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But I think to your point, Jason, this hits the Uber Black and the Uber XL. And honestly, as you said, it's an incredible vehicle. So it not only hits those bars for today's current service with Uber, but I think it's going to far exceed them.
I don't think that on the technical side, if you spent time within Waymo, within Neuro, within Tesla, I don't think you're going to see a huge amount of daylight in terms of the machine learning techniques and tools that are being used.
Uber shelved their own effort. You know, Lyft had an effort. Like these are really, really capable, very strong companies that have recognized this is very difficult to do.
But I think to your point, Jason, this hits the Uber Black and the Uber XL. And honestly, as you said, it's an incredible vehicle. So it not only hits those bars for today's current service with Uber, but I think it's going to far exceed them.
But it's really those five years of driverless operation that has given us confidence and gave uber confidence that, you know, we really do have a maturity in the technology that allows us to deploy in this very, very aggressive timeline that you mentioned, which is late 2026.
it's also Apple spent billions on Titan and gave up.
And our compute is NVIDIA's Thor SOC. So we're also benefiting from, you know, the incredible scale that NVIDIA has.
And so overall, the cost per vehicle of our system, we believe, is roughly an order of magnitude less than what other full L4 players have. Now, that still makes it more expensive today than, say, Tesla's outfitting.