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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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Showing developments with attributable Research & technical analysis reactions.

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Showing signals surfaced by Christian Wolf ×

The developments commanding sustained expert attention

One card per development. Sources are clustered; reaction bundles describe these posts, never the people behind them.

New AI field signal Analysis 9h ago
research self-confessed fabrications rise

Self-confessed Fabrications and Rise of TBDs

4 experts across 3 network communities independently surfaced this.

Why this matches Research & technical analysis reaction 2 attributable expert contributions · Gautam Kamath, Christian Wolf
“How do you tell if authors fabricated their research results? Sometimes: they just tell you. Read, e.g., this caption carefully. Another banger of a post by my friend Nihar B. Shah on his blog, where he found at least 20+ such #ICLR2027 submissions: researc…” evidence ↗
4 experts 3 communities 1 sources clustered
How the network is reacting 2 experts are emphasizing research & technical analysis.
Shared emphasis

Research & technical analysis

2 experts

Evidence, methods and technical implications.

“How do you tell if authors fabricated their research results? Sometimes: they just tell you. Read, e.g., this caption carefully. Another banger of a post by my friend Nihar B. Shah on his blog, where he found at least 20+ such #ICLR2027 submissions: researc…”

3 experts discussed this · 3 posts
Gautam Kamath: How do you tell if authors fabricated their research results? Sometimes: they just tell you. Read, e.g., this caption carefully. Another banger of a post by my friend Nihar B. Shah on his blog, whe…
Naomi Saphra: How do you tell if authors fabricated their research results? Sometimes: they just tell you. Read, e.g., this caption carefully. Another banger of a post by my friend Nihar B. Shah on his blog, whe…
samuel mehr: oopsies
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Established AI field signal Signal 4d ago
⚡ 9 h early

Dino Forcing Flow Models: Do not denoise what you can predict

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · David Picard
“🚨 New preprint: "Dino Forcing Flow Models: Do not denoise what you can predict" @arrijitghosh.bsky.social @lucasdegeorge.bsky.social P. Couairon, A.A. Efros, @vickykalogeiton.bsky.social and me 📜 arxiv.org/abs/2610.11751 🖥️ arijit-hub.github.io/projects/din…” evidence ↗
2 experts 2 communities 1 sources clustered

“🚨 New preprint: "Dino Forcing Flow Models: Do not denoise what you can predict" @arrijitghosh.bsky.social @lucasdegeorge.bsky.social P. Couairon, A.A. Efros, @vickykalogeiton.bsky.social and me 📜 arxiv.org/abs/2610.11751 🖥️ arijit-hub.github.io/projects/din…”

Established Models & releases Research 17d ago
⚡ 11 h early
recurrent looped transformer architecture paper

Recurrent Looped Transformer

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Christian Wolf
“Recurrent Looped Transformer Zhang et al. Combine context/history transformer with recurrence: have a causal encoder with a recurrent decoder. arxiv.org/abs/2610.07591” evidence ↗
2 experts 2 communities 1 sources clustered

“Recurrent Looped Transformer Zhang et al. Combine context/history transformer with recurrence: have a causal encoder with a recurrent decoder. arxiv.org/abs/2610.07591”

Established Models & releases Signal 18d ago
⚡ 2527 h early

Compressing Observation History into Agent Memory: Distilling Transformers into Recurrent Transformers

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Christian Wolf
“Having fun with Blender ... Distilling context transformers into recurrent transformers: arxiv.org/abs/2606.21562 @weinzaepfelp.bsky.social @mbsariyildiz.bsky.social” evidence ↗
2 experts 1 community 1 sources clustered

“Having fun with Blender ... Distilling context transformers into recurrent transformers: arxiv.org/abs/2606.21562 @weinzaepfelp.bsky.social @mbsariyildiz.bsky.social”

What experts are discussing without an anchoring article

10 experts · 12 posts · 1d ago
Matches Research & technical analysis
“Helping authors improve their papers is not the purpose of peer review.” evidence ↗
Reaction converging Research & technical analysis · 5 Building & implementation · 1
Ben Recht: Helping authors improve their papers is not the purpose of peer review.
Dan Goodman: Keeping academics in their place (as revenue sources for journals).
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3 experts · 5 posts · 18d ago
Matches Research & technical analysis
“6 papers to review for ICLR. Fair game. It's a lot, but I understand I have to contribute, sure. But 16 days to do it is just bad. I won't be able to deliver the best review I can do in such a shor…” evidence ↗
Reaction converging Research & technical analysis · 3
David Picard: 6 papers to review for ICLR. Fair game. It's a lot, but I understand I have to contribute, sure. But 16 days to do it is just bad. I won't be able to deliver the best review I can do in such a shor…
Christian Wolf: I have only 3 but now I receive invites from ACs to receive additional papers.... ?!?
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2 experts · 4 posts · 1d ago
Matches Research & technical analysis
“LLM Impact on peer review: - TMLR increases the importance of clarity - ICML introduces desk rejections by ACs - RSS introduces 2 phases & "signed reviewers" - Some journals temp. suspend submissio…” evidence ↗
Christian Wolf: LLM Impact on peer review: - TMLR increases the importance of clarity - ICML introduces desk rejections by ACs - RSS introduces 2 phases & "signed reviewers" - Some journals temp. suspend submissio…
Christian Wolf: Some of the symptoms: - 9k papers accepted to NeurIPS 2026 - 60k submissions to ICLR 2027
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