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
Build my stream Create my edition
Filter the conversation Who is saying what?

Combine a professional role with a reaction lens. Both must match the same attributed contribution.

Clear all
Active evidence filter

Showing developments with attributable Research & technical analysis reactions.

New Network reaction maps

See how experts are reacting—not just what they shared.

Posts are grouped by conversation and tone. Select a lens to filter the stream; these are never permanent labels on people.

Research & technical analysis Building & implementation Concern & critique Policy & governance
3 live reaction maps in this view Jump to the evidence ↓
Multiple readings Hugging face model evaluation security incident Concern & critique · 5 attributable reactions Multiple readings Scalable watermarking for identifying large language model outputs - Nature Policy & governance · 2 attributable reactions Multiple readings Designing AI-Resilient Assessment and Grading - MLA Webinars Building & implementation · 2 attributable reactions
Showing signals surfaced by Anna Mills ×
Most important

The developments commanding sustained expert attention

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

Established Evaluation & benchmarks Signal 14d ago
⚡ 1 h early

Hugging face model evaluation security incident

22 experts across 6 network communities independently surfaced this.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Jeffrey P. Bigham
“model capability jaggedness is part of the unintuitiveness of current AI, but it's made even less intuitive by tirelessness… wigguming through the jaggedness toward something that looks like success. not quite a paperclip factory, but not so far off. metaph…” evidence ↗
22 experts 6 communities 1 sources clustered
Ethan Mollick Thomas Steinke Jeffrey P. Bigham Eryk Salvaggio Mor Naaman Tim Kellogg Djamé 🟥 Deedy Das +14
6 experts discussed this · 11 posts
Grace: This headline is extremely funny given what happened (OpenAI hacked HF by accident) openai.com/index/huggin...
Grace: Maybe the most concerning part is the OpenAI claim to not have known about this before investigating?
Grace: Well, I think the model passed the test
Open the full discussion →
Primary source openai.com ↗
Established Models & releases Research 9d ago
⚡ 367 h early
scalable LLM watermarking Nature paper

Scalable watermarking for identifying large language model outputs - Nature

5 experts across 2 network communities independently surfaced this.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Pwnallthethings
“I think they are mostly based on Google's synthID paper if you're interested in the details www.nature.com/articles/s41...” evidence ↗
5 experts 2 communities 1 sources clustered
Deedy Das Anna Mills Pwnallthethings SE Gyges Andrew Curran
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Policy & governance

1 expert

Rules, institutions and accountability.

“fwiw watermarking is much harder than multimodal watermarking, where you can store metadata in C2PA and/or have much more undetectable bits to play with. SynthID paper: https://t.co/kodkJuEyhj Full EU regulation: https://t.co/0wwyva6b2o OpenAI Support: http…”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“I think they are mostly based on Google's synthID paper if you're interested in the details www.nature.com/articles/s41...”

6 experts discussed this · 51 posts
rev. howard arson: it is pretty diagnostic of 404's house style that they did not ask anyone whatsoever about what was going on with the model
SE Gyges: amusingly i hate synthid but also 404s reporting here so as usual i am an annoying contrarian who is against everyone
austin: real drown or burn hours
Open the full discussion →
Primary source nature.com ↗
Developing AI field signal Signal 1d ago

Designing AI-Resilient Assessment and Grading - MLA Webinars

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Anna Mills
“"Designing AI-Resilient Assessment and Grading" Thursday, 24 September 2026, at 2:00 pm EDT A free webinar led by my colleagues in the AI and Pedagogy working group of the @modernlanguage.bsky.social MLA Task Force on AI in Research and Teaching. webinars.m…” evidence ↗
2 experts 2 communities 1 sources clustered
Anna Mills Anuj Gupta
Primary source webinars.mla.org ↗