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
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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.

Showing signals surfaced by Doll ×

The developments commanding sustained expert attention

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

Established Agents & robotics Signal 17d ago
⚡ 1924 h early

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

3 experts across 3 network communities independently surfaced this.

3 experts 3 communities 1 sources clustered
Established Culture, work & education Research 7d ago
⚡ 204 h early
AI detection tools higher education reliability paper

Who wrote this? Evaluating the reliability of AI detection tools in higher education - International Journal for Educational Integrity

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered

“Her er en ny, uavhengig studie fra et belgisk universitet hvor de testet 40 menneskeskrevne eksamensoppgaver, 40 KI-genererte osv på forskjellige detektorer. Pangram var mest nøyaktige, men fanget ikke alle KI-tekstene. Ingen mennesketekster ble flagget. li…”

“a July 2026 peer-reviewed study comparing detectors, despite finding Pangram performed well, concluded that detector results should not be used as sole evidence in highstakes decisions which everyone always seems to ignore link.springer.com/article/10.1...”

Established Safety & security Analysis 13d ago
alignment vs safety engineering argument

We Don't Need Alignment. We Need Real Safety Engineering. - Doll's AI Takes

2 experts are actively discussing the implications.

2 experts 2 communities 2 sources clustered

“pckt.blog/b/dolls-ai-t... similar to this article”

2 experts discussed this · 4 posts
Doll: @brookie.blog pckt is nice actually
Liz Fong-Jones (方禮真): We can't rely upon luck, we need to be safe by design.
Liz Fong-Jones (方禮真): Strict liability for any damage caused by bots would go a long way
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Established AI research Resource 18d ago
⚡ 1468 h early
machine learning Wikipedia reference

Machine learning - Wikipedia

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered

“If you doubt it, you can read the wikipedia page where this is literally stated in multiple places in multiple ways. en.wikipedia.org/wiki/Machine...”

“en.wikipedia.org/wiki/Machine... literally on the wikipedia article about machine learning they discuss large language models as an application of machine learning.”

What experts are discussing without an anchoring article

8 experts · 59 posts · 20d ago
Multiple readings Policy & governance · 2 Opportunity & adoption · 1
apenwarr.ca: So far no labour saving device in the history of humanity has resulted in a long-term reduction in employment.
Liz Fong-Jones (方禮真): So far no labour saving device in the history of humanity has resulted in a long-term reduction in employment.
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6 experts · 19 posts · 11d ago
Reaction converging Questions & unknowns · 4 Concern & critique · 1
Anil Dash: What denial? It is absolutely false to say it's an inclusive place. It is straight-up a place where you're welcome to tell most of us that you want us dead. It is a place where you can be paid to p…
Anil Dash: If you think *those things are okay*, then say that. But we're not in denial. We just have standards. Say that your standards have changed from who you used to be when you didn't do business with p…
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