,536882141]],["^15",[927,"^V",925,536882141]],["^15",[927,"^U",4,536882161]],["^15",[927,"^U",298,536882161]],["^15",[927,"^U",346,536882161]],["^15",[927,"^?",["^ "],536882191]],["^15",[927,"^;","~u6877bcd7-03b1-4b5e-b5c2-a148178caa48",536882141]],["^15",[928,"^Q","(ist überhaupt bekannt?) wie wurden die Trainingsdaten bezogen?",536882176]],["^15",[928,"^O","^16",536882141]],["^15",[928,"^F",927,536882141]],["^15",[928,"^X",346,536882141]],["^15",[928,"^V",925,536882141]],["^15",[928,"^U",4,536882161]],["^15",[928,"^U",298,536882161]],["^15",[928,"^U",346,536882161]],["^15",[928,"^?",["^ "],536882176]],["^15",[928,"^;","~u6877bcdf-8e81-4353-910e-9dfe6f5ff5c1",536882141]],["^15",[930,"^Q","Hat der Ersteller ein Modell extra dafür selbst Trainiert/ein bestehendes verändert?",536882054]],["^15",[930,"^O","^16",536876622]],["^15",[930,"^F",922,536876622]],["^15",[930,"^X",346,536876622]],["^15",[930,"^V",921,536876622]],["^15",[930,"^U",4,536882027]],["^15",[930,"^U",298,536882027]],["^15",[930,"^U",346,536882027]],["^15",[930,"^?",["^ "],536882054]],["^15",[930,"^;","~u6877bcfe-dd30-41d9-aab9-c57dd391653d",536876622]],["^15",[931,"^Q","Gab es eine ko-kreativitaet?",536876661]],["^15",[931,"^O","^16",536876647]],["^15",[931,"^F",921,536876651]],["^15",[931,"^X",346,536876647]],["^15",[931,"^V",917,536876965]],["^15",[931,"^U",4,536882027]],["^15",[931,"^U",298,536882027]],["^15",[931,"^U",346,536882027]],["^15",[931,"^;","~u6877bd21-7ed8-4d25-b6ce-0b72f23f40e0",536876647]],["^15",[932,"^Q","Hat der Ersteller immer wider gezielt Verankerungen am Produkt durchführen lassen um zum Endergebnis zu kommen?",536882039]],["^15",[932,"^O","^16",536876661]],["^15",[932,"^F",931,536876661]],["^15",[932,"^X",346,536876661]],["^15",[932,"^V",931,536876663]],["^15",[932,"^U",4,536882027]],["^15",[932,"^U",298,536882027]],["^15",[932,"^U",346,536882027]],["^15",[932,"^?",["^ "],536882039]],["^15",[932,"^;","~u6877bd43-4897-41db-a1ce-368350ec4d2a",536876661]],["^15",[933,"^Q","Stärken die Einflüsse/der Bias der AI die Aussagekraft des Produktes? (Ähnlich wie die ko-kreativitaet zwischen Tier und mensch: läuft ein tire in einen Farbeimer und anschließend über ein Gemälde, so ist der Mensch Autor, doch das tier signifikanter Unterstützer)",536882126]],["^15",[933,"^O","^16",536876705]],["^15",[933,"^F",932,536876705]],["^15",[933,"^X",346,536876705]],["^15",[933,"^V",931,536876705]],["^15",[933,"^U",4,536882027]],["^15",[933,"^U",298,536882027]],["^15",[933,"^U",346,536882027]],["^15",[933,"^?",["^ "],536882126]],["^15",[933,"^;","~u6877bdb6-0590-45c7-b5d4-bb5d29c6f37a",536876705]],["^15",[934,"^Q","Wurde AI lediglich als Werkzeug verwendet?",536882129]],["^15",[934,"^O","^16",536876795]],["^15",[934,"^F",931,536876799]],["^15",[934,"^X",346,536876795]],["^15",[934,"^V",917,536876965]],["^15",[934,"^U",4,536882027]],["^15",[934,"^U",298,536882027]],["^15",[934,"^U",346,536882027]],["^15",[934,"^?",["^ "],536882129]],["^15",[934,"^;","~u6877be16-249d-4c9b-be59-7f3005049c88",536876795]],["^15",[935,"^Q","Spielte es eine vergleichbare rolle wie in Bildmanipulationsprogramm in der \"klassischen\" Digitalen Kunst?",536876847]],["^15",[935,"^O","^16",536876815]],["^15",[935,"^F",934,536876815]],["^15",[935,"^X",346,536876815]],["^15",[935,"^V",934,536876817]],["^15",[935,"^U",4,536882130]],["^15",[935,"^U",298,536882130]],["^15",[935,"^U",346,536882130]],["^15",[935,"^;","~u6877be36-cdb4-4aea-b87b-d95230a6f3c4",536876815]],["^15",[936,"^12",2,536876855]],["^15",[937,"^12",2,536876864]],["^15",[938,"^K",1752685085237,536876867]],["^15",[938,"^@",false,536876867]],["^15",[938,"^Y","journals",536876867]],["^15",[938,"^11","Journals",536876867]],["^15",[938,"^B",1752685085237,536876867]],["^15",[938,"^;","~u6877da1d-9584-4e12-8af5-354d046b4f0e",536876867]],["^15",[939,"^12",2,536876929]],["^15",[940,"^K",1752757530966,536876930]],["^15",[940,"^O","^16",536876930]],["^15",[940,"^N",20250717,536876930]],["^15",[940,"^@",true,536876930]],["^15",[940,"^Y","2025/07/17",536876930]],["^15",[940,"^A",19,536876930]],["^15",[940,"^11","2025/07/17",536876930]],["^15",[940,"^B",1752757530966,536876930]],["^15",[940,"^;","~u6878f51a-28c4-4f1c-9107-a51ec2ecd7f0",536876930]],["^15",[941,"^Q","",536876931]],["^15",[941,"^O","^16",536876931]],["^15",[941,"^N",20250717,536876931]],["^15",[941,"^@",true,536876931]],["^15",[941,"^F",940,536876931]],["^15",[941,"^X",940,536876931]],["^15",[941,"^V",940,536876931]],["^15",[941,"^U",940,536876932]],["^15",[941,"^?",["^ "],536876931]],["^15",[941,"^;","~u6878f51a-d5b9-4b17-81c9-8b218dd51bec",536876931]],["^15",[944,"^Q","Betrachtet man das Problem des Urheberrechts im Bezug auf Kuenstliche Inteltgenz muss zwischen zwei verschiedenen bereichen unterschieden werden;",536878665]],["^15",[944,"^O","^16",536876968]],["^15",[944,"^F",991,536878647]],["^15",[944,"^X",346,536876968]],["^15",[944,"^V",991,536878647]],["^15",[944,"^U",4,536876969]],["^15",[944,"^U",298,536876969]],["^15",[944,"^U",346,536876969]],["^15",[944,"^?",["^ "],536878665]],["^15",[944,"^;","~u6878f651-76ef-48d3-90ab-3a2d24afcea5",536876968]],["^15",[945,"^Q","Auswirkung auf die 'klassische' Kunst-comunity und Autor*in",536877181]],["^15",[945,"^O","^16",536876970]],["^15",[945,"^F",981,536882334]],["^15",[945,"^X",346,536876970]],["^15",[945,"^V",991,536878647]],["^15",[945,"^U",4,536876971]],["^15",[945,"^U",298,536876971]],["^15",[945,"^U",346,536876971]],["^15",[945,"^;","~u6878f651-83e6-4a6d-8048-2434bfa8f256",536876970]],["^15",[946,"^Q","Welches Material darf, wie, zum Trainieren eines AI Modells genutzt werden?\nlogseq.order-list-type:: number",536877125]],["^15",[946,"^O","^16",536877025]],["^15",[946,"^F",944,536877025]],["^15",[946,"^X",346,536877025]],["^15",[946,"^V",944,536877029]],["^15",[946,"^U",4,536878666]],["^15",[946,"^U",298,536878666]],["^15",[946,"^U",346,536878666]],["^15",[946,"^?",["^ ","^1C","number"],536878647]],["^15",[946,"^J",["^1C"],536878647]],["^15",[946,"^4",["^ ","^1C","number"],536878647]],["^15",[946,"^;","~u6878f739-5bf6-403b-ba3b-31b55e069ad5",536877025]],["^15",[947,"^Q","Wer ist der Autor von einem AI generierten Produkt?\nlogseq.order-list-type:: number",536877108]],["^15",[947,"^O","^16",536877077]],["^15",[947,"^F",946,536877115]],["^15",[947,"^X",346,536877077]],["^15",[947,"^V",944,536877077]],["^15",[947,"^U",4,536878666]],["^15",[947,"^U",298,536878666]],["^15",[947,"^U",346,536878666]],["^15",[947,"^?",["^ ","^1C","number"],536878647]],["^15",[947,"^J",["^1C"],536878647]],["^15",[947,"^4",["^ ","^1C","number"],536878647]],["^15",[947,"^;","~u6878f772-9943-47c0-a283-c82c9966b0cd",536877077]],["^15",[948,"^Q","",536877118]],["^15",[948,"^O","^16",536877111]],["^15",[948,"^F",946,536877111]],["^15",[948,"^X",346,536877111]],["^15",[948,"^V",946,536877115]],["^15",[948,"^U",4,536878666]],["^15",[948,"^U",298,536878666]],["^15",[948,"^U",346,536878666]],["^15",[948,"^;","~u6878f78b-da83-4c61-8686-2db38c68fac5",536877111]],["^15",[949,"^Q","Für viele Kunstschaffenden sorgt ein sicheres Urheberrecht für die Wertschätzung die sie verdienen, auch durch entsprechende Entlohnung sollten dritte durch die Verwendung ihres Werkes profitieren. Dies schafft überhaupt erst den Anreiz das Werk zu erschaffen, über die lose Idee hinaus zu gehen. Obgleich man großen Unternehmen wie Nintendo, Niantic oder Disney einen fragwürdigen Umgang bis zum missbrauch des Urheberrechts u.a. durch das verhindern von Comunity geführten Projekten vorwerfen kann (und sollte), muss die Sinnhaftigkeit des Urheberrechts für allein agierende Personen bedacht bleiben. Um ihnen ein Überleben im aktuellen Wirtschaftssystem zu ermöglichen.\nDaher sollte es kritisch betrachtet werden, wenn AI die zunehmende Nichtigkeit des digitalen Besitztumes weiter vorantreibt, indem sie in der Lage ist ganze Style einzelner Künstler nach zu ahmen und das in einer weise tut, die anders als bei der Appropriations Kunst nicht den Kopiervorgang selbst in den Mittelpunkt stellt sondern das Endergebnis.",536881514]],["^15",[949,"^O","^16",536877173]],["^15",[949,"^F",945,536877173]],["^15",[949,"^X",346,536877173]],["^15",[949,"^V",945,536877177]],["^15",[949,"^U",4,536882335]],["^15",[949,"^U",298,536882335]],["^15",[949,"^U",346,536882335]],["^15",[949,"^?",["^ "],536881514]],["^15",[949,"^;","~u6878f822-3a9e-4ade-9901-642793656318",536877173]],["^15",[955,"^U",4,536877933]],["^15",[955,"^U",298,536877933]],["^15",[955,"^U",346,536877933]],["^15",[956,"^U",4,536878274]],["^15",[956,"^U",298,536878274]],["^15",[956,"^U",346,536878274]],["^15",[957,"^Q","Andersherum muss auch bedachte werden das Ai wie auch die meisten zuvor kommenden Technologien die Menschen, gerade jene in ärmeren Gesellschaftsschichten, befähigt. Das Telefon ermöglichte eine schnelle Kommunikation, ohne einen Boten schicken zu müssen, das Internet ermöglichte den freien Zugang zu wissen über unzählige Teilgebiete und nun ermöglicht die AI Einzelpersonen von einer Spezialisierten, wenn auch imperfekte, zusätzlichen Arbeitskraft zu profitieren. und so schneller oder grösser Projekte zum Abschluss zu bringen.",536882005]],["^15",[957,"^O","^16",536878281]],["^15",[957,"^F",1133,536881790]],["^15",[957,"^X",346,536878281]],["^15",[957,"^V",945,536878281]],["^15",[957,"^U",4,536882335]],["^15",[957,"^U",298,536882335]],["^15",[957,"^U",346,536882335]],["^15",[957,"^?",["^ "],536882005]],["^15",[957,"^;","~u68790968-e239-446b-9d92-67cdb1340ffc",536878281]],["^15",[960,"^12",2,536878635]],["^15",[961,"^12",2,536878640]],["^15",[962,"^K",1753096750225,536878641]],["^15",[962,"^O","^16",536878641]],["^15",[962,"^N",20250721,536878641]],["^15",[962,"^@",true,536878641]],["^15",[962,"^Y","2025/07/21",536878641]],["^15",[962,"^A",19,536878641]],["^15",[962,"^11","2025/07/21",536878641]],["^15",[962,"^B",1753096750225,536878641]],["^15",[962,"^;","~u687e222e-a654-4365-8615-3a28d917c743",536878641]],["^15",[963,"^Q","",536878642]],["^15",[963,"^O","^16",536878642]],["^15",[963,"^N",20250721,536878642]],["^15",[963,"^@",true,536878642]],["^15",[963,"^F",962,536878642]],["^15",[963,"^X",962,536878642]],["^15",[963,"^V",962,536878642]],["^15",[963,"^U",962,536878643]],["^15",[963,"^?",["^ "],536878642]],["^15",[963,"^;","~u687e222e-42a1-447f-95bd-e10cf96174d3",536878642]],["^15",[964,"^3","- https://open-access.network/informieren/open-access-in-fachdisziplinen/kuenstlerische-faecher\n  https://www.museum.de/blog/open-access-zugang-zu-oeffentlichen-bildern-aus-museen/\n  https://de.wikipedia.org/wiki/Appropriation_Art\n  https://www.zeit.de/digital/internet/2024-11/ki-musik-spotify-streaming-plattform\n  https://www.bigtechnology.com/p/spotifys-plans-for-ai-generated-music\n-\n- TODO Urheber eines KI Generierten werkes: Nach\n\t- US Copyright Office Bericht\n\t\t- Kein anspruch auf Copyright wenn volständig mit KI generiert wurde\n\t\t- (teilweise) Anspruch wenn Kokreation, Menschliche/Maschinelle Arbeit müssen voneinander trennbar sein\n\t- https://iartificial.blog/de/Automatisierung/Urheberrecht-im-Zeitalter-der-KI,-wer-der-wahre-Autor-ist/\n\t- https://www.derstandard.de/story/2000144311970/wer-ist-urheber-eines-ki-werkes\n\t\t- EU richtlinien, Copyright Ai?\n\t- Nach EU:\n\t\t- https://www.iit-berlin.de/wp-content/uploads/2025/02/2025-03-iit-perspektive-Urheberrecht_KI_Beitraege_V05.pdf\n\t\t- Schopfung von Medien kann reihc menschlicher verdienst sein, d.h. kein Urheberrecht fuer Ki generationen\n\t\t\t- jene Autoren mit welchen das Modell trainiert wurde haben auch kein Urheberrecht an generierten bildern, es findet keine kopier/reproduziervorgang statt\n\t\t\t- Anweisungen welche an AI gegeben werden nicht urheberrechtlich geschutzt, Anweisender Nutzer gibt AI lediglich befehle > hat auch kein Urheberrecht\n\t\t\t- Entwichler der Modelle haben selbst auch kein recht am generierten werk, sie schufen lediglich die Logik mit jener eine generation erfolgte\n\t\t- Mass durch mindestmass an kreativer Originalitaet/persönliche geistige Schöpfungen eines Menschen kann Urheberecht entstehen (mindestmass ist einzelfall abhaenig, jedoch ist das blosse kuerzen oder umformulieren nicht schuetzbar)\n\t- https://www.din.de/resource/blob/1142062/df54d68d11749518302993d7976222a5/open-session-rechtliche-dimensionen-von-ki-data.pdf\n\t- EU-Urheberrecht noch keine expliziete Gesetzesgrundlage\n\t\t- EuGh: Persoenlichketi des Autors muss widergespiegelt werden, ergebniss der geistigen Schoepfung des Urhebers\n\t\t- Unterscheliche Deutung zu vorherigen: Schutz moeglich wenn Prompt und Output originell sind > d.h. personlichkeit des Autors iwderspiegelt\n\t\t\t- kein schutz wenn: Referenzfoto, stylwahl > output; ausslieslich Ki Kreative Entscheidung getroffen hat\n\t\t\t- Schutz wenn: idee, eigenen Prompt verfasst (d.h. Mensch ausreichend kreative Entscheidungen getroffen hat) > outputt\n\t- Urheberrechtsverletzung KI output\n\t\t- Liegt vor wenn: KI eine kopie oder widererkennabres werk des originals erstellt und das Original im trainingsdatensatz vorhanden ist\n\t\t\t- zufaelige doppelschopfungen sind keine Urheberrechtsverlaetzung (muss gezeigt werden das Original nicht im Trainingsdatensatz)\n\t-\n- Urheberrecht Training der AI\n\t- Erneut keine expliziete gesetzesgrunbdlage, angenommen Urhebergesetz ueber Datamining greift\n\t- Auch Urheberrechtlich geschuetzte Daten durefen zum training verwendet werden, solange: kein einspruch, in maschienenlesbarer Form vorliegt, die inhalte Rechtmaesig im Internet stehen, keine Zugangskontrolierenden massnahmen umgangen werden",536879436]],["^15",[964,"^17",1753096750866,536878644]],["^15",[964,"^18","~m1753102790161",536879435]],["^15",[964,"^Z","pages/Urheberrecht %23Note.md",536879013]],["^15",[965,"^K",1753096750864,536878644]],["^15",[965,"^[",964,536878644]],["^15",[965,"^@",false,536878644]],["^15",[965,"^Y","urheberrecht #note",536879012]],["^15",[965,"^11","Urheberrecht #Note",536879012]],["^15",[965,"^B",1753102789463,536879434]],["^15",[965,"^;","~u687e222e-f5e4-45c4-ab2b-415cdd0c98f6",536878647]],["^15",[966,"^Q","https://iartificial.blog/de/Automatisierung/Urheberrecht-im-Zeitalter-der-KI,-wer-der-wahre-Autor-ist/",536878644]],["^15",[966,"^O","^16",536878644]],["^15",[966,"^F",998,536878706]],["^15",[966,"^X",965,536878644]],["^15",[966,"^V",975,536878644]],["^15",[966,"^U",4,536878693]],["^15",[966,"^U",965,536878693]],["^15",[966,"^;","~u687e222e-95bd-4472-8c73-bb54e72aa3e0",536878644]],["^15",[968,"^Q","Kein anspruch auf Copyright wenn volständig mit KI generiert wurde",536878644]],["^15",[968,"^O","^16",536878644]],["^15",[968,"^F",998,536878696]],["^15",[968,"^X",965,536878644]],["^15",[968,"^V",998,536878703]],["^15",[968,"^U",4,536878693]],["^15",[968,"^U",965,536878693]],["^15",[968,"^;","~u687e222e-3536-4d05-94aa-00bb22b8e27c",536878644]],["^15",[969,"^Q","",536878644]],["^15",[969,"^O","^16",536878644]],["^15",[969,"^F",973,536878644]],["^15",[969,"^X",965,536878644]],["^15",[969,"^V",965,536878644]],["^15",[969,"^U",965,536878644]],["^15",[969,"^;","~u687e222e-0188-426a-af72-cc30d9e71365",536878644]],["^15",[972,"^Q","(teilweise) Anspruch wenn Kokreation, Menschliche/Maschinelle Arbeit müssen voneinander trennbar sein",536878644]],["^15",[972,"^O","^16",536878644]],["^15",[972,"^F",968,536878706]],["^15",[972,"^X",965,536878644]],["^15",[972,"^V",998,536878706]],["^15",[972,"^U",4,536878693]],["^15",[972,"^U",965,536878693]],["^15",[972,"^;","~u687e222e-5114-4b09-84a3-e14eab22483d",536878644]],["^15",[973,"^Q","https://open-access.network/informieren/open-access-in-fachdisziplinen/kuenstlerische-faecher\nhttps://www.museum.de/blog/open-access-zugang-zu-oeffentlichen-bildern-aus-museen/\nhttps://de.wikipedia.org/wiki/Appropriation_Art\nhttps://www.zeit.de/digital/internet/2024-11/ki-musik-spotify-streaming-plattform\nhttps://www.bigtechnology.com/p/spotifys-plans-for-ai-generated-music",536878644]],["^15",[973,"^O","^16",536878644]],["^15",[973,"^F",965,536878644]],["^15",[973,"^X",965,536878644]],["^15",[973,"^V",965,536878644]],["^15",[973,"^U",965,536878644]],["^15",[973,"^;","~u687e222e-245a-4f56-8dc3-885145993206",536878644]],["^15",[974,"^Q","EU richtlinien, Copyright Ai?",536878644]],["^15",[974,"^O","^16",536878644]],["^15",[974,"^F",976,536878644]],["^15",[974,"^X",965,536878644]],["^15",[974,"^V",976,536878644]],["^15",[974,"^U",4,536878693]],["^15",[974,"^U",965,536878693]],["^15",[974,"^;","~u687e222e-2dc6-4871-9641-8e17d6e93d86",536878644]],["^15",[975,"^Q","TODO Urheber eines KI Generierten werkes: Nach",536878692]],["^15",[975,"^O","^16",536878644]],["^15",[975,"^F",969,536879009]],["^15",[975,"^10","TODO",536879009]],["^15",[975,"^X",965,536878644]],["^15",[975,"^V",965,536878644]],["^15",[975,"^U",4,536878644]],["^15",[975,"^U",965,536878644]],["^15",[975,"^?",["^ 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"],536882333]],["^15",[981,"^;","~u687e222e-e375-47d9-b165-015501f70e7c",536878647]],["^15",[982,"^Q","",536878647]],["^15",[982,"^O","^16",536878647]],["^15",[982,"^F",985,536878647]],["^15",[982,"^X",346,536878647]],["^15",[982,"^V",346,536878647]],["^15",[982,"^U",346,536878647]],["^15",[982,"^;","~u687e222e-1eee-493d-ad43-129a6765b972",536878647]],["^15",[983,"^Q","https://www.tu.berlin/ub/forschen-publizieren/wissenswertes-fuer-autorinnen/rechtliche-fragen",536878647]],["^15",[983,"^O","^16",536878647]],["^15",[983,"^F",992,536878647]],["^15",[983,"^X",346,536878647]],["^15",[983,"^V",988,536878647]],["^15",[983,"^U",4,536882221]],["^15",[983,"^U",298,536882221]],["^15",[983,"^U",346,536882221]],["^15",[983,"^;","~u687e222e-b742-499a-9d45-b719e0a0454c",536878647]],["^15",[984,"^Q","",536878647]],["^15",[984,"^O","^16",536878647]],["^15",[984,"^F",988,536878647]],["^15",[984,"^X",346,536878647]],["^15",[984,"^V",991,536878647]],["^15",[984,"^U",4,536878647]],["^15",[984,"^U",298,536878647]],["^15",[984,"^U",346,536878647]],["^15",[984,"^;","~u687e222e-95ec-4b7a-acff-4ea40f78f357",536878647]],["^15",[985,"^Q","",536878647]],["^15",[985,"^O","^16",536878647]],["^15",[985,"^F",991,536878647]],["^15",[985,"^X",346,536878647]],["^15",[985,"^V",346,536878647]],["^15",[985,"^U",346,536878647]],["^15",[985,"^;","~u687e222e-d531-4091-b1ec-a38fe8f1f30c",536878647]],["^15",[986,"^Q","Zudem ist zu bedenken das der neo-liberale Kapitalismus, was besonders deutlich wird betrachtet man die Großunternehmen der Gaming-Industrie, ganz nach Wirtschaftlichen Prinzip, möglichst viel Kunst, natürlich (zumindest scheinbar) originell, in einer möglichst kurzen Zeit produziert sehen möchten: der Gewinnmaximierung wegen. Dies übt zusätzlich immensen druck auf Künstler, auch im free-lancing bereich, aus welche nun mit einer Technologie in Konkurrenz stehen gegen die sie quantitative und fortschreitend auch qualitative immer weniger Chanen haben. \nDie Geschwindigkeit dieser Entwicklung ist eminent, bedenkt mann das Spotify Ai generierte Cover und Songs in playlists und (durch externe Fehler) sogar Profile der Künstler\\*inen einbindet, durch deren Abspielen jedoch kein menschliche\\*r Künstler\\*in vergütet wird. Als weiters Bespiel: Stand Juli 2025 nutzen bereits über 7% aller auf Steam verfügbaren Spiele in irgend einer weise AI generierten Content.",536881638]],["^15",[986,"^O","^16",536878647]],["^15",[986,"^F",949,536878647]],["^15",[986,"^X",346,536878647]],["^15",[986,"^V",945,536878647]],["^15",[986,"^U",4,536882335]],["^15",[986,"^U",298,536882335]],["^15",[986,"^U",346,536882335]],["^15",[986,"^?",["^ "],536881638]],["^15",[986,"^;","~u687e222e-abf9-4ed3-a519-09f3ef610566",536878647]],["^15",[987,"^Q","https://open-access.network/en/information/subject-specific-open-access/arts",536878647]],["^15",[987,"^O","^16",536878647]],["^15",[987,"^F",983,536878647]],["^15",[987,"^X",346,536878647]],["^15",[987,"^V",988,536878647]],["^15",[987,"^U",4,536882221]],["^15",[987,"^U",298,536882221]],["^15",[987,"^U",346,536882221]],["^15",[987,"^;","~u687e222e-3903-40a5-bc7d-3a4173427cfb",536878647]],["^15",[988,"^Q","Additional sources:",536878647]],["^15",[988,"^O","^16",536878647]],["^15",[988,"^F",1136,536882220]],["^15",[988,"^X",346,536878647]],["^15",[988,"^V",991,536878647]],["^15",[988,"^U",4,536878647]],["^15",[988,"^U",298,536878647]],["^15",[988,"^U",346,536878647]],["^15",[988,"^;","~u687e222e-7ed1-4c8b-a662-caeb3a416b80",536878647]],["^15",[989,"^Q","https://www.computerbase.de/news/gaming/rasantes-wachstum-fast-10-000-spiele-auf-steam-nutzen-ki-inhalte.93565/",536881651]],["^15",[989,"^O","^16",536878647]],["^15",[989,"^F",987,536878647]],["^15",[989,"^X",346,536878647]],["^15",[989,"^V",988,536878647]],["^15",[989,"^U",4,536882221]],["^15",[989,"^U",298,536882221]],["^15",[989,"^U",346,536882221]],["^15",[989,"^?",["^ "],536881651]],["^15",[989,"^;","~u687e222e-b9a0-499f-949e-5191a7ada087",536878647]],["^15",[990,"^Q","[[Urheberrecht #Note]]",536879014]],["^15",[990,"^O","^16",536878647]],["^15",[990,"^F",355,536878647]],["^15",[990,"^X",346,536878647]],["^15",[990,"^V",370,536878647]],["^15",[990,"^U",346,536878647]],["^15",[990,"^U",965,536878647]],["^15",[990,"^H",965,536878647]],["^15",[990,"^;","~u687e222e-df82-4167-a528-7db19e0dbeff",536878647]],["^15",[991,"^M",true,536878647]],["^15",[991,"^Q","TODO #Slide AI Autorenschaft\ncollapsed:: true",536878647]],["^15",[991,"^O","^16",536878647]],["^15",[991,"^F",376,536878647]],["^15",[991,"^10","TODO",536878647]],["^15",[991,"^X",346,536878647]],["^15",[991,"^V",346,536878647]],["^15",[991,"^U",4,536878647]],["^15",[991,"^U",298,536878647]],["^15",[991,"^U",346,536878647]],["^15",[991,"^?",["^ "],536878647]],["^15",[991,"^J",[],536878647]],["^15",[991,"^4",["^ "],536878647]],["^15",[991,"^H",4,536878647]],["^15",[991,"^H",298,536878647]],["^15",[991,"^;","~u687e222e-420e-4ce1-bb9e-033d9c531395",536878647]],["^15",[992,"^Q","https://www.ntp.org/",536878647]],["^15",[992,"^O","^16",536878647]],["^15",[992,"^F",980,536878647]],["^15",[992,"^X",346,536878647]],["^15",[992,"^V",988,536878647]],["^15",[992,"^U",4,536882221]],["^15",[992,"^U",298,536882221]],["^15",[992,"^U",346,536882221]],["^15",[992,"^;","~u687e222e-06eb-4a4e-b195-72dfd9d5a918",536878647]],["^15",[993,"^Q","Ein Idee die Vergütung von Kunstschaffenden längerfristig zu sichern zeigt das Open Access movement auf. Bereits in der Forschung und Wissenschaft immer Beliebter werdend, publizieren Autoren ihre werke unter einer Lizenz (häufig Creative Commons) welche freien Zugriff auf das Werk unter Einhaltung bestimmter Bedienungen gewährt. So wird die Anerkennung des Ursprünglichen Autors gesichert. Ähnliches gibt es auch im Bereich der Informatik bei OpenSource/Free Software. Größere Projekte finanzieren sich dort durch Spenden artige beigräte von Unternehmen, Staatlichen zuschüssen und Privatpersonen. Wobei es auch hier immer wider vorkommt, das selbst kritische Projekte und deren Entwickler viel zu wenig Finanzielle Unterstützung erhalten. So hat das NTP Project welches Zeitsynchronisierung auf den meisten Geräten ermöglicht im Juni lediglich \\$165/\\$1000 gespendet bekommen.",536881789]],["^15",[993,"^O","^16",536878647]],["^15",[993,"^F",1132,536881641]],["^15",[993,"^X",346,536878647]],["^15",[993,"^V",945,536878647]],["^15",[993,"^U",4,536882335]],["^15",[993,"^U",298,536882335]],["^15",[993,"^U",346,536882335]],["^15",[993,"^?",["^ "],536881789]],["^15",[993,"^;","~u687e222e-513b-46e9-9f5f-b568b913586f",536878647]],["^15",[995,"^Q","Nach EU:",536878709]],["^15",[995,"^O","^16",536878673]],["^15",[995,"^F",976,536878677]],["^15",[995,"^X",965,536878673]],["^15",[995,"^V",975,536878677]],["^15",[995,"^U",4,536878693]],["^15",[995,"^U",965,536878693]],["^15",[995,"^?",["^ "],536878709]],["^15",[995,"^;","~u687e2775-1f1f-497a-a325-75fe877a0c2b",536878673]],["^15",[996,"^Q","Urheberrecht Training der AI",536879034]],["^15",[996,"^O","^16",536878678]],["^15",[996,"^F",975,536878684]],["^15",[996,"^X",965,536878678]],["^15",[996,"^V",965,536878684]],["^15",[996,"^U",965,536878685]],["^15",[996,"^?",["^ "],536879034]],["^15",[996,"^;","~u687e2776-d39d-44d0-8595-81458aa6e1de",536878678]],["^15",[997,"^Q","jene Autoren mit welchen das Modell trainiert wurde haben auch kein Urheberrecht an generierten bildern, es findet keine kopier/reproduziervorgang statt",536878813]],["^15",[997,"^O","^16",536878688]],["^15",[997,"^F",999,536878735]],["^15",[997,"^X",965,536878688]],["^15",[997,"^V",999,536878916]],["^15",[997,"^U",4,536879288]],["^15",[997,"^U",965,536879288]],["^15",[997,"^?",["^ "],536878813]],["^15",[997,"^;","~u687e2779-1077-4dc2-94da-842eb6f2a03c",536878688]],["^15",[998,"^Q","US Copyright Office Bericht",536878700]],["^15",[998,"^O","^16",536878696]],["^15",[998,"^F",975,536878696]],["^15",[998,"^X",965,536878696]],["^15",[998,"^V",975,536878696]],["^15",[998,"^U",4,536878697]],["^15",[998,"^U",965,536878697]],["^15",[998,"^?",["^ "],536878700]],["^15",[998,"^;","~u687e2780-51cd-4f52-ad22-16c6187b3fd0",536878696]],["^15",[999,"^Q","Schopfung von Medien kann reihc menschlicher verdienst sein, d.h. kein Urheberrecht fuer Ki generationen",536878732]],["^15",[999,"^O","^16",536878709]],["^15",[999,"^F",1026,536879287]],["^15",[999,"^X",965,536878709]],["^15",[999,"^V",995,536878711]],["^15",[999,"^U",4,536878710]],["^15",[999,"^U",965,536878710]],["^15",[999,"^?",["^ "],536879177]],["^15",[999,"^;","~u687e278a-836e-4500-9953-4cac6b89037b",536878709]],["^15",[1000,"^Q","Entwichler der Modelle haben selbst auch kein recht am generierten werk, sie schufen lediglich die Logik mit jener eine generation erfolgte",536878850]],["^15",[1000,"^O","^16",536878777]],["^15",[1000,"^F",1003,536878922]],["^15",[1000,"^X",965,536878777]],["^15",[1000,"^V",999,536878922]],["^15",[1000,"^U",4,536879288]],["^15",[1000,"^U",965,536879288]],["^15",[1000,"^?",["^ "],536878850]],["^15",[1000,"^;","~u687e28dc-336c-4345-91a0-84f3d141509e",536878777]],["^15",[1003,"^Q","Anweisungen welche an AI gegeben werden nicht urheberrechtlich geschutzt, Anweisender Nutzer gibt AI lediglich befehle > hat auch kein Urheberrecht",536878832]],["^15",[1003,"^O","^16",536878813]],["^15",[1003,"^F",997,536878919]],["^15",[1003,"^X",965,536878813]],["^15",[1003,"^V",999,536878919]],["^15",[1003,"^U",4,536879288]],["^15",[1003,"^U",965,536879288]],["^15",[1003,"^?",["^ "],536878832]],["^15",[1003,"^;","~u687e2917-b2a5-4e03-b9e9-4363be957ee9",536878813]],["^15",[1007,"^Q","Mass durch mindestmass an kreativer Originalitaet/persönliche geistige Schöpfungen eines Menschen kann Urheberecht entstehen (mindestmass ist einzelfall abhaenig, jedoch ist das blosse kuerzen oder umformulieren nicht schuetzbar)",536879112]],["^15",[1007,"^O","^16",536878925]],["^15",[1007,"^F",999,536878929]],["^15",[1007,"^X",965,536878925]],["^15",[1007,"^V",995,536878929]],["^15",[1007,"^U",4,536878926]],["^15",[1007,"^U",965,536878926]],["^15",[1007,"^?",["^ "],536879112]],["^15",[1007,"^;","~u687e2dc0-d092-467f-a047-6f22bc1cb98b",536878925]],["^15",[1009,"^Q","Erneut keine expliziete gesetzesgrunbdlage, angenommen Urhebergesetz ueber Datamining greift",536879063]],["^15",[1009,"^O","^16",536879034]],["^15",[1009,"^F",996,536879034]],["^15",[1009,"^X",965,536879034]],["^15",[1009,"^V",996,536879038]],["^15",[1009,"^U",965,536879035]],["^15",[1009,"^?",["^ 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"],536879109]],["^15",[1011,"^;","~u687e34b3-19ff-447f-9e0a-787b45f06da4",536879063]],["^15",[1020,"^Q","EU-Urheberrecht noch keine expliziete Gesetzesgrundlage",536879205]],["^15",[1020,"^O","^16",536879199]],["^15",[1020,"^F",1025,536879277]],["^15",[1020,"^X",965,536879199]],["^15",[1020,"^V",975,536879199]],["^15",[1020,"^U",4,536879200]],["^15",[1020,"^U",965,536879200]],["^15",[1020,"^?",["^ "],536879199]],["^15",[1020,"^;","~u687e36d8-30ce-4f88-9550-026dbe4242ee",536879205]],["^15",[1021,"^Q","EuGh: Persoenlichketi des Autors muss widergespiegelt werden, ergebniss der geistigen Schoepfung des Urhebers",536879205]],["^15",[1021,"^O","^16",536879205]],["^15",[1021,"^F",1020,536879205]],["^15",[1021,"^X",965,536879205]],["^15",[1021,"^V",1020,536879205]],["^15",[1021,"^U",4,536879278]],["^15",[1021,"^U",965,536879278]],["^15",[1021,"^?",["^ "],536879205]],["^15",[1021,"^;","~u687e36fa-b829-47bc-97fe-ef22cf0f191c",536879205]],["^15",[1022,"^Q","Unterscheliche Deutung zu vorherigen: Schutz moeglich wenn Prompt und Output originell sind > d.h. personlichkeit des Autors iwderspiegelt",536879236]],["^15",[1022,"^O","^16",536879205]],["^15",[1022,"^F",1021,536879205]],["^15",[1022,"^X",965,536879205]],["^15",[1022,"^V",1020,536879205]],["^15",[1022,"^U",4,536879278]],["^15",[1022,"^U",965,536879278]],["^15",[1022,"^?",["^ "],536879236]],["^15",[1022,"^;","~u687e3761-499e-4f77-a7b9-a2c5830d94c4",536879205]],["^15",[1023,"^Q","kein schutz wenn: Referenzfoto, stylwahl > output; ausslieslich Ki Kreative Entscheidung getroffen hat",536879315]],["^15",[1023,"^O","^16",536879239]],["^15",[1023,"^F",1022,536879239]],["^15",[1023,"^X",965,536879239]],["^15",[1023,"^V",1022,536879241]],["^15",[1023,"^U",4,536879278]],["^15",[1023,"^U",965,536879278]],["^15",[1023,"^?",["^ "],536879315]],["^15",[1023,"^;","~u687e37c0-7fb7-4b56-b162-698fa7f925b0",536879239]],["^15",[1024,"^Q","Schutz wenn: idee, eigenen Prompt verfasst (d.h. 