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Researcher with public evidence across AI research.
@afedercooper.bsky.social and I have a new paper working through the surprisingly tricky problem of whether storing model weights that might or might not generate copyrighted output when prompted makes the model a "copy" under copyright law papers.ssrn.com/sol3/papers....
My latest paper discusses new tools @afedercooper.bsky.social and I, with others, are using to identify not just verbatim memorization in AI models but text that is extractable with only minor changes. We find significantly more memorization once we include non-exact copies. a…
5. Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain. With @katherinelee.bsky.social and @jtlg.bsky.social. J. Copyright Soc'y. arxiv.org/abs/2309.08133
4. Probabilistic "Copies" in Generative AI Models. With @marklemley.bsky.social. Forthcoming, Berkeley Tech. Law J. arxiv.org/abs/2607.14532
2. Scalable Extraction of Training Data from (Production) Language Models. With Milad Nasr, Nicholas Carlini, Katherine Lee, and others. arxiv.org/abs/2311.17035
3. Extracting memorized pieces of (copyrighted) books from open-weight language models. With @marklemley.bsky.social, Amy Cyphert, Percy Liang, Dan Ho, and others. Forthcoming, COLM '26. books-memorization.github.io
For more, please check out our work, cited in the decision above: 1. The Files are in the Computer: On Copyright, Memorization, and Generative AI. With @jtlg.bsky.social. Chi.-Kent Law Rev. scholarship.kentlaw.iit.edu/cklawreview/...
A colleague sent along the decision in GEMA v. Suno, which I got to reading today: media.licdn.com/dms/document... I have my own thoughts on aspects of the decision, but regardless of the details, it continues to blow my mind that papers from my PhD and postdoc get cited in li…
in our new preprint (with @marklemley.bsky.social and others), we revisit what it means to run valid extraction experiments from first principles. i recently gave a talk on this work at ICML, and we'll be wrapping up the preprint soon monkey-emeritus.github.io
is anyone else finding Opus 5 to be an utter disaster? I've seen some other people complaining about taking actions that don't make sense without approval. I don't use AI that way (yet); I iterate slowly/ co-work through what I'm working on. And Opus 5 just can't do that.
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