Dylan Patel

To models, it's like picking this up is freaking hard.

Like, how much do I squeeze my pinky versus this finger versus this finger versus this finger?

I don't know.

Like, we pick up a glass of water and you tilt it and it's like, this is impossible for a model today.

And it's likely like at the level of dexterity, it fills a wine glass and I was swishing it.

Think about how simple that is.

You don't even think about it, but like you instinctually pick up a wine glass and you swish it and it lets the aroma out and you smell it.

But it's like, oh, that little swish is so much tactile feedback and movement.

And it's like, these models can't do that shit yet.

Like nowhere close, but it doesn't need to be that good.

It doesn't need to be able to swish a wine glass and not break the wine glass and put it back down and tilt it perfectly and not spill it.

It doesn't need to be able to do any of that to be tremendously valuable.

What it needs to be tremendously valuable is pick this up and put it down here after knowing what it is.

So there's so much value that can be created just by being really good at like getting data.

Yeah.

Yeah, yeah.

The robotics world is huge.

I think we're warming up.

We haven't even left the dugout, right?

Like we're like nowhere close to the scaling on robotics.