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originals erstellt und das Original im trainingsdatensatz vorhanden ist",536879409]],["^15",[1028,"^O","^16",536879357]],["^15",[1028,"^F",1027,536879357]],["^15",[1028,"^X",965,536879357]],["^15",[1028,"^V",1027,536879359]],["^15",[1028,"^U",4,536879358]],["^15",[1028,"^U",965,536879358]],["^15",[1028,"^?",["^ "],536879409]],["^15",[1028,"^;","~u687e388b-86f9-4040-970d-f82ae54302e3",536879357]],["^15",[1029,"^Q","zufaelige doppelschopfungen sind keine Urheberrechtsverlaetzung (muss gezeigt werden das Original nicht im Trainingsdatensatz)",536879434]],["^15",[1029,"^O","^16",536879409]],["^15",[1029,"^F",1028,536879409]],["^15",[1029,"^X",965,536879409]],["^15",[1029,"^V",1028,536879411]],["^15",[1029,"^U",4,536879410]],["^15",[1029,"^U",965,536879410]],["^15",[1029,"^?",["^ 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(or (page [[Other/Temp]]) (namespace [[Other/Temp]])))\n\t\t  }\n\t\t  #+END_QUERY\n\t- **Summery:**\n\t  background-color:: blue\n\t\t-\n\t- ---\n\t- # Topics\n\t\t- [[Birthday]]\n\t\t- [[Double Dabble Algorythmus]]",536879863]],["^15",[1045,"^18","~m1753132743505",536879862]],["^15",[1045,"^Z","pages/Other___Temp.md",536879447]],["^15",[1046,"^Q","[[Birthday]]",536879466]],["^15",[1046,"^O","^16",536879459]],["^15",[1046,"^F",1044,536879459]],["^15",[1046,"^X",1031,536879459]],["^15",[1046,"^V",1044,536879463]],["^15",[1046,"^U",441,536879467]],["^15",[1046,"^U",1031,536879467]],["^15",[1046,"^U",1047,536879467]],["^15",[1046,"^?",["^ "],536879466]],["^15",[1046,"^H",1047,536879466]],["^15",[1046,"^;","~u687e5c54-b500-4348-94e4-d044c1dbdc38",536879459]],["^15",[1047,"^K",1753111649926,536879466]],["^15",[1047,"^[",1050,536879479]],["^15",[1047,"^O","^16",536879474]],["^15",[1047,"^@",false,536879466]],["^15",[1047,"^Y","birthday",536879466]],["^15",[1047,"^11","Birthday",536879466]],["^15",[1047,"^B",1753112108397,536879851]],["^15",[1047,"^;","~u687e5c61-fe27-462d-aa40-c6f9506237f1",536879466]],["^15",[1048,"^Q","[[Double Dabble Algorythmus]]",536879860]],["^15",[1048,"^O","^16",536879470]],["^15",[1048,"^F",1046,536879470]],["^15",[1048,"^X",1031,536879470]],["^15",[1048,"^V",1044,536879470]],["^15",[1048,"^U",441,536879861]],["^15",[1048,"^U",1031,536879861]],["^15",[1048,"^U",1088,536879861]],["^15",[1048,"^?",["^ "],536879860]],["^15",[1048,"^H",1088,536879860]],["^15",[1048,"^;","~u687e5c62-9cac-4eb4-bec3-f541fdac2731",536879470]],["^15",[1049,"^Q","Kuchen",536879803]],["^15",[1049,"^O","^16",536879475]],["^15",[1049,"^@",false,536879475]],["^15",[1049,"^F",1071,536879665]],["^15",[1049,"^X",1047,536879475]],["^15",[1049,"^V",1071,536879672]],["^15",[1049,"^U",1047,536879497]],["^15",[1049,"^?",["^ "],536879803]],["^15",[1049,"^;","~u687e5c63-00cb-40be-8629-74413c6ed59e",536879475]],["^15",[1050,"^3","## Essen\n\t- Kuchen\n\t\t- Blaubeertorte\n\t\t- Irgendwas mit Streuseln\n\t\t- (karoten Muffins/cup caces) oder Brownies\n\t- Abendessen\n\t\t- Wraps\n\t\t\t- Auberginen/Miso fuellung\n\t\t\t- Avocado dip\n\t\t\t- Jogurt dip\n\t\t\t- (Humus?)\n\t\t\t- -> normale Topings\n\t- Getraenke\n\t\t- 2 Kaesten Spezi\n\t\t- Auswahl an Mio/Fritz\n\t\t- Hemelinger/Kronbacher\n\t\t- Aperol/Sekt/Sprite\n\t\t\t- ggf. 1x Shots\n\t- Nebenbei\n\t\t- Stockbrot\n\t\t- Salzstangen\n\t\t- (Random andere Sachen)\n- ### Spiele\n\t- Werwolf\n\t- Spikeball",536879856]],["^15",[1050,"^18","~m1753112112153",536879855]],["^15",[1050,"^Z","pages/Birthday.md",536879479]],["^15",[1053,"^Q","Blaubeertorte",536879517]],["^15",[1053,"^O","^16",536879500]],["^15",[1053,"^@",false,536879500]],["^15",[1053,"^F",1049,536879500]],["^15",[1053,"^X",1047,536879500]],["^15",[1053,"^V",1049,536879504]],["^15",[1053,"^U",1047,536879804]],["^15",[1053,"^?",["^ "],536879517]],["^15",[1053,"^;","~u687e5c6e-20b8-4425-b1cf-b745af135108",536879500]],["^15",[1055,"^Q","Irgendwas mit Streuseln",536879530]],["^15",[1055,"^O","^16",536879526]],["^15",[1055,"^@",false,536879526]],["^15",[1055,"^F",1053,536879526]],["^15",[1055,"^X",1047,536879526]],["^15",[1055,"^V",1049,536879526]],["^15",[1055,"^U",1047,536879804]],["^15",[1055,"^?",["^ "],536879530]],["^15",[1055,"^;","~u687e5c7f-c582-4a39-a151-8253b660b333",536879526]],["^15",[1056,"^Q","(karoten Muffins/cup caces) oder Brownies",536879842]],["^15",[1056,"^O","^16",536879530]],["^15",[1056,"^@",false,536879530]],["^15",[1056,"^F",1055,536879530]],["^15",[1056,"^X",1047,536879530]],["^15",[1056,"^V",1049,536879530]],["^15",[1056,"^U",1047,536879804]],["^15",[1056,"^?",["^ "],536879842]],["^15",[1056,"^;","~u687e5c84-3020-4d1b-875f-366831f94861",536879530]],["^15",[1057,"^Q","Abendessen",536879563]],["^15",[1057,"^O","^16",536879546]],["^15",[1057,"^@",false,536879546]],["^15",[1057,"^F",1049,536879676]],["^15",[1057,"^X",1047,536879546]],["^15",[1057,"^V",1071,536879676]],["^15",[1057,"^U",1047,536879547]],["^15",[1057,"^?",["^ "],536879563]],["^15",[1057,"^;","~u687e5c95-ad97-451a-ab95-0e4bcaaefb88",536879546]],["^15",[1058,"^Q","Wraps",536879567]],["^15",[1058,"^O","^16",536879556]],["^15",[1058,"^@",false,536879556]],["^15",[1058,"^F",1057,536879556]],["^15",[1058,"^X",1047,536879556]],["^15",[1058,"^V",1057,536879560]],["^15",[1058,"^U",1047,536879677]],["^15",[1058,"^?",["^ "],536879567]],["^15",[1058,"^;","~u687e5c9b-0348-42d5-ab91-c442892375d3",536879556]],["^15",[1059,"^Q","Auberginen/Miso fuellung",536879583]],["^15",[1059,"^O","^16",536879570]],["^15",[1059,"^@",false,536879570]],["^15",[1059,"^F",1058,536879570]],["^15",[1059,"^X",1047,536879570]],["^15",[1059,"^V",1058,536879574]],["^15",[1059,"^U",1047,536879677]],["^15",[1059,"^?",["^ "],536879583]],["^15",[1059,"^;","~u687e5ca5-9155-4d6b-9e41-15d414d46479",536879570]],["^15",[1066,"^Q","Avocado dip",536879626]],["^15",[1066,"^O","^16",536879607]],["^15",[1066,"^@",false,536879607]],["^15",[1066,"^F",1059,536879607]],["^15",[1066,"^X",1047,536879607]],["^15",[1066,"^V",1058,536879607]],["^15",[1066,"^U",1047,536879677]],["^15",[1066,"^?",["^ "],536879626]],["^15",[1066,"^;","~u687e5cfb-29f5-40d0-8387-2ef18e0ed379",536879607]],["^15",[1067,"^Q","Jogurt dip",536879630]],["^15",[1067,"^O","^16",536879626]],["^15",[1067,"^@",false,536879626]],["^15",[1067,"^F",1066,536879626]],["^15",[1067,"^X",1047,536879626]],["^15",[1067,"^V",1058,536879626]],["^15",[1067,"^U",1047,536879677]],["^15",[1067,"^?",["^ "],536879630]],["^15",[1067,"^;","~u687e5d0c-6a02-4385-8ef5-4a128d0c543d",536879626]],["^15",[1068,"^Q","(Humus?)",536879640]],["^15",[1068,"^O","^16",536879630]],["^15",[1068,"^@",false,536879630]],["^15",[1068,"^F",1067,536879630]],["^15",[1068,"^X",1047,536879630]],["^15",[1068,"^V",1058,536879630]],["^15",[1068,"^U",1047,536879677]],["^15",[1068,"^?",["^ "],536879640]],["^15",[1068,"^;","~u687e5d0f-52f3-477a-838f-98717ac62c32",536879630]],["^15",[1069,"^Q","-> normale Topings",536879651]],["^15",[1069,"^O","^16",536879641]],["^15",[1069,"^@",false,536879641]],["^15",[1069,"^F",1068,536879641]],["^15",[1069,"^X",1047,536879641]],["^15",[1069,"^V",1058,536879641]],["^15",[1069,"^U",1047,536879677]],["^15",[1069,"^?",["^ "],536879651]],["^15",[1069,"^;","~u687e5d16-6c51-4390-9e50-c21144af8382",536879641]],["^15",[1070,"^Q","### Spiele",536879680]],["^15",[1070,"^O","^16",536879651]],["^15",[1070,"^@",false,536879651]],["^15",[1070,"^F",1071,536879676]],["^15",[1070,"^X",1047,536879651]],["^15",[1070,"^V",1047,536879662]],["^15",[1070,"^U",1047,536879652]],["^15",[1070,"^?",["^ ","^1;",3],536879680]],["^15",[1070,"^J",["^14",[]],536879680]],["^15",[1070,"^;","~u687e5d22-2c43-4629-8e5d-3f006b7e9652",536879651]],["^15",[1071,"^Q","## Essen",536879669]],["^15",[1071,"^O","^16",536879665]],["^15",[1071,"^@",false,536879665]],["^15",[1071,"^F",1047,536879665]],["^15",[1071,"^X",1047,536879665]],["^15",[1071,"^V",1047,536879665]],["^15",[1071,"^U",1047,536879666]],["^15",[1071,"^?",["^ ","^1;",2],536879669]],["^15",[1071,"^J",["^14",[]],536879669]],["^15",[1071,"^;","~u687e5d33-4555-4f24-a921-eb2edc82e91f",536879665]],["^15",[1072,"^Q","Werwolf",536879687]],["^15",[1072,"^O","^16",536879680]],["^15",[1072,"^@",false,536879680]],["^15",[1072,"^F",1070,536879680]],["^15",[1072,"^X",1047,536879680]],["^15",[1072,"^V",1070,536879682]],["^15",[1072,"^U",1047,536879681]],["^15",[1072,"^?",["^ "],536879687]],["^15",[1072,"^;","~u687e5d44-a7cd-44ea-b571-36812f2f4788",536879680]],["^15",[1073,"^Q","Spikeball",536879694]],["^15",[1073,"^O","^16",536879690]],["^15",[1073,"^@",false,536879690]],["^15",[1073,"^F",1072,536879690]],["^15",[1073,"^X",1047,536879690]],["^15",[1073,"^V",1070,536879690]],["^15",[1073,"^U",1047,536879691]],["^15",[1073,"^?",["^ "],536879694]],["^15",[1073,"^;","~u687e5d49-300a-4d15-b77d-ee5b72f21c78",536879690]],["^15",[1075,"^Q","Getraenke",536879807]],["^15",[1075,"^O","^16",536879698]],["^15",[1075,"^@",false,536879698]],["^15",[1075,"^F",1057,536879705]],["^15",[1075,"^X",1047,536879698]],["^15",[1075,"^V",1071,536879705]],["^15",[1075,"^U",1047,536879699]],["^15",[1075,"^?",["^ "],536879807]],["^15",[1075,"^;","~u687e5d56-eef0-488c-90a7-7272e868a519",536879698]],["^15",[1076,"^Q","2 Kaesten Spezi",536879730]],["^15",[1076,"^O","^16",536879720]],["^15",[1076,"^@",false,536879720]],["^15",[1076,"^F",1075,536879720]],["^15",[1076,"^X",1047,536879720]],["^15",[1076,"^V",1075,536879722]],["^15",[1076,"^U",1047,536879808]],["^15",[1076,"^?",["^ "],536879730]],["^15",[1076,"^;","~u687e5d5f-7500-4e7a-8e26-d8e710bce547",536879720]],["^15",[1077,"^Q","Hemelinger/Kronbacher",536879737]],["^15",[1077,"^O","^16",536879730]],["^15",[1077,"^@",false,536879730]],["^15",[1077,"^F",1082,536879780]],["^15",[1077,"^X",1047,536879730]],["^15",[1077,"^V",1075,536879730]],["^15",[1077,"^U",1047,536879808]],["^15",[1077,"^?",["^ "],536879737]],["^15",[1077,"^;","~u687e5d65-b24f-4e97-9c73-ec26cdaa9e54",536879730]],["^15",[1079,"^Q","Aperol/Sekt/Sprite",536879760]],["^15",[1079,"^O","^16",536879744]],["^15",[1079,"^@",false,536879744]],["^15",[1079,"^F",1077,536879744]],["^15",[1079,"^X",1047,536879744]],["^15",[1079,"^V",1075,536879744]],["^15",[1079,"^U",1047,536879808]],["^15",[1079,"^?",["^ "],536879760]],["^15",[1079,"^;","~u687e5d78-1af2-4590-8b14-49729071021d",536879744]],["^15",[1080,"^Q","ggf. 1x Shots",536879773]],["^15",[1080,"^O","^16",536879760]],["^15",[1080,"^@",false,536879760]],["^15",[1080,"^F",1079,536879760]],["^15",[1080,"^X",1047,536879760]],["^15",[1080,"^V",1079,536879762]],["^15",[1080,"^U",1047,536879808]],["^15",[1080,"^?",["^ "],536879773]],["^15",[1080,"^;","~u687e5d80-1e4e-4aad-80d0-3beb95eba0f2",536879760]],["^15",[1082,"^Q","Auswahl an Mio/Fritz",536879787]],["^15",[1082,"^O","^16",536879780]],["^15",[1082,"^@",false,536879780]],["^15",[1082,"^F",1076,536879780]],["^15",[1082,"^X",1047,536879780]],["^15",[1082,"^V",1075,536879780]],["^15",[1082,"^U",1047,536879808]],["^15",[1082,"^?",["^ "],536879787]],["^15",[1082,"^;","~u687e5d90-aad8-48a2-8e2a-f7fa362742c2",536879780]],["^15",[1083,"^Q","Nebenbei",536879825]],["^15",[1083,"^O","^16",536879793]],["^15",[1083,"^@",false,536879793]],["^15",[1083,"^F",1075,536879800]],["^15",[1083,"^X",1047,536879793]],["^15",[1083,"^V",1071,536879800]],["^15",[1083,"^U",1047,536879794]],["^15",[1083,"^?",["^ "],536879825]],["^15",[1083,"^;","~u687e5dce-7d3a-4675-a207-f77b09cb76f1",536879793]],["^15",[1084,"^Q","Stockbrot",536879821]],["^15",[1084,"^O","^16",536879814]],["^15",[1084,"^@",false,536879814]],["^15",[1084,"^F",1083,536879814]],["^15",[1084,"^X",1047,536879814]],["^15",[1084,"^V",1083,536879816]],["^15",[1084,"^U",1047,536879826]],["^15",[1084,"^?",["^ "],536879821]],["^15",[1084,"^;","~u687e5de3-33d9-46a6-be28-5fe6c2719895",536879814]],["^15",[1085,"^Q","Salzstangen",536879829]],["^15",[1085,"^O","^16",536879821]],["^15",[1085,"^@",false,536879821]],["^15",[1085,"^F",1084,536879821]],["^15",[1085,"^X",1047,536879821]],["^15",[1085,"^V",1083,536879821]],["^15",[1085,"^U",1047,536879826]],["^15",[1085,"^?",["^ "],536879829]],["^15",[1085,"^;","~u687e5de7-89df-4acf-960c-441c69e28deb",536879821]],["^15",[1086,"^Q","(Random andere Sachen)",536879851]],["^15",[1086,"^O","^16",536879829]],["^15",[1086,"^@",false,536879829]],["^15",[1086,"^F",1085,536879829]],["^15",[1086,"^X",1047,536879829]],["^15",[1086,"^V",1083,536879829]],["^15",[1086,"^U",1047,536879830]],["^15",[1086,"^?",["^ "],536879851]],["^15",[1086,"^;","~u687e5e0b-0f6c-4ecb-92f3-15428a53873f",536879829]],["^15",[1087,"^12",2,536879858]],["^15",[1088,"^K",1753132743088,536879860]],["^15",[1088,"^[",1091,536879871]],["^15",[1088,"^O","^16",536879864]],["^15",[1088,"^@",false,536879860]],["^15",[1088,"^Y","double dabble algorythmus",536879860]],["^15",[1088,"^11","Double Dabble Algorythmus",536879860]],["^15",[1088,"^B",1753132859654,536879968]],["^15",[1088,"^;","~u687eaec7-b013-4001-848d-046b2f8645f8",536879860]],["^15",[1089,"^Q","https://en.wikipedia.org/wiki/Double_dabble",536879868]],["^15",[1089,"^O","^16",536879865]],["^15",[1089,"^@",false,536879865]],["^15",[1089,"^F",1105,536879950]],["^15",[1089,"^X",1088,536879865]],["^15",[1089,"^V",1088,536879865]],["^15",[1089,"^U",1088,536879866]],["^15",[1089,"^?",["^ "],536879868]],["^15",[1089,"^;","~u687eaec7-83b5-45d1-a1f7-9cd4489ad3ce",536879865]],["^15",[1090,"^Q","~```\n0000 0000 0000   11110011   Initialization\n0000 0000 0001   11100110   Shift\n0000 0000 0011   11001100   Shift\n0000 0000 0111   10011000   Shift\n0000 0000 1010   10011000   Add 3 to ONES, since it was 7\n0000 0001 0101   00110000   Shift\n0000 0001 1000   00110000   Add 3 to ONES, since it was 5\n0000 0011 0000   01100000   Shift\n0000 0110 0000   11000000   Shift\n0000 1001 0000   11000000   Add 3 to TENS, since it was 6\n0001 0010 0001   10000000   Shift\n0010 0100 0011   00000000   Shift\n   2    4    3\n```",536879880]],["^15",[1090,"^O","^16",536879869]],["^15",[1090,"^@",false,536879869]],["^15",[1090,"^F",1089,536879869]],["^15",[1090,"^X",1088,536879869]],["^15",[1090,"^V",1088,536879869]],["^15",[1090,"^U",1088,536879870]],["^15",[1090,"^?",["^ "],536879880]],["^15",[1090,"^;","~u687eaecc-69a6-4d4f-8b24-51edd9f875cc",536879869]],["^15",[1091,"^3","## Meta\n\t- Additional Tags:\n\t- Additional References:\n\t- **Notes:**\n\t  background-color:: red\n\t\t- {{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Double Dabble Algorythmus]]) (namespace [[Double Dabble Algorythmus]])))}}\n\t\t  query-sort-by:: block\n\t\t  query-table:: true\n\t\t  query-sort-desc:: false\n\t- **Slides:**\n\t  background-color:: green\n\t\t- {{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Double Dabble Algorythmus]]) (namespace [[Double Dabble Algorythmus]])))}}\n\t- **Summery**:\n\t  background-color:: blue\n\t\t- Binary to #BCD converter\n- ---\n-\n-\n- https://en.wikipedia.org/wiki/Double_dabble\n- ```\n  0000 0000 0000   11110011   Initialization\n  0000 0000 0001   11100110   Shift\n  0000 0000 0011   11001100   Shift\n  0000 0000 0111   10011000   Shift\n  0000 0000 1010   10011000   Add 3 to ONES, since it was 7\n  0000 0001 0101   00110000   Shift\n  0000 0001 1000   00110000   Add 3 to ONES, since it was 5\n  0000 0011 0000   01100000   Shift\n  0000 0110 0000   11000000   Shift\n  0000 1001 0000   11000000   Add 3 to TENS, since it was 6\n  0001 0010 0001   10000000   Shift\n  0010 0100 0011   00000000   Shift\n     2    4    3\n  ```\n\t- Adds are In place operations on the binarys\n\t- if only 0 left of in initilisation register, finished, read final cells",536879970]],["^15",[1091,"^18","~m1753132860612",536879969]],["^15",[1091,"^Z","pages/Double Dabble Algorythmus.md",536879871]],["^15",[1092,"^Q","Adds are In place operations on the binarys",536879893]],["^15",[1092,"^O","^16",536879881]],["^15",[1092,"^@",false,536879881]],["^15",[1092,"^F",1090,536879881]],["^15",[1092,"^X",1088,536879881]],["^15",[1092,"^V",1090,536879887]],["^15",[1092,"^U",1088,536879882]],["^15",[1092,"^?",["^ "],536879893]],["^15",[1092,"^;","~u687eaeda-8712-45f7-8d11-c3383ea82cfd",536879881]],["^15",[1093,"^Q","if only 0 left of in initilisation register, finished, read final cells",536879933]],["^15",[1093,"^O","^16",536879896]],["^15",[1093,"^@",false,536879896]],["^15",[1093,"^F",1092,536879896]],["^15",[1093,"^X",1088,536879896]],["^15",[1093,"^V",1090,536879896]],["^15",[1093,"^U",1088,536879897]],["^15",[1093,"^?",["^ "],536879933]],["^15",[1093,"^;","~u687eaee8-55af-4f8b-b203-7a63c8983f8f",536879896]],["^15",[1094,"^Q","## Meta",536879946]],["^15",[1094,"^O","^16",536879936]],["^15",[1094,"^@",false,536879936]],["^15",[1094,"^F",1088,536879936]],["^15",[1094,"^X",1088,536879936]],["^15",[1094,"^V",1088,536879936]],["^15",[1094,"^U",421,536879946]],["^15",[1094,"^U",1088,536879937]],["^15",[1094,"^?",["^ ","^1;",2],536879946]],["^15",[1094,"^J",["^14",[]],536879946]],["^15",[1094,"^;","~u687eaf25-0ae6-4266-8014-bb0c7854a41a",536879936]],["^15",[1095,"^Q","Additional Tags:",536879946]],["^15",[1095,"^O","^16",536879946]],["^15",[1095,"^F",1094,536879946]],["^15",[1095,"^X",1088,536879946]],["^15",[1095,"^V",1094,536879946]],["^15",[1095,"^U",421,536879947]],["^15",[1095,"^U",1088,536879947]],["^15",[1095,"^;","~ucbceac60-d11f-45ba-9d26-4cedb81cb236",536879946]],["^15",[1096,"^Q","Additional References:",536879946]],["^15",[1096,"^O","^16",536879946]],["^15",[1096,"^F",1095,536879946]],["^15",[1096,"^X",1088,536879946]],["^15",[1096,"^V",1094,536879946]],["^15",[1096,"^U",421,536879947]],["^15",[1096,"^U",1088,536879947]],["^15",[1096,"^;","~u9d1afc91-f0af-4628-9e12-aa7cfad59d9f",536879946]],["^15",[1097,"^Q","**Notes:**\nbackground-color:: red",536879946]],["^15",[1097,"^O","^16",536879946]],["^15",[1097,"^F",1096,536879946]],["^15",[1097,"^X",1088,536879946]],["^15",[1097,"^V",1094,536879946]],["^15",[1097,"^U",421,536879947]],["^15",[1097,"^U",1088,536879947]],["^15",[1097,"^?",["^ ","^1=","red"],536879946]],["^15",[1097,"^J",["^14",["^1="]],536879946]],["^15",[1097,"^4",["^ ","^1=","red"],536879946]],["^15",[1097,"^;","~ub16e2cb1-f6dd-4dbf-81f6-35b290eee43e",536879946]],["^15",[1098,"^Q","{{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Double Dabble Algorythmus]]) (namespace [[Double Dabble Algorythmus]])))}}\nquery-sort-by:: block\nquery-table:: true\nquery-sort-desc:: false",536879946]],["^15",[1098,"^O","^16",536879946]],["^15",[1098,"^F",1097,536879946]],["^15",[1098,"^X",1088,536879946]],["^15",[1098,"^V",1097,536879946]],["^15",[1098,"^U",421,536879947]],["^15",[1098,"^U",1088,536879947]],["^15",[1098,"^?",["^ ","^1?","block","^1>",true,"^1@",false],536879946]],["^15",[1098,"^J",["^14",["^1?","^1>","^1@"]],536879946]],["^15",[1098,"^4",["^ ","^1?","block","^1>","true","^1@","false"],536879946]],["^15",[1098,"^;","~uffe80823-1857-4448-addf-486c95009285",536879946]],["^15",[1099,"^Q","**Slides:**\nbackground-color:: green",536879946]],["^15",[1099,"^O","^16",536879946]],["^15",[1099,"^F",1097,536879946]],["^15",[1099,"^X",1088,536879946]],["^15",[1099,"^V",1094,536879946]],["^15",[1099,"^U",421,536879947]],["^15",[1099,"^U",1088,536879947]],["^15",[1099,"^?",["^ ","^1=","green"],536879946]],["^15",[1099,"^J",["^14",["^1="]],536879946]],["^15",[1099,"^4",["^ ","^1=","green"],536879946]],["^15",[1099,"^;","~u7d40505f-8696-449a-857f-70ed106970df",536879946]],["^15",[1100,"^Q","{{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Double Dabble Algorythmus]]) (namespace [[Double Dabble Algorythmus]])))}}",536879946]],["^15",[1100,"^O","^16",536879946]],["^15",[1100,"^F",1099,536879946]],["^15",[1100,"^X",1088,536879946]],["^15",[1100,"^V",1099,536879946]],["^15",[1100,"^U",421,536879947]],["^15",[1100,"^U",1088,536879947]],["^15",[1100,"^;","~u964cedb2-ecd4-4172-a20d-758dcd325341",536879946]],["^15",[1101,"^Q","**Summery**:\nbackground-color:: blue",536879946]],["^15",[1101,"^O","^16",536879946]],["^15",[1101,"^F",1099,536879946]],["^15",[1101,"^X",1088,536879946]],["^15",[1101,"^V",1094,536879946]],["^15",[1101,"^U",421,536879947]],["^15",[1101,"^U",1088,536879947]],["^15",[1101,"^?",["^ ","^1=","blue"],536879946]],["^15",[1101,"^J",["^14",["^1="]],536879946]],["^15",[1101,"^4",["^ ","^1=","blue"],536879946]],["^15",[1101,"^;","~u474d25e5-c9d6-4613-b702-5bc17ce7b700",536879946]],["^15",[1102,"^Q","Binary to #BCD converter",536879968]],["^15",[1102,"^O","^16",536879946]],["^15",[1102,"^F",1101,536879946]],["^15",[1102,"^X",1088,536879946]],["^15",[1102,"^V",1101,536879946]],["^15",[1102,"^U",421,536879958]],["^15",[1102,"^U",1088,536879958]],["^15",[1102,"^U",1106,536879958]],["^15",[1102,"^?",["^ "],536879968]],["^15",[1102,"^H",1106,536879968]],["^15",[1102,"^;","~uaa4a400d-45f0-4077-8173-dfa2f2190053",536879946]],["^15",[1103,"^Q","---",536879946]],["^15",[1103,"^O","^16",536879946]],["^15",[1103,"^F",1094,536879946]],["^15",[1103,"^X",1088,536879946]],["^15",[1103,"^V",1088,536879946]],["^15",[1103,"^U",1088,536879947]],["^15",[1103,"^;","~u48a56056-3111-4b16-a71b-762162b4f23b",536879946]],["^15",[1104,"^Q","",536879946]],["^15",[1104,"^O","^16",536879946]],["^15",[1104,"^F",1103,536879946]],["^15",[1104,"^X",1088,536879946]],["^15",[1104,"^V",1088,536879946]],["^15",[1104,"^U",1088,536879947]],["^15",[1104,"^;","~u75e64f13-e5a3-453f-86c9-6dbc609ede70",536879946]],["^15",[1105,"^Q","",536879950]],["^15",[1105,"^O","^16",536879950]],["^15",[1105,"^F",1104,536879950]],["^15",[1105,"^X",1088,536879950]],["^15",[1105,"^V",1088,536879950]],["^15",[1105,"^U",1088,536879951]],["^15",[1105,"^?",["^ "],536879950]],["^15",[1105,"^;","~u687eaf2b-1973-4b87-9ae4-ffb0523da46c",536879950]],["^15",[1106,"^K",1753132848835,536879957]],["^15",[1106,"^@",false,536879957]],["^15",[1106,"^Y","bcd",536879957]],["^15",[1106,"^11","BCD",536879957]],["^15",[1106,"^B",1753132848835,536879957]],["^15",[1106,"^;","~u687eaf30-eb5a-4295-9b55-9c86981b88b0",536879957]],["^15",[1107,"^12",2,536879972]],["^15",[1108,"^K",1753735992016,536879973]],["^15",[1108,"^O","^16",536879973]],["^15",[1108,"^N",20250728,536879973]],["^15",[1108,"^@",true,536879973]],["^15",[1108,"^Y","2025/07/28",536879973]],["^15",[1108,"^A",19,536879973]],["^15",[1108,"^11","2025/07/28",536879973]],["^15",[1108,"^B",1753735992016,536879973]],["^15",[1108,"^;","~u6887e338-19e5-4ec1-a339-e96b568e9451",536879973]],["^15",[1109,"^Q","",536879974]],["^15",[1109,"^O","^16",536879974]],["^15",[1109,"^N",20250728,536879974]],["^15",[1109,"^@",true,536879974]],["^15",[1109,"^F",1108,536879974]],["^15",[1109,"^X",1108,536879974]],["^15",[1109,"^V",1108,536879974]],["^15",[1109,"^U",1108,536879975]],["^15",[1109,"^?",["^ "],536879974]],["^15",[1109,"^;","~u6887e338-cbff-449e-81c9-d3a79116ac7c",536879974]],["^15",[1110,"^12",2,536879978]],["^15",[1111,"^K",1754330224564,536879979]],["^15",[1111,"^O","^16",536879979]],["^15",[1111,"^N",20250804,536879979]],["^15",[1111,"^@",true,536879979]],["^15",[1111,"^Y","2025/08/04",536879979]],["^15",[1111,"^A",1112,536879979]],["^15",[1111,"^11","2025/08/04",536879979]],["^15",[1111,"^B",1754330224564,536879979]],["^15",[1111,"^;","~u6890f470-edab-4466-983b-b164ee59bc0b",536879979]],["^15",[1112,"^Y","2025/08",536879979]],["^15",[1113,"^Q","",536879980]],["^15",[1113,"^O","^16",536879980]],["^15",[1113,"^N",20250804,536879980]],["^15",[1113,"^@",true,536879980]],["^15",[1113,"^F",1111,536879980]],["^15",[1113,"^X",1111,536879980]],["^15",[1113,"^V",1111,536879980]],["^15",[1113,"^U",1111,536879981]],["^15",[1113,"^?",["^ "],536879980]],["^15",[1113,"^;","~u6890f470-2a0e-49e3-be4b-be5239c994df",536879980]],["^15",[1114,"^Q","",536880002]],["^15",[1114,"^O","^16",536880002]],["^15",[1114,"^F",376,536880002]],["^15",[1114,"^X",346,536880002]],["^15",[1114,"^V",376,536880002]],["^15",[1114,"^U",4,536880003]],["^15",[1114,"^U",298,536880003]],["^15",[1114,"^U",346,536880003]],["^15",[1114,"^?",["^ "],536880002]],["^15",[1114,"^;","~u6890f747-778e-4286-8c54-7643d53df161",536880002]],["^15",[1116,"^U",4,536880051]],["^15",[1116,"^U",298,536880051]],["^15",[1116,"^U",346,536880051]],["^15",[1117,"^Q","Zunächst lass uns dem Prozess der Kreativität definieren, als eine bewusste oder unterbewusste Weiterverwendung und Verarbeitung von jeglicher Art Erfahrungen (sein es gesehene Bilder oder verstandene Abstrakte Sachverhalte), die am Ende etwas mehr, oder weniger neues erschafft.",536880234]],["^15",[1117,"^O","^16",536880063]],["^15",[1117,"^F",356,536881170]],["^15",[1117,"^X",346,536880063]],["^15",[1117,"^V",356,536881170]],["^15",[1117,"^U",4,536881396]],["^15",[1117,"^U",298,536881396]],["^15",[1117,"^U",346,536881396]],["^15",[1117,"^?",["^ "],536880234]],["^15",[1117,"^;","~u6890f806-3718-4dec-a04e-4f00f5d63dbf",536880063]],["^15",[1119,"^Q","Dabei wirken sich beim menschlichen Erschaffungsprozess Emotionen, welche mit den Erfahrungen Assoziiert werden wie auch jene die wir aktuell fühlen, mit als Variablen auf das Endergebnis aus. AI-Modelle hingegen arbeiten \"algorithmisch\" das heiß: Als Prozess der bei gleichen Eingabewerten immer auch die gleichen Ausgabewerte liefert. Die Zufälligkeit die in der menschlichen Kreativität liegt muss also Indirekt, eingebracht werden indem eine Vielzahl an Eingabeparametern wahllos zugeordnet werden um eine  Scheinheiligkeit zu erzeugen.",536880586]],["^15",[1119,"^O","^16",536880238]],["^15",[1119,"^F",1117,536880238]],["^15",[1119,"^X",346,536880238]],["^15",[1119,"^V",356,536881170]],["^15",[1119,"^U",4,536881396]],["^15",[1119,"^U",298,536881396]],["^15",[1119,"^U",346,536881396]],["^15",[1119,"^?",["^ "],536880586]],["^15",[1119,"^;","~u68910ac8-3c0c-4b5b-8a8c-9b7c2dc16e0f",536880238]],["^15",[1122,"^Q","Stimmt man mit diesen Punkten überein, so kann durchaus bereits von maschineller Kreativität gesprochen werden. \nInteressant ist nun welchem Wert man den beschriebenen Subjektiven Einflüssen auf den Erstellungsprozess wie zum Beispiel den Emotionen zuweist, welche ein Ai-Modell bestenfalls