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Let's talk antitrust: October 2022
Global | Video | October 2022
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Publication
Two US decisions find that reproducing works to train large language models is fair use – Part 2: Kadrey v Meta
In Part 1 of this series on fair use in training large language models (LLMs), we discussed Judge Alsup’s decision of Bartz v Anthropic, which found that copying books to train an LLM was fair use, but using pirated books to create a central library was not.

Publication
L’AMF propose un encadrement pour l’usage de l’IA dans les services financiers : quelles obligations pour les institutions financières?
Selon un rapport conjoint du Bureau du surintendant des institutions financières (BSIF) et de l’Agence de la consommation en matière financière du Canada (ACFC), environ 70 % des institutions financières fédérales prévoient utiliser l’IA d’ici 2026 .

Publication
Two US decisions find that reproducing works to train large language models is fair use – Part 1: Bartz v Anthropic
Two recent judgments – decided just days apart – from different judges of the Northern District of California District Court determined that using copyrighted books to train large language models (LLMs) was fair use.
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