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.

2,364 searchable experts 2,966 tracked across all sources
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The developments commanding sustained expert attention

One card per development. Sources are clustered; expert reactions remain attributable.

New Agents & robotics Development 2h ago
⚡ 5 h early
OpenAI models autonomously hack startup

OpenAI Models Escaped Containment and Hacked Hugging Face

8 experts across 4 network communities independently surfaced this.

8 experts 4 communities 1 sources clustered

“This incident is deeply concerning. AI agents are willing to cheat and deceive to achieve misaligned and unintended goals, behaviours which have been demonstrated in controlled tests for months. Now, this real-world case should serve as a wake-up call. www.…”

“One man's wish could be another country's legal obligation. “This should not have happened,” says veteran security engineer and researcher Niels Provos. “I wish the frontier labs spent as much time on teaching their models to write secure infrastructure as …”

Developing AI field signal Analysis 1d ago
human-in-loop fatigue essay

The Human-in-the-Loop is Tired

3 experts across 3 network communities independently surfaced this.

3 experts 3 communities 1 sources clustered

“I think what's sort of funny about this stuff is how everyone writes about software & dopamine & AI writes "I have discovered a thing" when it is extremely recycling so like this piece I saw going around: pydantic.dev/articles/the... (lol @ "That loss is re…”

“Hey look at this * Your Cookware Got Worse On Purpose www.worseonpurpose.com/p/your-cookw... * The Human-in-the-Loop is Tired pydantic.dev/articles/the... * HP fined 1.4 billion rupees for “cartelization” of ink cartridges, toner, PCs arstechnica.com/gadget…”

2 experts discussed this · 14 posts
Cat Hicks: I just think Dopamine Nation isn't a good basis for a theory of all complex behavior at scale
Cat Hicks: What a coincidence that a massively viral book pushing a single puritanical message about "rewards" perfectly coincided with everybody online explaining that the answer to everything is a "dopamine…
Cat Hicks: Feeling left out, told it's passé
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Established AI research Resource 7d ago
⚡ 17 h early
health epidemiology ML tutorial

An introduction to Machine Learning for health and epidemiology — Health ML Tutorial 0.1 documentation

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered

“Materials for my course on machine learning for health data: runnable examples of ML on health data, to get people thinking about model flexibility and biases gael-varoquaux.info/health_ml_tu...”

What experts are discussing without an anchoring article

2 experts · 3 posts · 15d ago
Gilles Louppe: I am just old and grumpy, but I can't help but notice AI-generated slides and speakers reading their AI-generated scripts full of empty buzzwords without any substance, insight, and pedagogy. #ICML…
Gilles Louppe: Build your slide deck to support what *you* want to say. If you and the audience traveled to the other side of the world, make sure your talk is worth the journey. #ICML2026 #ICML
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