durch wiederkehrende Muster im Trainingsdatensatz zufälligerweise Imitieren kann",536880999]],["^15",[1122,"^O","^16",536880896]],["^15",[1122,"^F",897,536881166]],["^15",[1122,"^X",346,536880896]],["^15",[1122,"^V",356,536881170]],["^15",[1122,"^U",4,536881396]],["^15",[1122,"^U",298,536881396]],["^15",[1122,"^U",346,536881396]],["^15",[1122,"^?",["^ "],536881166]],["^15",[1122,"^;","~u68911149-0595-4e21-bd2f-b621a192911a",536880896]],["^15",[1125,"^U",4,536881028]],["^15",[1125,"^U",298,536881028]],["^15",[1125,"^U",346,536881028]],["^15",[1127,"^Q","wo ist die Grenze?",536881227]],["^15",[1127,"^O","^16",536881184]],["^15",[1127,"^F",912,536881184]],["^15",[1127,"^X",346,536881184]],["^15",[1127,"^V",912,536881188]],["^15",[1127,"^U",4,536881185]],["^15",[1127,"^U",298,536881185]],["^15",[1127,"^U",346,536881185]],["^15",[1127,"^?",["^ "],536881227]],["^15",[1127,"^;","~u6891139d-9653-4531-a8c0-9907778c4924",536881184]],["^15",[1128,"^Q","Was ist mit emulative Kunst wie Morphing oder Remixen? Wo der Mensch selbst nur das tut was eine AI uebrall macht",536881285]],["^15",[1128,"^O","^16",536881227]],["^15",[1128,"^F",1127,536881227]],["^15",[1128,"^X",346,536881227]],["^15",[1128,"^V",912,536881227]],["^15",[1128,"^U",4,536881228]],["^15",[1128,"^U",298,536881228]],["^15",[1128,"^U",346,536881228]],["^15",[1128,"^?",["^ "],536881285]],["^15",[1128,"^;","~u689113c0-b806-4af8-b036-d57c0629d99f",536881227]],["^15",[1129,"^Q","_Provokante Bonusfrage:_ Ist ein Werk menschlichen Ursprungs mehr Wert, weil es Menschlichen Ursprungs ist: Sollten wir Maschinen diskriminieren",536881392]],["^15",[1129,"^O","^16",536881288]],["^15",[1129,"^F",912,536881292]],["^15",[1129,"^X",346,536881288]],["^15",[1129,"^V",910,536881292]],["^15",[1129,"^U",4,536881289]],["^15",[1129,"^U",298,536881289]],["^15",[1129,"^U",346,536881289]],["^15",[1129,"^?",["^ "],536881392]],["^15",[1129,"^;","~u6891142e-b97e-49f9-8580-0c54271ea322",536881288]],["^15",[1131,"^Q","",536881416]],["^15",[1131,"^O","^16",536881416]],["^15",[1131,"^F",910,536881424]],["^15",[1131,"^X",346,536881416]],["^15",[1131,"^V",376,536881416]],["^15",[1131,"^U",4,536881417]],["^15",[1131,"^U",298,536881417]],["^15",[1131,"^U",346,536881417]],["^15",[1131,"^?",["^ "],536881424]],["^15",[1131,"^;","~u689114de-ef98-47fe-a04b-c92a7d2a2c00",536881416]],["^15",[1132,"^Q","Da der erfolg, die Sinnhaftigkeit und überhaupt das Bestreben nach einem Verwendungsverbote von Ai in der Unterhaltungsindustrie fragwürdig ist muss nach Alternativen gesucht werden:",536881696]],["^15",[1132,"^O","^16",536881641]],["^15",[1132,"^F",986,536881641]],["^15",[1132,"^X",346,536881641]],["^15",[1132,"^V",945,536881641]],["^15",[1132,"^U",4,536882335]],["^15",[1132,"^U",298,536882335]],["^15",[1132,"^U",346,536882335]],["^15",[1132,"^?",["^ "],536881696]],["^15",[1132,"^;","~u6891188d-8b34-4cdd-bbe0-f3afca7ee918",536881641]],["^15",[1133,"^Q","Eine echte und längerfristige Verbesserung für diese Zustände kann der Kapitalismus uns wahrscheinlich nicht bieten. Er ist nicht ausgelegt für Kollaboration, OpenAcess uvm.. Daher müssen wir bei der Nutzung von AI bedenken den Schaden für Kunstschaffende nicht noch zu erhöhen!",536881941]],["^15",[1133,"^O","^16",536881790]],["^15",[1133,"^F",993,536881790]],["^15",[1133,"^X",346,536881790]],["^15",[1133,"^V",945,536881790]],["^15",[1133,"^U",4,536882335]],["^15",[1133,"^U",298,536882335]],["^15",[1133,"^U",346,536882335]],["^15",[1133,"^?",["^ "],536881941]],["^15",[1133,"^;","~u689119fd-3a5e-414b-86e5-0e099cc05526",536881790]],["^15",[1136,"^Q","**Leitfrage**:",536882218]],["^15",[1136,"^O","^16",536882199]],["^15",[1136,"^F",916,536882208]],["^15",[1136,"^X",346,536882199]],["^15",[1136,"^V",991,536882208]],["^15",[1136,"^U",4,536882200]],["^15",[1136,"^U",298,536882200]],["^15",[1136,"^U",346,536882200]],["^15",[1136,"^?",["^ "],536882218]],["^15",[1136,"^;","~u68911c9f-d426-4106-8c48-4d8c5eb9d0c0",536882199]],["^15",[1137,"^Q","Ab wann rechtfertigt die schaden-nutzen Bilanz die verwendung der AI?",536882244]],["^15",[1137,"^O","^16",536882218]],["^15",[1137,"^F",1136,536882218]],["^15",[1137,"^X",346,536882218]],["^15",[1137,"^V",1136,536882220]],["^15",[1137,"^U",4,536882219]],["^15",[1137,"^U",298,536882219]],["^15",[1137,"^U",346,536882219]],["^15",[1137,"^?",["^ "],536882244]],["^15",[1137,"^;","~u68911cc9-34f5-43fe-b64c-33cd6d7c26e0",536882218]],["^15",[1138,"^Q","Welche Art an Modellen sind verwendbar?",536882263]],["^15",[1138,"^O","^16",536882244]],["^15",[1138,"^F",1137,536882244]],["^15",[1138,"^X",346,536882244]],["^15",[1138,"^V",1137,536882246]],["^15",[1138,"^U",4,536882245]],["^15",[1138,"^U",298,536882245]],["^15",[1138,"^U",346,536882245]],["^15",[1138,"^?",["^ "],536882263]],["^15",[1138,"^;","~u68911d34-0e6c-44f3-91d1-2431aac13986",536882244]],["^15",[1139,"^Q","Ausgleichsleistungen an Kunstschaffende denkbar?",536882297]],["^15",[1139,"^O","^16",536882263]],["^15",[1139,"^F",1138,536882263]],["^15",[1139,"^X",346,536882263]],["^15",[1139,"^V",1137,536882263]],["^15",[1139,"^U",4,536882264]],["^15",[1139,"^U",298,536882264]],["^15",[1139,"^U",346,536882264]],["^15",[1139,"^?",["^ "],536882297]],["^15",[1139,"^;","~u68911d46-1352-44d4-bae0-2321e602b70b",536882263]],["^15",[1140,"^Q","",536882308]],["^15",[1140,"^O","^16",536882308]],["^15",[1140,"^F",981,536882308]],["^15",[1140,"^X",346,536882308]],["^15",[1140,"^V",981,536882334]],["^15",[1140,"^U",4,536882309]],["^15",[1140,"^U",298,536882309]],["^15",[1140,"^U",346,536882309]],["^15",[1140,"^?",["^ "],536882308]],["^15",[1140,"^;","~u68911d95-646e-4b9d-9fa4-3fbfe0fe063e",536882308]],["^15",[1141,"^12",2,536882340]],["^15",[1142,"^K",1754998419778,536882341]],["^15",[1142,"^O","^16",536882341]],["^15",[1142,"^N",20250812,536882341]],["^15",[1142,"^@",true,536882341]],["^15",[1142,"^Y","2025/08/12",536882341]],["^15",[1142,"^A",1112,536882341]],["^15",[1142,"^11","2025/08/12",536882341]],["^15",[1142,"^B",1754998419778,536882341]],["^15",[1142,"^;","~u689b2693-8bbf-472e-b5d2-b879015ab2c8",536882341]],["^15",[1143,"^Q","",536882342]],["^15",[1143,"^O","^16",536882342]],["^15",[1143,"^N",20250812,536882342]],["^15",[1143,"^@",true,536882342]],["^15",[1143,"^F",1142,536882342]],["^15",[1143,"^X",1142,536882342]],["^15",[1143,"^V",1142,536882342]],["^15",[1143,"^U",1142,536882343]],["^15",[1143,"^?",["^ "],536882342]],["^15",[1143,"^;","~u689b2693-8633-49e3-8f6e-eabd4060508f",536882342]],["^15",[1144,"^K",1754998458952,536882346]],["^15",[1144,"^O","^16",536882346]],["^15",[1144,"^@",false,536882346]],["^15",[1144,"^Y","solid",536882346]],["^15",[1144,"^11","Solid",536882346]],["^15",[1144,"^B",1754998458952,536882346]],["^15",[1144,"^;","~u689b26ba-da0d-400c-83ac-fad38c63158f",536882346]],["^15",[1145,"^K",1754998458955,536882346]],["^15",[1145,"^[",1157,536882352]],["^15",[1145,"^O","^16",536882346]],["^15",[1145,"^@",false,536882346]],["^15",[1145,"^Y","solid/bakit",536882346]],["^15",[1145,"^A",1144,536882346]],["^15",[1145,"^11","Solid/BakIt",536882346]],["^15",[1145,"^B",1754998564112,536882405]],["^15",[1145,"^;","~u689b26ba-f532-469a-b22d-3d23cb66f2b0",536882346]],["^15",[1146,"^Q","## Meta",536882350]],["^15",[1146,"^O","^16",536882347]],["^15",[1146,"^@",false,536882347]],["^15",[1146,"^F",1145,536882347]],["^15",[1146,"^X",1145,536882347]],["^15",[1146,"^V",1145,536882347]],["^15",[1146,"^U",421,536882350]],["^15",[1146,"^U",1145,536882348]],["^15",[1146,"^?",["^ ","^1;",2],536882350]],["^15",[1146,"^J",["^14",[]],536882350]],["^15",[1146,"^;","~u689b26ba-c114-4d3a-bd78-c574d511b1b4",536882347]],["^15",[1147,"^Q","Additional Tags:",536882350]],["^15",[1147,"^O","^16",536882350]],["^15",[1147,"^F",1146,536882350]],["^15",[1147,"^X",1145,536882350]],["^15",[1147,"^V",1146,536882350]],["^15",[1147,"^U",1145,536882351]],["^15",[1147,"^;","~ueeeef1f1-7bd4-4a60-8ac3-f9794c36dc34",536882350]],["^15",[1148,"^Q","Additional References:",536882350]],["^15",[1148,"^O","^16",536882350]],["^15",[1148,"^F",1147,536882350]],["^15",[1148,"^X",1145,536882350]],["^15",[1148,"^V",1146,536882350]],["^15",[1148,"^U",1145,536882351]],["^15",[1148,"^;","~ub3a71c88-5f73-42b5-ae8e-f02534a673ee",536882350]],["^15",[1149,"^Q","**Notes:**\nbackground-color:: red",536882350]],["^15",[1149,"^O","^16",536882350]],["^15",[1149,"^F",1148,536882350]],["^15",[1149,"^X",1145,536882350]],["^15",[1149,"^V",1146,536882350]],["^15",[1149,"^U",1145,536882351]],["^15",[1149,"^?",["^ ","^1=","red"],536882350]],["^15",[1149,"^J",["^14",["^1="]],536882350]],["^15",[1149,"^4",["^ ","^1=","red"],536882350]],["^15",[1149,"^;","~u033f9595-8780-4f70-9a86-4ee4414b226d",536882350]],["^15",[1150,"^Q","{{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Solid/BakIt]]) (namespace [[Solid/BakIt]])))}}\nquery-sort-by:: block\nquery-table:: true\nquery-sort-desc:: false",536882350]],["^15",[1150,"^O","^16",536882350]],["^15",[1150,"^F",1149,536882350]],["^15",[1150,"^X",1145,536882350]],["^15",[1150,"^V",1149,536882350]],["^15",[1150,"^U",421,536882351]],["^15",[1150,"^U",1145,536882351]],["^15",[1150,"^?",["^ ","^1?","block","^1>",true,"^1@",false],536882350]],["^15",[1150,"^J",["^14",["^1?","^1>","^1@"]],536882350]],["^15",[1150,"^4",["^ ","^1?","block","^1>","true","^1@","false"],536882350]],["^15",[1150,"^;","~uf25c687b-e0f4-42b8-9230-9329d955a005",536882350]],["^15",[1151,"^Q","**Slides:**\nbackground-color:: green",536882350]],["^15",[1151,"^O","^16",536882350]],["^15",[1151,"^F",1149,536882350]],["^15",[1151,"^X",1145,536882350]],["^15",[1151,"^V",1146,536882350]],["^15",[1151,"^U",1145,536882351]],["^15",[1151,"^?",["^ ","^1=","green"],536882350]],["^15",[1151,"^J",["^14",["^1="]],536882350]],["^15",[1151,"^4",["^ ","^1=","green"],536882350]],["^15",[1151,"^;","~u2b229d94-7ffa-4561-8da1-932fb043a293",536882350]],["^15",[1152,"^Q","{{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Solid/BakIt]]) (namespace [[Solid/BakIt]])))}}",536882350]],["^15",[1152,"^O","^16",536882350]],["^15",[1152,"^F",1151,536882350]],["^15",[1152,"^X",1145,536882350]],["^15",[1152,"^V",1151,536882350]],["^15",[1152,"^U",421,536882351]],["^15",[1152,"^U",1145,536882351]],["^15",[1152,"^;","~u41799a65-1373-44c9-9009-3decaeb4fac8",536882350]],["^15",[1153,"^Q","**Summery**:\nbackground-color:: blue",536882350]],["^15",[1153,"^O","^16",536882350]],["^15",[1153,"^F",1151,536882350]],["^15",[1153,"^X",1145,536882350]],["^15",[1153,"^V",1146,536882350]],["^15",[1153,"^U",1145,536882351]],["^15",[1153,"^?",["^ ","^1=","blue"],536882350]],["^15",[1153,"^J",["^14",["^1="]],536882350]],["^15",[1153,"^4",["^ ","^1=","blue"],536882350]],["^15",[1153,"^;","~ubaa2c768-b05d-4a02-847d-db39151c2bc2",536882350]],["^15",[1154,"^Q","",536882350]],["^15",[1154,"^O","^16",536882350]],["^15",[1154,"^F",1153,536882350]],["^15",[1154,"^X",1145,536882350]],["^15",[1154,"^V",1153,536882350]],["^15",[1154,"^U",1145,536882351]],["^15",[1154,"^;","~uc227a5d0-6887-47a4-aa12-d4b48b54419d",536882350]],["^15",[1155,"^Q","---",536882350]],["^15",[1155,"^O","^16",536882350]],["^15",[1155,"^F",1146,536882350]],["^15",[1155,"^X",1145,536882350]],["^15",[1155,"^V",1145,536882350]],["^15",[1155,"^U",1145,536882351]],["^15",[1155,"^;","~u665135ac-2822-4930-a6db-a6c7a30f1fec",536882350]],["^15",[1156,"^Q","TODO Ansible Personal Stage",536882377]],["^15",[1156,"^O","^16",536882350]],["^15",[1156,"^F",1155,536882350]],["^15",[1156,"^10","TODO",536882377]],["^15",[1156,"^X",1145,536882350]],["^15",[1156,"^V",1145,536882350]],["^15",[1156,"^U",4,536882366]],["^15",[1156,"^U",1145,536882366]],["^15",[1156,"^?",["^ "],536882377]],["^15",[1156,"^H",4,536882377]],["^15",[1156,"^;","~ua2205bb5-dcc6-4076-b5da-544b131440d9",536882350]],["^15",[1157,"^3","## Meta\n\t- Additional Tags:\n\t- Additional References:\n\t- **Notes:**\n\t  background-color:: red\n\t\t- {{query (and (or \"#Note \" \"#Note]\" [[Note]]) (or (page [[Solid/BakIt]]) (namespace [[Solid/BakIt]])))}}\n\t\t  query-sort-by:: block\n\t\t  query-table:: true\n\t\t  query-sort-desc:: false\n\t- **Slides:**\n\t  background-color:: green\n\t\t- {{query (and (or \"#Slide \" \"#Slide]\" [[Slide]]) (or (page [[Solid/BakIt]]) (namespace [[Solid/BakIt]])))}}\n\t- **Summery**:\n\t  background-color:: blue\n\t\t-\n- ---\n- TODO Ansible Personal Stage\n\t- - Analyze output: of ansible `up` run\n\t  ```\n\t  TASK [common : test current password] ******************************************\n\t  ok: [2.nixMain.bak-it-stage.de]\n\t  \n\t  TASK [matrix : start synapse + MAS] ********************************************\n\t  changed: [2.nixMain.bak-it-stage.de]\n\t  \n\t  TASK [matrix : restart synapse if homeserver.yaml has changed] *****************\n\t  changed: [2.nixMain.bak-it-stage.de]\n\t  \n\t  TASK [matrix : sync config if mas_config.yaml has changed (--prune is not present in autostart)] ***\n\t  changed: [2.nixMain.bak-it-stage.de]\n\t  \n\t  TASK [matrix : ensure the configured accounts are registered as admins] ********\n\t  failed: [2.nixMain.bak-it-stage.de] (item={'key': 'admin', 'value': 'matrix_admin_password_b5f9a7657465b1a58fa90933195fd64d35ed978b'}) => {\"ansible_loop_var\": \"item\", \"changed\": false, \"failed_when_result\": true, \"item\": {\"key\": \"admin\", \"value\": \"matrix_admin_password_b5f9a7657465b1a58fa90933195fd64d35ed978b\"}, \"rc\": 1, \"stderr\": \"2025-08-11T00:41:48.387719Z ERROR mas_matrix_synapse::legacy:204 error=Failed to query localpart availability from Synapse\\n\\nCaused by:\\n    0: (no specific error)\\n    1: HTTP status server error (500 Internal Server Error) for url (https://matrix.nixmain.bak-it-stage.de/_synapse/admin/v1/username_available?username=admin)\\nError: Failed to query localpart availability from Synapse\\n\\nCaused by:\\n    0: (no specific error)\\n    1: HTTP status server error (500 Internal Server Error) for url (https://matrix.nixmain.bak-it-stage.de/_synapse/admin/v1/username_available?username=admin)\", \"stderr_lines\": [\"2025-08-11T00:41:48.387719Z ERROR mas_matrix_synapse::legacy:204 error=Failed to query localpart availability from Synapse\", \"\", \"Caused by:\", \"    0: (no specific error)\", \"    1: HTTP status server error (500 Internal Server Error) for url (https://matrix.nixmain.bak-it-stage.de/_synapse/admin/v1/username_available?username=admin)\", \"Error: Failed to query localpart availability from Synapse\", \"\", \"Caused by:\", \"    0: (no specific error)\", \"    1: HTTP status server error (500 Internal Server Error) for url (https://matrix.nixmain.bak-it-stage.de/_synapse/admin/v1/username_available?username=admin)\"], \"stdout\": \"\", \"stdout_lines\": []}\n\t  \n\t  PLAY RECAP *********************************************************************\n\t  2.nixMain.bak-it-stage.de  : ok=36   changed=21   unreachable=0    failed=1    skipped=18   rescued=0    ignored=0   \n\t  ```\n\t- ```\n\t  TASK [hetzner_dns : update zones in Hetzner API] *******************************\n\t  failed: [1.nixMain.bak-it-stage.de] (item={'key': 'nixMain.bak-it-stage.de', 'value': {'CAA': '0 issue \"letsencrypt.org\"', 'chat': {'CNAME': '2', 'admin': {'CNAME': '2'}}, 'login': {'CNAME': '1'}, 'matrix': {'CNAME': '2', 'auth': {'CNAME': '2'}}, '1': {'A': '168.119.110.56', 'AAAA': '2a01:4f8:c013:c960::1'}, '2': {'A': '128.140.48.160', 'AAAA': '2a01:4f8:c012:390d::1'}}}) => {\"ansible_loop_var\": \"item\", \"changed\": true, \"item\": {\"key\": \"nixMain.bak-it-stage.de\", \"value\": {\"1\": {\"A\": \"168.119.110.56\", \"AAAA\": \"2a01:4f8:c013:c960::1\"}, \"2\": {\"A\": \"128.140.48.160\", \"AAAA\": \"2a01:4f8:c012:390d::1\"}, \"CAA\": \"0 issue \\\"letsencrypt.org\\\"\", \"chat\": {\"CNAME\": \"2\", \"admin\": {\"CNAME\": \"2\"}}, \"login\": {\"CNAME\": \"1\"}, \"matrix\": {\"CNAME\": \"2\", \"auth\": {\"CNAME\": \"2\"}}}}, \"message\": \"Importing zone bak-it-stage.de returned HTTP Code 422: could not add record!\"}\n\t  \n\t  TASK [hetzner_dns : Print zones_extra for better debug message] ****************\n\t  ok: [1.nixMain.bak-it-stage.de] => {\n\t      \"zones_extra\": \"VARIABLE IS NOT DEFINED!\"\n\t  }\n\t  \n\t  TASK [hetzner_dns : Print zones_filled for better debug message] ***************\n\t  ok: [1.nixMain.bak-it-stage.de] => {\n\t      \"zones_filled\": {\n\t          \"nixMain.bak-it-stage.de\": {\n\t              \"1\": {\n\t                  \"A\": \"168.119.110.56\",\n\t                  \"AAAA\": \"2a01:4f8:c013:c960::1\"\n\t              },\n\t              \"2\": {\n\t                  \"A\": \"128.140.48.160\",\n\t                  \"AAAA\": \"2a01:4f8:c012:390d::1\"\n\t              },\n\t              \"CAA\": \"0 issue \\\"letsencrypt.org\\\"\",\n\t              \"chat\": {\n\t                  \"CNAME\": \"2\",\n\t                  \"admin\": {\n\t                      \"CNAME\": \"2\"\n\t                  }\n\t              },\n\t              \"login\": {\n\t                  \"CNAME\": \"1\"\n\t              },\n\t              \"matrix\": {\n\t                  \"CNAME\": \"2\",\n\t                  \"auth\": {\n\t                      \"CNAME\": \"2\"\n\t                  }\n\t              }\n\t          }\n\t      }\n\t  }\n\t  \n\t  TASK [hetzner_dns : And now, fail] *********************************************\n\t  fatal: [1.nixMain.bak-it-stage.de]: FAILED! => {\"changed\": false, \"msg\": \"could not update zones in Hetzner API\"}\n\t  \n\t  PLAY RECAP *********************************************************************\n\t  1.nixMain.bak-it-stage.de  : ok=9    changed=1    unreachable=0    failed=1    skipped=0    rescued=1    ignored=0   \n\t  \n\t  ```\n\t- Hallo, ich habe gerade versucht die Personal Stage zu starten, dabei ist der ansible run beim DNS setup mit \"Unprocessable Content\" fehlgeschlagen (siehe logs).\n\t  Die zugehoerige (automatisch generierte ?) dns_staging.yml (ohne Secrets):\n\t  ```yaml\n\t  hetzner_dns_override:\n\t    default_ttl: 1800\n\t    redirectors: '{{ groups[''dns_staging''] }}'\n\t    secrets:\n\t      hetzner_dns_api_token: SECRET\n\t      mailu_api_baseurl: '{{ \"https://\" + urls.mailu if \"mailu\" in urls and GLOBAL_HETZNER_DNS_SKIP_MAILU is undefined else \"\" }}'\n\t      mailu_api_token: mailu_api_token_{{ personal_stage_temp_password }}\n\t    zones:\n\t      nixMain.bak-it-stage.de:\n\t        CAA: 0 issue \"letsencrypt.org\"\n\t        chat:\n\t          CNAME: '2'\n\t          admin:\n\t            CNAME: '2'\n\t        inject_hosts_from_group: staging\n\t        login:\n\t          CNAME: '1'\n\t        matrix:\n\t          CNAME: '2'\n\t          auth:\n\t            CNAME: '2'\n\t  redirector_override:\n\t    domains:\n\t      nixMain.bak-it-stage.de:\n\t        glue_target: 1.nixMain.bak-it-stage.de\n\t        wildcard_target: 1.nixMain.bak-it-stage.de\n\t  reverseproxy_group_override:\n\t    hetzner_dns_api_token: SECRET\n\t    use_dns_challenge: 'yes'\n\t  ```\n\t  Ich sollte eigendlich alles wie in der Readme beschrieben gemacht haben, aber das sagen sie ja alle ><.\n\t  Achso: Ist es fuer dich angenehmer wenn ich dich ueber Matrix oder hier anschreibe?",536882407]],["^15",[1157,"^18","~m1754998564452",536882406]],["^15",[1157,"^Z","pages/Solid___BakIt.md",536882352]],["^15",[1159,"^Q","- Analyze output: of ansible `up` run\n```\nTASK [common : test current password] ******************************************\nok: [2.nixMain.bak-it-stage.de]\n\nTASK [matrix : start synapse + MAS] ********************************************\nchanged: [2.nixMain.bak-it-stage.de]\n\nTASK [matrix : restart synapse if homeserver.yaml has changed] *****************\nchanged: [2.nixMain.bak-it-stage.de]\n\nTASK [matrix : sync config if mas_config.yaml has changed (--prune is not present in autostart)] ***\nchanged: [2.nixMain.bak-it-stage.de]\n\nTASK [matrix : ensure the configured accounts are registered as admins] ********\nfailed: [2.nixMain.bak-it-stage.de] (item={'key': 'admin', 'value': 'matrix_admin_password_b5f9a7657465b1a58fa90933195fd64d35ed978b'}) => {\"ansible_loop_var\": \"item\", \"changed\": false, \"failed_when_result\": true, \"item\": {\"key\": \"admin\", \"value\": \"matrix_admin_password_b5f9a7657465b1a58fa90933195fd64d35ed978b\"}, \"rc\": 1, \"stderr\": \"2025-08-11T00:41:48.387719Z ERROR mas_matrix_synapse::legacy:204 error=Failed to query localpart availability from Synapse\\n\\nCaused by:\\n    0: (no specific error)\\n    1: HTTP status server error (500 Internal Server Error) for url (https://matrix.nixmain.bak-it-stage.de/_synapse/admin/v1/username_available?username=admin)\\nError: Failed to query localpart availability from Synapse\\n\\nCaused by:\\n    0: (no specific error)\\n    1: HTTP status server error (500 Internal Server Error) for url (https://matrix.nixmain.bak-it-stage.de/_synapse/admin/v1/username_available?username=admin)\", \"stderr_lines\": [\"2025-08-11T00:41:48.387719Z ERROR mas_matrix_synapse::legacy:204 error=Failed to query localpart availability from Synapse\", \"\", \"Caused by:\", \"    0: (no specific error)\", \"    1: HTTP status server error (500 Internal Server Error) for url (https://matrix.nixmain.bak-it-stage.de/_synapse/admin/v1/username_available?username=admin)\", \"Error: Failed to query localpart availability from Synapse\", \"\", \"Caused by:\", \"    0: (no specific error)\", \"    1: HTTP status server error (500 Internal Server Error) for url (https://matrix.nixmain.bak-it-stage.de/_synapse/admin/v1/username_available?username=admin)\"], \"stdout\": \"\", \"stdout_lines\": []}\n\nPLAY RECAP *********************************************************************\n2.nixMain.bak-it-stage.de  : ok=36   changed=21   unreachable=0    failed=1    skipped=18   rescued=0    ignored=0   \n```",536882394]],["^15",[1159,"^O","^16",536882365]],["^15",[1159,"^F",1156,536882365]],["^15",[1159,"^X",1145,536882365]],["^15",[1159,"^V",1156,536882369]],["^15",[1159,"^U",4,536882378]],["^15",[1159,"^U",1145,536882378]],["^15",[1159,"^?",["^ "],536882394]],["^15",[1159,"^;","~u689b26cd-41c8-482e-abf0-c22bd6f22814",536882365]],["^15",[1160,"^Q","Hallo, ich habe gerade versucht die Personal Stage zu starten, dabei ist der ansible run beim DNS setup mit \"Unprocessable Content\" fehlgeschlagen (siehe logs).\nDie zugehoerige (automatisch generierte ?) dns_staging.yml (ohne Secrets):\n```yaml\nhetzner_dns_override:\n  default_ttl: 1800\n  redirectors: '{{ groups[''dns_staging''] }}'\n  secrets:\n    hetzner_dns_api_token: SECRET\n    mailu_api_baseurl: '{{ \"https://\" + urls.mailu if \"mailu\" in urls and GLOBAL_HETZNER_DNS_SKIP_MAILU is undefined else \"\" }}'\n    mailu_api_token: mailu_api_token_{{ personal_stage_temp_password }}\n  zones:\n    nixMain.bak-it-stage.de:\n      CAA: 0 issue \"letsencrypt.org\"\n      chat:\n        CNAME: '2'\n        admin:\n          CNAME: '2'\n      inject_hosts_from_group: staging\n      login:\n        CNAME: '1'\n      matrix:\n        CNAME: '2'\n        auth:\n          CNAME: '2'\nredirector_override:\n  domains:\n    nixMain.bak-it-stage.de:\n      glue_target: 1.nixMain.bak-it-stage.de\n      wildcard_target: 1.nixMain.bak-it-stage.de\nreverseproxy_group_override:\n  hetzner_dns_api_token: SECRET\n  use_dns_challenge: 'yes'\n```\nIch sollte eigendlich alles wie in der Readme beschrieben gemacht haben, aber das sagen sie ja alle ><.\nAchso: Ist es fuer dich angenehmer wenn ich dich ueber Matrix oder hier anschreibe?",536882388]],["^15",[1160,"^O","^16",536882384]],["^15",[1160,"^F",1161,536882398]],["^15",[1160,"^X",1145,536882384]],["^15",[1160,"^V",1156,536882384]],["^15",[1160,"^U",4,536882385]],["^15",[1160,"^U",1145,536882385]],["^15",[1160,"^?",["^ "],536882388]],["^15",[1160,"^;","~u689b2702-f604-4457-a5ab-8016172bfcc3",536882384]],["^15",[1161,"^Q","~```\nTASK [hetzner_dns : update zones in Hetzner API] *******************************\nfailed: [1.nixMain.bak-it-stage.de] (item={'key': 'nixMain.bak-it-stage.de', 'value': {'CAA': '0 issue \"letsencrypt.org\"', 'chat': {'CNAME': '2', 'admin': {'CNAME': '2'}}, 'login': {'CNAME': '1'}, 'matrix': {'CNAME': '2', 'auth': {'CNAME': '2'}}, '1': {'A': '168.119.110.56', 'AAAA': '2a01:4f8:c013:c960::1'}, '2': {'A': '128.140.48.160', 'AAAA': '2a01:4f8:c012:390d::1'}}}) => {\"ansible_loop_var\": \"item\", \"changed\": true, \"item\": {\"key\": \"nixMain.bak-it-stage.de\", \"value\": {\"1\": {\"A\": \"168.119.110.56\", \"AAAA\": \"2a01:4f8:c013:c960::1\"}, \"2\": {\"A\": \"128.140.48.160\", \"AAAA\": \"2a01:4f8:c012:390d::1\"}, \"CAA\": \"0 issue \\\"letsencrypt.org\\\"\", \"chat\": {\"CNAME\": \"2\", \"admin\": {\"CNAME\": \"2\"}}, \"login\": {\"CNAME\": \"1\"}, \"matrix\": {\"CNAME\": \"2\", \"auth\": {\"CNAME\": \"2\"}}}}, \"message\": \"Importing zone bak-it-stage.de returned HTTP Code 422: could not add record!\"}\n\nTASK [hetzner_dns : Print zones_extra for better debug message] ****************\nok: [1.nixMain.bak-it-stage.de] => {\n    \"zones_extra\": \"VARIABLE IS NOT DEFINED!\"\n}\n\nTASK [hetzner_dns : Print zones_filled for better debug message] ***************\nok: [1.nixMain.bak-it-stage.de] => {\n    \"zones_filled\": {\n        \"nixMain.bak-it-stage.de\": {\n            \"1\": {\n                \"A\": \"168.119.110.56\",\n                \"AAAA\": \"2a01:4f8:c013:c960::1\"\n            },\n            \"2\": {\n                \"A\": \"128.140.48.160\",\n                \"AAAA\": \"2a01:4f8:c012:390d::1\"\n            },\n            \"CAA\": \"0 issue \\\"letsencrypt.org\\\"\",\n            \"chat\": {\n                \"CNAME\": \"2\",\n                \"admin\": {\n                    \"CNAME\": \"2\"\n                }\n            },\n            \"login\": {\n                \"CNAME\": \"1\"\n            },\n            \"matrix\": {\n                \"CNAME\": \"2\",\n                \"auth\": {\n                    \"CNAME\": \"2\"\n                }\n            }\n        }\n    }\n}\n\nTASK [hetzner_dns : And now, fail] *********************************************\nfatal: [1.nixMain.bak-it-stage.de]: FAILED! => {\"changed\": false, \"msg\": \"could not update zones in Hetzner API\"}\n\nPLAY RECAP *********************************************************************\n1.nixMain.bak-it-stage.de  : ok=9    changed=1    unreachable=0    failed=1    skipped=0    rescued=1    ignored=0   \n\n```",536882405]],["^15",[1161,"^O","^16",536882394]],["^15",[1161,"^F",1159,536882394]],["^15",[1161,"^X",1145,536882394]],["^15",[1161,"^V",1156,536882394]],["^15",[1161,"^U",4,536882395]],["^15",[1161,"^U",1145,536882395]],["^15",[1161,"^?",["^ "],536882405]],["^15",[1161,"^;","~u689b271a-6003-46df-9889-4f006f2d5d80",536882398]],["^15",[1162,"^U",4,536882399]],["^15",[1162,"^U",1145,536882399]],["^15",[1163,"^U",4,536882399]],["^15",[1163,"^U",1145,536882399]],["^15",[1164,"^U",4,536882399]],["^15",[1164,"^U",1145,536882399]],["^15",[1165,"^U",4,536882399]],["^15",[1165,"^U",1145,536882399]],["^15",[1166,"^U",4,536882399]],["^15",[1166,"^U",1145,536882399]],["^15",[1167,"^12",2,536882409]]]]]]
\ No newline at end of file
diff --git a/eggs/minecraft/1.21/instance.cfg b/eggs/minecraft/1.21/instance.cfg
index 0e47f47..34cbea7 100644
--- a/eggs/minecraft/1.21/instance.cfg
+++ b/eggs/minecraft/1.21/instance.cfg
@@ -67,12 +67,12 @@ UseNativeOpenAL=false
 UseZink=false
 WrapperCommand=
 iconKey=default
-lastLaunchTime=1753121487485
-lastTimePlayed=4491
+lastLaunchTime=1753719248106
+lastTimePlayed=104
 linkedInstances=[]
 name=1.21_fabric_main
 notes=
-totalTimePlayed=75939
+totalTimePlayed=84008
 
