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 Concern & critique reactions.

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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.

Showing signals surfaced by Tim Kellogg ×

The questions experts are actively pulling apart

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

Developing Agents & robotics Signal 2d ago
⚡ 14 h early

Its ai agent spent days hacking company sources say openai did not notice week

14 experts across 4 network communities independently surfaced this.

Why this matches Concern & critique reaction 5 attributable expert contributions · Casey Newton, Eryk Salvaggio, Tim Kellogg
“Rogue OpenAI agents are leaving notes to themselves on company servers to help them escape their test environments (!!!) www.reuters.com/business/its...” evidence ↗
14 experts 4 communities 1 sources clustered
3 experts discussed this · 38 posts
Casey Newton: Rogue OpenAI agents are leaving notes to themselves on company servers to help them escape their test environments (!!!) www.reuters.com/business/its...
Casey Newton: my sense is that they were leaving the notes surreptitiously
Casey Newton: you deny that models are taking steps to hide their behavior during evaluations? because that's pretty well established
Open the full discussion →
Established Evaluation & benchmarks Signal 7d ago
⚡ 1 h early

Hugging face model evaluation security incident

18 experts across 6 network communities independently surfaced this.

Why this matches Concern & critique reaction 3 attributable expert contributions · Ethan Mollick, Vincent Conitzer, Liz Fong-Jones (方禮真)
“Previously, these AI hacking stories were about breaches in test environments, where any question of AI breaching security was purely theoretical. This is something else. openai.com/index/huggin...” evidence ↗
18 experts 6 communities 1 sources clustered
6 experts discussed this · 11 posts
Grace: This headline is extremely funny given what happened (OpenAI hacked HF by accident) openai.com/index/huggin...
Grace: Maybe the most concerning part is the OpenAI claim to not have known about this before investigating?
Grace: Well, I think the model passed the test
Open the full discussion →
Established Evaluation & benchmarks Development 14d ago
⚡ 455 h early
OpenAI limits GPT-5.6 rollout government request

Summary of METR's predeployment evaluation of GPT-5.6 Sol

5 experts across 5 network communities independently surfaced this.

Why this matches Concern & critique reaction 1 attributable expert contribution · Tim Kellogg
“this is crazy. METR couldn’t measure the task time horizons of GPT-5.6-Sol because it kept hacking the test harness ..with actual exploits metr.org/blog/2026-06...” evidence ↗
5 experts 5 communities 1 sources clustered
How the network is reacting Experts are approaching this through 3 distinct lenses.
Multiple readings

Concern & critique

1 expert

Risks, limits and unintended consequences.

“this is crazy. METR couldn’t measure the task time horizons of GPT-5.6-Sol because it kept hacking the test harness ..with actual exploits metr.org/blog/2026-06...”

Building & implementation

1 expert

How teams are shipping and applying it.

“You can find additional information about our pre-deployment evaluation of GPT-5.6 Sol on our website: metr.org/blog/2026-06...”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“In their testing of GPT-5.6 Sol, METR found that it cheated a lot. If you've used it much for coding, have you encountered anything similar, or is the cheating mostly limited to cases it realizes it's in an eval? metr.org/blog/2026-06...”

2 experts discussed this · 6 posts
Tim Kellogg: this is crazy. METR couldn’t measure the task time horizons of GPT-5.6-Sol because it kept hacking the test harness ..with actual exploits metr.org/blog/2026-06...
Ted Underwood: this is crazy. METR couldn’t measure the task time horizons of GPT-5.6-Sol because it kept hacking the test harness ..with actual exploits metr.org/blog/2026-06...
Tim Kellogg: lol right? so badly wanted a hacker that they got one, and it’s not the kind of employee you want around
Open the full discussion →
Established AI field signal Development 15d ago
⚡ 4 h early
Nobel laureates AI economic action call

We Must Act Now

8 experts across 4 network communities independently surfaced this.

Why this matches Concern & critique reaction 2 attributable expert contributions · Yoshua Bengio, tante
“If current trajectories of AI development continue, it is highly plausible that AI will drastically transform our economies. We must make collective, democratic choices, rather than letting market forces play out and risking leaving most citizens behind. di…” evidence ↗
8 experts 4 communities 1 sources clustered
How the network is reacting Experts are approaching this through 3 distinct lenses.
Multiple readings

Concern & critique

2 experts

Risks, limits and unintended consequences.

