Dylan Patel

How do models get there?

I'm not sure, right?

I think it's a fundamental research challenge.

It's why these companies need millions of GPUs to train on.

Not for, oh, I'm going to make a million GPU model, but because I need to try a bajillion different things because I don't know what will work.

What's going to work for humans is so different from what works with models.

When there's any number of parameters or things you could tweak that could end up like changing how it develops.

And how good is it at if I do it this way versus that way, right?

That's the whole point of ML research, constantly trying stuff out and trying to get better and better.

I respect you, but I know I'm way more bullish than you.

And I respect Mark Zuckerberg, but I know he might be, I don't know if he's more bullish than me, but I know Sam Altman's definitely way more bullish than me.

He says we have artificial general intelligence in less than a thousand days.

Or Dario, like I respect him immensely, but he's way more bullish than me.

My roommates, one of them's an anthropic ML researcher and one of them is another podcaster, Dwarkesh.

They're both way more bullish than I am.

Even they are not as bullish as like some researchers in this field.

But then if I go talk to someone I respect, like a famous investor,

Right?

Like any of these famous investors, I don't want to name one because I'm scared.

But there's all these famous investors, right?