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 Ted Underwood ×

The developments commanding sustained expert attention

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

New AI field signal Signal 20h ago
⚡ 3269 h early

character.ai

10 experts across 5 network communities independently surfaced this.

10 experts 5 communities 1 sources clustered
2 experts discussed this · 12 posts
thebes: am sick so spent the night with opus 5.5 working on a chart (inspired by the one from lem's golem xiv) how did we got here / model genealogy / the heroic age of language modeling
Grace: am sick so spent the night with opus 5.5 working on a chart (inspired by the one from lem's golem xiv) how did we got here / model genealogy / the heroic age of language modeling
thebes: i think it's too late for the period i was focused on (i carried the branches to the modern day but only if they started in the period in question)
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Established Models & releases Development 16d ago
⚡ 3 h early
OpenAI angers mathematicians again

GitHub - openai/math

11 experts across 5 network communities independently surfaced this.

11 experts 5 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.

“Link: github.com/openai/math P.S.1: This reminds me of the Chinese room argument, though only indirectly. P.S.2: I imagine a few people at OpenAI have looked at the results. Also maybe some other people have looked at some papers since ~1h ago. These are o(…”

Questions & unknowns

1 expert

What remains unresolved or contested.

“OpenAI is working on at least 722 (so far) math manuscripts, all on GitHub in various stages of verificantion github.com/openai/math Why? I guess because they can?”

Context & explanation

1 expert

Background, chronology and why it matters.

“Oh my god, OpenAI just made the single largest advancement in mathematics and number theory in modern history. They released a quasi reimann hypothesis. This is just one of 722 proofs and advancements they released all at once. github.com/openai/math”

3 experts discussed this · 27 posts
Dashiell: I don't think there's a world where mathematicians aren't pissed about this. 1. Dumping everything is what the advisory group said 2. Just yesterday people were mad that Ant paid two experts to dig…
Naomi Saphra: I think (2) is actually good. It is weird, and makes mathematicians into some kind of benchmark evaluation annotator which they don’t like, but it’s just a hard time to be a mathematician. Destroyi…
Naomi Saphra: One big consequence here is you can’t use the duration of an open problem as a sign of difficulty/importance. But at least right now, there’s no way to develop interesting open problems through RLV…
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Established AI research Analysis 6d ago
⚡ 3 h early
neural networks already clean essay

Neural Networks Are Already Clean

11 experts across 6 network communities independently surfaced this.

11 experts 6 communities 1 sources clustered
How the network is reacting 2 experts are emphasizing research & technical analysis.
Shared emphasis

Research & technical analysis

2 experts

Evidence, methods and technical implications.

“Quite a claim in this new work from Goodfire. Among many points, they argue that some of the main examples of superposition and polysemanticity in large models were misunderstood. This definitely deserves some deep, rigorous peer review. already-clean.goodf…”

4 experts discussed this · 14 posts
Ryan Moulton: Haven't read this yet, but I'm posting it because it seems important and I want to. already-clean.goodfire.com
Ryan Moulton: Claim, as they say.
Ryan Moulton: @norvid-studies.bsky.social some sparkling fresh juicy claims for you.
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Established AI field signal Resource 12d ago
⚡ 87 h early
arxiv preprint archive resource

arXiv.org e-Print archive

8 experts across 3 network communities independently surfaced this.

8 experts 3 communities 1 sources clustered
How the network is reacting 5 experts are independently emphasizing research & technical analysis.
Reaction converging

Research & technical analysis

5 experts

Evidence, methods and technical implications.

“arxiv.org, doi.org, biorxiv.org, medrxiv.org, pubmed.ncbi.nlm.nih.gov, nature.com, science.org, pnas.org, semanticscholar.org, openreview.net”

Questions & unknowns

1 expert

What remains unresolved or contested.

“Just me or does @ChatGPT search the most random websites no matter the query? If I ask for the best bagel, it will “Searching ” + {https://t.co/vEQ6I1WmCF, https://t.co/5JR1Db9NqB, …}”

4 experts discussed this · 6 posts
Ted Underwood: I just eliminated 22 tabs by doing this: osascript -e 'tell application "Google Chrome" to get URL of every tab of front window' | tr ',' '\n' | grep arxiv.org list of urls -> LLM -> annotated read…
Ted Underwood: did I come up with that idea by myself? no I did not
Karandeep Singh: Any suggestions for the other 478 tabs?
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Established Models & releases Research 7d ago
⚡ 17 h early
LLM story diversity diagnosis paper

Elias in the Lighthouse, Again? Diagnosing Low Diversity in LLM Stories

5 experts across 3 network communities independently surfaced this.

5 experts 3 communities 1 sources clustered
How the network is reacting 5 experts are independently emphasizing research & technical analysis.
Reaction converging

Research & technical analysis

5 experts

Evidence, methods and technical implications.

