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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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The developments commanding sustained expert attention

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Established AI field signal Signal 10d ago

Is the acl rolling review actually broken e86fc92d49d2

5 experts are actively discussing the implications.

2 experts 2 communities 1 sources clustered

“With my ACL PC abilities, I wanted to characterize who these folks are, whether they're actually "outsiders", whether their papers are much less likely to be accepted, is this growth just LLM slop? The whole analsis is here medium.com/@jurgens_245...”

5 experts discussed this · 8 posts
David Jurgens: Peer review was one of the most-discussed topics at #ACL2026 . Many folks were concerned about the incredible growth in the number of ARR submissions (17K for the May26 ARR cycle 😱), and even more …
David Jurgens: With my ACL PC abilities, I wanted to characterize who these folks are, whether they're actually "outsiders", whether their papers are much less likely to be accepted, is this growth just LLM slop?…
Maria Antoniak: Thank you! I don’t think I trust the self-reported expertise in OpenReview; I think I’d be more interested in previous publication record. I also don’t trust our own quality filter (review scores a…
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Established AI field signal Signal 3d ago

sciencedirect.com

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“As AI proliferates and AGI emerges, we need scientific measures of human–AGI interaction. Now we have one for a key factor that circumscribes human–human interaction: moral bias. Open access paper in Computers in Human Behavior, led by Dr. Ali Ladak: www.sc…”

What experts are discussing without an anchoring article

2 experts · 4 posts · 19d ago
Ted Underwood: Good argument. The steelman on the other side might not be "no one needs more than Opus 4.8," but something like "we're nearing a point where people will no longer *agree* on what counts as better.…
Ted Underwood: Agreed. The image models reached a point where it became a question of taste quite rapidly. Language models are taking longer, but differences of opinion about 4.8 are a great example.
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