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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The developments commanding sustained expert attention

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

Established Culture, work & education Analysis 13d 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 Concern & critique reaction 1 attributable expert contribution · B! 🐝 Cavello (they/them)
“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…” 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...
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New AI field signal Analysis 10h ago
Pacing the Frontier newsletter essay

Pacing the Frontier

8 experts across 4 network communities independently surfaced this.

Why this matches Concern & critique reaction 1 attributable expert contribution · Yoshua Bengio
“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…” 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

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…”