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> It doesn't discern between them, just looks for the best statistical fit Of course at the lowest level, LLMs are trained on next-token prediction, and on the
by qnleigh 7mo ago
> It doesn't discern between them, just looks for the best statistical fit
Of course at the lowest level, LLMs are trained on next-token prediction, and on the surface, that looks like a statistics problem. But this is an incredibly reductionist viewpoint and I don't see how it makes any empirically testable predictions about their limits. LLMs 'learned' a lot of math and science in this way.
> "truly novel" and "solving unsolved math problem"
OK again if novelty lies on a continuum, where do you draw the line? And why is it correct to draw it there and not somewhere else? It seems like you are just naming exceptionally hard research problems.
- coldtea 7mo ago>LLMs 'learned' a lot of math and science in this way. Did they? Or is it begging the question?
- qnleigh 7mo agoThis is why I put 'learned' in quotes. They started from a state of not being able to solve algebra problems or produce basic steps of scientific reasoning to being able to. Operationally, that is what I mean by learning and they unambiguously do it.