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The Who's Who of AI

What credible people across AI noticed, why it matters, and where the field is converging or disagreeing.

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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.

Why this matches Research & technical analysis reaction 2 attributable expert contributions · Ted Underwood, AI Firehose
“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” evidence ↗
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.
Open the full discussion →
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.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Amir-massoud Farahmand
“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(…” evidence ↗
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.

Why this matches Research & technical analysis reaction 2 attributable expert contributions · Tim Kellogg, Shahab Bakhtiari
“Goodfire: interpretability may be solved soon A new discovery shows that LLMs are directly interpretable without first “untying” them already-clean.goodfire.com” evidence ↗
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.
Open the full discussion →
New AI field signal Signal 20h ago
⚡ 3269 h early

character.ai

10 experts across 5 network communities independently surfaced this.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Ed Zitron
“Character.ai was gutted in 2024 for $2.5 billion so Google could rehire one of the original authors of the Attention Is All You Need paper, but it hung in there for two years under Google’s “licensing” deal. This is the first of many I’m afraid. This is all…” evidence ↗
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)
Open the full discussion →
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.

Why this matches Research & technical analysis reaction 5 attributable expert contributions · Eugene Vinitsky, Ted Underwood, Ramon Astudillo
“arxiv.org, doi.org, biorxiv.org, medrxiv.org, pubmed.ncbi.nlm.nih.gov, nature.com, science.org, pnas.org, semanticscholar.org, openreview.net” evidence ↗
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?
Open the full discussion →
New AI research Research 23h 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.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Shubhendu Trivedi
“Curious to dig into the analysis here arxiv.org/abs/2610.29162” evidence ↗
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
Open the full discussion →
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.

Why this matches Research & technical analysis reaction 2 attributable expert contributions · Leshem (Legend) Choshen @EMNLP, Vilém Zouhar
“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…” evidence ↗
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 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.

Why this matches Research & technical analysis reaction 5 attributable expert contributions · Ted Underwood, David Mimno, Eryk Salvaggio
“In the "Limitations" section they acknowledge that their study was monolingual, but say a multilingual generalization would be interesting. arxiv.org/abs/2605.26492” evidence ↗
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!
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.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Kristina Gligoric
“Check out our new paper! arxiv.org/abs/2603.21404” evidence ↗
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!
Open the full discussion →

What experts are discussing without an anchoring article

9 experts · 63 posts · 13d ago
Matches Research & technical analysis
“This view of human tasks is quite narrow. One of my tasks this week was helping my dad understand his cancer treatment. When I saved time finding the right evidence for his particular protocol rath…” evidence ↗
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 →
4 experts · 9 posts · 22h ago
Matches Research & technical analysis
“My ambition is lower, which is to simply get the reviewers to understand the point of my paper while still having the stats be legit 😂” evidence ↗
Shared emphasis Research & technical analysis · 2
David Rand: As I discussed with Brendan elsewhere, we always control for pretreatment. When you do that it doesn't matter whether the outcome is change or post, it's mathematically identical. But I think using…
David Rand: Ya exactly, that's what we always do
Open the thread →
3 experts · 35 posts · 9d ago
Matches Research & technical analysis
“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…” evidence ↗
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…
Open the thread →
3 experts · 23 posts · 16d ago
Matches Research & technical analysis
“Fortunately, that bridge itself is easy as heck to copy and make free. At this point pretty much everything that was gained from the initial pre-training is in fact, universally shared. Differences…” evidence ↗
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 …
Open the thread →
3 experts · 7 posts · 1d ago
Matches Research & technical analysis
“As an undergraduate in the early 90s it was great because everyone would reply (and often snail mail you physical papers)” evidence ↗
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.
Open the thread →
3 experts · 11 posts · 15d ago
Matches Research & technical analysis
“the scary part is it was 200 pages with all extra datasets tested, but then we had to condense it...” evidence ↗
Multiple readings Concern & critique · 1 Research & technical analysis · 1
Ted Underwood: This is complex — and likely a bit fragile — but very cool. Actually less interested in the ostensible end goal (Pangram for Ideas) and more in the problems you have to solve to get there (separati…
Ted Underwood: There's some crazy stuff in the ablations. The order of elements has almost no significance. The "discourse roles" they infer? Not load-bearing. You can remove them. On the other hand, it's possibl…
Open the thread →
3 experts · 5 posts · 5d ago
Matches Research & technical analysis
“Would have been nice if this all stayed a hypothetical in my political science middle school class and not, you know, a living experiment” evidence ↗
Multiple readings Concern & critique · 1 Research & technical analysis · 1
Ted Underwood: Generally we say “how unfortunate that this is happening under a would-be authoritarian regime in the US!” But there’s also an upside of having this conversation at a moment when we’re acutely cons…
Ted Underwood: Check back with me after a rogue AI has done let’s say 1/4 as much damage as happened through abuse of executive authority over the last two years. At that point I’ll be interested in seriously med…
Open the thread →
3 experts · 7 posts · 17d ago
Matches Research & technical analysis
“I think “recent big jumps have mostly been due to post-training” + “open models have at this point either trained on much of the same original text or have benefited from it via distillation, SFT d…” evidence ↗
Ted Underwood: Something not sufficiently registered in the convo around AI/IP: the value that was gained from pretraining (on our collective legacy) is now common property. People do pay more for frontier models…
Ted Underwood: People are still talking as if, say, Anthropic is able to charge for use because they found a hidden trove of 2013-era fanfiction that makes their models slightly better than the competition — and …
Open the thread →
2 experts · 4 posts · 1d ago
Matches Research & technical analysis
“People love LLM judges in papers because it turns something qualitative into something that feels quantitative” evidence ↗
Shared emphasis Research & technical analysis · 2
Eugene Vinitsky: People love LLM judges in papers because it turns something qualitative into something that feels quantitative
Ted Underwood: I have bad news about human annotation and survey research
Open the thread →
3 experts · 5 posts · 11d ago
Matches Research & technical analysis
“I feel like there is a pattern in #CHR2027 papers of "we engineered this LLM-based pipeline and evaluated it in service of a humanities research question, but for CHR we will only report about the …” evidence ↗
Multiple readings Research & technical analysis · 1 Questions & unknowns · 1
Maria Antoniak: I feel like there is a pattern in #CHR2027 papers of "we engineered this LLM-based pipeline and evaluated it in service of a humanities research question, but for CHR we will only report about the …
Ted Underwood: I feel like there is a pattern in #CHR2027 papers of "we engineered this LLM-based pipeline and evaluated it in service of a humanities research question, but for CHR we will only report about the …
Open the thread →
3 experts · 3 posts · 17d ago
Matches Research & technical analysis
“I guess you can believe Max, if you like history. But if like most of us you prefer moralistic projection, let me tell you a story about the noble Machine Learning Researchers of 2012, before the F…” evidence ↗
Multiple readings Research & technical analysis · 1 Questions & unknowns · 1
Ted Underwood: I guess you can believe Max, if you like history. But if like most of us you prefer moralistic projection, let me tell you a story about the noble Machine Learning Researchers of 2012, before the F…
Adam L: After all, look at GDELT! No lurking ethical questions there
Open the thread →