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.

2,397 searchable experts 4,280 tracked across all sources
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Showing developments with attributable Opportunity & adoption reactions.

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

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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.

New Models & releases Research 4h ago
⚡ 3 h early
global workspace theory language models paper

Verbalizable Representations Form a Global Workspace in Language Models

6 experts across 4 network communities independently surfaced this.

Why this matches Opportunity & adoption reaction 4 attributable expert contributions · Mark Riedl, Matthew Kirschenbaum, Nafnlaus 🇮🇸 🇺🇦
“here is the Anthropic blog: transformer-circuits.pub/2026/workspa... I don't really like the framing of whether LLMs are conscious or not. It's completely unnecessary. As is the hand-waiving about whether LLMs have something equivalent to the (functional) g…” evidence ↗
6 experts 4 communities 1 sources clustered
How the network is reacting 4 experts are independently emphasizing opportunity & adoption.
Reaction converging

Opportunity & adoption

4 experts

New capabilities, benefits and practical upside.

“here is the Anthropic blog: transformer-circuits.pub/2026/workspa... I don't really like the framing of whether LLMs are conscious or not. It's completely unnecessary. As is the hand-waiving about whether LLMs have something equivalent to the (functional) g…”

Building & implementation

1 expert

How teams are shipping and applying it.

“Anthropic uses the word “conscious” 206 times in their latest research Specifically, they’re showing that LLMs implement one of the leading explanations of consciousness in humans (see pic) transformer-circuits.pub/2026/workspa...”

7 experts discussed this · 203 posts
Anil Dash: this is not an accurate description of what's happening. not least because I can write code and get them to output something different there. I can understand why it *seems* that way, but this is j…
Anil Dash: Who are you explaining this to?
Anil Dash: Do you see why explaining "All output from AI has to be validated" in a reply to me here is... not a useful contribution?
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Established Models & releases Release 11d ago
TypeSafe AI System One Jev launch

Introducing System One Models and Jev - TypeSafe AI Blog

7 experts across 4 network communities independently surfaced this.

Why this matches Opportunity & adoption reaction 1 attributable expert contribution · Sung Kim
“OMG! I just invented a classifier that is 200x faster and 400x cheaper than LLM. Heck, I don't even need a GPU. Jev typesafe.ai/blog/introdu...” evidence ↗
7 experts 4 communities 1 sources clustered
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“Jev: Fable-level model that doesn’t charge for output tokens because they’re too cheap to meter it’s not general though, it only makes decisions, doesn’t generate text, but input tokens are measured by the billion ($42/btok) typesafe.ai/blog/introdu...”

Opportunity & adoption

1 expert

New capabilities, benefits and practical upside.

“OMG! I just invented a classifier that is 200x faster and 400x cheaper than LLM. Heck, I don't even need a GPU. Jev typesafe.ai/blog/introdu...”

3 experts discussed this · 21 posts
Tim Kellogg: Jev: Fable-level model that doesn’t charge for output tokens because they’re too cheap to meter it’s not general though, it only makes decisions, doesn’t generate text, but input tokens are measure…
Tim Kellogg: i feel like it’s a mistake to overlook this model, although i’m having trouble figuring out where it fits in my workflow wild new architecture, totally different approach my hunch is the main agent…
Tim Kellogg: oh interesting, some examples they give: 1. smart if-statements 2. map-reducing over huge data to extract features and insights 3. real-time applications (it’s only 100ms) hmm this seems like a swe…
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Established Culture, work & education Development 4d ago
⚡ 7 h early
Anthropic launches molecular research group

Anthropic announces its molecular research group and laboratory

7 experts across 4 network communities independently surfaced this.

Why this matches Opportunity & adoption reaction 1 attributable expert contribution · Stephen Turner
“Probably the wrong platform to post anything remotely positive about AI, but reading through this and Dario’s X post, it’s pretty exciting stuff www.anthropic.com/news/claude-...” evidence ↗
7 experts 4 communities 1 sources clustered
How the network is reacting Experts are approaching this through 3 distinct lenses.
Multiple readings

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“Anthropic has a wet lab in SF where they’re using Claude to accelerate fundamental biology research This is the first big result from that lab — discovery of a CRISPR-like enzyme www.anthropic.com/news/claude-...”

