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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Showing developments with attributable Questions & unknowns reactions.

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

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Questions & unknowns
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New & accelerating

What is moving across the network now

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

New Agents & robotics Development 9h ago
⚡ 6 h early
Uber reports low AI agent booking adoption

Almost no one uses AI agents to book their Uber, company says | TechCrunch

2 directory members surfaced this signal.

Why this matches Questions & unknowns reaction 1 attributable expert contribution · Mark Riedl
“Why would people use AI to book uber trips? It’s not hard to use the UI and you get fine control of where the pickup point is. techcrunch.com/2026/11/04/a...” evidence ↗
2 experts 2 communities 1 sources clustered
Mark Riedl Pavel

“Why would people use AI to book uber trips? It’s not hard to use the UI and you get fine control of where the pickup point is. techcrunch.com/2026/11/04/a...”

Primary source techcrunch.com ↗
New AI field signal Signal 14h ago

E185d576 c4a6 4fb0 aa03 deda69c900c8

2 directory members surfaced this signal.

Why this matches Questions & unknowns reaction 1 attributable expert contribution · Mar Hicks
““Is this the big one? Is the AI bubble finally bursting?” “the fact that we’re all asking the same question yet again is very telling in itself.” www.ft.com/content/e185...” evidence ↗
2 experts 1 community 1 sources clustered
Mar Hicks Eileen Clancy 🧿

““Is this the big one? Is the AI bubble finally bursting?” “the fact that we’re all asking the same question yet again is very telling in itself.” www.ft.com/content/e185...”

Primary source ft.com ↗
New AI field signal Signal 7h ago

The unholy methods of soothsayers

1 directory member surfaced this signal.

Why this matches Questions & unknowns reaction 1 attributable expert contribution · Ben Recht
“If you can predict the future, does that mean you understand the world? The answer is no, and you can mathematically prove it.” evidence ↗
1 expert 1 community 1 sources clustered
Ben Recht

“If you can predict the future, does that mean you understand the world? The answer is no, and you can mathematically prove it.”

Primary source argmin.net ↗
New Safety & security Development 9h ago
AI model self-knowledge research

New Research Tests Whether AI Models Know Their Own Thoughts | Quanta Magazine

1 directory member surfaced this signal.

Why this matches Questions & unknowns reaction 1 attributable expert contribution · magnus919.com
“Some AI models can detect injected “thoughts” without being trained to do it. Only sometimes, but how did that ability emerge? Via @quantamagazine.org @benbenbrubaker.bsky.social I found this to be an interesting read.” evidence ↗
1 expert 0 communities 1 sources clustered
magnus919.com

“Some AI models can detect injected “thoughts” without being trained to do it. Only sometimes, but how did that ability emerge? Via @quantamagazine.org @benbenbrubaker.bsky.social I found this to be an interesting read.”

Primary source quantamagazine.org ↗
New AI research Analysis 17h ago
AI use in academia cheating discourse

What if Using AI Wasn’t Cheating?

1 directory member surfaced this signal.

Why this matches Questions & unknowns reaction 1 attributable expert contribution · Nicole Hennig
“What if Using AI Wasn’t Cheating? www.podcast.ideasandthoughts.org/episode/what-i… #AI #education” evidence ↗
1 expert 1 community 1 sources clustered
Nicole Hennig

“What if Using AI Wasn’t Cheating? www.podcast.ideasandthoughts.org/episode/what-i… #AI #education”

Primary source podcast.ideasandthoughts.org ↗
New AI field signal Analysis 20h ago
AI role in elections analysis essay

The AI Election

2 directory members surfaced this signal.

Why this matches Questions & unknowns reaction 1 attributable expert contribution · Verity Harding
““Data centre Darline” “The face of data centres” A couple of the insults thrown at their opponents by new Democrat winners. Was this the AI election? Why, and what does it mean? My latest post:” evidence ↗
2 experts 1 community 1 sources clustered
Alondra Nelson Verity Harding

““Data centre Darline” “The face of data centres” A couple of the insults thrown at their opponents by new Democrat winners. Was this the AI election? Why, and what does it mean? My latest post:”

Primary source verityharding.substack.com ↗
Debates gaining attention

What experts are discussing without an anchoring article

3 experts · 14 posts · 17h ago
ae Mary Branscombe hacks4pancakes.com
Matches Questions & unknowns
“Melbourne Australia where I hire?” evidence ↗
hacks4pancakes.com: It's so disheartening to explain this over and over working in critical infrastructure cybersecurity full time. It's because everyone demands cheap, fast remote support and AI enabled real time tel…
hacks4pancakes.com: We’ve worked ourselves into this corner through demanding connectivity and I see next to nothing truly airgapped anymore. In fact, it’s impossible to convert some critical systems back at this point.
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2 experts · 9 posts · 1d ago
sarah jeong Aram Sinnreich
Matches Questions & unknowns
“the hallucinations caused by the specific mushroom in question are not culturally dependent, you have no context for it and still end up with the same hallucinations” evidence ↗
sarah jeong: the reason i've been thinking about this again is that it's mushroom season in yunnan right now and apparently the anti-tiny people safety measures at the mushroom hot pot places are accelerating. …
sarah jeong: hospitals still full of patients seeing tiny people though
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2 experts · 9 posts · 1d ago
SE Gyges Alex Gude
Matches Questions & unknowns
“me: please do x <ten minutes later>: i did, a b and c, which are parts of x, but then didn't do d or e, which are necessary to actually finish doing x. do you want me to do x?” evidence ↗
Multiple readings Markets & investment · 1 Building & implementation · 1
SE Gyges: you can measure how badly my workday has gone by how many times i have typed "did i stutter", exactly that as a whole message by itself with no capitalization, to an llm
SE Gyges: me: please do x <ten minutes later>: i did, a b and c, which are parts of x, but then didn't do d or e, which are necessary to actually finish doing x. do you want me to do x?
Open the thread →