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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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Reaction converging Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights Research & technical analysis · 7 attributable reactions Multiple readings Building scientific understanding with academic communities Building & implementation · 4 attributable reactions Shared emphasis Why is AI-generated language so hard to understand? Research & technical analysis · 2 attributable reactions
Showing signals surfaced by Shubhendu Trivedi ×
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 AI research Research 2d ago
LLMs read write neural network weights

Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights

16 experts across 6 network communities independently surfaced this.

16 experts 6 communities 1 sources clustered
Mark Riedl Ted Underwood Ethan Mollick Ramon Astudillo Tim Kellogg Gus Alejandra Caraballo David Marx +8
How the network is reacting 7 experts are independently emphasizing research & technical analysis.
Reaction converging

Research & technical analysis

7 experts

Evidence, methods and technical implications.

“This is fascinating. Very large models can read the weights of small models and intuit what those models were trained to do, and make direct weight changes to improve them. rikiyat.github.io/blog/weight-...”

4 experts discussed this · 5 posts
Ethan Mollick: If this holds up, it is big: "We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math. It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x …
Antonino Greco: If this holds up, it is big: "We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math. It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x …
Thomas Dietterich: Can someone provide a plausible mechanism for this? Has GPT-6 Astra been trained on neural network weight (or activation) interpretation?
Open the full discussion →
Primary source rikiyat.github.io ↗
Established AI research Research 10d ago
⚡ 8 h early
emergent symbolic structure neural networks paper

The Emergent Symbolic Structure of Artificial Neural Networks

3 experts across 3 network communities independently surfaced this.

3 experts 3 communities 1 sources clustered
Tal Linzen Tom McCoy Shubhendu Trivedi

“Work done with @paulsoulos.bsky.social, @tallinzen.bsky.social, and Paul Smolensky For much more, see our paper! arxiv.org/abs/2608.29530 12/12”

4 experts discussed this · 30 posts
Tom McCoy: 🤖🧠NEW PAPER🧠🤖 (The result of an 8-year project!) LLMs seem very different from symbolic systems. Yet LLMs excel in symbolic domains (e.g., language/code/math). How do they do it? Our finding: LLM r…
Tom McCoy: Paper: arxiv.org/abs/2608.29530 We consider a variety of neural networks that perform seemingly-symbolic tasks, from small-scale models trained on simple list-manipulation tasks to LLMs performing …
Tom McCoy: Our hypothesis: The networks succeed on these tasks by implicitly building symbolic structure in vector space. What makes this hypothesis testable is the Tensor Product Representation (TPR) formali…
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Primary source arxiv.org ↗
Established AI research Signal 11d ago

Building scientific understanding with academic communities

6 experts across 4 network communities independently surfaced this.

6 experts 4 communities 1 sources clustered
Dare Obasanjo Colin Shubhendu Trivedi tweety fish Phillip Carter Ryan Williams
4 experts discussed this · 11 posts
Colin: It is interesting watching them try out all kinds of different stuff to try to stop everyone from getting mad. I swear, everyone getting really mad at a tech company really works. It’s one of the f…
tweety fish: It is interesting watching them try out all kinds of different stuff to try to stop everyone from getting mad. I swear, everyone getting really mad at a tech company really works. It’s one of the f…
Colin: Deep down the people who work there just want to be held in high esteem. They want everyone to say “thank you for changing the world with your wonderful products” and they don’t want to be yelled at.
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Primary source openai.com ↗
Established AI research Research 12d ago
⚡ 3593 h early
collective motion moshers metal concerts paper

Collective Motion of Moshers at Heavy Metal Concerts

4 experts are actively discussing the implications.

