What would you advise a college student to do if the student is unusually good at math and wants to contribute to creating an aligned AGI? Beyond a computer science major/multivariable calculus/linear algebra/statistics what courses should this student take?
Lots of ML courses, and undergrad is a really good time to try to do some ML projects on your own and get good at actually making stuff work.
On the math side, seems reasonable to me to also do a bit of learning theory and a few more statistics courses (e.g. the intro grad course and maybe one or two beyond that), those may run together.
Probably also just good to spend some time thinking seriously about alignment and developing your own views / trying to make progress (even if initially it’s misguided), though without any source of mentorship on that I’d probably have it be a minority of self-directed time. If somehow you are at a place with good classes on ML alignment it’s probably worth taking, and maybe at any rate worth taking classes on other aspects of safety and ethics to learn what the landscape is like and be exposed to some adjacent problems.
What would you advise a college student to do if the student is unusually good at math and wants to contribute to creating an aligned AGI? Beyond a computer science major/multivariable calculus/linear algebra/statistics what courses should this student take?
Lots of ML courses, and undergrad is a really good time to try to do some ML projects on your own and get good at actually making stuff work.
On the math side, seems reasonable to me to also do a bit of learning theory and a few more statistics courses (e.g. the intro grad course and maybe one or two beyond that), those may run together.
Probably also just good to spend some time thinking seriously about alignment and developing your own views / trying to make progress (even if initially it’s misguided), though without any source of mentorship on that I’d probably have it be a minority of self-directed time. If somehow you are at a place with good classes on ML alignment it’s probably worth taking, and maybe at any rate worth taking classes on other aspects of safety and ethics to learn what the landscape is like and be exposed to some adjacent problems.