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 signals surfaced by Matthew Kirschenbaum ×

The developments commanding sustained expert attention

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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What experts are discussing without an anchoring article

2 experts · 26 posts · 11d ago
Matches Building & implementation
“You could for example build a harness that only executes the code when a person approves it.” evidence ↗
Multiple readings Building & implementation · 1 Questions & unknowns · 1
Colin: If your LLM hacks into the UN, it’s because you decided to run the code it produced without checking whether that code is for hacking into the UN. You didn’t have to do that! This is quite orthogon…
Colin: Just to be really clear on this, grant that LLMs think and reason and feel and decide to Go Rogue. Fine. All they can do though is WRITE code. This is completely inert. It only does anything if you…
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2 experts · 12 posts · 11d ago
Matches Building & implementation
“All they can do is predict the next word, we insist, as they predict the next word to complete the virus to break the firewall to access the systems to to send the command to initiate the launch co…” evidence ↗
Multiple readings Building & implementation · 1 Questions & unknowns · 1
Matthew Kirschenbaum: *Yes I know that’s not how any of it really works, but the point I am making is that in a computational world, where real world consequences are actionable and executable in computational terms, “p…
Matthew Kirschenbaum: All they can do is predict the next word, we insist, as they predict the next word to complete the virus to break the firewall to access the systems to to send the command to initiate the launch co…
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