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The Who's Who of AI

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Showing developments with attributable Opportunity & adoption reactions.

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Building & implementation Opportunity & adoption
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Reaction converging Verbalizable Representations Form a Global Workspace in Language Models Opportunity & adoption · 5 attributable reactions
Showing signals surfaced by Matthew Kirschenbaum ×
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The developments commanding sustained expert attention

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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 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
Mark Riedl Tim Kellogg Matthew Kirschenbaum Edouard Machery Nafnlaus 🇮🇸 🇺🇦 david-p-reichert.bsky.social
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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Primary source transformer-circuits.pub ↗
Debates gaining attention

What experts are discussing without an anchoring article

3 experts · 3 posts · 3d ago
Luke Stark Miriam Posner Matthew Kirschenbaum
Matches Opportunity & adoption
“Was very happy to be asked to endorse this landmark book. Among much else, it’s a contribution to the (pre)history of AI, per #6 below.” evidence ↗
Matthew Kirschenbaum: Was very happy to be asked to endorse this landmark book. Among much else, it’s a contribution to the (pre)history of AI, per #6 below.
Luke Stark: Was very happy to be asked to endorse this landmark book. Among much else, it’s a contribution to the (pre)history of AI, per #6 below.
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2 experts · 11 posts · 13d ago
Olivia Guest Matthew Kirschenbaum
Matches Opportunity & adoption
“There's value in zooming out. What's the benefit of deflating the meaning of pain so that now plants feel pain? "Pain" as found in animals for example undergirds movements like veganism. If plants …” evidence ↗
Multiple readings Opportunity & adoption · 1 Questions & unknowns · 1
Matthew Kirschenbaum: My understanding of the LLM pain discourse is that no one is claiming that if the model says, “Ouch, my toe hurts,” it is feeling “pain.” Rather, there are patterns of activity which, —by some inte…
Matthew Kirschenbaum: But perhaps someone like @davidcrespo.bsky.social can correct me if I’m wrong.
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