Q Yeah. Or watching a movie. Okay. So one of the things that's interesting is you have these original equipment manufacturers who just hand off like this chassis and people can design the hardware and they can customize, but the software customization happens at a different level. How do you think about when you have this world of transportation as a service and you're literally handing off what?
A The problem space is massive, right? Like That car needs to work in a sandstorm in Egypt and has to work in a snowstorm in Juneau, Alaska. It's massive problem space. And the challenge of an autonomous vehicle being able to navigate all of those potential areas is very, very difficult. I think the interesting aspect here is when you combine autonomous with transportation as a service, what we can do is we can slowly roll that out. We know where the start and the end of the ride is before it happens. And so what that allows us to do is really constrain that problem space. And so if it is a ride or a request in an area that we're comfortable in terms of safety, in terms of validation with the autonomous vehicle, then we'll go ahead and dispatch that vehicle. But if it's raining or a certain time of day or something else that puts the probability at some lower level that we're not comfortable with, then we just dispatch, you know, a typical traditional driver.
AI assessment note: “if it is a ride or a request in an area that we're comfortable”