Eh, I feel like this is a weird way of talking about the issue.
If I didn’t understand something and, after a bunch of effort, I managed to finally get it, I will definitely try to summarize the key lesson to myself. If I prove a theorem or solve a contest math problem, I will definitely pause to think “OK, what was the key trick here, what’s the essence of this, how can I simplify the proof”.
Having said that, I would NOT describe this as asking “how could I have arrived at the same destination by a shorter route”. I would just describe it as asking “what did I learn here, really”. Counterfactually, if I had to solve the math problem again without knowing the solution, I’d still have to try a bunch of different things! I don’t have any improvement on this process, not even in hindsight; what I have is a lesson learned, but it doesn’t feel like a shortened path.
Anyway, for the dates thing, what is going on is not that EY is super good at introspecting (lol), but rather that he is bad at empathizing with the situation. Like, go ask EY if he never slacks on a project; he has in the past said he is often incapable of getting himself to work even when he believes the work is urgently necessary to save the world. He is not a person with a 100% solved, harmonic internal thought process; far from it. He just doesn’t get the dates thing, so assumes it is trivial.
Having said that, I would NOT describe this as asking “how could I have arrived at the same destination by a shorter route”. I would just describe it as asking “what did I learn here, really”.
I mean, yeah, they’re different things. If you can figure out how to get to the correct destination faster next time you’re trying to figure something out, that seems obviously useful.
“Lesson overall” can contain idiosyncratic facts that you can learn iff you run into problem and try to solve it, you can’t know them (assuming you are human and not AIXI) in advance. But you can ask yourself “how would someone with better decision-making algorithm solve this problem having the same information as me before I tried to solve this problem” and update your decision-making algorithm accordingly.
Eh, I feel like this is a weird way of talking about the issue.
If I didn’t understand something and, after a bunch of effort, I managed to finally get it, I will definitely try to summarize the key lesson to myself. If I prove a theorem or solve a contest math problem, I will definitely pause to think “OK, what was the key trick here, what’s the essence of this, how can I simplify the proof”.
Having said that, I would NOT describe this as asking “how could I have arrived at the same destination by a shorter route”. I would just describe it as asking “what did I learn here, really”. Counterfactually, if I had to solve the math problem again without knowing the solution, I’d still have to try a bunch of different things! I don’t have any improvement on this process, not even in hindsight; what I have is a lesson learned, but it doesn’t feel like a shortened path.
Anyway, for the dates thing, what is going on is not that EY is super good at introspecting (lol), but rather that he is bad at empathizing with the situation. Like, go ask EY if he never slacks on a project; he has in the past said he is often incapable of getting himself to work even when he believes the work is urgently necessary to save the world. He is not a person with a 100% solved, harmonic internal thought process; far from it. He just doesn’t get the dates thing, so assumes it is trivial.
I mean, yeah, they’re different things. If you can figure out how to get to the correct destination faster next time you’re trying to figure something out, that seems obviously useful.
“Lesson overall” can contain idiosyncratic facts that you can learn iff you run into problem and try to solve it, you can’t know them (assuming you are human and not AIXI) in advance. But you can ask yourself “how would someone with better decision-making algorithm solve this problem having the same information as me before I tried to solve this problem” and update your decision-making algorithm accordingly.