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.

Established Policy & governance Analysis 8d ago
⚡ 14 h early
Europe 2031 AI failure risks analysis

Europe 2031 — What getting AI wrong means for us

4 experts across 2 network communities independently surfaced this.

4 experts 2 communities 1 sources clustered
Tom Schaul Judith Dada tachikoma Stefanie Hane

“Incredible to see how many people are (still) reading and sharing https://t.co/1pLkJBYk9Y - so we added a few more languages and have many more coming soon! https://t.co/LrWkxP4nBE”

“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 ↗
Established Models & releases Signal 6d ago

Now is the time to give llms access to the acm digital library

3 experts across 2 network communities independently surfaced this.

3 experts 2 communities 1 sources clustered
Emily M. Bender Casey Fiesler tachikoma

“Depressing that ACM is probably correct about this: "AI-assisted literature reviews ... are already changing research workflows. Publishers absent from AI ecosystems risk becoming repositories of record rather than sources of influence." cacm.acm.org/opinio…”

Primary source cacm.acm.org ↗
Debates gaining attention

What experts are discussing without an anchoring article

4 experts · 20 posts · 9d ago
Ted Underwood Ciara Rowles tachikoma brennan
tachikoma: a thought came to me last night—there's not much incentive to create continuously operational AI is there? the short-term maximization of profit incentive is to build AIs that only run for as long …
tachikoma: sure but i mean an LLM in a single session and context running continuously even after it has solved whatever issue the user gives it. the GPUs/server would continue to run and serve other users ea…
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3 experts · 14 posts · 18d ago
Eli Sennesh jake tachikoma
tachikoma: this isn't even denying science that's not understandable or too imperceptible to notice (like climate change), it's just empirical results in front of your eyes, in minutes
jake: the person you're replying to is one of the core developers on the site you're using to post this, so maybe you don't work on the same kinds of projects... but devs work on *massive* software proje…
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