Expert attention map

The Who's Who of AI

What credible people across AI noticed, why it matters, and where the field is converging or disagreeing.

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Showing signals surfaced by A. Feder Cooper ×

The developments commanding sustained expert attention

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New Evaluation & benchmarks Research 21h ago
LLM memorization measurement study

How much do open-weight LLMs memorize specific books?

3 experts are actively discussing the implications.

2 experts 2 communities 1 sources clustered

“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”

3 experts discussed this · 17 posts
A. Feder Cooper: Working with @marklemley.bsky.social et al. has been a career highlight. It's a privilege to have our papers referenced in research, litigation, policy, and the press. I'm grateful others acknowled…
A. Feder Cooper: We make very carefully scoped claims, supported by an extensive set of baselines on non-training data. Without baselines, it's not possible to rigorously separate a model's ability to generate flue…
A. Feder Cooper: 4. The implications for copyright don't unambiguously favor either side in litigation: (a) LLMs could be derivative works of books they memorize; (b) it may be practical to generate infringing copi…
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New Models & releases Research 19h ago

Extracting books from production language models

2 experts are actively discussing the implications.

1 expert 1 community 1 sources clustered

“More here: arxiv.org/abs/2601.02671”

2 experts discussed this · 3 posts
Mike Masnick: This is an amazing study that does a great job of illustrating how memory works in LLMs. Obviously can't run these tests against the closed-source models! They put additional filters in front to pr…
Jed Brown: Some aspects of the methodology and strength of the results are disputed (see thread), but it's not plainly true that filters prevent extraction.
A. Feder Cooper: Yes absolutely. In other work, we were very surprised to see in late 2025 how easy it was to get around filters and other safeguards for Claude 3.7 Sonnet and Gemini 2.5 Pro.
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Established Models & releases Signal 4d ago

Openai accuses plaintiffs lawyers of paying for hiding and then laundering sketchy key evidence in ai copyright case

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered

“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...”

Established AI field signal Analysis 4d ago
AI memorization copyright misconceptions essay

Playing Whack-a-Mole with misconceptions about memorization, extraction, and copyright

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered

“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: …”

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3 experts · 10 posts · 20h ago
Multiple readings Research & technical analysis · 1 Questions & unknowns · 1
Liz Fong-Jones (方禮真): my god. every Llama includes a copy of eight of the most "important" Western texts, 3 of which Rowling: Frankenstein Harry Potter and the Chamber of Secrets Harry Potter and the Goblet of Fire Harr…
Liz Fong-Jones (方禮真): I am sure good things about Western society and moral alignment are included in the books which include some pretty hideous racism and anti-semitism, and also are written by an odious TERF. but hey…
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