 [UI]
 mods_Page\Columns=@ByteArray(\0\0\0\xff\0\0\0\0\0\0\0\x1\0\0\0\0\0\0\0\x1\x1\0\0\0\0\0\0\0\0\0\0\0\v\x80\a\0\0\0\x4\0\0\0\b\0\0\0\x64\0\0\0\a\0\0\0\x64\0\0\0\n\0\0\0\x64\0\0\0\t\0\0\0\x64\0\0\x2\xf8\0\0\0\v\x1\x1\0\0\0\0\0\0\x1\0\0\0\0\0\0\0\x64\xff\xff\xff\xff\0\0\0\x81\0\0\0\0\0\0\0\v\0\0\0\x64\0\0\0\x1\0\0\0\0\0\0\0\x64\0\0\0\x1\0\0\0\0\0\0\0\xa0\0\0\0\x1\0\0\0\x1\0\0\0\x64\0\0\0\x1\0\0\0\0\0\0\0\x64\0\0\0\x1\0\0\0\0\0\0\0\x64\0\0\0\x1\0\0\0\0\0\0\0\x64\0\0\0\x1\0\0\0\0\0\0\0\0\0\0\0\x1\0\0\0\0\0\0\0\0\0\0\0\x1\0\0\0\0\0\0\0\0\0\0\0\x1\0\0\0\0\0\0\0\0\0\0\0\x1\0\0\0\0\0\0\x3\xe8\0\0\0\0\x64\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\x1)
diff --git a/eggs/minecraft/1.21/minecraft/config/fabric/indigo-renderer.properties b/eggs/minecraft/1.21/minecraft/config/fabric/indigo-renderer.properties
index 41fe345..9dd503d 100644
--- a/eggs/minecraft/1.21/minecraft/config/fabric/indigo-renderer.properties
+++ b/eggs/minecraft/1.21/minecraft/config/fabric/indigo-renderer.properties
@@ -1,5 +1,5 @@
 #Indigo properties file
-#Mon Jul 21 20:11:31 CEST 2025
+#Mon Jul 28 18:14:11 CEST 2025
 always-tesselate-blocks=auto
 ambient-occlusion-mode=hybrid
 debug-compare-lighting=auto
diff --git a/eggs/minecraft/1.21/minecraft/config/iris.properties b/eggs/minecraft/1.21/minecraft/config/iris.properties
index bda0cdd..3e2aa82 100644
--- a/eggs/minecraft/1.21/minecraft/config/iris.properties
+++ b/eggs/minecraft/1.21/minecraft/config/iris.properties
@@ -1,5 +1,5 @@
 #This file stores configuration options for Iris, such as the currently active shaderpack
-#Mon Jul 21 20:14:02 CEST 2025
+#Mon Jul 28 18:14:12 CEST 2025
 allowUnknownShaders=false
 colorSpace=SRGB
 disableUpdateMessage=false
diff --git a/eggs/minecraft/1.21/minecraft/config/jade/usernamecache.json b/eggs/minecraft/1.21/minecraft/config/jade/usernamecache.json
index c228d48..0988408 100644
--- a/eggs/minecraft/1.21/minecraft/config/jade/usernamecache.json
+++ b/eggs/minecraft/1.21/minecraft/config/jade/usernamecache.json
@@ -1,4 +1,6 @@
 {
   "83aca42b-b499-4107-a00f-b8664bf4e34a": "Kyattsukuro",
-  "a5dfd13e-f809-45d7-a3a6-31cfc32f6c49": "FreeCamera"
+  "a5dfd13e-f809-45d7-a3a6-31cfc32f6c49": "FreeCamera",
+  "2325ba67-9f5b-44c6-b57e-716c285fde24": "FreeCamera",
+  "61d3ec60-6da5-41a6-9bf1-872281a88428": "FreeCamera"
 }
\ No newline at end of file
diff --git a/eggs/minecraft/1.21/minecraft/config/litematica/area_selections_per_world/RedTest/area_selections/OneTimeQueryableRegestryModule.json b/eggs/minecraft/1.21/minecraft/config/litematica/area_selections_per_world/RedTest/area_selections/OneTimeQueryableRegestryModule.json
new file mode 100644
index 0000000..b7c3b60
--- /dev/null
+++ b/eggs/minecraft/1.21/minecraft/config/litematica/area_selections_per_world/RedTest/area_selections/OneTimeQueryableRegestryModule.json
@@ -0,0 +1,19 @@
+{
+  "name": "OneTimeQueryableRegestryModule",
+  "current": "OneTimeQueryableRegestryModule",
+  "boxes": [
+    {
+      "pos1": [
+        46,
+        -54,
+        44
+      ],
+      "pos2": [
+        46,
+        -54,
+        44
+      ],
+      "name": "OneTimeQueryableRegestryModule"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/eggs/minecraft/1.21/minecraft/config/litematica/litematica_RedTest_dim_minecraft_overworld.json b/eggs/minecraft/1.21/minecraft/config/litematica/litematica_RedTest_dim_minecraft_overworld.json
index eb7b869..6aa2793 100644
--- a/eggs/minecraft/1.21/minecraft/config/litematica/litematica_RedTest_dim_minecraft_overworld.json
+++ b/eggs/minecraft/1.21/minecraft/config/litematica/litematica_RedTest_dim_minecraft_overworld.json
@@ -1,92 +1,11 @@
 {
   "selections": {
     "mode": "SIMPLE",
-    "current": "/home/someone/.config/yolk/eggs/minecraft/1.21/minecraft/config/litematica/area_selections_per_world/RedTest/area_selections/SerialToParallel.json"
-  },
-  "placements": {
-    "placements": [
-      {
-        "schematic": "/home/someone/.config/yolk/eggs/minecraft/1.21/minecraft/schematics/ParallelToSerial.litematic",
-        "name": "2BitCounterStackable",
-        "origin": [
-          18,
-          -60,
-          97
-        ],
-        "rotation": "NONE",
-        "mirror": "NONE",
-        "ignore_entities": false,
-        "enabled": true,
-        "enable_render": true,
-        "render_enclosing_box": false,
-        "locked": false,
-        "locked_coords": 0,
-        "bb_color": 16757504,
-        "verifier_type": "all",
-        "placements": [
-          {
-            "name": "2BitCounterStackable",
-            "placement": {
-              "pos": [
-                2,
-                4,
-                5
-              ],
-              "name": "2BitCounterStackable",
-              "rotation": "NONE",
-              "mirror": "NONE",
-              "locked_coords": 0,
-              "enabled": true,
-              "rendering_enabled": true,
-              "ignore_entities": false
-            }
-          }
-        ]
-      },
-      {
-        "schematic": "/home/someone/.config/yolk/eggs/minecraft/1.21/minecraft/schematics/ParallelToSerial.litematic",
-        "name": "2BitCounterStackable",
-        "origin": [
-          33,
-          -62,
-          77
-        ],
-        "rotation": "NONE",
-        "mirror": "NONE",
-        "ignore_entities": false,
-        "enabled": true,
-        "enable_render": true,
-        "render_enclosing_box": false,
-        "locked": false,
-        "locked_coords": 0,
-        "bb_color": 8404597,
-        "verifier_type": "all",
-        "placements": [
-          {
-            "name": "2BitCounterStackable",
-            "placement": {
-              "pos": [
-                2,
-                4,
-                5
-              ],
-              "name": "2BitCounterStackable",
-              "rotation": "NONE",
-              "mirror": "NONE",
-              "locked_coords": 0,
-              "enabled": true,
-              "rendering_enabled": true,
-              "ignore_entities": false
-            }
-          }
-        ]
-      }
-    ],
-    "selected": 1,
-    "origin_selected": true
+    "current": "/home/someone/.config/yolk/eggs/minecraft/1.21/minecraft/config/litematica/area_selections_per_world/RedTest/area_selections/OneTimeQueryableRegestryModule.json"
   },
+  "placements": {},
   "schematic_projects_manager": {},
-  "operation_mode": "PASTE_SCHEMATIC",
+  "operation_mode": "AREA_SELECTION",
   "render_range": {
     "mode": "ALL",
     "axis": "Y",
@@ -104,14 +23,14 @@
     "boxes": [
       {
         "pos1": [
-          24,
-          -61,
-          87
+          56,
+          -55,
+          42
         ],
         "pos2": [
-          26,
-          -56,
-          93
+          50,
+          -60,
+          44
         ],
         "name": "2BitCounterStackable"
       }
diff --git a/eggs/minecraft/1.21/minecraft/config/xaerominimap_entities.json b/eggs/minecraft/1.21/minecraft/config/xaerominimap_entities.json
index 7f813b6..c2360d3 100644
--- a/eggs/minecraft/1.21/minecraft/config/xaerominimap_entities.json
+++ b/eggs/minecraft/1.21/minecraft/config/xaerominimap_entities.json
@@ -10,16 +10,16 @@
   "name": "gui.xaero_entity_category_root",
   "protection": true,
   "settingOverrides": {
-    "displayed": true,
     "displayHeight": 0.0,
+    "displayed": true,
     "heightBasedFade": true,
     "renderOrder": 0.0,
     "color": 13.0,
     "displayNameWhenIconFails": true,
     "entityNumber": 1000.0,
     "alwaysDisplayNametags": false,
-    "startFadingAt": 0.0,
     "dotSize": 2.0,
+    "startFadingAt": 0.0,
     "renderOverMinimapFrame": 1.0,
     "icons": 1.0,
     "names": 0.0,
diff --git a/eggs/minecraft/1.21/minecraft/saves/RedTest/DIM-1/data/raids.dat b/eggs/minecraft/1.21/minecraft/saves/RedTest/DIM-1/data/raids.dat
index 3447977..c95d0cb 100644
Binary files a/eggs/minecraft/1.21/minecraft/saves/RedTest/DIM-1/data/raids.dat and b/eggs/minecraft/1.21/minecraft/saves/RedTest/DIM-1/data/raids.dat differ
diff --git a/eggs/minecraft/1.21/minecraft/saves/RedTest/DIM1/data/raids_end.dat b/eggs/minecraft/1.21/minecraft/saves/RedTest/DIM1/data/raids_end.dat
index 3447977..c95d0cb 100644
Binary files a/eggs/minecraft/1.21/minecraft/saves/RedTest/DIM1/data/raids_end.dat and b/eggs/minecraft/1.21/minecraft/saves/RedTest/DIM1/data/raids_end.dat differ
diff --git a/eggs/minecraft/1.21/minecraft/saves/RedTest/data/raids.dat b/eggs/minecraft/1.21/minecraft/saves/RedTest/data/raids.dat
index 3447977..c95d0cb 100644
Binary files a/eggs/minecraft/1.21/minecraft/saves/RedTest/data/raids.dat and b/eggs/minecraft/1.21/minecraft/saves/RedTest/data/raids.dat differ
diff --git a/eggs/minecraft/1.21/minecraft/saves/RedTest/entities/r.-1.-1.mca b/eggs/minecraft/1.21/minecraft/saves/RedTest/entities/r.-1.-1.mca
index 40a08d3..01f3853 100644
Binary files a/eggs/minecraft/1.21/minecraft/saves/RedTest/entities/r.-1.-1.mca and b/eggs/minecraft/1.21/minecraft/saves/RedTest/entities/r.-1.-1.mca differ
diff --git a/eggs/minecraft/1.21/minecraft/saves/RedTest/entities/r.-1.0.mca b/eggs/minecraft/1.21/minecraft/saves/RedTest/entities/r.-1.0.mca
index 7b671fa..ba255e0 100644
Binary files a/eggs/minecraft/1.21/minecraft/saves/RedTest/entities/r.-1.0.mca and b/eggs/minecraft/1.21/minecraft/saves/RedTest/entities/r.-1.0.mca differ
diff --git a/eggs/minecraft/1.21/minecraft/saves/RedTest/entities/r.0.-1.mca b/eggs/minecraft/1.21/minecraft/saves/RedTest/entities/r.0.-1.mca
index 836be58..4baca1a 100644
Binary files a/eggs/minecraft/1.21/minecraft/saves/RedTest/entities/r.0.-1.mca and b/eggs/minecraft/1.21/minecraft/saves/RedTest/entities/r.0.-1.mca differ
diff --git a/eggs/minecraft/1.21/minecraft/saves/RedTest/entities/r.0.0.mca b/eggs/minecraft/1.21/minecraft/saves/RedTest/entities/r.0.0.mca
index 7ed047f..704665f 100644
Binary files a/eggs/minecraft/1.21/minecraft/saves/RedTest/entities/r.0.0.mca and b/eggs/minecraft/1.21/minecraft/saves/RedTest/entities/r.0.0.mca differ
diff --git a/eggs/minecraft/1.21/minecraft/saves/RedTest/level.dat b/eggs/minecraft/1.21/minecraft/saves/RedTest/level.dat
index af48819..9bfc393 100644
Binary files a/eggs/minecraft/1.21/minecraft/saves/RedTest/level.dat and b/eggs/minecraft/1.21/minecraft/saves/RedTest/level.dat differ
diff --git a/eggs/minecraft/1.21/minecraft/saves/RedTest/level.dat_old b/eggs/minecraft/1.21/minecraft/saves/RedTest/level.dat_old
index 861b532..c0b3509 100644
Binary files a/eggs/minecraft/1.21/minecraft/saves/RedTest/level.dat_old and b/eggs/minecraft/1.21/minecraft/saves/RedTest/level.dat_old differ
diff --git a/eggs/minecraft/1.21/minecraft/saves/RedTest/playerdata/83aca42b-b499-4107-a00f-b8664bf4e34a.dat b/eggs/minecraft/1.21/minecraft/saves/RedTest/playerdata/83aca42b-b499-4107-a00f-b8664bf4e34a.dat
index f0f9486..4c5fd62 100644
Binary files a/eggs/minecraft/1.21/minecraft/saves/RedTest/playerdata/83aca42b-b499-4107-a00f-b8664bf4e34a.dat and b/eggs/minecraft/1.21/minecraft/saves/RedTest/playerdata/83aca42b-b499-4107-a00f-b8664bf4e34a.dat differ
diff --git a/eggs/minecraft/1.21/minecraft/saves/RedTest/playerdata/83aca42b-b499-4107-a00f-b8664bf4e34a.dat_old b/eggs/minecraft/1.21/minecraft/saves/RedTest/playerdata/83aca42b-b499-4107-a00f-b8664bf4e34a.dat_old
index e76de52..4886f9b 100644
Binary files a/eggs/minecraft/1.21/minecraft/saves/RedTest/playerdata/83aca42b-b499-4107-a00f-b8664bf4e34a.dat_old and b/eggs/minecraft/1.21/minecraft/saves/RedTest/playerdata/83aca42b-b499-4107-a00f-b8664bf4e34a.dat_old differ
diff --git a/eggs/minecraft/1.21/minecraft/saves/RedTest/region/r.-1.-1.mca b/eggs/minecraft/1.21/minecraft/saves/RedTest/region/r.-1.-1.mca
index dfe8fb2..6bf5720 100644
Binary files a/eggs/minecraft/1.21/minecraft/saves/RedTest/region/r.-1.-1.mca and b/eggs/minecraft/1.21/minecraft/saves/RedTest/region/r.-1.-1.mca differ
diff --git a/eggs/minecraft/1.21/minecraft/saves/RedTest/region/r.-1.0.mca b/eggs/minecraft/1.21/minecraft/saves/RedTest/region/r.-1.0.mca
index 5e657ad..1bdfb3c 100644
Binary files a/eggs/minecraft/1.21/minecraft/saves/RedTest/region/r.-1.0.mca and b/eggs/minecraft/1.21/minecraft/saves/RedTest/region/r.-1.0.mca differ
diff --git a/eggs/minecraft/1.21/minecraft/saves/RedTest/region/r.0.-1.mca b/eggs/minecraft/1.21/minecraft/saves/RedTest/region/r.0.-1.mca
index 1b0606e..8a00606 100644
Binary files a/eggs/minecraft/1.21/minecraft/saves/RedTest/region/r.0.-1.mca and b/eggs/minecraft/1.21/minecraft/saves/RedTest/region/r.0.-1.mca differ
diff --git a/eggs/minecraft/1.21/minecraft/saves/RedTest/region/r.0.0.mca b/eggs/minecraft/1.21/minecraft/saves/RedTest/region/r.0.0.mca
index 29d43a1..5b18b32 100644
Binary files a/eggs/minecraft/1.21/minecraft/saves/RedTest/region/r.0.0.mca and b/eggs/minecraft/1.21/minecraft/saves/RedTest/region/r.0.0.mca differ
diff --git a/eggs/minecraft/1.21/minecraft/saves/RedTest/stats/83aca42b-b499-4107-a00f-b8664bf4e34a.json b/eggs/minecraft/1.21/minecraft/saves/RedTest/stats/83aca42b-b499-4107-a00f-b8664bf4e34a.json
index 69527b6..9672268 100644
--- a/eggs/minecraft/1.21/minecraft/saves/RedTest/stats/83aca42b-b499-4107-a00f-b8664bf4e34a.json
+++ b/eggs/minecraft/1.21/minecraft/saves/RedTest/stats/83aca42b-b499-4107-a00f-b8664bf4e34a.json
@@ -1 +1 @@
-{"stats":{"minecraft:picked_up":{"turingcomplete:not_gate_block":7,"turingcomplete:switch_gate_block":9,"minecraft:repeater":34,"turingcomplete:omni_directional_redstone_bridge_block":2,"minecraft:birch_button":1,"minecraft:sand":3,"turingcomplete:sr_latch_block":7,"minecraft:jungle_button":2,"turingcomplete:3and_gate_block":3,"turingcomplete:t_latch_block":2,"minecraft:redstone":3311,"turingcomplete:jk_latch_block":1,"turingcomplete:full_adder":2,"minecraft:oak_sign":5,"minecraft:lever":24,"minecraft:comparator":5,"turingcomplete:and_gate_block":11,"minecraft:redstone_torch":40,"minecraft:oak_button":11},"minecraft:custom":{"minecraft:time_since_rest":1332308,"minecraft:interact_with_furnace":2,"minecraft:sprint_one_cm":32678,"minecraft:walk_one_cm":509131,"minecraft:damage_dealt":20,"minecraft:talked_to_villager":2,"minecraft:interact_with_crafting_table":2,"minecraft:fly_one_cm":2746253,"minecraft:open_barrel":11,"minecraft:crouch_one_cm":11733,"minecraft:play_time":1332308,"minecraft:sneak_time":32313,"minecraft:jump":1479,"minecraft:leave_game":15,"minecraft:time_since_death":1332308,"minecraft:total_world_time":1409570},"minecraft:used":{"minecraft:oak_log":16,"turingcomplete:omni_directional_redstone_bridge_block":33,"minecraft:sticky_piston":23,"turingcomplete:logic_base_plate_block":3,"minecraft:piston":32,"minecraft:lever":119,"minecraft:red_wool":167,"minecraft:green_wool":115,"minecraft:spruce_slab":3,"minecraft:oak_sign":34,"turingcomplete:or_gate_block":3,"turingcomplete:full_adder":16,"minecraft:grass_block":58,"minecraft:stone_button":13,"minecraft:lime_wool":2,"minecraft:redstone":1899,"minecraft:oak_button":34,"turingcomplete:xnor_gate_block":9,"minecraft:blue_wool":173,"turingcomplete:and_gate_block":92,"minecraft:redstone_block":7,"turingcomplete:jk_latch_block":31,"minecraft:pink_wool":42,"minecraft:barrel":4,"minecraft:deepslate_bricks":1237,"minecraft:yellow_wool":33,"minecraft:birch_button":1,"turingcomplete:3and_gate_block":23,"minecraft:repeater":337,"turingcomplete:nand_gate_block":32,"turingcomplete:xor_gate_block":43,"turingcomplete:t_latch_block":36,"turingcomplete:switch_gate_block":118,"minecraft:dirt":14,"minecraft:redstone_lamp":46,"minecraft:sand":38,"minecraft:target":72,"minecraft:comparator":96,"minecraft:oak_slab":11,"turingcomplete:not_gate_block":138,"minecraft:jungle_button":2,"minecraft:crafting_table":1,"minecraft:furnace":3,"minecraft:light_blue_wool":54,"minecraft:deepslate_brick_slab":24,"minecraft:orange_wool":3,"turingcomplete:half_adder":8,"minecraft:cyan_wool":356,"minecraft:observer":7,"turingcomplete:bi_directional_redstone_bridge_block":31,"minecraft:waxed_copper_bulb":1,"minecraft:purple_wool":352,"turingcomplete:sr_latch_block":63,"minecraft:glass":32,"turingcomplete:memory_cell_gate":68,"minecraft:redstone_torch":480}},"DataVersion":3953}
\ No newline at end of file
+{"stats":{"minecraft:used":{"minecraft:oak_log":16,"turingcomplete:omni_directional_redstone_bridge_block":43,"minecraft:sticky_piston":23,"turingcomplete:logic_base_plate_block":3,"minecraft:piston":32,"minecraft:lever":158,"minecraft:spruce_button":2,"minecraft:red_wool":210,"minecraft:green_wool":117,"minecraft:spruce_slab":3,"minecraft:oak_sign":57,"turingcomplete:or_gate_block":3,"turingcomplete:full_adder":33,"minecraft:grass_block":59,"minecraft:stone_button":13,"minecraft:oak_button":36,"minecraft:redstone":2096,"minecraft:lime_wool":2,"turingcomplete:xnor_gate_block":9,"minecraft:blue_wool":173,"turingcomplete:and_gate_block":94,"minecraft:redstone_block":7,"turingcomplete:jk_latch_block":31,"minecraft:pink_wool":45,"minecraft:barrel":4,"minecraft:deepslate_bricks":1237,"minecraft:yellow_wool":89,"minecraft:birch_button":1,"turingcomplete:3and_gate_block":25,"minecraft:repeater":354,"turingcomplete:nand_gate_block":32,"turingcomplete:xor_gate_block":58,"turingcomplete:t_latch_block":36,"turingcomplete:switch_gate_block":123,"minecraft:dirt":14,"minecraft:redstone_lamp":58,"minecraft:sand":38,"minecraft:target":76,"minecraft:comparator":96,"minecraft:oak_slab":11,"turingcomplete:not_gate_block":149,"minecraft:jungle_button":2,"minecraft:crafting_table":1,"minecraft:furnace":3,"minecraft:light_blue_wool":54,"minecraft:deepslate_brick_slab":24,"minecraft:orange_wool":3,"turingcomplete:half_adder":8,"minecraft:cyan_wool":642,"minecraft:observer":7,"turingcomplete:bi_directional_redstone_bridge_block":31,"minecraft:waxed_copper_bulb":1,"minecraft:purple_wool":431,"turingcomplete:sr_latch_block":72,"minecraft:glass":33,"turingcomplete:memory_cell_gate":81,"minecraft:redstone_torch":531},"minecraft:custom":{"minecraft:time_since_rest":1449201,"minecraft:interact_with_furnace":2,"minecraft:sprint_one_cm":37635,"minecraft:walk_one_cm":545383,"minecraft:damage_dealt":20,"minecraft:talked_to_villager":2,"minecraft:interact_with_crafting_table":2,"minecraft:fly_one_cm":3070389,"minecraft:open_barrel":11,"minecraft:crouch_one_cm":12450,"minecraft:play_time":1449201,"minecraft:sneak_time":35751,"minecraft:jump":1590,"minecraft:leave_game":18,"minecraft:time_since_death":1449201,"minecraft:total_world_time":1540811},"minecraft:picked_up":{"turingcomplete:not_gate_block":8,"turingcomplete:switch_gate_block":10,"minecraft:repeater":34,"turingcomplete:omni_directional_redstone_bridge_block":2,"minecraft:birch_button":1,"minecraft:sand":3,"turingcomplete:sr_latch_block":7,"minecraft:jungle_button":2,"turingcomplete:3and_gate_block":3,"turingcomplete:t_latch_block":2,"minecraft:redstone":3344,"turingcomplete:jk_latch_block":1,"turingcomplete:full_adder":3,"minecraft:oak_sign":8,"turingcomplete:xor_gate_block":1,"minecraft:lever":27,"minecraft:comparator":5,"turingcomplete:and_gate_block":12,"minecraft:redstone_torch":48,"minecraft:oak_button":12}},"DataVersion":3953}
\ No newline at end of file
diff --git a/eggs/minecraft/1.21/minecraft/schematics/OneTimeQueryableRegestryModule.litematic b/eggs/minecraft/1.21/minecraft/schematics/OneTimeQueryableRegestryModule.litematic
new file mode 100644
index 0000000..3edeb1f
Binary files /dev/null and b/eggs/minecraft/1.21/minecraft/schematics/OneTimeQueryableRegestryModule.litematic differ
diff --git a/eggs/minecraft/1.21/minecraft/usercache.json b/eggs/minecraft/1.21/minecraft/usercache.json
index 955d99a..76b8f5f 100644
--- a/eggs/minecraft/1.21/minecraft/usercache.json
+++ b/eggs/minecraft/1.21/minecraft/usercache.json
@@ -1 +1 @@
-[{"name":"Kyattsukuro","uuid":"83aca42b-b499-4107-a00f-b8664bf4e34a","expiresOn":"2025-08-21 20:11:56 +0200"}]
\ No newline at end of file
+[{"name":"Kyattsukuro","uuid":"83aca42b-b499-4107-a00f-b8664bf4e34a","expiresOn":"2025-08-28 18:14:30 +0200"}]
\ No newline at end of file
diff --git a/eggs/theme/gtk3/custom-papers b/eggs/theme/gtk3/custom-papers
new file mode 100644
index 0000000..829630c
--- /dev/null
+++ b/eggs/theme/gtk3/custom-papers
@@ -0,0 +1,10 @@
+[Paper0]
+Name=Custom Size 1
+DisplayName=Custom Size 1
+Width=210
+Height=297
+MarginTop=6.3499999999999996
+MarginBottom=14.224
+MarginLeft=6.3499999999999996
+MarginRight=6.3499999999999996
+Orientation=portrait
diff --git a/eggs/thunar/thunar/renamerrc b/eggs/thunar/thunar/renamerrc
index 2247f0d..6fc1224 100644
--- a/eggs/thunar/thunar/renamerrc
+++ b/eggs/thunar/thunar/renamerrc
@@ -16,7 +16,7 @@ Start=1
 