Opportunity & adoption

1 expert

New capabilities, benefits and practical upside.

“Probably the wrong platform to post anything remotely positive about AI, but reading through this and Dario’s X post, it’s pretty exciting stuff www.anthropic.com/news/claude-...”

Questions & unknowns

1 expert

What remains unresolved or contested.

“Anthropic might have discovered something. Or maybe not. Who knows? Not even Anthropic. www.anthropic.com/news/claude-... This is irresponsible science. The proper course of action is to figure out if there is any significance first. They employ scientists.…”

2 experts discussed this · 8 posts
Mark Riedl: Anthropic might have discovered something. Or maybe not. Who knows? Not even Anthropic. www.anthropic.com/news/claude-... This is irresponsible science. The proper course of action is to figure out…
Mark Riedl: Srsly
Mark Riedl: A day before Anthropic’s PR… bsky.app/profile/brak...
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Established AI field signal Signal 20d ago
⚡ 19 h early

cims.nyu.edu

19 experts across 6 network communities independently surfaced this.

Why this matches Opportunity & adoption reaction 1 attributable expert contribution · Kashmir Hill
“Did not wake up realizing that “did OpenAI cheat on the homework” would be the most exciting social media drama of the day cims.nyu.edu/~tristanb/st...” evidence ↗
19 experts 6 communities 1 sources clustered
2 experts discussed this · 2 posts
Kashmir Hill: Did not wake up realizing that “did OpenAI cheat on the homework” would be the most exciting social media drama of the day cims.nyu.edu/~tristanb/st...
Alondra Nelson: Did not wake up realizing that “did OpenAI cheat on the homework” would be the most exciting social media drama of the day cims.nyu.edu/~tristanb/st...
Alondra Nelson: Indeed!
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What experts are discussing without an anchoring article

