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.

2,397 searchable experts 4,280 tracked across all sources
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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 11h ago
research self-confessed fabrications rise

Self-confessed Fabrications and Rise of TBDs

4 experts across 3 network communities independently surfaced this.

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.

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 Signal 18d ago
⚡ 6 h early

Procedural Core: A Compact Recurrent Initialization for Vision Transformers

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered

“Procedural Core: A Compact Recurrent Initialization for Vision Transformers By @damienteney.bsky.social 's group Idea: train a ViT with parameters tied over layers (="recurrent ViT") on abstract procedurally data. Then initialise models of ANY arch (!) with…”

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.

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

3 experts · 12 posts · 18d ago
Multiple readings Building & implementation · 1 Opportunity & adoption · 1 Questions & unknowns · 1
Shubhendu Trivedi: The past month or so, I came across people here raising a ruckus about some articles being AI written, by people who were clearly in situations of distress and needed to write what they thought, to…
Shubhendu Trivedi: Caught this within the 6-8 minutes of scrolling, then searched for said writings, and it was broader. Some were even making it about water usage and pollution. 🤣
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3 experts · 5 posts · 18d ago
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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