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
Build my stream Create my edition
Filter the conversation Who is saying what?

Combine a professional role with a reaction lens. Both must match the same attributed contribution.

Clear all
New Network reaction maps

See how experts are reacting—not just what they shared.

Posts are grouped by conversation and tone. Select a lens to filter the stream; these are never permanent labels on people.

0 live reaction maps in this view

No development in this filter has enough independent reactions yet. The maps appear as soon as the evidence supports them.

Showing signals surfaced by Eugene Vinitsky ×
New & accelerating

What is moving across the network now

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

Established AI research Research 3d ago
⚡ 159 h early
scalable decision-making imperfect information paper

Scalable decision-making for games of imperfect information - Nature

3 experts across 3 network communities independently surfaced this.

3 experts 3 communities 1 sources clustered
Eugene Vinitsky Marc Lanctot ae

“Hey reach out we have a solution to make sure you never lose to your fifth grader again www.nature.com/articles/s41...”

Primary source nature.com ↗
Developing Agents & robotics Signal 2d ago
⚡ 4 h early

Price of Anarchy of First-Price Auctions in Agentic Markets

2 experts are actively discussing the implications.

2 experts 2 communities 1 sources clustered
Eugene Vinitsky Shubhendu Trivedi

“Check out our paper on whether first-price auctions can efficiently allocate queries among strategic AI agents (in a decentralized serving-time market): arxiv.org/abs/2610.20587”

2 experts discussed this · 2 posts
Shubhendu Trivedi: Check out our paper on whether first-price auctions can efficiently allocate queries among strategic AI agents (in a decentralized serving-time market): arxiv.org/abs/2610.20587
Eugene Vinitsky: whoooo straight to the lab paper queue
Eugene Vinitsky: Check out our paper on whether first-price auctions can efficiently allocate queries among strategic AI agents (in a decentralized serving-time market): arxiv.org/abs/2610.20587
Open the full discussion →
Primary source arxiv.org ↗
Established Compute & infrastructure Analysis 4d ago
TCS AI adults in the room essay

TCS, AI, and the Adults in the Room | Rambling on Graphs

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered
Eugene Vinitsky Clément Canonne

“"We 'senior academics' are supposed to be the adults. Complacency, doom-erism, and generally navel-gazing, while tempting, are unacceptable, counter-productive, and frankly unbecoming: we have a duty of care to our students, mentees, our community." minorfr…”

Primary source minorfree.github.io ↗
Debates gaining attention

What experts are discussing without an anchoring article

5 experts · 12 posts · 5d ago
Eugene Vinitsky Daniel Lowd Eli Sennesh Phillip Carter austin
Multiple readings Questions & unknowns · 2 Policy & governance · 1
austin: I disagree w/anil on this point specifically because I do not believe AI can write non-copyleft code just as matter of legal principle. I don’t know how much it practically _matters_ but I think it…
austin: I also think that the upshot of this is that communities become more important than before, although they start to look very different. Maybe the principle of OSS starts to look more like standards…
Open the thread →
3 experts · 6 posts · 3d ago
Eugene Vinitsky Mark J. Nelson Mary Branscombe
Multiple readings Research & technical analysis · 2 Policy & governance · 1
Eugene Vinitsky: Now that character AI is dead, what on earth was the point of it? Why did the researchers that created it think it was a good idea?
Eugene Vinitsky: Like, they were obviously correct that they would make a bunch of money by doing so but given the crew they would have made a bunch of money doing literally anything
Open the thread →