Dmitri Dolgov

Okay, so I get into my car, there's three main families of sensors, LiDAR, radar, and cameras.

And then it is using that to first build a model of what's going on in the world, you know, where are all the other cars and things like that.

And then you say, make decisions and then actuate that with the cars.

That is the system that you're living in.

And is all that inference done locally or presumably yes, nothing's in the cloud?

So that's one example of something that... There are all these debates that go on on Twitter around self-driving.

So I can think of, you know, end-to-end versus the more kind of modular approach.

There's cameras only versus array of sensors.

And I can't tell...

are these debates actually interesting to an expert in the field?

Or do you think these are just settled matters and they're just grist for the algorithm?

I understand where the questions are coming from.

Okay, and these are all downstream of the same foundation model?

That's right.

Yes.

You started working on self-driving 20 years ago.

As you think about the tech evolution,

Is this just a scaling laws story where we had to be able to throw enough compute at it?

Were there architectural approaches we needed to wait to have be invented?

Was it just a story of we needed 20 years of going down the wrong cul-de-sacs before we eventually arrived at the right approach?