“In the "Limitations" section they acknowledge that their study was monolingual, but say a multilingual generalization would be interesting. arxiv.org/abs/2605.26492”

2 experts discussed this · 2 posts
Ted Underwood: was reading this and enjoying it — and then enjoyed it more when it turned out to be a paper by Sil Hamilton and @dmimno.bsky.social
David Mimno: was reading this and enjoying it — and then enjoyed it more when it turned out to be a paper by Sil Hamilton and @dmimno.bsky.social
David Mimno: The preprint is arxiv.org/abs/2605.26492, and @srhm.ca is working on a post!
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New AI research Research 22h ago
⚡ 4 h early
AI-generated language comprehension difficulty paper

Why is AI-generated language so hard to understand?

4 experts are actively discussing the implications.

2 experts 2 communities 1 sources clustered

“Curious to dig into the analysis here arxiv.org/abs/2610.29162”

4 experts discussed this · 4 posts
Shubhendu Trivedi: Curious to dig into the analysis here arxiv.org/abs/2610.29162
Ted Underwood: Curious to dig into the analysis here arxiv.org/abs/2610.29162
Ted Underwood: Intuitively the qualities they list match my assessment, and the rationale passes a sniff test
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Established Models & releases Analysis 10d ago
LLMs reward expertise essay

LLMs reward expertise

6 experts across 4 network communities independently surfaced this.

6 experts 4 communities 1 sources clustered

““The most important skill in prompting is expertise in the domain you’re prompting for.” www.seangoedecke.com/llms-reward-...”

“The most important skill in prompting is expertise in the domain you’re prompting for is well understood in many corners. It is why hiring across the software industry now favors super ICs and experienced seniors over entry level hires. AI makes you more pr…”

Established Models & releases Research 5d ago
⚡ 60 h early
next-concept modeling text generation paper

Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text Generation

3 experts across 3 network communities independently surfaced this.

3 experts 3 communities 1 sources clustered

“This week, I bumped into Hermann at Stanford, a PhD student from Cameroon 🇨🇲, sharing his brillant paper here! Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text Generation arxiv.org/abs/2610.14162”

“Stanford researchers introduce Next-Concept Modeling (NCM), a framework that revolutionizes text generation by achieving up to 31× faster performance than leading diffusion models while enhancing quality across tasks. https://arxiv.org/abs/2610.14162”

Established Policy & governance Resource 14d ago
AGMAI September 29 general content

general-sep29

5 experts across 4 network communities independently surfaced this.

5 experts 4 communities 1 sources clustered

“It's possible I'm wrong, and they didn't actually closely follow the advice given by that board (AGMAI). Depends on how well we think they did on part 2B here.”

“I think the recommendations are the only thing that has been published agmai.org/general-sep29/”

4 experts discussed this · 47 posts
SE Gyges: i would like everyone complaining to state what they would have preferred to have happened here.
SE Gyges: why? and, like, i guess they could but i assume they tried basically all of them
SE Gyges: i'mma keep it real with you i don't remember who i was quote posting and did not intend it as a dunk on them, i am simply displeased with the discourse overall
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Established Safety & security Analysis 16d ago
⚡ 5 h early
cyber risk AI discourse critique essay

The Cyber Risk Discourse is Broken

4 experts across 3 network communities independently surfaced this.

4 experts 3 communities 1 sources clustered

“In case you missed my hot take yesterday. www.interconnects.ai/p/the-cyber-...”

“The Cyber Risk Discourse is Broken www.interconnects.ai/p/the-cyber-ri… #AI #cybersecurity”

3 experts discussed this · 3 posts
Nathan Lambert: In case you missed my hot take yesterday. www.interconnects.ai/p/the-cyber-...
Ted Underwood: In case you missed my hot take yesterday. www.interconnects.ai/p/the-cyber-...
Alex Hern: From stage to screen
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New AI field signal Development 23h ago
AI aids historical figure memory research

AI research to aid in remembering historical figures

3 experts across 2 network communities independently surfaced this.

3 experts 2 communities 1 sources clustered

“Article about HAVI-funded project led by Ben Lee, Melanie Walsh (U of Washington), Kyle Deeds (Boston U), Trevor Owens (American Institute of Physics) to investigate how historical figures like James Baldwin are represented by AI & search. @schmidtsciences.…”

Established AI field signal Signal 14d ago
⚡ 79 h early

In the Garden of Forking Paths: Mapping and Making Sense of Storytelling at Scale

3 experts across 2 network communities independently surfaced this.

3 experts 2 communities 1 sources clustered

“I'll be at Berkeley today, giving a talk at noon for the Cultural Analytics Series in the the School of Information! I'll be speaking about storytelling, AI, pretraining data, and user-chatbot behavior.”

