IIRC recently there's an AI trained in multiple disciplines that is making useful theories from cross-disciplinary correlations. Or maybe I dreamt it.

Anyway, the thinking is that humans take so long to learn that we can't master two or more disciplines, and there's useful stuff in the gaps between disciplines that's actually quite easy to discover for even a simple AI model if it can be taught enough.

It's not quite the same as extrapolating General Relativity, but it could be a case where AI advances the body of knowledge.

Isn't this the thing about productivity tools -- you can never make someone too productive. Once you've established a new baseline for productivity, they will want to be even more productive after that when new bottlenecks emerge.

So a trip down can end with a person but not an AI? How are people not all the way down?

But it's intelligent and can learn and create totally new things, remember?