 [ThunarSbrReplaceRenamer]
 CaseSensitive=FALSE
-Replacement=.mp3
-Pattern=(-[^.|-]+).mp3
+Replacement=.mp4
+Pattern=(-[^.|-]+).mp4
 Regexp=TRUE
 
diff --git a/eggs/thunar/xfce/xfconf/xfce-perchannel-xml/thunar.xml b/eggs/thunar/xfce/xfconf/xfce-perchannel-xml/thunar.xml
index 24151f8..d7864b8 100644
--- a/eggs/thunar/xfce/xfconf/xfce-perchannel-xml/thunar.xml
+++ b/eggs/thunar/xfce/xfconf/xfce-perchannel-xml/thunar.xml
@@ -6,7 +6,7 @@
   <property name="last-window-maximized" type="bool" value="true"/>
   <property name="last-details-view-zoom-level" type="string" value="THUNAR_ZOOM_LEVEL_38_PERCENT"/>
   <property name="last-details-view-visible-columns" type="string" value="THUNAR_COLUMN_DATE_CREATED,THUNAR_COLUMN_DATE_MODIFIED,THUNAR_COLUMN_GROUP,THUNAR_COLUMN_MIME_TYPE,THUNAR_COLUMN_NAME,THUNAR_COLUMN_OWNER,THUNAR_COLUMN_PERMISSIONS,THUNAR_COLUMN_SIZE"/>
-  <property name="last-details-view-column-widths" type="string" value="159,159,159,159,92,691,74,580,514,79,118,81,126,156"/>
+  <property name="last-details-view-column-widths" type="string" value="159,159,159,159,92,153,74,109,907,79,118,78,126,156"/>
   <property name="last-separator-position" type="int" value="147"/>
   <property name="last-show-hidden" type="bool" value="true"/>
   <property name="misc-single-click" type="bool" value="false"/>
@@ -32,13 +32,14 @@
   <property name="misc-folder-item-count" type="string" value="THUNAR_FOLDER_ITEM_COUNT_ALWAYS"/>
   <property name="last-details-view-column-order" type="string" value="THUNAR_COLUMN_NAME,THUNAR_COLUMN_DATE_MODIFIED,THUNAR_COLUMN_SIZE,THUNAR_COLUMN_SIZE_IN_BYTES,THUNAR_COLUMN_TYPE,THUNAR_COLUMN_LOCATION,THUNAR_COLUMN_MIME_TYPE,THUNAR_COLUMN_DATE_CREATED,THUNAR_COLUMN_PERMISSIONS,THUNAR_COLUMN_OWNER,THUNAR_COLUMN_GROUP,THUNAR_COLUMN_DATE_ACCESSED,THUNAR_COLUMN_RECENCY,THUNAR_COLUMN_DATE_DELETED"/>
   <property name="last-tabs-left" type="array">
-    <value type="string" value="file:///home/someone/Nextcloud/Office/DieLinke/solid/UmgangKi"/>
+    <value type="string" value="file:///home/someone/Nextcloud/Office/DieLinke/solid/notes"/>
+    <value type="string" value="file:///home/someone/Documents/vm_shared"/>
   </property>
   <property name="last-focused-tab-left" type="int" value="0"/>
   <property name="last-focused-tab-right" type="int" value="0"/>
   <property name="misc-confirm-close-multiple-tabs" type="bool" value="false"/>
-  <property name="last-sort-column" type="string" value="THUNAR_COLUMN_DATE_MODIFIED"/>
-  <property name="last-sort-order" type="string" value="GTK_SORT_DESCENDING"/>
+  <property name="last-sort-column" type="string" value="THUNAR_COLUMN_NAME"/>
+  <property name="last-sort-order" type="string" value="GTK_SORT_ASCENDING"/>
   <property name="misc-file-size-binary" type="bool" value="true"/>
   <property name="last-toolbar-items" type="string" value="menu:0,back:1,open-parent:1,forward:1,reload:1,open-home:1,undo:0,redo:0,zoom-in:0,zoom-out:0,zoom-reset:0,view-as-icons:0,view-as-detailed-list:0,view-as-compact-list:0,toggle-split-view:0,location-bar:1,search:1,uca-action-1742057602097788-1:0,uca-action-1742077667062723-1:0,new-tab:0,new-window:0,view-switcher:0"/>
   <property name="last-renamer-dialog-maximized" type="bool" value="true"/>
diff --git a/eggs/vlc/vlc-qt-interface.conf b/eggs/vlc/vlc-qt-interface.conf
index 9fbe196..775cdaf 100644
--- a/eggs/vlc/vlc-qt-interface.conf
+++ b/eggs/vlc/vlc-qt-interface.conf
@@ -1,6 +1,6 @@
 [General]
 filedialog-path=@Variant(\0\0\0\x11\0\0\0\r/home/someone)
-geometry=@ByteArray(\x1\xd9\xd0\xcb\0\x3\0\0\0\0\0\f\0\0\0\f\0\0\b\xd7\0\0\x5\x93\0\0\0\f\0\0\0\f\0\0\b\xd7\0\0\x5\x93\0\0\0\0\0\0\0\0\rp\0\0\0\f\0\0\0\f\0\0\b\xd7\0\0\x5\x93)
+geometry=@ByteArray(\x1\xd9\xd0\xcb\0\x3\0\0\0\0\0\f\0\0\0\f\0\0\a2\0\0\x5\x93\0\0\0\f\0\0\0\f\0\0\a2\0\0\x5\x93\0\0\0\0\0\0\0\0\rp\0\0\0\f\0\0\0\f\0\0\a2\0\0\x5\x93)
 
