I think there are big gains to accuracy that cost little creativity. Even just "Be interested in whether you're wrong" is a huge step up
-
-
Replying to @juliagalef @willwilkinson and
As an individual I expect I'd mostly agree. But collectively I'd probably disagree. A lot of important truths come from v. irrational ppl.
3 replies 0 retweets 2 likes -
Replying to @michael_nielsen @willwilkinson and
Michael, do you have examples of truths arrived at through irrationality?
7 replies 1 retweet 2 likes -
Replying to @juliagalef @willwilkinson and
An example I've mentioned before: Feynman, on the need to convince yourself of things which aren't true to make progress:pic.twitter.com/s9iRHMipjr
1 reply 1 retweet 7 likes -
Replying to @michael_nielsen @willwilkinson and
Yeah, I do think that "psyching yourself up" thing is an interesting edge case, kind of like suspension of disbelief to enjoy a movie...
3 replies 0 retweets 3 likes -
Replying to @juliagalef @michael_nielsen and
I know lots of ppl who do this well, & it might be crucial if our motivational systems can't run on EV alone! But it feels like an edge case
1 reply 0 retweets 2 likes -
Replying to @juliagalef @michael_nielsen and
i.e., temporary irrationality over the question, "How promising is my current project / line of inquiry?" feels like an edge case
1 reply 0 retweets 2 likes -
Replying to @juliagalef @willwilkinson and
It's v. important in lots of science. In that example, Feynman is talking about believing something false for years, as his "edge"
2 replies 0 retweets 3 likes -
Replying to @michael_nielsen @willwilkinson and
Huh maybe we're just talking about different things: "innovation" is one project and "evaluation" is another, and I'm thinking of the latter
1 reply 0 retweets 4 likes -
Replying to @juliagalef
I'm not sure. I think the examples you give, perhaps AI risk especially, are ones where we're still very ignorant.
3 replies 0 retweets 0 likes
As a result, today's experts are in a situation somewhat similar to Feynman. On AI more broadly, I think there's a lot of this among experts
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.