Zeitpunkt Nutzer Delta Tröts TNR Titel Version maxTL Di 08.10.2024 00:00:03 177.151 +29 9.357.889 52,8 mas.to 4.2.13 500 Mo 07.10.2024 00:00:00 177.122 +16 9.348.432 52,8 mas.to 4.2.13 500 So 06.10.2024 00:00:41 177.106 +30 9.340.348 52,7 mas.to 4.2.13 500 Sa 05.10.2024 00:00:05 177.076 +1 9.332.454 52,7 mas.to 4.2.12 500 Fr 04.10.2024 00:00:00 177.075 +26 9.329.610 52,7 mas.to 4.2.12 500 Do 03.10.2024 00:00:03 177.049 +21 9.319.820 52,6 mas.to 4.2.12 500 Mi 02.10.2024 00:00:06 177.028 +12 9.311.197 52,6 mas.to 4.2.12 500 Di 01.10.2024 00:01:04 177.016 +9 9.301.371 52,5 mas.to 4.2.12 500 Mo 30.09.2024 00:03:13 177.007 +13 9.300.106 52,5 mas.to 4.2.12 500 So 29.09.2024 00:00:34 176.994 0 9.292.540 52,5 mas.to 4.2.12 500
Osma A (@osma) · 11/2022 · Tröts: 3.345 · Folger: 968
Di 08.10.2024 07:46
This paper is a supremely interesting, and lay-reader friendly, analysis of the fair use claims of large language models and their training on copyrighted materials. It lands on a conclusion that LLMs can not justifiably claim fair use, primarily because the technology by its very nature incorporates the material it is trained on, regardless of whether it can be enticed to regurgitate copies of it verbatim (and many examples have shown it can). But do read it yourself!
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4924997
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