As I said, I don’t think your statement was wrong, but I want to give people a more accurate perception as to how AI is currently affecting scientific progress: it’s very useful, but only in niches which align nicely with the strengths of neural networks. I do not think similar AI would produce similarly impressive results in what my team is doing, because we already have more ideas than we have the time and resources to execute on.
I can’t really assess how much speedup we could get from a superintelligence, because superintelligences don’t exist yet and may never exist. I do think that 3xing research output with AI in science is an easier proposition than building digital super-einstein, so I expect to see the former before the latter.
As I said, I don’t think your statement was wrong, but I want to give people a more accurate perception as to how AI is currently affecting scientific progress: it’s very useful, but only in niches which align nicely with the strengths of neural networks. I do not think similar AI would produce similarly impressive results in what my team is doing, because we already have more ideas than we have the time and resources to execute on.
I can’t really assess how much speedup we could get from a superintelligence, because superintelligences don’t exist yet and may never exist. I do think that 3xing research output with AI in science is an easier proposition than building digital super-einstein, so I expect to see the former before the latter.