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.

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

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Showing signals surfaced by Fran Litterio ×

The developments commanding sustained expert attention

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

Developing Models & releases Analysis 2d ago
⚡ 1 h early
Anthropic open-weights position statement

Our position on open-weights models

10 experts across 4 network communities independently surfaced this.

Why this matches Building & implementation reaction 1 attributable expert contribution · Ted Underwood
“I respect the candor here. But I don't agree with the geopolitics, at all. The line between democracies and autocracies is not as crisp as this pretends. How much do we trust, e.g., an AI company in a competitive-authoritarian state that launches sneak deca…” evidence ↗
10 experts 4 communities 1 sources clustered
How the network is reacting Experts are approaching this through 3 distinct lenses.
Multiple readings

Policy & governance

1 expert

Rules, institutions and accountability.

“Dario Amodei clarifies that Anthropic doesn’t want to ban open weight model. It instead wants 1. A ban on selling powerful chips or chipmaking equipment to China. 2. A crack down on industrial-scale distillation operations. 3. Mandatory safety testing of fr…”

Building & implementation

1 expert

How teams are shipping and applying it.

“I respect the candor here. But I don't agree with the geopolitics, at all. The line between democracies and autocracies is not as crisp as this pretends. How much do we trust, e.g., an AI company in a competitive-authoritarian state that launches sneak deca…”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“Dario explains Anthropic’s position on open weights models It’s a lot of words to say that they’re still against powerful open weights models www.anthropic.com/news/positio...”

5 experts discussed this · 13 posts
Ted Underwood: I respect the candor here. But I don't agree with the geopolitics, at all. The line between democracies and autocracies is not as crisp as this pretends. How much do we trust, e.g., an AI company i…
Ted Underwood: (just, say, hypothetically?) There's also internal incoherence in making the first part of this all about moralized great-power competition and then saying that safety testing (incl for alignment r…
SE Gyges: he kisses jd vance's ass and fails to specify anything concerning his proposed evaluation regime that distinguishes it from a ban solid dario post 10/10
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Established Culture, work & education Analysis 12d ago
⚡ 9 h early
NYT essay AI won't steal jobs

Opinion | Why A.I. Won’t Steal All Our Jobs - The New York Times

12 experts across 4 network communities independently surfaced this.

Why this matches Building & implementation reaction 1 attributable expert contribution · Jeffrey P. Bigham
“usually a fan of Zeynep's accounts, but AI will get better and better at customer service until it's at least as good as humans, … a big part of that will be systems engineering, including architectures that enable one AI interaction to share with the next …” evidence ↗
12 experts 4 communities 1 sources clustered
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Concern & critique

1 expert

Risks, limits and unintended consequences.

“Maybe you mean this from 2023? www.nytimes.com/2026/06/30/o... "[LLMs] are not reasoning machines. [...] It’s not just that they don’t test their outputs to make sure they’re correct or logical, or that they fail to do so in certain instances. They can’t, a…”

Building & implementation

1 expert

How teams are shipping and applying it.

“usually a fan of Zeynep's accounts, but AI will get better and better at customer service until it's at least as good as humans, … a big part of that will be systems engineering, including architectures that enable one AI interaction to share with the next …”

10 experts discussed this · 51 posts
Eugene Vinitsky: Out of curiosity I had Fable write a response to the article about the weaknesses of LLMs: www.nytimes.com/2026/06/30/o... It's uh, pretty good. claude.ai/code/artifac...
Eugene Vinitsky: The only prompting was to tell the model that it was possible to check that links were correct
Ted Underwood: Out of curiosity I had Fable write a response to the article about the weaknesses of LLMs: www.nytimes.com/2026/06/30/o... It's uh, pretty good. claude.ai/code/artifac...
Open the full discussion →
Developing AI field signal Analysis 1d 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
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…”

What experts are discussing without an anchoring article

4 experts · 18 posts · 17d ago
Matches Building & implementation
“Sure, I'm only saying that the field of NLP that LLMs grew out of was, back in the day, made up of a) cogsci/linguistics people, and b) engineering folks (including, but not limited to ML folks), a…” evidence ↗
Multiple readings Questions & unknowns · 1 Context & explanation · 1
Ted Underwood: when people say "the problem is that these things don't 'think' at all in the way we know actual human beings think" I often want to respond, "yes, and that's a 'problem' because?"
Ted Underwood: Sometimes LLM solutions are brittle. But in that case the problem is — that they're brittle. You have to motivate the reference point.
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2 experts · 5 posts · 15d ago
Matches Building & implementation
“I still find chat valuable for ideation and design planning. Plus, Claude's chats each have a cloud VM where it can write documents, push to GitHub, build code, etc.” evidence ↗
Multiple readings Building & implementation · 1 Research & technical analysis · 1
Ted Underwood: It seems like agentic development benchmarks are strongly driving competition right now. And I hear anecdotal reports of regression on other, less RLVR-able tasks. How long before the idea of a sin…
Ted Underwood: Hmm, I think you're inferring that resource limitation is the reason to not have a single frontier? That's interesting, but not what I had in mind. I'm just assuming that optimizing a model for dev…
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