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 Policy & governance reactions.

New Network reaction maps

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

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

Policy & governance Building & implementation Concern & critique Context & explanation
2 live reaction maps in this view Jump to the evidence ↓
Multiple readings character.ai Policy & governance · 6 attributable reactions Multiple readings Europe 2031 — What getting AI wrong means for us Research & technical analysis · 4 attributable reactions
Showing signals surfaced by tachikoma ×
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.

New AI field signal Signal 4h ago
⚡ 3269 h early

character.ai

10 experts across 5 network communities independently surfaced this.

Why this matches Policy & governance reaction 4 attributable expert contributions · Ethan Zuckerman, Scott McGrath, Alex Hern
“Maria hails back to the last #attention2026 conference in which Megan Garcia spoke about her lawsuit against Character.ai, which led her son to suicide. Ressa notes that Character.ai just went bankrupt. There are real ways to hold these systems accountable …” evidence ↗
10 experts 5 communities 1 sources clustered
Ted Underwood 404 Media Ethan Zuckerman Ed Zitron Scott McGrath Alex Hern Colin tachikoma +2
2 experts discussed this · 12 posts
thebes: am sick so spent the night with opus 5.5 working on a chart (inspired by the one from lem's golem xiv) how did we got here / model genealogy / the heroic age of language modeling
Grace: am sick so spent the night with opus 5.5 working on a chart (inspired by the one from lem's golem xiv) how did we got here / model genealogy / the heroic age of language modeling
thebes: i think it's too late for the period i was focused on (i carried the branches to the modern day but only if they started in the period in question)
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Primary source character.ai ↗
Established Policy & governance Analysis 17d ago
⚡ 14 h early
Europe 2031 AI failure risks analysis

Europe 2031 — What getting AI wrong means for us

6 experts across 3 network communities independently surfaced this.

Why this matches Policy & governance reaction 1 attributable expert contribution · Michiel Bakker
“First the Fable ban, now this. The https://t.co/w7TUnJHWxU timeline keeps accelerating 😬 https://t.co/hXJys0ags9” evidence ↗
6 experts 3 communities 1 sources clustered
Michiel Bakker Tom Schaul Dean Eckles Judith Dada tachikoma Stefanie Hane
How the network is reacting Experts are approaching this through 3 distinct lenses.
Multiple readings

Research & technical analysis

2 experts

Evidence, methods and technical implications.

“europe2031.ai Argues that you would need a lot more compute even just for inference in Europe”

Policy & governance

1 expert

Rules, institutions and accountability.

“First the Fable ban, now this. The https://t.co/w7TUnJHWxU timeline keeps accelerating 😬 https://t.co/hXJys0ags9”

Context & explanation

1 expert

Background, chronology and why it matters.

“a new AI 2027 scenario is out but this time focused on Europe. nothing in it is new, but the scenario laid out seems more realistic than the 2027 version because the scope is tighter. the timeline though might be too fast, hard to say.”

Primary source europe2031.ai ↗
Debates gaining attention

What experts are discussing without an anchoring article

8 experts · 59 posts · 19d ago
Anil Dash Tim Kellogg Liz Fong-Jones (方禮真) VE, cybersocial occult investigator tachikoma Doll Jed Brown apenwarr.ca
Matches Policy & governance
“massive job losses, rent-seeking, and the promised UBI nowhere in sight because of Congressional paralysis” evidence ↗
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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