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.

2,364 searchable experts 2,966 tracked across all sources
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Showing developments with attributable Building & implementation reactions.

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.

Building & implementation Concern & critique Policy & governance
1 live reaction map in this view Jump to the evidence ↓
Multiple readings Pacing the Frontier Concern & critique · 3 attributable reactions
Showing signals surfaced by SE Gyges ×
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.

New AI field signal Analysis 9h ago
Pacing the Frontier newsletter essay

Pacing the Frontier

7 experts across 4 network communities independently surfaced this.

Why this matches Building & implementation reaction 1 attributable expert contribution · Anna Mills
“You might be mad at people for building a machine. You might doubt their assertions about what it can do. When they admit to having lost control of their machine and ask for help to slow down and establish control, it's not in your interest to dismiss their…” evidence ↗
7 experts 4 communities 1 sources clustered
Yoshua Bengio Sung Kim Anna Mills SE Gyges Stephen Turner Fran Litterio Michiel Bontenbal
How the network is reacting Experts are approaching this through 3 distinct lenses.
Multiple readings

Concern & critique

1 expert

Risks, limits and unintended consequences.

“1000+ scientists at frontier AI companies are speaking out to warn that the current commercial race leads to unacceptable security risks. I agree with their call for an international effort to develop technical and governance guardrails to ensure a safer wa…”

Policy & governance

1 expert

Rules, institutions and accountability.

“"We request that the U.S. government support an international effort to develop the technical and governance tools needed to deliberately pace the frontier of automated AI development." www.pacingthefrontier.com”

Building & implementation

1 expert

How teams are shipping and applying it.

“You might be mad at people for building a machine. You might doubt their assertions about what it can do. When they admit to having lost control of their machine and ask for help to slow down and establish control, it's not in your interest to dismiss their…”

Primary source pacingthefrontier.com ↗
Debates gaining attention

What experts are discussing without an anchoring article

3 experts · 25 posts · 19h ago
Pwnallthethings SE Gyges david-p-reichert.bsky.social
Matches Building & implementation
“sorry, "there is a letter today, of whom by far the most famous person who signed it was dario, that says we should 'pace' as in 'slow down' ai development"” evidence ↗
Multiple readings Concern & critique · 1 Policy & governance · 1 Opportunity & adoption · 1
SE Gyges: here's who signed both the Pacing the Frontier letter released today and the Pause AI letter in 2023 demanding an end to all research for six months also, raw counts for "signed today's letter" and…
SE Gyges: fundamentally this is an anthropic thing that managed to recruit some people from other companies
Open the thread →
4 experts · 26 posts · 5d ago
SE Gyges rev. howard arson tweety fish coty.bsky.social
Matches Building & implementation
“surely the *checks notes* country of china is short on *checks notes* engineers and mathematicians and could not possibly compete at the engineering and applied mathematics field *touches earpiece*…” evidence ↗
SE Gyges: in case anyone doesn't know this the thing about open weights models being made by stealing outputs from big players is almost entirely made up to justify regulations locking openai, anthropic and …
SE Gyges: i cannot explain the timeline better than Rohit here it is literally impossible to have made Kimi K3 off of Fable outputs on this timeline
Open the thread →
4 experts · 21 posts · 3d ago
Tim Kellogg Grace SE Gyges Singularity's Bounty e/cc
Matches Building & implementation
“Another possibility is that fable is much better than humans at developing task-specific ontologies / semantic neologisms” evidence ↗
Multiple readings Building & implementation · 2 Questions & unknowns · 1
Grace: Another possibility is that fable is much better than humans at developing task-specific ontologies / semantic neologisms
Grace: Maybe that’s just broke and bespoke combined? (Besproke?)
Open the thread →