Vik Singh

It's a possibility.

I mean, based on what we're seeing right now and the feedback we're getting, it feels realistic.

Yeah, so we're still in stealth mode, but we've been kind of in R&D mode for like the last...

You know, 12 to 18 months.

And, uh, I teamed up with the person, his name is Danny Ryan, and he, uh, is a big, uh, self-driving car genius, uh, who worked at Neo.

Uh, and they're obviously doing a lot of self-driving cars, their technology.

And, uh, we kind of teamed up together and.

know we were thinking about you know self-driving car technology is pretty amazing like if you you know you know 10 years ago if you told someone a car is going to drive by itself they probably think you're crazy and you know now these cars are doing it uh and uh the advances have been made

in computer vision to pull it off is pretty remarkable.

And, you know, you have companies like Google and other companies who poured billions of dollars into software and car tech.

So it's caused the technology.

Actually, those capabilities have improved as well, but really the vision.

you look at deep learning and those types of algorithms and machine learning models have been applied at large scale has really helped improve the accuracy and the safety of the self-driving project.

This was actually probably about a year ago.

So that's when we started, you know, really

writing down the code and building some infrastructure libraries.

And it's nice that we can leverage a lot of these capabilities that already exist, that kind of the big giants have been developing.

Yeah, so what we're, well, the application of what we're doing is we're not really doing self-driving car tech, right?

But what we're really interested in is the advances have been

Amazing there, but how do we take it to something else?