I read the post as attempting to be literal, ctrl+F-ing “analog” doesn’t get me anything until the comments. Also, the post is the one that I read as assuming for the sake of analysis that humans can solve all problems in P, I myself wouldn’t necessarily assume that.
I mean, I assumed what I needed to in order to be able to do the proofs and have them make sense. What the proofs actually mean in practice is obviously up for debate, but I think that a pretty reasonable interpretation is that they’re something like analogies which help us get a handle on how powerful the different proposals are in theory.
What the proofs actually mean in practice is obviously up for debate, but I think that a pretty reasonable interpretation is that they’re something like analogies which help us get a handle on how powerful the different proposals are in theory.
I’m curious if you agree with the inference of conclusions 1 and 2 from premises 1, 2, and 3, and/or the underlying claim that it’s bad news to learn that your alignment scheme would be able to solve a very large complexity class.
I agree with the gist that it implies that arguments about the equilibrium policy don’t necessarily translate to real models, though I disagree that that’s necessarily bad news for the alignment scheme—it just means you need to find some guarantees that work even when you’re not at equilibrium.
I mean, I assumed what I needed to in order to be able to do the proofs and have them make sense. What the proofs actually mean in practice is obviously up for debate, but I think that a pretty reasonable interpretation is that they’re something like analogies which help us get a handle on how powerful the different proposals are in theory.
I’m curious if you agree with the inference of conclusions 1 and 2 from premises 1, 2, and 3, and/or the underlying claim that it’s bad news to learn that your alignment scheme would be able to solve a very large complexity class.
I agree with the gist that it implies that arguments about the equilibrium policy don’t necessarily translate to real models, though I disagree that that’s necessarily bad news for the alignment scheme—it just means you need to find some guarantees that work even when you’re not at equilibrium.