Bayes for arguments: how do you quantify P(E|H) when E is an argument? E.g. I present you a strong argument supporting Hypothesis H, how can you put a number on that?
His other books are also great.
that it’s reasonably for Eliezer to not think that marginally writing more will drastically change things from his perspective.
Scientific breakthroughs live on the margins, so if he has guesses on how to achieve alignment sharing them could make a huge difference.
I have guesses
Even a small probability of solving alignment should have big expected utility modulo exfohazard. So why not share your guesses?
why would a weighted step up be better and safer than a squat?
Weighted step ups instead of squats can be loaded quite heavy.
What are the advantages of weighted step ups vs squats without bending your knees too much? Squats would have the advantage of greater stability and only having to do half the reps.
Is there an aphorism regarding the mistake P(E|H) = P(H|E) ?
Suggestions:
Arbital conditional probability