 [FullScreen]
 pos=@Point(0 0)
@@ -16,5 +16,5 @@ playlistSize=@Size(-1 -1)
 status-bar-visible=false
 
 [RecentsMRL]
-list=file:///home/someone/Documents/socialist_lyrics/Abschied%20von%20Spanien%20-%20Ernst%20Busch%20%5B%E2%AD%90%20LYRICS%20GER%E2%A7%B8ENG%5D%20%5BSpanish%20Civil%20War%5D.mp3, file:///home/someone/Documents/socialist_lyrics/Abschied%20von%20Spanien%2C%20Flamingos%20im%20Ebrodelta%20und%20Gasflaschenwechsel.%20%C3%9Cberwintern%20in%20Spanien%202023..mp3, file:///home/someone/Downloads/4.19%20Wichtige%20Anwendungsprotokolle.mp4, file:///home/someone/responcive_review_h264.mp4, file:///home/someone/Downloads/Legefilm-Auswirkung-von-Synonymen-und-Umschreibungen.mp4, file:///home/someone/Videos/Screencasts/Screencast_20241010_182543.webm, file:///home/someone/Nextcloud/Office/Schule/Kun/Vom%20Anfang%20bis%20heute%20-%20Die%20Geschichte%20der%20Fotografie%20Videos%20by%20Arne.mp4
-times=30309, 0, 146400, 0, 168570, 0, 0
+list=file:///home/someone/Downloads/KPop%20Demon%20Hunters-4796162205554688.mp4, file:///home/someone/Documents/handbrake/in/1.Crossing%20Japan%20With%20No%20Map.mp4, file:///home/someone/Documents/handbrake/out/1.Crossing%20Japan%20With%20No%20Map.mp4, file:///home/someone/Documents/socialist_lyrics/Abschied%20von%20Spanien%20-%20Ernst%20Busch%20%5B%E2%AD%90%20LYRICS%20GER%E2%A7%B8ENG%5D%20%5BSpanish%20Civil%20War%5D.mp3, file:///home/someone/Documents/socialist_lyrics/Abschied%20von%20Spanien%2C%20Flamingos%20im%20Ebrodelta%20und%20Gasflaschenwechsel.%20%C3%9Cberwintern%20in%20Spanien%202023..mp3, file:///home/someone/Downloads/4.19%20Wichtige%20Anwendungsprotokolle.mp4, file:///home/someone/responcive_review_h264.mp4, file:///home/someone/Downloads/Legefilm-Auswirkung-von-Synonymen-und-Umschreibungen.mp4, file:///home/someone/Videos/Screencasts/Screencast_20241010_182543.webm, file:///home/someone/Nextcloud/Office/Schule/Kun/Vom%20Anfang%20bis%20heute%20-%20Die%20Geschichte%20der%20Fotografie%20Videos%20by%20Arne.mp4
+times=623432, 0, 784589, 30309, 0, 146400, 0, 168570, 0, 0
diff --git a/eggs/wireshark/extcap.cfg b/eggs/wireshark/extcap.cfg
index 8190d2d..90ff7b0 100644
--- a/eggs/wireshark/extcap.cfg
+++ b/eggs/wireshark/extcap.cfg
@@ -45,7 +45,7 @@
 
