Dylan Patel

People just automatically assume they're great because they can talk the talk.

But you know how many people suck at talking and are really freaking good?

Yeah, but then you don't know.

But then there's people who talk about being able to do better than the person who's doing and like these tests are never as good.

How do you select?

And this was a big challenge for Meta.

So some of the criticisms are like, they didn't get all of the best people.

They actually got a lot of like bad people.

It's like the cope from like OpenAI and Anthropic and, you know, these kinds of companies are like, no, no, no, they didn't get our best people.

It's what Sam said, right?

He's like, they didn't get our best people.

It's okay.

Meanwhile, he did have to do counter offers internally.

As far as the process knowledge, I think the ML researchers are an extreme of how much value one can do.

But my favorite analogy that I came up with recently is that ML research is the exact same as semiconductor manufacturing in the sense of there's a ton of jobs in semiconductor manufacturing that don't exist in ML research, but it is a ton of

Tune a thousand different knobs.

Oh, you put the wafer in this tool.

You're going to change the pressure of the chamber when you're doing the deposition.

Oh, you're going to change the mix of the chemicals flowing in, which chemicals you're putting in, what speed you do it at.

Do you do it for 30 minutes?