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
Build my stream Create my edition
Filter the conversation Who is saying what?

Combine a professional role with a reaction lens. Both must match the same attributed contribution.

Clear all
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.

Markets & investment
1 live reaction map in this view Jump to the evidence ↓
Shared emphasis The Socialist Case Against Nationalizing AI Markets & investment · 2 attributable reactions
Showing signals surfaced by Mél Hogan / The Data Fix ×
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 Policy & governance Analysis 7d ago
⚡ 16 h early
socialist case against AI nationalization

The Socialist Case Against Nationalizing AI

9 experts across 4 network communities independently surfaced this.

9 experts 4 communities 1 sources clustered
Alex Hanna Juan Diego Rodriguez Hypervisible Paris Marx Ali Alkhatib 🌶 David Gray Widder Mél Hogan / The Data Fix Hagen Blix +1
How the network is reacting 2 experts are emphasizing markets & investment.
Shared emphasis

Markets & investment

2 experts

Capital, companies and commercial impact.

“"When we hear AI, we shouldn’t fall for the AI peddlers’ narratives of productivity explosions and mass unemployment. We should think of Taylorism, of the myriad ways in which capital centralizes knowledge, measures people, and carves up work in order to ma…”

4 experts discussed this · 9 posts
Eugene Vinitsky: I think it's reasonable to ask of a research program that purports to automate away all jobs that it provide a positive vision of the future more confident than "hey, maybe we'll "cure" cancer alon…
Eugene Vinitsky: I've been talking about this a lot lately and it just feels like the moral cases in the field are significantly less developed than they should be and it's eating at me a bit
Juan Diego Rodriguez: This eats at me all the time. I don’t know what to do about it
Open the full discussion →
Primary source jacobin.com ↗
Established Safety & security Analysis 9d ago
⚡ 385 h early
cybernetic forests X Y reframing essay

It's Not Just X. It's Y.

5 experts across 2 network communities independently surfaced this.

5 experts 2 communities 1 sources clustered
Eryk Salvaggio Luke Stark Mél Hogan / The Data Fix Pavel Stefanie Hane

“If you look at all of Biden’s bullets you see this LLM pattern show up in some form or another — LLM templates aren’t a Mad Libs-style template, but they tend to repeat the same form of sentence. I wrote more here, if it’s of interest: mail.cyberneticforest…”

“Not using AI? You must pay an AI company $$$ to certify you, and then accept their AI-generated recommendations for how to not sound like AI.”

3 experts discussed this · 14 posts
Eryk Salvaggio: Not picking on OP or endorsing the trend, but the number of people sharing and being genuinely moved by Hunter Biden’s Claude output is a good window into how audiences see and respond to LLM-gener…
Eryk Salvaggio: A microcosm in the quote-posts, too. And look, I’m not using Pangram (I don’t have to) or calling for anyone to shun anybody. Just noticing something.
Eryk Salvaggio: Can’t say it’s Claude specifically but it has lots of telltale signs. It’s bullets, for one. Two: the terse “The noun verbed” opener. 3, the negative parallelism (“not x, not y. Z.”) repeated twice…
Open the full discussion →
Primary source mail.cyberneticforests.com ↗
Established AI field signal Analysis 7d ago
⚡ 474 h early
Why we fear AI book essay

Why We Fear AI: On the Interpretation of Nightmares — Common Notions Press

2 experts are actively discussing the implications.

3 experts 1 community 1 sources clustered
Ali Alkhatib Mél Hogan / The Data Fix Hagen Blix

“this piece arguing against nationalizing AI is really good. not surprised! @hagenblix.bsky.social and Ingeborg's book was a hit with the reading group when we read it a few months ago”

“I think adopting the "automation" frame is already falling for a bourgeois trap. What this mostly is about is deskilling, and deskilling is not a form to increase productivity, but to cheapen labor and thus shift the total social income form labor to capita…”

2 experts discussed this · 6 posts
Hagen Blix: See, so much AI stuff is just the subconscious of capital: "What if people didn't have to know things?" "What if we could just automate the realization of value, without input from pesky humans/con…
Hagen Blix: Read all about it here I guess 🤷
Long Lasting Mascot: “What if we have a system that turns everything into paperclips without thinking about why”
Open the full discussion →
Primary source commonnotions.org ↗
More conversations

What experts are discussing without an anchoring article

2 experts · 4 posts · 11h ago
Paris Marx Mél Hogan / The Data Fix
Paris Marx: taylor lorenz has added telling her readers it’s ok to use ai alongside her defense of substack and fearmongering about efforts to combat screen and social media addiction. but yeah she’s totally a…
Paris Marx: would like to know the journalist groups she’s in where they’re “constantly” using AI
Open the thread →
3 experts · 3 posts · 18d ago
Eryk Salvaggio Mél Hogan / The Data Fix Dr J. Rosenbaum
Eryk Salvaggio: Two studies I’d be curious about, if anyone has leads: 1) what are the hallucination rates in the latest gen of “agentic” LLMs? 2) how often are they reproducing text (not just biases / form, but c…
Mél Hogan / The Data Fix: Two studies I’d be curious about, if anyone has leads: 1) what are the hallucination rates in the latest gen of “agentic” LLMs? 2) how often are they reproducing text (not just biases / form, but c…
Open the thread →