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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Concern & critique Building & implementation Context & explanation Questions & unknowns
2 live reaction maps in this view Jump to the evidence ↓
Multiple readings Opinion | Why A.I. Won’t Steal All Our Jobs - The New York Times Concern & critique · 2 attributable reactions Reaction converging Hugging face model evaluation security incident Concern & critique · 5 attributable reactions
Showing signals surfaced by Baldur Bjarnason ×
Debated

The questions experts are actively pulling apart

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

Established Culture, work & education Analysis 10d 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
Eugene Vinitsky Ted Underwood Jeffrey P. Bigham zeynep tufekci Eileen Clancy 🧿 Daniel Solove Neil Turkewitz samuel mehr +4
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 →
Primary source nytimes.com ↗
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
Ethan Mollick Thomas Steinke Mor Naaman Tim Kellogg Djamé 🟥 Ryan Calo Grace Anna Mills +10
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 →
Primary source openai.com ↗
More conversations

What experts are discussing without an anchoring article

3 experts · 6 posts · 2d ago
Timnit Gebru Louise Amoore Baldur Bjarnason
Matches Concern & critique
“Yes, exactly this. I’m concerned that the 2008 banks “too big too fail” were bailed out with public money. As OpenAI and Anthropic embed themselves into government administration and public service…” evidence ↗
Multiple readings Concern & critique · 1 Policy & governance · 1
Timnit Gebru: Its all about "free markets" and "let the market decide" until you have competition that shows how full of shit you are and then you run to daddy US government begging to stop these "bad" Chinese m…
Timnit Gebru: The irony of OpenAI and Anthropic running to the government to save them whenever there’s competition and it’s this government that complains about “handouts” and communism.
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