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The Who's Who of AI

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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 ×
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.

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.

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 ↗
Established Models & releases Research 7d ago
LLM role-play research paper

Role-Play with Large Language Models

4 experts are actively discussing the implications.

1 expert 1 community 1 sources clustered
Matthew Kirschenbaum
4 experts discussed this · 67 posts
Colin: Just to be very explicit, my claim is that the one simplest and best explanation for this, which resolves any apparent strangeness entirely, is that whoever is “speaking” in LLM output is a fiction…
Dan Greene : Just to be very explicit, my claim is that the one simplest and best explanation for this, which resolves any apparent strangeness entirely, is that whoever is “speaking” in LLM output is a fiction…
Colin: All the 6 LLMs involved here only have one goal. It’s not to figure out who’s who in the Frankenmodel. It’s not even to be a helpful assistant. It’s to write the part of an apparently helpful assis…
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Primary source arxiv.org ↗
Established AI field signal Analysis 6d ago
⚡ 316 h early
Textpocalypse AI writing political economy

Textpocalypse Now: The Political Economy of Writing in the Age of AI

2 experts are actively discussing the implications.

2 experts 2 communities 1 sources clustered
Matthew Kirschenbaum Dave Parisi

“A point I will make next week is that I believe the salient fact of the Hugging Face incident is not any of the discourse about consciousness or agency, but that the internet and all adjacent infrastructure offer a common manipulable/executable substrate. v…”

2 experts discussed this · 3 posts
Matthew Kirschenbaum: A point I will make next week is that I believe the salient fact of the Hugging Face incident is not any of the discourse about consciousness or agency, but that the internet and all adjacent infra…
Dave Parisi: A point I will make next week is that I believe the salient fact of the Hugging Face incident is not any of the discourse about consciousness or agency, but that the internet and all adjacent infra…
Justin Joque: this looks great!
Open the full discussion →
Primary source visit.bodleian.ox.ac.uk ↗
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What experts are discussing without an anchoring article

2 experts · 26 posts · 11d ago
Matthew Kirschenbaum Colin
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…
Open the thread →
2 experts · 12 posts · 11d ago
suhr Matthew Kirschenbaum
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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2 experts · 11 posts · 13d ago
Olivia Guest Matthew Kirschenbaum
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.
Open the thread →
2 experts · 6 posts · 7d ago
Matthew Kirschenbaum Justin Joque
Matthew Kirschenbaum: Delightful session at @scholarslab.bsky.social yesterday with my Langauge Models Small and Large students. We probed the history and processes of text generation with magnetic poetry, Oulipean game…
Matthew Kirschenbaum: Worth mentioning too that our class is working with @scholarslab.bsky.social under the auspices of the @uvalibrary.bsky.social’s new AI Literacy and Action Lab; a good example of how “AI literacy” …
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