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You can brute force it by making it try random stuff then judge itself on it. You don't have to always use an LLM's output. Sometimes you can use that plus othe
by hparadiz 16d ago
You can brute force it by making it try random stuff then judge itself on it. You don't have to always use an LLM's output. Sometimes you can use that plus other things to add flavor. An LLM is actually really good at judging if something is good or bad. It just has a really hard time coming up with new things. But if you had unlimited compute you can throw in some rng and whimsy and get something resembling what humans do.
- hodgehog11 11d agoYou can prove that doing this will spiral training into a fixed point. There was a lot of research into getting this to work in the past, but it never truly worked well. The hope was that if RLVR was used quite a bit, and the general performance crossed some threshold, that it would then be possible. However, since it has been shown that RLVR only concentrates the distribution of outputs rather than truly shift it, I doubt this will ever be a viable strategy.