It might be worth separating the claim "Eliezer is wrong about what changes he, personally, should try" from the claim
"It is generally good to try many plausible changes, because:
The second claim seems fairly clearly right, at least for some of us. (People may vary in how easily they can try on new approaches, and on what portion of handed-down approaches work for them. OTOH, the ability to easily try new approaches is itself learnable, at least for many of us.) The first claim is considerably less clear, particularly since Eliezer has much data on himself that we do not, and since after trying many hacks for a given not-lightcone-destroying problem without any of the hacks working, expected value calculations can in fact point to directing one’s efforts elsewhere.
Maybe we could abandon Eliezer’s specific case, and try to get into the details of: (a) how to benefit from trying new approaches; and (b) what rules of thumb for what to try, and what to leave alone, yield high expected life-success?
One more reason for the list is that doing new stuff (or doing stuff in new ways, but I repeat myself) promotes neurogenesis.
Reply to: Practical Advice Backed By Deep Theories
Inspired by what looks like a very damaging reticence to embrace and share brain hacks that might only work for some of us, but are not backed by Deep Theories. In support of tinkering with brain hacks and self experimentation where deep science and large trials are not available.
Eliezer has suggested that, before he will try a new anti-akraisia brain hack:
This doesn't look to me like an expected utility calculation, and I think it should. It looks like an attempt to justify why he can't be expected to win yet. It just may be deeply wrongheaded.
I submit that we don't "need" (emphasis in original) this stuff, it'd just be super cool if we could get it. We don't need to know that the next brain hack we try will work, and we don't need to know that it's general enough that it'll work for anyone who tries it; we just need the expected utility of a trial to be higher than that of the other things we could be spending that time on.
So… this isn't other-optimizing, it's a discussion of how to make decisions under uncertainty. What do all of us need to make a rational decision about which brain hacks to try?
(can these books be judged by their covers? how does this chance vary with the type of exposure? what would you need to do to understand enough about a hack that would work to increase its chance of seeming deeply compelling on first exposure?)
… and, what don't we need?
How should we decide how much time to spend gathering data and generating estimates on matters such as this? How much is Eliezer setting himself up to lose, and how much am I missing the point?