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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The questions experts are actively pulling apart

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

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 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 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 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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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 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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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 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 Evaluation & benchmarks Resource 15d ago
⚡ 2258 h early
Last Translation Benchmark tool

Last Translation Benchmark

3 experts across 2 network communities independently surfaced this.

3 experts 2 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.

“Sad to see no African representation in the last translation benchmark, despite LLMs and MT being so bad If you know who would be interested or are interested yourself in contributing(coauthoring), please do and share last-translation-benchmark.vilda.net Vi…”

3 experts discussed this · 9 posts
Vilém Zouhar: There are many things machine translation still can't do. Help us steer the next direction by contributing hard-to-translate inputs (and be on a cool paper).
Vilém Zouhar: Multiple things made us start this effort. Typical translation benchmarks are.. ...oftentimes trivial or saturated (so they can't be used for guiding the next steps in the field) ...not evaluatable…
Vilém Zouhar: In the Last Translation Benchmark we solve both by: - collecting hard-to-translate inputs (texts, images, audios) - requiring human-readable "verification rules", which enable provable evaluation o…
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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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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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Established AI field signal Signal 19d ago

jstage.jst.go.jp

3 experts are actively discussing the implications.

2 experts 2 communities 1 sources clustered

“It is wild that this framework: compression progress as the basis for beauty, curiosity, art, science, and even jokes, was laid out in full formal detail in a Japanese journal 15 years ago.”

3 experts discussed this · 5 posts
hardmaru: Recently learned that Schmidhuber’s Formal Theory of Fun and Creativity, covering compression progress and intrinsic motivation and their relationship to beauty, curiosity, art, science, music, and…
hardmaru: It is wild that this framework: compression progress as the basis for beauty, curiosity, art, science, and even jokes, was laid out in full formal detail in a Japanese journal 15 years ago.
Ted Underwood: Recently learned that Schmidhuber’s Formal Theory of Fun and Creativity, covering compression progress and intrinsic motivation and their relationship to beauty, curiosity, art, science, music, and…
Open the full discussion →
Established Models & releases Signal 10d ago

EmbeddingGemma 2: The Developer Guide- Google Developers Blog

2 experts are actively discussing the implications.

2 experts 2 communities 1 sources clustered

“Check out this practical developer guide for EmbeddingGemma 2 covering multimodal retrieval across text, code, images, audio, and video, modular encoders (270M to 740M), and Matryoshka truncation (768d down to 128d): https://developers.googleblog.com/embedd…”

2 experts discussed this · 7 posts
Gus: Check out this practical developer guide for EmbeddingGemma 2 covering multimodal retrieval across text, code, images, audio, and video, modular encoders (270M to 740M), and Matryoshka truncation (…
Gus: I don't think there is a plan for a re-ranker models as of now. for tutorials, we are building some more since people enjoyed the model so much
Ted Underwood: Check out this practical developer guide for EmbeddingGemma 2 covering multimodal retrieval across text, code, images, audio, and video, modular encoders (270M to 740M), and Matryoshka truncation (…
Open the full discussion →
Established Models & releases Research 20d ago
⚡ 19 h early
multi-perspective LLM annotation subjective tasks

Multi-Perspective LLM Annotations for Valid Analyses in Subjective Tasks

2 experts are actively discussing the implications.

2 experts 1 community 1 sources clustered

“Check out our new paper! arxiv.org/abs/2603.21404”

2 experts discussed this · 2 posts
Kristina Gligoric: Check out our new paper! arxiv.org/abs/2603.21404
Ted Underwood: Check out our new paper! arxiv.org/abs/2603.21404
angela zhou: This looks great!
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Established AI field signal Analysis 18d ago
AI overconfidence risk essay

Will AI make us overconfident?

2 experts are actively discussing the implications.

1 expert 1 community 1 sources clustered

“this is the source btw tedunderwood.com/2024/08/31/w...”

2 experts discussed this · 4 posts
Ted Underwood: Lots of gratitude to @carlbergstrom.com for quoting probably my favorite of my own sentences about AI at @arl.org
Ted Underwood: this is the source btw tedunderwood.com/2024/08/31/w...
Ted Underwood: Needs more dancing Milla Jovovich
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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…
Open the thread →
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
Open the thread →
3 experts · 35 posts · 9d ago
Liz Fong-Jones (方禮真): cpu is dogshit slow for inference, and self-replicating worms already exist (you may know them as rVPNs or botnets) alas they're just repackaging an existing problem as "you should be afraid of eve…
Liz Fong-Jones (方禮真): I will eat my hat if a smart tv can host enough inference to devise *new* attacks rather than just exploit the same existing attacks and just happen to bring along an additional giant multi-gigabyt…
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4 experts · 15 posts · 16d ago
Ted Underwood: If anyone on bsky has a direct line to the hive of people creating viral Claude videos, could you please request 5000% less gender? Even natural gender can be "a little too much," and the fully syn…
Ted Underwood: You’d look faintly wet too if you had been produced by genetic fusion of Björk, Amélie, and Milla Jovovich, s t r e t c h e d like taffy and then dressed to perform in the musical version of The 5t…
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3 experts · 23 posts · 16d ago
Multiple readings Concern & critique · 1 Policy & governance · 1 Research & technical analysis · 1
Ted Underwood: It's okay to learn from everything, and train on everything. That's everyone's birthright, and we shouldn't apologize for it. Prohibitions on copying were a late invention, and a narrowly tailored …
Ted Underwood: I like compromises. But one place I don't believe in meeting people halfway, or 5% of the way, is the notion that AI would be better if not based on texts/images that governments have made illegal …
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3 experts · 7 posts · 1d ago
Multiple readings Research & technical analysis · 1 Questions & unknowns · 1
Ted Underwood: The Internet era is kind of rough on faculty in emerging fields, because if University U hasn’t yet hired someone in your field, the students there *will write you* to ask sincere, interesting ques…
Ted Underwood: I guess my takeaway is not, students pls be less curious & proactive — but more hurry the f up, Univ U.
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