
The Wrong Argument – Why Authors Lost Against Meta and What Comes Next
The Briefing by Weintraub Tobin
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Navigating Content Licensing and Fair Use in Model Training
This chapter emphasizes the critical need for proper licensing of content in AI training, alongside strategies for negotiating with rights holders. It discusses the importance of tracking data sources and promoting fair use to safeguard against legal issues while encouraging transformative practices.
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Transcript

In a major win for Meta, a federal court recently dismissed a lawsuit brought by prominent authors who claimed their books were illegally used to train the company’s LLaMA models. But the ruling doesn’t give AI companies a free pass—it reveals the roadmap for how a better-prepared copyright plaintiff could win next time.
