Andrej Karpathy

You could add sensors to infinity.

At some point, you need to draw the line.

And I think in this case, you have to really consider the full cost of any one sensor that you're adopting.

And do you really need it?

And I think the answer in this case is no.

I think, as you mentioned, they pre-map all the environments, and they need to refresh the map.

And they have a perfect centimeter-level accuracy map of everywhere they're going to drive.

It's crazy.

crazy how are you going to when we're talking about autonomy actually changing the world we're talking about the deployment on the on the global scale of autonomous systems for transportation and if you need to maintain a centimeter accurate map for earth or like for many cities and keep them updated it's a huge dependency that you're taking on huge dependency it's it's a massive massive dependency and now you need to ask yourself do you really need it

And humans don't need it, right?

So it's very useful to have a low-level map of like, okay, the connectivity of your road.

You know that there's a fork coming up.

When you drive an environment, you sort of have that high-level understanding.

It's like a small Google map.

And Tesla uses Google map, like similar kind of resolution information in its system.

But it will not pre-map environments to semi-level accuracy.

It's a crutch.

It's a distraction.

It costs entropy.

And it diffuses the team.