2 experts 2 communities 1 sources clustered
Shubhendu Trivedi Dan Larremore

“Actually can't find it. It was from 10-13 years ago. Using LMs gave this, which I also remember, but it's not this one. This is too simple and whimsical arxiv.org/abs/1302.1886”

4 experts discussed this · 25 posts
Shubhendu Trivedi: One reason I have basically stopped scrolling social media (down to perhaps 15-20 minutes at max) is because I can't stand the sight of the endless procession of anons.
Shubhendu Trivedi: fast-moving collective dynamics, which it does, even if the participants didn't intend anything beyond the local venting (and don't even care about loosely coordinated adjacent communities). Take a…
Shubhendu Trivedi: On some days I might indeed doom scroll. But it's just the same thing. Big tech anon, frontier anon, reactionary anon, prof anon, grad anon, eigen anons, ai anons, anti-ai anons, this anon, that an…
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Primary source arxiv.org ↗
Established AI research Research 11d ago
⚡ 4 h early
AI-generated language comprehension difficulty paper

Why is AI-generated language so hard to understand?

7 experts across 4 network communities independently surfaced this.

7 experts 4 communities 1 sources clustered
Maria Antoniak Ted Underwood Meredith Martin Shubhendu Trivedi arxiv cs.CL Doll austegard.com
How the network is reacting 2 experts are emphasizing research & technical analysis.
Shared emphasis

Research & technical analysis

2 experts

Evidence, methods and technical implications.

“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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Primary source arxiv.org ↗
Established AI field signal Signal 16d ago

ulamai/UnsolvedMath · Datasets at Hugging Face

2 experts are actively discussing the implications.

1 expert 1 community 1 sources clustered
Shubhendu Trivedi

“Otherwise, you will have more of this huggingface.co/datasets/ula... there person on twitter who for the purpose of "advancing math" has even scraped questions people discussed in Oberwolfach sort of meetings. Imagine a descent on this. Basically would end …”

2 experts discussed this · 16 posts
Shubhendu Trivedi: I used to say the same thing to my advisor, and faculty collaborators (I graduated in 2018). Even used to say the same for poorly written papers and books that nonetheless had something unique abou…
Shubhendu Trivedi: The analogy I used to draw was akin to a denoising autoencoder, with the input a signal from a mind that had a reasonably-well-formed and unified conception, but presented it idiosyncratically, or …
Shubhendu Trivedi: With humongous AI proofs at least at the moment, I don't feel that. Consider the latest dump, only a very small fraction (in additive combinatorics, TCS, and Number Theory) had some expert whetting…
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Primary source huggingface.co ↗
Established AI research Research 16d ago
equivariance convolution compact groups generalization paper

On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups

2 experts are actively discussing the implications.

1 expert 1 community 1 sources clustered
Shubhendu Trivedi

“My favourite paper is still this arxiv.org/abs/1802.03690 it took around 2.5 years to conceive and write..”

2 experts discussed this · 9 posts
Shubhendu Trivedi: We weren't sure what to do with it. The more ambitious problem we wanted to address (for which the exact problem I have stated in a thread here some months ago), had eluded us. But one of the autho…
Shubhendu Trivedi: Visited my own scholar profile after a few months to link a paper to someone. Embarrassed to find that a paper that we put online (and then submitted to TMLR where it was accepted) but were really …
Shubhendu Trivedi: My favourite paper is still this arxiv.org/abs/1802.03690 it took around 2.5 years to conceive and write..
Open the full discussion →
Primary source arxiv.org ↗
Established AI research Research 6d ago
⚡ 35 h early
ODE sampler discrete diffusion paper

An ODE-based Sampler for Discrete Diffusion Models

2 experts are actively discussing the implications.

2 experts 1 community 1 sources clustered
Ramon Astudillo Shubhendu Trivedi

“Looks cool arxiv.org/abs/2610.40618”

2 experts discussed this · 2 posts
Shubhendu Trivedi: Looks cool arxiv.org/abs/2610.40618
Ramon Astudillo: Looks like continuous-time text diffusion, but better
Ramon Astudillo: Looks cool arxiv.org/abs/2610.40618
Open the full discussion →
Primary source arxiv.org ↗
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