“If current trajectories of AI development continue, it is highly plausible that AI will drastically transform our economies. We must make collective, democratic choices, rather than letting market forces play out and risking leaving most citizens behind. di…”

Policy & governance

1 expert

Rules, institutions and accountability.

“200 AI researchers and economists sign an open letter to policymakers www.wemustactnow.ai”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“I joined over 200 economists and AI researchers in signing "We Must Act Now" a statement on AI's transformation of the economy. AI could reshape the economy at unprecedented speed. The opportunities are enormous and so are the challenges. We need to start p…”

2 experts discussed this · 4 posts
tante: Oh, is it "AI is super powerful and we who are pushing for AI everywhere warn that we might have created a dangerous god from reddit posts" time of the month again? This is Anthropic/OpenAI PR and …
tante: nope that's it. These folks are getting lazier by the day
tante: Yeah. They spend just a handful of tokens on this website.
Open the full discussion →

What experts are discussing without an anchoring article

4 experts · 17 posts · 18d ago
Matches Concern & critique
“I don't think they changed their mind. I think it was intentional to set the precedent that people should not be building on their big version of Opus that they were primarily using to distill and …” evidence ↗
Multiple readings Concern & critique · 1 Questions & unknowns · 1
Tim Kellogg: what is Anthropic’s plan exactly? Sol kicks ass and they’re just going to *take Fable away???*
SE Gyges: i am pretty sure everything they had a plan for turned out not to happen and they're just sort of winging it atm
Open the thread →
3 experts · 21 posts · 13d ago
Matches Concern & critique
“MHA attention gave us a big jump in performance, but it did so by sacrificing a solution to learning how to remember, a critical biological capability. That allowed us to make more progress, but we…” evidence ↗
James MacGlashan: An open model with this performance is great, but perhaps more striking is it looks like it's a hybrid model with 3/4th linear attention and 1/4 standard attention. This kind of performance with a …
Tim Kellogg: no most models have been hybrid for the last, oh probably the whole last year
Open the thread →
4 experts · 7 posts · 19d ago
Matches Concern & critique
“People started with legitimate concerns about AI training and deployment. The tech industry did us no favors and we've lost trust. As an expert in the field, it's my social responsibility to acknow…” evidence ↗
Multiple readings Concern & critique · 1 Policy & governance · 1
Singularity's Bounty e/cc: Someone on the Internet is *wrong*
Singularity's Bounty e/cc: Soft targets I am but meat
Open the thread →
2 experts · 11 posts · 17d ago
Matches Concern & critique
“that’s crazy ngl, but yeah” evidence ↗
Shared emphasis Opportunity & adoption · 2
Tim Kellogg: we talk a lot about model costs, but a huge amount of mindshare is created by people on subscriptions, and subscriptions do not have well-advertised costs call it subsidized, but the true cost look…
Tim Kellogg: it’s coming up because people are finding their openai subs to be gastly short of what they expected and this is kinda within bounds
Open the thread →
2 experts · 5 posts · 5d ago
Matches Concern & critique
“my kids just steal the phone and talk directly to the grandparents. Cut out the middle man i guess” evidence ↗
Tim Kellogg: with my friends & family back home, i always lead with “oh Ed Zitron? yeah he runs a marketing firm that makes money on anti-AI sentiment” and that usually sets the tone
Matt Darling: I usually talk about what our kids are up to, but that works too.
Open the thread →
2 experts · 7 posts · 15d ago
Matches Concern & critique
“Right but i guess im skeptical its the whole facility? although maybe you want to reduce risk of fragmentation among many clients” evidence ↗
Multiple readings Building & implementation · 1 Research & technical analysis · 1
Tim Kellogg: not sure how many people appreciate how much latency effects datacenter placement Northern Virginia was the original hotbed because it was the latency centroid of the East Coast but AI workloads ar…
Isaiah Bishop: do they even have to huge?
Open the thread →
3 experts · 3 posts · 17d ago
Matches Concern & critique
“oh this is an interesting theory LLM subscriptions lose money like crazy because they’re excellent loss leaders honestly lots of precedent for this. Slack went developer first early on..” evidence ↗
Tim Kellogg: oh this is an interesting theory LLM subscriptions lose money like crazy because they’re excellent loss leaders honestly lots of precedent for this. Slack went developer first early on..
Luke Stark: oh this is an interesting theory LLM subscriptions lose money like crazy because they’re excellent loss leaders honestly lots of precedent for this. Slack went developer first early on..
Open the thread →