Zeitpunkt Nutzer Delta Tröts TNR Titel Version maxTL Do 03.10.2024 00:00:23 62.140 0 3.759.060 60,5 Fosstodon 4.2.13 500 Mi 02.10.2024 00:00:06 62.140 +1 3.755.928 60,4 Fosstodon 4.2.13 500 Di 01.10.2024 00:01:13 62.139 +1 3.752.620 60,4 Fosstodon 4.2.13 500 Mo 30.09.2024 00:01:12 62.138 +3 3.749.484 60,3 Fosstodon 4.2.12 500 So 29.09.2024 00:01:07 62.135 -1 3.746.995 60,3 Fosstodon 4.2.12 500 Sa 28.09.2024 00:01:07 62.136 +2 3.745.047 60,3 Fosstodon 4.2.12 500 Fr 27.09.2024 00:01:07 62.134 +2 3.741.982 60,2 Fosstodon 4.2.12 500 Do 26.09.2024 00:00:18 62.132 +5 3.738.514 60,2 Fosstodon 4.2.12 500 Mi 25.09.2024 00:00:21 62.127 +15 3.744.145 60,3 Fosstodon 4.2.12 500 Di 24.09.2024 00:00:00 62.112 0 3.741.205 60,2 Fosstodon 4.2.12 500
Gordon Inggs (@Gord1i) · 11/2022 · Tröts: 413 · Folger: 150
Do 03.10.2024 22:45
I used a similar workflow to DataConf to generate my @pyconza thread - https://fosstodon.org/@Gord1i/113245358089825006
1. Handwritten notes on my Kindle
2. Amazon OCR to generate a "searchable PDF". I presume this means the text is embedded in the doc metadata.
3. This time I then used multimodal ChatGPT to read the doc, and generate suggested toots.
Still a fair bit of editing, but got me 70-80% of the way there
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