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.

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Showing developments with attributable Context & explanation reactions.

New Network reaction maps

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

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Context & explanation Questions & unknowns Research & technical analysis
2 live reaction maps in this view Jump to the evidence ↓
Multiple readings What will be left for us to work on? Questions & unknowns · 4 attributable reactions Shared emphasis No More Muddling Through Context & explanation · 2 attributable reactions
Showing signals surfaced by Nicole Hennig ×
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The developments commanding sustained expert attention

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

Established Culture, work & education Analysis 5d ago
AI future of human work essay

What will be left for us to work on?

6 experts across 3 network communities independently surfaced this.

Why this matches Context & explanation reaction 1 attributable expert contribution · Ted Underwood
“Thanks for that summary. It aligns very well with this text, which @sgray.bsky.social posted earlier today. (It might be a little better or fuller than Arvind's own overview at the top!) I really like the argument.” evidence ↗
6 experts 3 communities 1 sources clustered
Melanie Mitchell Arvind Narayanan Ted Underwood Michiel van de Panne Nicole Hennig Stephen Turner
How the network is reacting Experts are approaching this through 3 distinct lenses.
Multiple readings

Questions & unknowns

2 experts

What remains unresolved or contested.

“What will be left for us to work on? www.normaltech.ai/p/what-will-be… #AI #work #future #change”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“This is one of the central points in my ICML keynote, with a lot of detail — see part 2. https://t.co/Lwsr0sUZfR Note: I take RSI seriously! One of our big empirical projects is evaluating agents' ability to do open-ended AI research. But it doesn't imply m…”

Context & explanation

1 expert

Background, chronology and why it matters.

“Thanks for that summary. It aligns very well with this text, which @sgray.bsky.social posted earlier today. (It might be a little better or fuller than Arvind's own overview at the top!) I really like the argument.”

7 experts discussed this · 18 posts
Ted Underwood: Can anyone who was there report the answer?
Maria Antoniak: Can anyone who was there report the answer?
David Picard: Hopefully nothing so that we could all get some nice vacations
Open the full discussion →
Primary source normaltech.ai ↗
Established Models & releases Analysis 9d ago
generative history muddling through essay

No More Muddling Through

2 directory members surfaced this signal.

Why this matches Context & explanation reaction 2 attributable expert contributions · Mark J. Nelson, Nicole Hennig
“An observation this piece makes I hadn't quite considered: recent cohorts of university students shared a lot of pre-pandemic, pre-LLM context with profs because they'd also "planned to go to university in a different time and then the world changed around …” evidence ↗
2 experts 2 communities 1 sources clustered
Mark J. Nelson Nicole Hennig
How the network is reacting 2 experts are emphasizing context & explanation.
Shared emphasis

Context & explanation

2 experts

Background, chronology and why it matters.

“An observation this piece makes I hadn't quite considered: recent cohorts of university students shared a lot of pre-pandemic, pre-LLM context with profs because they'd also "planned to go to university in a different time and then the world changed around …”

Primary source generativehistory.substack.com ↗
New AI field signal Analysis 18h ago

TypeSafe JEV Explained: AI Decisions Without a Chatbot

1 directory member surfaced this signal.

Why this matches Context & explanation reaction 1 attributable expert contribution · Nicole Hennig
“TypeSafe JEV Explained: AI Decisions Without a Chatbot www.theneuron.ai/explainer-arti… #AI #Jev #decisions” evidence ↗
1 expert 1 community 1 sources clustered
Nicole Hennig

“TypeSafe JEV Explained: AI Decisions Without a Chatbot www.theneuron.ai/explainer-arti… #AI #Jev #decisions”

Primary source theneuron.ai ↗