Hemant Taneja

There's a lot of focus that needs to get on that because if it's self-driving and it's not cost effective,

Yeah, some of us will buy it, but it's never going to be a mainstream product because cost has, I mean, there's a reserve price that really shifts the demand patterns around automotive.

And you probably have good data on this as well.

We should talk about that.

But we got to get the AI right and we got to get the manufacturing costs right as well.

One of the issues in robotics is, so when you build DLLMs, you could dump them in the cloud, experiment with something called ChatGPT, and it becomes pervasive.

If you have good robotics models, what's next?

You don't have a hardware capability that's like an API infrastructure that diffuses those models fast.

So there's a lot that needs to get built.

So I actually think robotics will be slower than people think in terms of really taking hold.

But it's essential to go lead in that if you're going to lead in manufacturing and therefore have that core advantage to play up to stack in industries like automotive.

There's no other way to do it.

I'm too young for this.

You can put it on the shelf.

I don't know why you burned me with this one.

But by the way, let me remind you, like something today, just to answer your question.

Think about a lot of the eyeglass innovation that's happening.

This was with your ears.

The innovation we're trying with the eyes on how to intelligently navigate.

I think that there's so many attempts that have not worked in the last three years.