Established AI field signal Signal 4d ago
⚡ 13 h early

GitHub - Ephemeral-AI-Lab/layerfs: LayerFS gives every agent an isolated, disposable filesystem fork without copying the shared base. Useful states become durable, deduplicated checkpoints with workspace-scoped tool history—ready to branch, rewind, or reuse across parallel development, environment e

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered

“LayerFS: a Git-like environment for agents it’s extremely fast, because it uses Linux’ layered filesystems to avoid any file copies for files that don’t change github.com/Ephemeral-AI...”

Established Models & releases Research 17d ago
⚡ 2592 h early
social reasoning provenance LLMs paper

Where Does Social Reasoning Come From? Capability Provenance in Language Models

3 experts across 2 network communities independently surfaced this.

3 experts 2 communities 1 sources clustered

“We find that social reasoning such as theory of mind, moral judgment, and social bias is learned from a wide range of data, including literature and customer support. STEM skills (and even social facts) come from a more limited part of the data such as docu…”

“Glenn Matlin, Chandreyi Chakraborty, Saehee Eom, Mika Okamoto, Rayan Castilla, Louis Jaburi, Alvin Deng, Taywon Min, Lucia Quirke, Stella Biderman, Mark Riedl Where Does Social Reasoning Come From? Capability Provenance in Language Models https://arxiv.org/…”

Established Culture, work & education Analysis 9d ago
AI impact on creative class essay

AI and the Fall? of the Creative Class

4 experts across 2 network communities independently surfaced this.

4 experts 2 communities 1 sources clustered

“Have seen a bunch of people marvel at How Much Concert Tickets Cost These Days but per @JosephPolitano it seems to be largely the mirror image of how much cheaper it’s become to listen to recorded music. https://t.co/rtZwZO5alY https://t.co/6EdBB0PwS2”

“It's just a parade of bad news for jobs in the media and entertainment industries nowadays, and I don't know if anything is going to stem the bleeding anytime soon www.apricitas.io/p/ai-and-the...”

2 experts discussed this · 11 posts
Joey Politano🏳️‍🌈: Thanks for making it to the end of the thread! If you want to read more, here’s the full article where I give more detailed data on AI & arts job loss While you’re there, consider subscribing to my…
Joey Politano🏳️‍🌈: Overall, media has always been a small share of the economy—the effect of AI art will be primarily cultural & social rather than economic Still, current arts displacement is a microcosm of disrupti…
Joey Politano🏳️‍🌈: Still, it's extremely difficult to predict how tech will interact with arts businesses Take US novel sales, which had been declining for decades up to 2020. Would anyone have anticipated that short…
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Established Models & releases Research 17d ago
⚡ 168 h early
pretraining LMs on historical text paper

Pretraining Language Models on Historical Text

3 experts across 2 network communities independently surfaced this.

3 experts 2 communities 1 sources clustered

“For fans of Talkie-1930 and all the methodological questions raised by historical models, here's a new entrant into the field, TypewriterLM, trained up to 1913. Corpus, instruction-tuning datasets, and event dataset are released. arxiv.org/abs/2606.02991”

“A study presents "TYPEWRITERLM," a 7.24B language model pre-trained on texts before 1913. It achieves strong language understanding without biases. The "HISTORY-EVENT" benchmark tests historical accuracy and model performance, aiding future research. https:…”

7 experts discussed this · 38 posts
Ted Underwood: For fans of Talkie-1930 and all the methodological questions raised by historical models, here's a new entrant into the field, TypewriterLM, trained up to 1913. Corpus, instruction-tuning datasets,…
Ted Underwood: Also the model itself. Inter alia, I am glad that I decided to work on a benchmark rather than a model.
Ted Underwood: Not as far as I know, and I haven't set it up locally yet, though that would be easy at this size.
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Established Models & releases Release 20d ago
⚡ 5 h early
Aleph Alpha Kolibri-1 release

Aleph-Alpha/Kolibri-1 · Hugging Face

3 experts across 2 network communities independently surfaced this.

3 experts 2 communities 1 sources clustered

“Aleph Alpha, soon to be part of Cohere, released open-weight of Kolibri. 78B parameters. 3.46B active. Up to 1M tokens of context. Built in Europe. Model: huggingface.co/Aleph-Alpha/... Tech Report: aleph-alpha.com/downloads/te...”

What experts are discussing without an anchoring article

9 experts · 63 posts · 13d ago
Reaction converging Markets & investment · 4 Research & technical analysis · 1
Cat Hicks: "why would I ever need a task to be done faster" come on, guys. Because we're dying. Because we are literally all dying all the time. Because we're running out of time. The fact that it's often har…
Cat Hicks: because tasks gate other tasks. Because measuring the hours saved by washing machines is a relatively useful index for quality of life improvement. Because the time it takes for you to get from the…
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8 experts · 30 posts · 6d ago
Multiple readings Concern & critique · 1 Building & implementation · 1 Questions & unknowns · 1
Colin: Frankenmodel refuses to believe it's not just Claude
Colin: I don't think if you put 6 people in a circle and asked them to tell a story one word at a time they would, together, spontaneously create a story which denies that they are indeed six individuals
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