More reasoning could yield an estimated tenfold speedup when the task is to maximize the current objective.

“like there's many many good examples where if you just thought about it a bit more you would have been able to like cut down a significant on things that you've done so like mu p and like how learning rate scales with like model size and like realizing that model width is important in that as well um like i feel like you can you can really back out a lot of these things and cut off like a lot of low-hanging fruits i would imagine like a 10 times speed up if our thing is just like maximize the objective we're currently on but i don't see that how that generalizes at all to”