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 Building & implementation reactions.

New Network reaction maps

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

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Showing signals surfaced by Nafnlaus 🇮🇸 🇺🇦 ×

The questions experts are actively pulling apart

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

Developing Models & releases Research 2d 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 Building & implementation reaction 1 attributable expert contribution · Tim Kellogg
“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...” 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 AI research Resource 12d ago
⚡ 1465 h early
Distill.pub circuits neural network introduction

Zoom In: An Introduction to Circuits

3 experts across 3 network communities independently surfaced this.

Why this matches Building & implementation reaction 1 attributable expert contribution · Nafnlaus 🇮🇸 🇺🇦
“NNs in general build up, from the base level, like this: distill.pub/2020/circuit...” evidence ↗
3 experts 3 communities 1 sources clustered
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Building & implementation

1 expert

How teams are shipping and applying it.

“NNs in general build up, from the base level, like this: distill.pub/2020/circuit...”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“if you want to understand more about how weird the "using statistics to predict the next word" works out to in practice, you try the mechanistic interpretability work from anthropic: distill.pub/2020/circuit... neelnanda.io/mechanistic-... transformer-circu…”

4 experts discussed this · 37 posts
mackuba.eu: Many are contrasting the bsky response to harassment of trans users to the harassment of AI developers and users. FWIW, as a transgender developer and user of AI systems, anecdotally, I've received…
Olivia Guest: 💯
jake: lyInG tHeFT mAchIne thAt's rUInInG peOple'S wAtER
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What experts are discussing without an anchoring article

7 experts · 83 posts · 8d ago
Matches Building & implementation
“You’re using Bluesky and it uses AI for development and monitoring” evidence ↗
Multiple readings Research & technical analysis · 2 Building & implementation · 1 Questions & unknowns · 1
Nafnlaus 🇮🇸 🇺🇦: LLMs are not databases. They do not contain their training data.
Nafnlaus 🇮🇸 🇺🇦: Base rate fallacy.
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4 experts · 34 posts · 4d ago
Matches Building & implementation
“2) Prototype agentic system to help debug issues that come up on our live system in the centre - can issue tool calls to explore e.g. corefiles, filesystems, read bug reports, dig through the codeb…” evidence ↗
Multiple readings Concern & critique · 1 Opportunity & adoption · 1 Questions & unknowns · 1
Gus: What would you like to see on Gemma 5?
Gus: Thanks Ana! Took note of everything.
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4 experts · 21 posts · 1d ago
Matches Building & implementation
“How do I ship scientific understanding?” evidence ↗
Multiple readings Concern & critique · 1 Research & technical analysis · 1 Opportunity & adoption · 1
Eugene Vinitsky: It takes so long to write a paper because we are crazy about not making mistakes and checking as many edge cases as we can. This stressful responsibility is, I suppose, not obvious. so, if you’re n…
Eugene Vinitsky: Lots of new folks trying to write papers so it’s important to know: if there’s a mistake in the paper, the responsibility falls on you. You cannot offload it to the AI assistant.
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2 experts · 8 posts · 12d ago
Matches Building & implementation
“so, from what i’ve seen of the software development mentality in India, i think it’s fully automated but maybe not quite at the right price i probably don’t have a broad enough view, but a lot of d…” evidence ↗
Tim Kellogg: spoken less than 10 months ago was he right?
Tim Kellogg: i would say this >90% of the traditional job is automated. OTOH hiring is increasing, so it also seems strange to call it “correct” maybe, “in spirit correct, but in practice not what we expected c…
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