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 Opportunity & adoption reactions.

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The developments commanding sustained expert attention

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New Culture, work & education Signal 20h ago

ChatGPT: Grading artificial intelligence's writing

1 directory member surfaced this signal.

Why this matches Opportunity & adoption reaction 1 attributable expert contribution · Jane Rosenzweig
“Just went back and looked at the segment and it's amazing how new ChatGPT was--it was all like, look, this thing can write text. www.youtube.com/watch?v=2MZs...” evidence ↗
1 expert 1 community 1 sources clustered

“Just went back and looked at the segment and it's amazing how new ChatGPT was--it was all like, look, this thing can write text. www.youtube.com/watch?v=2MZs...”

What experts are discussing without an anchoring article

3 experts · 48 posts · 22h ago
Matches Opportunity & adoption
“These are some pretty wild and amazing technologies, but I think the boundaries around agency and voice and intent are definitely made more wiggly. That said, I could see the OP also having had a f…” evidence ↗
Multiple readings Policy & governance · 1 Building & implementation · 1 Questions & unknowns · 1
Grace: AI writing, unfortunately
Grace: What do we do about this? Substack lets you check for AI with pangram, but it doesn’t show a label upfront. I assume if it started doing that authors would optimize against it. Maybe build it into …
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4 experts · 9 posts · 18h ago
Matches Opportunity & adoption
“That’s fantastic! I had been feeling pretty good about it too lately, just some recent events made me feel the skew very strongly.” evidence ↗
Multiple readings Markets & investment · 1 Questions & unknowns · 1
Eugene Vinitsky: I am very often now in rooms with a lot of senior robotics or ML folks and it’s always just men. Men men men. A sea of men. It sucks! We should be very ashamed.
Eugene Vinitsky: And then of course, we should subsequently do the work of remedying this.
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3 experts · 8 posts · 23h ago
Matches Opportunity & adoption
“That they emit interesting outputs when prompted for them, and can be installed into a "harness" program that can put them in a feedback loop by which they can perform certain useful tasks on a com…” evidence ↗
Multiple readings Concern & critique · 1 Opportunity & adoption · 1
rev. howard arson: i do think that one intuition pump is "how does a coding agent's relation to code after RLVR differ conceptually from a sensorimotor representation."
Eli Sennesh: Yes?
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