 # Remote capture filter
 # A string
-#extcap.ciscodump.remotefilter: deny tcp host fe80::fc54:ff:fe1f:bb25 any eq 22, deny tcp any eq 22 host fe80::fc54:ff:fe1f:bb25, deny tcp host fe80::fc54:ff:fe87:920f any eq 22, deny tcp any eq 22 host fe80::fc54:ff:fe87:920f, deny tcp host fe80::c935:cea5:be9c:9105 any eq 22, deny tcp any eq 22 host fe80::c935:cea5:be9c:9105, deny tcp host fd00:4::645a:66ae:8dcf:ffee any eq 22, deny tcp any eq 22 host fd00:4::645a:66ae:8dcf:ffee, deny tcp host fd00:4::ac16:fcdb:296b:670f any eq 22, deny tcp any eq 22 host fd00:4::ac16:fcdb:296b:670f, deny tcp host 172.18.0.1 any eq 22, deny tcp any eq 22 host 172.18.0.1, deny tcp host 172.25.0.1 any eq 22, deny tcp any eq 22 host 172.25.0.1, deny tcp host 172.22.0.1 any eq 22, deny tcp any eq 22 host 172.22.0.1, deny tcp host 172.23.0.1 any eq 22, deny tcp any eq 22 host 172.23.0.1, deny tcp host 172.20.0.1 any eq 22, deny tcp any eq 22 host 172.20.0.1, deny tcp host 172.27.0.1 any eq 22, deny tcp any eq 22 host 172.27.0.1, deny tcp host 172.17.0.1 any eq 22, deny tcp any eq 22 host 172.17.0.1, deny tcp host 172.26.0.1 any eq 22, deny tcp any eq 22 host 172.26.0.1, deny tcp host 172.21.0.1 any eq 22, deny tcp any eq 22 host 172.21.0.1, deny tcp host 172.19.0.1 any eq 22, deny tcp any eq 22 host 172.19.0.1, deny tcp host 172.24.4.4 any eq 22, deny tcp any eq 22 host 172.24.4.4, permit ip any any
+#extcap.ciscodump.remotefilter: deny tcp host fe80::fc54:ff:fe87:920f any eq 22, deny tcp any eq 22 host fe80::fc54:ff:fe87:920f, deny tcp host fe80::4be9:942c:19ed:6661 any eq 22, deny tcp any eq 22 host fe80::4be9:942c:19ed:6661, deny tcp host fe80::c935:cea5:be9c:9105 any eq 22, deny tcp any eq 22 host fe80::c935:cea5:be9c:9105, deny tcp host fd00:4::ffff:ffff:44c:ca11 any eq 22, deny tcp any eq 22 host fd00:4::ffff:ffff:44c:ca11, deny tcp host 172.24.2.167 any eq 22, deny tcp any eq 22 host 172.24.2.167, deny tcp host 172.22.0.1 any eq 22, deny tcp any eq 22 host 172.22.0.1, deny tcp host 172.20.0.1 any eq 22, deny tcp any eq 22 host 172.20.0.1, deny tcp host 172.17.0.1 any eq 22, deny tcp any eq 22 host 172.17.0.1, deny tcp host 172.26.0.1 any eq 22, deny tcp any eq 22 host 172.26.0.1, deny tcp host 172.18.0.1 any eq 22, deny tcp any eq 22 host 172.18.0.1, deny tcp host 172.21.0.1 any eq 22, deny tcp any eq 22 host 172.21.0.1, deny tcp host 172.23.0.1 any eq 22, deny tcp any eq 22 host 172.23.0.1, deny tcp host 172.27.0.1 any eq 22, deny tcp any eq 22 host 172.27.0.1, deny tcp host 172.19.0.1 any eq 22, deny tcp any eq 22 host 172.19.0.1, deny tcp host 172.25.0.1 any eq 22, deny tcp any eq 22 host 172.25.0.1, deny tcp host 172.24.4.171 any eq 22, deny tcp any eq 22 host 172.24.4.171, permit ip any any
 
