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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5 experts · 12 posts · 11d ago
Eugene Vinitsky Daniel Lowd Eli Sennesh Phillip Carter austin
Multiple readings Questions & unknowns · 2 Policy & governance · 1
austin: I disagree w/anil on this point specifically because I do not believe AI can write non-copyleft code just as matter of legal principle. I don’t know how much it practically _matters_ but I think it…
austin: I also think that the upshot of this is that communities become more important than before, although they start to look very different. Maybe the principle of OSS starts to look more like standards…
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3 experts · 7 posts · 17d ago
Ted Underwood Daniel Lowd ae
Ted Underwood: Something not sufficiently registered in the convo around AI/IP: the value that was gained from pretraining (on our collective legacy) is now common property. People do pay more for frontier models…
Ted Underwood: People are still talking as if, say, Anthropic is able to charge for use because they found a hidden trove of 2013-era fanfiction that makes their models slightly better than the competition — and …
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2 experts · 5 posts · 7d ago
Eugene Vinitsky Daniel Lowd
Multiple readings Research & technical analysis · 1 Opportunity & adoption · 1
Eugene Vinitsky: But it’s a trap. It makes it seem as though you don’t value what you were producing, else, why would you object to more of it?
Eugene Vinitsky: This makes a lot of sense. The easiest way to maintain your existing values and goals is to operate at the same speed and so far the outcomes of alternate modes of operation seem hazy and uncertain
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