Dylan Patel

I think we've thrown the first ball.

I think my favorite thing, my brother just had a baby.

He had his third month birthday like a couple days ago.

I'm gonna go see him in another week.

But like this baby will literally stick his hand in his mouth.

He's like calibrating the senses on his fingers by sticking his hand in his mouth because his tongue is the most sensitive thing.

He doesn't know he's doing it, but like that's how he's calibrating.

He's like, oh, that's me.

Oh, I can touch and feel, right?

And it's like, how does the model learn these sorts of things, right?

It's like, you just have to try stuff and fail.

And we're so, so early.

Think about how much we see throughout our life and how much of that information we throw away.

We throw all of this information away.

Do I remember what I had for lunch yesterday?

No, but if it was amazing or bad, I would have remembered that, oh, I don't like this or I like this, right?

There's all this information we throw away and these models, these environments are

yeah, we're generating tons of data and throwing most of it away and training the model, but it's like infinitesimal compared to what humans have done.

And so I think there's so many environments you can put the model in.

There's people who even think you don't get to the magical AGI until you embody it, i.e.