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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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Showing signals surfaced by Federico Pianzola ×

The developments commanding sustained expert attention

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

Established AI field signal Resource 20d ago
⚡ 87 h early
arxiv preprint archive resource

arXiv.org e-Print archive

5 experts across 3 network communities independently surfaced this.

Why this matches Research & technical analysis reaction 3 attributable expert contributions · Ramon Astudillo, Alison Gopnik, Ben Schmidt
“👆 A paranoid LLM is ofc worse. This is just tuning a prior belief up or down. I guess you could self distill additional context for the train data e.g. "you know arxiv.org is such and such" or "this is an unknown source" with the hope it generalises (and al…” evidence ↗
5 experts 3 communities 1 sources clustered
How the network is reacting 3 experts are independently emphasizing research & technical analysis.
Reaction converging

Research & technical analysis

3 experts

Evidence, methods and technical implications.

“👆 A paranoid LLM is ofc worse. This is just tuning a prior belief up or down. I guess you could self distill additional context for the train data e.g. "you know arxiv.org is such and such" or "this is an unknown source" with the hope it generalises (and al…”

Established AI field signal Signal 3d ago
⚡ 7 h early

Back-to-basics: unobservable constructs and their ‘surplus meaning’ - (Un)rigorous AI

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Alexandra Olteanu
“Wrote another brief post motivated by a reflection on how in AI research folks might not fully appreciate the care that working with unobservable constructs requires. TL;DR -- Because unobservable constructs hold ‘surplus meaning,’ your metric is not your c…” evidence ↗
2 experts 2 communities 1 sources clustered

“Wrote another brief post motivated by a reflection on how in AI research folks might not fully appreciate the care that working with unobservable constructs requires. TL;DR -- Because unobservable constructs hold ‘surplus meaning,’ your metric is not your c…”

Established AI research Resource 13d ago
⚡ 41 h early
Federico Pianzola researcher profile page

Federico Pianzola

4 experts are actively discussing the implications.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Federico Pianzola
“some of us saw this coming: computer scientists are doing a lot of research on fiction and narrative. 💥 63 papers + 2 SemEval tasks out of 6,422 publications in the latest @aclanthology.org Full list: federicopianzola.me/blog/index.h... #ComputationalHumani…” evidence ↗
2 experts 1 community 1 sources clustered

“some of us saw this coming: computer scientists are doing a lot of research on fiction and narrative. 💥 63 papers + 2 SemEval tasks out of 6,422 publications in the latest @aclanthology.org Full list: federicopianzola.me/blog/index.h... #ComputationalHumani…”

4 experts discussed this · 7 posts
Federico Pianzola: some of us saw this coming: computer scientists are doing a lot of research on fiction and narrative. 💥 63 papers + 2 SemEval tasks out of 6,422 publications in the latest @aclanthology.org Full li…
James Tauber: I wonder if that makes it better or worse to be starting my PhD in this area 😀
Mark Riedl: some of us saw this coming: computer scientists are doing a lot of research on fiction and narrative. 💥 63 papers + 2 SemEval tasks out of 6,422 publications in the latest @aclanthology.org Full li…
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What experts are discussing without an anchoring article

3 experts · 6 posts · 20d ago
Matches Research & technical analysis
“What’re your favorite resources on managing codebases for LLMs? As in, how to structure design and experimentation on codebases so that LLMs manage context well and don’t constantly have to redisco…” evidence ↗
Multiple readings Building & implementation · 1 Research & technical analysis · 1
Eugene Vinitsky: What’re your favorite resources on managing codebases for LLMs? As in, how to structure design and experimentation on codebases so that LLMs manage context well and don’t constantly have to redisco…
David Marx: I'm not convinced this is a bad thing. Does managing context "well" mean "quietly"? If you pack the LLMs context with your entire codebase, it'll have all of the information you need and won't go t…
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3 experts · 4 posts · 13d ago
Matches Research & technical analysis
“I'm looking for examples of successful NSF CAREER proposals and budgets, especially those written by NLP researchers. If you would be willing to share your successful proposal, or if you know of su…” evidence ↗
Maria Antoniak: I'm looking for examples of successful NSF CAREER proposals and budgets, especially those written by NLP researchers. If you would be willing to share your successful proposal, or if you know of su…
Federico Pianzola: I'm looking for examples of successful NSF CAREER proposals and budgets, especially those written by NLP researchers. If you would be willing to share your successful proposal, or if you know of su…
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