A. Feder Cooper
Researcher with public evidence across AI research.
- AI signals
- 4 past 30d
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- 4 distinct domains
- Discussions
- 3 past 30d
- Latest signal
- 18h ago
Articles & links
More here: arxiv.org/abs/2601.02671
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
Our large-scale study of memorization of books in open-weight LLMs (e.g., Llama, Qwen) will appear at the 2026 Conference on Language Modeling as an oral. We made a website for exploring our results on 200 books and 14 models: books-memorization.github.io
I think this is a really important read. @masnick.com carefully explains what is so shocking about recent revelations in court about undisclosed COIs concerning research on copyright and LLMs. www.techdirt.com/2026/09/25/o...
Prospective copyright plaintiffs have started asking me my opinion about citing "Alignment Whack-a-Mole" in litigation. It reports that fine-tuning makes frontier LLMs reproduce up to 85-90% of copyrighted books. I don't think the headline results hold up: afedercooper.info/wh…
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
Recent commentary
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.
Like many of my colleagues, I'm receiving dozens of EOI emails a day from prospective students. It's worth reading those emails before clicking send. (I expect most are using AI to draft emails. This tiny prompt injection is just to see if the sender bothered to even read the output.)
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