 # Packets to capture
 # A string
@@ -173,7 +173,7 @@
 
 # Remote capture filter
 # A string
-#extcap.sshdump.remotefilter: not ((host fe80::fc54:ff:fe1f:bb25 or host fe80::fc54:ff:fe87:920f or host fe80::c935:cea5:be9c:9105 or host fd00:4::645a:66ae:8dcf:ffee or host fd00:4::ac16:fcdb:296b:670f or host 172.18.0.1 or host 172.25.0.1 or host 172.22.0.1 or host 172.23.0.1 or host 172.20.0.1 or host 172.27.0.1 or host 172.17.0.1 or host 172.26.0.1 or host 172.21.0.1 or host 172.19.0.1 or host 172.24.4.4) and port 22)
+#extcap.sshdump.remotefilter: not ((host fe80::fc54:ff:fe87:920f or host fe80::4be9:942c:19ed:6661 or host fe80::c935:cea5:be9c:9105 or host fd00:4::ffff:ffff:44c:ca11 or host 172.24.2.167 or host 172.22.0.1 or host 172.20.0.1 or host 172.17.0.1 or host 172.26.0.1 or host 172.18.0.1 or host 172.21.0.1 or host 172.23.0.1 or host 172.27.0.1 or host 172.19.0.1 or host 172.25.0.1 or host 172.24.4.171) and port 22)
 
 # Packets to capture
 # A string
diff --git a/eggs/wireshark/preferences b/eggs/wireshark/preferences
index a788131..84f9d70 100644
--- a/eggs/wireshark/preferences
+++ b/eggs/wireshark/preferences
@@ -359,7 +359,7 @@ gui.layout_type: 1
 
 # Interface link-layer header types (Ex: en0(1),en1(143),...)
 # A string
-#capture.devices_linktypes: 
+capture.devices_linktypes: enp6s0(1),br1(1),vlan.20(1),vnet0(1),any(113),lo(1),wlp5s0(1),br-cdcb5dfd424e(1),br-35ac9dfb07e0(1),br-a7829ae761c2(1),br-b57f1c646b46(1),br-d02d3d521162(1),br-f9417db137b1(1),br-fd7fd2ff006e(1),docker0(1),br-ae374a851fbe(1),br-b58fd324f081(1),bluetooth0(201),bluetooth-monitor(254),nflog(239),nfqueue(228),ciscodump(147),dpauxmon(275),randpkt(147),sdjournal(147),sshdump(147),udpdump(252),wifidump(147)
 
 # Interface descriptions (Ex: eth0(eth0 descr),eth1(eth1 descr),...)
 # A string
@@ -375,15 +375,15 @@ gui.layout_type: 1
 
 # Interface buffer size (Ex: en0(1),en1(143),...)
 # A string
-#capture.devices_buffersize: 
+capture.devices_buffersize: enp6s0(2),br1(2),vlan.20(2),vnet0(2),any(2),lo(2),wlp5s0(2),br-cdcb5dfd424e(2),br-35ac9dfb07e0(2),br-a7829ae761c2(2),br-b57f1c646b46(2),br-d02d3d521162(2),br-f9417db137b1(2),br-fd7fd2ff006e(2),docker0(2),br-ae374a851fbe(2),br-b58fd324f081(2),bluetooth0(2),bluetooth-monitor(2),nflog(2),nfqueue(2),ciscodump(2),dpauxmon(2),randpkt(2),sdjournal(2),sshdump(2),udpdump(2),wifidump(2)
 
 # Interface snap length (Ex: en0(65535),en1(1430),...)
 # A string
-#capture.devices_snaplen: 
+capture.devices_snaplen: enp6s0:0(262144),br1:0(262144),vlan.20:0(262144),vnet0:0(262144),any:0(262144),lo:0(262144),wlp5s0:0(262144),br-cdcb5dfd424e:0(262144),br-35ac9dfb07e0:0(262144),br-a7829ae761c2:0(262144),br-b57f1c646b46:0(262144),br-d02d3d521162:0(262144),br-f9417db137b1:0(262144),br-fd7fd2ff006e:0(262144),docker0:0(262144),br-ae374a851fbe:0(262144),br-b58fd324f081:0(262144),bluetooth0:0(262144),bluetooth-monitor:0(262144),nflog:0(262144),nfqueue:0(262144),ciscodump:0(262144),dpauxmon:0(262144),randpkt:0(262144),sdjournal:0(262144),sshdump:0(262144),udpdump:0(262144),wifidump:0(262144)
 
 # Interface promiscuous mode (Ex: en0(0),en1(1),...)
 # A string
-#capture.devices_pmode: 
+capture.devices_pmode: enp6s0(1),br1(1),vlan.20(1),vnet0(1),any(1),lo(1),wlp5s0(1),br-cdcb5dfd424e(1),br-35ac9dfb07e0(1),br-a7829ae761c2(1),br-b57f1c646b46(1),br-d02d3d521162(1),br-f9417db137b1(1),br-fd7fd2ff006e(1),docker0(1),br-ae374a851fbe(1),br-b58fd324f081(1),bluetooth0(1),bluetooth-monitor(1),nflog(1),nfqueue(1),ciscodump(1),dpauxmon(1),randpkt(1),sdjournal(1),sshdump(1),udpdump(1),wifidump(1)
 
 # Capture in promiscuous mode?
 # true or false (case-insensitive)
@@ -477,7 +477,7 @@ gui.layout_type: 1
 
 # Remote capture filter
 # A string
-#extcap.ciscodump.remotefilter: deny tcp host fe80::fc54:ff:fe1f:bb25 any eq 22, deny tcp any eq 22 host fe80::fc54:ff:fe1f:bb25, deny tcp host fe80::fc54:ff:fe87:920f any eq 22, deny tcp any eq 22 host fe80::fc54:ff:fe87:920f, deny tcp host fe80::c935:cea5:be9c:9105 any eq 22, deny tcp any eq 22 host fe80::c935:cea5:be9c:9105, deny tcp host fd00:4::645a:66ae:8dcf:ffee any eq 22, deny tcp any eq 22 host fd00:4::645a:66ae:8dcf:ffee, deny tcp host fd00:4::ac16:fcdb:296b:670f any eq 22, deny tcp any eq 22 host fd00:4::ac16:fcdb:296b:670f, deny tcp host 172.18.0.1 any eq 22, deny tcp any eq 22 host 172.18.0.1, deny tcp host 172.25.0.1 any eq 22, deny tcp any eq 22 host 172.25.0.1, deny tcp host 172.22.0.1 any eq 22, deny tcp any eq 22 host 172.22.0.1, deny tcp host 172.23.0.1 any eq 22, deny tcp any eq 22 host 172.23.0.1, deny tcp host 172.20.0.1 any eq 22, deny tcp any eq 22 host 172.20.0.1, deny tcp host 172.27.0.1 any eq 22, deny tcp any eq 22 host 172.27.0.1, deny tcp host 172.17.0.1 any eq 22, deny tcp any eq 22 host 172.17.0.1, deny tcp host 172.26.0.1 any eq 22, deny tcp any eq 22 host 172.26.0.1, deny tcp host 172.21.0.1 any eq 22, deny tcp any eq 22 host 172.21.0.1, deny tcp host 172.19.0.1 any eq 22, deny tcp any eq 22 host 172.19.0.1, deny tcp host 172.24.4.4 any eq 22, deny tcp any eq 22 host 172.24.4.4, permit ip any any
+#extcap.ciscodump.remotefilter: deny tcp host fe80::fc54:ff:fe87:920f any eq 22, deny tcp any eq 22 host fe80::fc54:ff:fe87:920f, deny tcp host fe80::4be9:942c:19ed:6661 any eq 22, deny tcp any eq 22 host fe80::4be9:942c:19ed:6661, deny tcp host fe80::c935:cea5:be9c:9105 any eq 22, deny tcp any eq 22 host fe80::c935:cea5:be9c:9105, deny tcp host fd00:4::ffff:ffff:44c:ca11 any eq 22, deny tcp any eq 22 host fd00:4::ffff:ffff:44c:ca11, deny tcp host 172.24.2.167 any eq 22, deny tcp any eq 22 host 172.24.2.167, deny tcp host 172.22.0.1 any eq 22, deny tcp any eq 22 host 172.22.0.1, deny tcp host 172.20.0.1 any eq 22, deny tcp any eq 22 host 172.20.0.1, deny tcp host 172.17.0.1 any eq 22, deny tcp any eq 22 host 172.17.0.1, deny tcp host 172.26.0.1 any eq 22, deny tcp any eq 22 host 172.26.0.1, deny tcp host 172.18.0.1 any eq 22, deny tcp any eq 22 host 172.18.0.1, deny tcp host 172.21.0.1 any eq 22, deny tcp any eq 22 host 172.21.0.1, deny tcp host 172.23.0.1 any eq 22, deny tcp any eq 22 host 172.23.0.1, deny tcp host 172.27.0.1 any eq 22, deny tcp any eq 22 host 172.27.0.1, deny tcp host 172.19.0.1 any eq 22, deny tcp any eq 22 host 172.19.0.1, deny tcp host 172.25.0.1 any eq 22, deny tcp any eq 22 host 172.25.0.1, deny tcp host 172.24.4.171 any eq 22, deny tcp any eq 22 host 172.24.4.171, permit ip any any
 
 # Packets to capture
 # A string
@@ -605,7 +605,7 @@ gui.layout_type: 1
 
 # Remote capture filter
 # A string
-#extcap.sshdump.remotefilter: not ((host fe80::fc54:ff:fe1f:bb25 or host fe80::fc54:ff:fe87:920f or host fe80::c935:cea5:be9c:9105 or host fd00:4::645a:66ae:8dcf:ffee or host fd00:4::ac16:fcdb:296b:670f or host 172.18.0.1 or host 172.25.0.1 or host 172.22.0.1 or host 172.23.0.1 or host 172.20.0.1 or host 172.27.0.1 or host 172.17.0.1 or host 172.26.0.1 or host 172.21.0.1 or host 172.19.0.1 or host 172.24.4.4) and port 22)
+#extcap.sshdump.remotefilter: not ((host fe80::fc54:ff:fe87:920f or host fe80::4be9:942c:19ed:6661 or host fe80::c935:cea5:be9c:9105 or host fd00:4::ffff:ffff:44c:ca11 or host 172.24.2.167 or host 172.22.0.1 or host 172.20.0.1 or host 172.17.0.1 or host 172.26.0.1 or host 172.18.0.1 or host 172.21.0.1 or host 172.23.0.1 or host 172.27.0.1 or host 172.19.0.1 or host 172.25.0.1 or host 172.24.4.171) and port 22)
 
 # Packets to capture
 # A string
@@ -2068,10 +2068,6 @@ gui.layout_type: 1
 # true or false (case-insensitive)
 #dsi.desegment: TRUE
 
-# Semicolon-separated list of private RSA keys used for DTLS decryption. Used by versions of Wireshark prior to 1.6
-# A string
-#dtls.keys_list: 
-
 # redirect dtls debug to file name; leave empty to disable debug, use "-" to redirect output to stderr
 # 
 # A path to a file
@@ -5787,10 +5783,6 @@ gui.layout_type: 1
 # true or false (case-insensitive)
 #tipc.desegment: TRUE
 
-# Semicolon-separated list of private RSA keys used for TLS decryption. Used by versions of Wireshark prior to 1.6
-# A string
-#tls.keys_list: 
-
 # Redirect TLS debug to the file specified. Leave empty to disable debugging or use "-" to redirect output to stderr.
 # A path to a file
 #tls.debug_file: 
diff --git a/eggs/wireshark/recent b/eggs/wireshark/recent
index 080f0d6..e16c074 100644
--- a/eggs/wireshark/recent
+++ b/eggs/wireshark/recent
@@ -67,7 +67,7 @@ gui.bytes_view: HEX
 
 # Bytes view text encoding.
 # One of: FROM_PACKET, ASCII, EBCDIC
-gui.bytes_encoding: FROM_PACKET
+gui.bytes_encoding: ASCII
 
 # Packet diagram field values show (hide).
 # true or false (case-insensitive).
@@ -95,19 +95,11 @@ gui.show_bytes_show: ASCII
 
 # Main window upper (or leftmost) pane size.
 # Decimal number.
-<<<<<<< HEAD
-gui.geometry_main_upper_pane: 482
-
-# Main window middle pane size.
-# Decimal number.
-gui.geometry_main_lower_pane: 345
-=======
 gui.geometry_main_upper_pane: 699
 
 # Main window middle pane size.
 # Decimal number.
 gui.geometry_main_lower_pane: 500
->>>>>>> adef91f1cbf953f8d3dcfe59bc9ff5eadf719ec5
 
 # Main window master splitter state.
 # Hex byte string.
@@ -134,7 +126,7 @@ column.width:
         %d, 260,
         %p, -1,
         %L, -1,
-        %i, 2517
+        %i, 2594
 
 # Open conversation dialog tabs.
 # List of conversation names, e.g. "TCP", "IPv6".
diff --git a/eggs/wireshark/recent_common b/eggs/wireshark/recent_common
index efcaa99..85cbbf6 100644
--- a/eggs/wireshark/recent_common
+++ b/eggs/wireshark/recent_common
@@ -10,33 +10,31 @@ recent.capture_file: /home/someone/Downloads/debug.pcap
 
 ######## Recent capture filters (latest first), cannot be altered through command line ########
 
+recent.capture_filter: dst host 10.1.0.1
+recent.capture_filter: ip
 recent.capture_filter: tcp
 recent.capture_filter.enp6s0: tcp
+recent.capture_filter.br1: dst host 10.1.0.1
 
 ######## Recent display filters (latest last), cannot be altered through command line ########
 
+recent.display_filter: tcp.stream eq 0
+recent.display_filter: tcp.stream eq 45
+recent.display_filter: ip.addr == 10.1.0.1
+recent.display_filter: ip
+recent.display_filter: tcp.stream eq 15
 recent.display_filter: ip.addr == 87.150.98.46
 recent.display_filter: ip.addr == 172.24.4.112
-recent.display_filter: ip
 recent.display_filter: udp.stream eq 1
 recent.display_filter: frame.marked == 1
 recent.display_filter: rtcp
-recent.display_filter: arp
-recent.display_filter: icmp or icmpv6
-recent.display_filter: tcp.stream eq 4
-recent.display_filter: tcp.stream eq 0
 
 # Main window geometry.
 # Decimal numbers.
-gui.geometry_main_x: 0
+gui.geometry_main_x: -3440
 gui.geometry_main_y: 0
-<<<<<<< HEAD
-gui.geometry_main_width: 1707
-gui.geometry_main_height: 1031
-=======
-gui.geometry_main_width: 1831
+gui.geometry_main_width: 3416
 gui.geometry_main_height: 1416
->>>>>>> adef91f1cbf953f8d3dcfe59bc9ff5eadf719ec5
 
 # Main window maximized.
 # true or false (case-insensitive).
@@ -44,11 +42,7 @@ gui.geometry_main_maximized: true
 
 # Main window geometry state.
 # Hex byte string.
-<<<<<<< HEAD
-gui.geometry_main: 01d9d0cb000300000000000000000000000006aa000004060000000000000000000003bf000002ff000000000200000006ab0000000000000000000006aa00000406
-=======
-gui.geometry_main: 01d9d0cb00030000000000000000000000000726000005870000000000000000000007260000058700000000020000000d7000000000000000000000072600000587
->>>>>>> adef91f1cbf953f8d3dcfe59bc9ff5eadf719ec5
+gui.geometry_main: 01d9d0cb00030000fffff29000000000ffffffe7000005870000000000000000000007260000058700000001020000000d70fffff29000000000ffffffe700000587
 
 # Leftalign Action Buttons.
 # true or false (case-insensitive).
@@ -130,12 +124,12 @@ gui.geom.PreferencesDialog.qt_geometry: 01d9d0cb0003000000000000000000000000032d
 # Decimal integers.
 gui.geom.FollowStreamDialog.x: 0
 gui.geom.FollowStreamDialog.y: 0
-gui.geom.FollowStreamDialog.width: 1138
-gui.geom.FollowStreamDialog.height: 1001
+gui.geom.FollowStreamDialog.width: 1825
+gui.geom.FollowStreamDialog.height: 1416
 # true or false (case-insensitive).
 gui.geom.FollowStreamDialog.maximized: false
 # Qt Geometry State (hex byte string).
-gui.geom.FollowStreamDialog.qt_geometry: 01d9d0cb00030000000000000000000000000471000003e8000000000000000000000471000003e800000000000000000780000000000000000000000471000003e8
+gui.geom.FollowStreamDialog.qt_geometry: 01d9d0cb00030000000000000000000000000720000005870000000000000000000007200000058700000000020000000d7000000000000000000000072000000587
 
 # Custom colors.
 # List of custom colors selected in Qt color picker.
diff --git a/root-conf/nixos/nixMain/configuration.nix b/root-conf/nixos/nixMain/configuration.nix
index 6051eaf..03ec770 100644
--- a/root-conf/nixos/nixMain/configuration.nix
+++ b/root-conf/nixos/nixMain/configuration.nix
@@ -200,6 +200,8 @@ in
   vlc
   rawtherapee
   python3
+  handbrake
+  svt-av1 # av1 encoder
   spotify
   blender
   file-roller # GUI arciver, support for thunar-arcive
diff --git a/root-conf/nixos/shared-conf.nix b/root-conf/nixos/shared-conf.nix
index 3a83d12..eab1efa 100644
--- a/root-conf/nixos/shared-conf.nix
+++ b/root-conf/nixos/shared-conf.nix
@@ -24,7 +24,7 @@
   };
 
   programs.wireshark = {
-    enable = false;
+    enable = true;
     usbmon.enable = true; # Allow USB monitoring
     dumpcap.enable = true; # Allow network capture
   };
@@ -104,5 +104,6 @@
     hunspellDicts.de_DE
 
     cnijfilter2 # Canon printer driver
+    wireshark
   ];
 }
\ No newline at end of file