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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What experts are discussing without an anchoring article

4 experts · 46 posts · 19h ago
Pwnallthethings Liz Fong-Jones (方禮真) Phillip Carter Doll
Matches Research & technical analysis
“we can go back and forth on the IP rights, whether there is a moral right to prevent training, but on the destructive scanning? I can confirm as an industry insider it's SOP.” evidence ↗
Multiple readings Concern & critique · 1 Policy & governance · 1 Context & explanation · 1
Liz Fong-Jones (方禮真): literally these are books that would be pulped if not bought for 10 cents on the dollar. do rare books sometimes make it into there? yeah, if someone is careless, but that's *upstream* of what happ…
Liz Fong-Jones (方禮真): I literally worked on Google Books scanops SRE, ama the same guy who ran Google Books now has the equivalent job at Anthropic and I can promise you that all of us handled every library book with th…
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5 experts · 30 posts · 10h ago
Ted Underwood Hagen Blix Matthew Kirschenbaum Dave Parisi René Walter
Matches Research & technical analysis
“Say, we trained a transformer on literally just all the RGB codes within the actual training data of the web. We would be perfectly happy to say that the thing approximates a distribution of RGB co…” evidence ↗
Multiple readings Concern & critique · 2 Building & implementation · 1
Matthew Kirschenbaum: Deep Thoughts on the Current AI Discourse. 🧵: 1. I don’t think robots are on the verge of going rogue and murdering us all in our digital sleep. My p-doom is low. Note that this is separate from th…
Matthew Kirschenbaum: 2. I do think it’s possible (mathematically, scientifically, phenomenologically, what-have-you) for large complex systems to evolve emergent behaviors n that are weird, unplanned, unpredictable, an…
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