Ian Dunning

They've added people at a vast rate and the culture has shifted, especially at some of the labs, a lot and to our favor now.

For a while it did feel like we were in a very very fierce competition and now maybe it's now it's maybe more even playing field but I don't know I talked to a lot of undergrads and They don't feel great about the future.

I mean, I think the first thing is just

trying to embrace an open book philosophy like let the interviews be done with the aid of AI is something we're trying to aspire to do because it's just at some point you become it becomes unrealistic to pretend anyone would work without that.

One of the big things in quantum is being like there's this like archetype of like the math theorist or the string theorist or something and they go in to Long Island somewhere and they come out with alpha.

But you know like our experience has been a little bit more mixed because it's like if you can't implement your ideas how do you

How does that happen exactly?

Well, now Claude can presumably implement the ideas.

So trying to embrace that, maybe we do accept more theorists, more dreamers, people who can come up with ideas, trusting that the implementation work can be done by AI.

So I think that's our shift.

But I've been joking.

It's like the word cell versus shape rotator type.

I feel like the error of the word cell may be a bonus.

Prompt engineering is kind of a boomer term at this point.

But there is something to be said for describing what you want clearly and without confounding factors.

And that is a skill that can be learned and is not evenly distributed in the population.

And I would argue that it's shot up in value simply because of AI.

So I like to think of myself as one of these people, though.

So that could be the delirium talking.

I don't know.