8 experts · 57 posts · 1d ago
Matches Opportunity & adoption
“GDP gains do not necessarily mean the middle 50% or bottom 25% benefit, they just mean the top 25% are much more productive and earning more. how does the largesse get distributed?” evidence ↗
Multiple readings Policy & governance · 2 Opportunity & adoption · 1
apenwarr.ca: So far no labour saving device in the history of humanity has resulted in a long-term reduction in employment.
Liz Fong-Jones (方禮真): So far no labour saving device in the history of humanity has resulted in a long-term reduction in employment.
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5 experts · 53 posts · 12d ago
Matches Opportunity & adoption
“"We believe in safety, so we rushed to make sure our model was a hacker faster than everyone else because we absolutely must be the first to betray the social contract or the world will be less saf…” evidence ↗
Multiple readings Policy & governance · 1 Building & implementation · 1 Opportunity & adoption · 1
SE Gyges: i cannot explain the behavior of the movement's members regarding crucial issues more nicely than that yud convinced them all to be neurotically fearful of the paperclipper, and that only this was …
SE Gyges: I think that the parsimonious explanation for e.g. Anthropic and Dario doing legitimately bizarre shit regarding "safety" which makes little or no sense is best explained by them being utterly Yud-…
Open the thread →
5 experts · 41 posts · 17d ago
Matches Opportunity & adoption
“But instead of focusing on the overlap, everybody -- stochastic parrot folks, AI optimists, actual doomers -- seems to constantly homing in on "how silly or not silly is a superintelligent machine …” evidence ↗
Reaction converging Concern & critique · 3 Opportunity & adoption · 1 Questions & unknowns · 1
Tim Kellogg: perspective. i’m not sure if i agree or disagree. but he’s thought about it, so..
jake: yeah, and @david-p-reichert.bsky.social thinks about it more than I do, professionally, so probably listen to him more than I (I do still wish The Professionals published lists of various guestimat…
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3 experts · 17 posts · 1d ago
Matches Opportunity & adoption
“eh, that had some very big other things going on. like, lack of ZDR effectively barred it from enterprise adoption” evidence ↗
Multiple readings Opportunity & adoption · 2 Questions & unknowns · 1
Isaiah Bishop: Not to rag on tim, but i think often the analysis of demand here is quite sloppy/loose among finance and tech guys. Tokens are tokens and there's some price. What we know from router services is th…
Tim Kellogg: eh, that had some very big other things going on. like, lack of ZDR effectively barred it from enterprise adoption
Open the thread →
5 experts · 6 posts · 2d ago
Matches Opportunity & adoption
“Talk to Transformer was pre-GPT-3, OpenAI had been positioning GPT-3 as a chatbot in the intermediate time.” evidence ↗
Max Woolf: There's a 99% chance that OpenAI would have chosen a better name than ChatGPT had they intentionally launched a product.
Max Woolf: Talk to Transformer was pre-GPT-3, OpenAI had been positioning GPT-3 as a chatbot in the intermediate time.
Open the thread →
4 experts · 11 posts · 20d ago
Matches Opportunity & adoption
“i mean, it is legit impressive. she deserves a medal or something” evidence ↗
Shared emphasis Concern & critique · 2
Tim Kellogg: AI researcher: “this stuff is dangerous, maybe we should slow down” linguist who frequently complains of people disrespecting her credentials: “if you knew a single thing about AI you’d know this i…
Tim Kellogg: those credentials?
Open the thread →
4 experts · 8 posts · 7d ago
Matches Opportunity & adoption
“and, mr doob said live the other week at three.js conf that he doesn't even enjoy coding he's happy with astra because now he can make stuff and not have to sit there doing it manually” evidence ↗
Multiple readings Building & implementation · 1 Opportunity & adoption · 1
Tim Kellogg: Three.js project founder calls it quits, citing AI making work less interesting
Tim Kellogg: ngl i have hard time wrapping my head around how Astra made him want to quit Astra democratized Three.js, it became an incredibly high impact project suddenly accessible to everyone but to each the…
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3 experts · 5 posts · 8d ago
Matches Opportunity & adoption
“GPT For a modern 70B-parameter transformer, generating one token is on the order of 100–150 billion arithmetic operations. Even at the fantastically optimistic rate of one hand calculation per seco…” evidence ↗
Singularity's Bounty e/cc: I don't know if it counts but you'd die of old age before maybe a single token
Singularity's Bounty e/cc: GPT For a modern 70B-parameter transformer, generating one token is on the order of 100–150 billion arithmetic operations. Even at the fantastically optimistic rate of one hand calculation per seco…
Open the thread →
2 experts · 10 posts · 9d ago
Matches Opportunity & adoption
“yeah, they can't do the CoT kind of test time compute (TTC). Although, it seems Astra is testing out a new kind of TTC with looped transformers, so actually, maybe not. Maybe it can be just as powe…” evidence ↗
Multiple readings Opportunity & adoption · 1 Questions & unknowns · 1
Tim Kellogg: yes, Jev got very hyped. Yes, overhyped Jev has no easy moat, all labs will have an equivalent in a few months. Their only moat is brand recognition honestly can’t blame them
Tim Kellogg: imagine Claude but without having to actually read Claude!
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2 experts · 10 posts · 11d ago
Matches Opportunity & adoption
“this morning my mom sent me a quote from an MSM article she read that was about this 1 day from release to MSM that's very fast. Clearly the public is clued into the dangers of AI. Clearly the "AI …” evidence ↗
Multiple readings Opportunity & adoption · 1 Questions & unknowns · 1
Tim Kellogg: this morning my mom sent me a quote from an MSM article she read that was about this 1 day from release to MSM that's very fast. Clearly the public is clued into the dangers of AI. Clearly the "AI …
Tim Kellogg: i think the right move at this point is to simply ignore the "AI is fake" messaging clearly nobody of any importance is listening to them. They just cause noise online. No point in even responding
Open the thread →
2 experts · 7 posts · 13d ago
Matches Opportunity & adoption
“RLHF is really important, don't get me wrong, but the IMHO far more impressive thing is the underlying foundation, and there's a huge chain of people behind that. He totally deserves credit and kud…” evidence ↗
Multiple readings Opportunity & adoption · 1 Questions & unknowns · 1
Tim Kellogg: Jev is on bluesky!
Tim Kellogg: glad to see AI alignment is going well
Open the thread →