Ryan Kidd

That's fine too.

People of every single walk have passed through math, got hired, done other programs, got hired, founded companies, et cetera.

I think it's hard to tailor advice to a myriad of different types of people, but I would just say focus on your technical skills, focus on understanding the frontier of technology, and don't be limited by the opportunities you see on job boards.

You can create your own opportunities.

You can cold email companies.

You can apply to grant funders with just some random grant proposal you put together because it fascinates you deeply.

You can call up hiring managers and stuff.

Yeah, so I mean, we do some of the standard stuff that you would see at other tech companies, right?

Like we have CV review, we have some code signal tests, so brush up on your coding skills and so on.

And they do detect AI use.

We are, of course, considering ways to allow for tests that include AI use, but these are obviously harder, right?

They're harder to design, they're harder to check and so on.

yeah that's that's part of our general application now that's for that's for some streams i'll say this mentor selection sorry scholar selection like we're trying very hard to provide something like a service to mentors so if a mentor says to us i don't want to do cv review i don't want to do code signal i just have this selection problem that i want fellows to to applicants to work on and then like

I want you guys to help me evaluate this.

Build me like a team of contractors or some automated evaluation process to do first pass screening and then we'll go from there.

that's our favorite kind of evaluation in some way because we know that is like as close as possible to the actual job, the actual research, as we can get.

Of course, this is like typically, in Neil Nanda's case, it's like go away and do a 10-hour, you know, mech and terp kind of pseudo work test and then present your results to me.

You can use AI, do whatever, just find something interesting.

And this is great, because then we get great results.

Some other streams, it's harder to do this.