Alex Imas

And then the warehouse gets automated.

So part of that automation is going to be kind of loading that truck.

And then the truck gets loaded through automation.

And then that truck drives from A to B. That's fully automated.

Protection is actually a big deal.

Like if somebody stops it on the road, a Waymo truck, they could just stop it on the road and rob the truck, right?

That's one element.

Then that no longer is as important perhaps for that to be a human task.

Exactly.

And think about the incentives of the company to invest in this technology.

It's huge.

These are very, you know, these are some of the only jobs, truck driving, where, you know, you don't need a college degree to earn a lot of money.

And so there's a big incentive on the company.

I mean, I think everybody's looking at software engineering.

I think you have to think about where the technology works best now is verifiable tasks, right?

Where you have a lot of data where you can say this is good or bad.

Not in a supervised learning sense, but in general, it needs to be verified.

That's why math, in research, math has been the big kind of boom as far as what are people talking about on the internet as being automated.

Math is verifiable.

A proof is either right or wrong.