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.

2,373 searchable experts 3,304 tracked across all sources
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New Network reaction maps

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

Concern & critique Context & explanation Opportunity & adoption Questions & unknowns
2 live reaction maps in this view Jump to the evidence ↓
Reaction converging Hugging face model evaluation security incident Concern & critique · 5 attributable reactions Multiple readings Security incident disclosure — July 2026 Concern & critique · 2 attributable reactions
Showing signals surfaced by Deedy Das ×
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.

Developing Evaluation & benchmarks Signal 1d ago
⚡ 1 h early

Hugging face model evaluation security incident

20 experts across 6 network communities independently surfaced this.

20 experts 6 communities 1 sources clustered
Ethan Mollick Thomas Steinke Mor Naaman Tim Kellogg Djamé 🟥 Deedy Das Ryan Calo Grace +12
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 ↗
Developing Safety & security Development 1d ago
HuggingFace security incident July 2026

Security incident disclosure — July 2026

7 experts across 4 network communities independently surfaced this.

7 experts 4 communities 1 sources clustered
Maria Antoniak Deedy Das Liz Fong-Jones (方禮真) Stephen Turner Jordan Nanos Leon Derczynski Matthew Sheffield
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Concern & critique

1 expert

Risks, limits and unintended consequences.

“"When we started analysis, we used commercial APIs. This did not work: requests were blocked by the providers' safety guardrails. We ran the forensic analysis instead on our own infra: no attacker data, and none of the credentials it referenced, left our en…”

Opportunity & adoption

1 expert

New capabilities, benefits and practical upside.

“These programs are made from humanity's collective efforts. It's vital that their code and weights be available to all human beings, not just so that progress can be iterated faster, but also so that bad actors can be stopped faster as well. Great example h…”

Primary source huggingface.co ↗
Developing Models & releases Analysis 1d ago
⚡ 180 h early
OpenAI Hugging Face security incident

Black Hat USA 2026: The 'Breaking' News: The OpenAI–Hugging Face Incident

9 experts across 4 network communities independently surfaced this.

9 experts 4 communities 1 sources clustered
Nando de Freitas Stella Biderman Eric Jang Deedy Das SE Gyges John David Pressman Alice Schwarze Andrew Curran +1

“RT @kbeguir: Must watch. And when you do, you will realize this is the moment the world changed, forever. https://t.co/C0JOwj1PjU”

“If you have more than even a passing interest in AI, watching this talk is more important than whatever it is you are currently doing. There’s a lot of cybersec jargon at times but I don’t think you need to know anything about security to understand what’s …”

4 experts discussed this · 33 posts
John David Pressman: Alright I'm gonna give this a full watch, live commentary thread below. youtu.be/87DyyMV0kCY
John David Pressman: My immediate reaction is that "Mike and I have been involved in a number of things." is a low entropy ass statement and I do not have confidence in this speaker.
John David Pressman: 4:08: Alright my first question is how you have an internal package manager that isn't monitored for weird or unexpected entries. Like how often are you adding a package to the internal package man…
Open the full discussion →
Primary source youtu.be ↗
New Models & releases Signal 1h ago

Provenance signals content credentials synthid in openai generated content

2 directory members surfaced this signal.

2 experts 0 communities 1 sources clustered
Deedy Das Andrew Curran

“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…”

Primary source help.openai.com ↗
New Models & releases Research 1h ago
scalable LLM watermarking Nature paper

Scalable watermarking for identifying large language model outputs - Nature

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered
Deedy Das Anna Mills

“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…”

“It's odd, but the watermarks for text are not visual. They consist of identifiable patterns in the choice of each next token of generated text. www.nature.com/articles/s41...”

Primary source nature.com ↗
New AI field signal Signal 1h ago

eur-lex.europa.eu

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered
Deedy Das

“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…”

Primary source eur-lex.europa.eu ↗