It sounds pretty implausible to me, intellectual productivity is usually at its peak from mid-20s to mid-30s(for high fluid-intelligence fields like math and physics)
Although my belief was more based on anecdotal knowledge of the history of science. Looking up people at random: Einstein’s annus mirabilis was at 26; Cantor invented set theory at 29; Hamilton discovered Hamiltonian mechanics at 28; Newton invented calculus at 24. Hmmm I guess this makes it seem more like early 20s − 30. Either way 25 is definitely in peak range, and 18 typically too young(although people have made great discoveries by 18, like Galois. But he likely would have been more productive later had he lived past 20)
Einstein started doing research a few years before he actually had his miracle year. If he started at 26, he might have never found anything. He went to physics school at 17 or 18. You can’t go to “AI safety school” at that age, but if you have funding then you can start learning on your own. It’s harder to learn than (eg) learning to code, but not impossibly hard.
I am not opposed to funding 25 or 30 or 35 or 40 year olds, but I expect that the most successful people got started in their field (or a very similar one) as a teenager. I wouldn’t expect funding an 18-year-old to pay off in less than 4 years. Sorry for being unclear on this in original post.
Yeah I definitely agree you should start learning as young as possible. I think I would usually advise a young person starting out to learn general math/CS stuff and do AI safety on the side, since there’s way more high-quality knowledge in those fields. Although “just dive in to AI” seems to have worked out well for some people like Chris Olah, and timelines are plausibly pretty short so ¯\_(ツ)_/¯
This definitely differs for different folks. I was nowhere near my sharpest in late teens or early twenties. I think my peak was early 30s. Now in early 40s, I’m feeling somewhat less sharp, but still ahead of where I was at 18 (even setting aside crystalized knowledge).
I do generally agree though that this is a critical point in history, and we should have more people trying more research directions.
How do you tell that there were sharper back then?
It sounds pretty implausible to me, intellectual productivity is usually at its peak from mid-20s to mid-30s(for high fluid-intelligence fields like math and physics)
People asked for a citation so here’s one: https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.kellogg.northwestern.edu/faculty/jones-ben/htm/age%2520and%2520scientific%2520genius.pdf&ved=2ahUKEwiJjr7b8O-JAxUVOFkFHfrHBMEQFnoECD0QAQ&sqi=2&usg=AOvVaw0HF9-Ta_IR74M8df7Av6Qe
Although my belief was more based on anecdotal knowledge of the history of science. Looking up people at random: Einstein’s annus mirabilis was at 26; Cantor invented set theory at 29; Hamilton discovered Hamiltonian mechanics at 28; Newton invented calculus at 24. Hmmm I guess this makes it seem more like early 20s − 30. Either way 25 is definitely in peak range, and 18 typically too young(although people have made great discoveries by 18, like Galois. But he likely would have been more productive later had he lived past 20)
Einstein started doing research a few years before he actually had his miracle year. If he started at 26, he might have never found anything. He went to physics school at 17 or 18. You can’t go to “AI safety school” at that age, but if you have funding then you can start learning on your own. It’s harder to learn than (eg) learning to code, but not impossibly hard.
I am not opposed to funding 25 or 30 or 35 or 40 year olds, but I expect that the most successful people got started in their field (or a very similar one) as a teenager. I wouldn’t expect funding an 18-year-old to pay off in less than 4 years. Sorry for being unclear on this in original post.
Yeah I definitely agree you should start learning as young as possible. I think I would usually advise a young person starting out to learn general math/CS stuff and do AI safety on the side, since there’s way more high-quality knowledge in those fields. Although “just dive in to AI” seems to have worked out well for some people like Chris Olah, and timelines are plausibly pretty short so ¯\_(ツ)_/¯
This definitely differs for different folks. I was nowhere near my sharpest in late teens or early twenties. I think my peak was early 30s. Now in early 40s, I’m feeling somewhat less sharp, but still ahead of where I was at 18 (even setting aside crystalized knowledge).
I do generally agree though that this is a critical point in history, and we should have more people trying more research directions.