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And I really want to emphasize here that the production scaling challenge is very substantial. Otherwise, you've got sort of a 70-kilogram robot that just flopped over and you got to carry it out like a body. It's one of the hardest things to solve to make an autonomous humanoid robot that can do tasks that if you simply ask it to do something or show a video, it can do the task without any programming. So we'll continue to scale, I think, very, very rapidly on — with it looks like more than 10% a week in terms of miles driven. So if you just follow the Tesla account on X, but we'll keep you informed as we scale to new cities. So we're going as fast as humanly possible in scaling robotaxi with while trying to ensure that we do not harm anyone at all and ideally do not even run over a pet. We obviously have — we're scaling up battery cell production battery cell production.

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A variant of the software that's used for the robotaxis service was shipped to customers with v14 and customers saw a huge jump in performance. In order to just learn these scaling problems without having to wait for unsupervised. Is it the safety and performance of the most recent models or is it people to monitor the robotaxis in car, or remotely? So with that in mind, we're going to move on to the next question. It's a different design problem than if you're trying to design cars for people who will be driving versus being driven. I think we cannot keep applying the same framework from a car sales model to the future, what we are trying to do. The vast majority of miles traveled will be autonomous in the future.

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And to all of what Ashok and Vaibhav, and Ashok said, we will follow with the scaling. If I look at the launches, it's been — you've been adding cities, but the number of units is still — it looks like based on media reports, spanian casino pokies sort of in the dozens as opposed to hundreds. But as Tesla always has and will continue to do, we'll let our performance speak for itself. And now we will move over to analyst questions. Optimus can learn quite a bit from observing them, perform their tasks at the factories. Ashok is joining us today, our VP of AI, and he's going to cover questions related to robotaxi.

AI6, which will follow that, aspirationally would follow that in under a year. I do think AI5 will be a very good chip. If I'm spending my Saturdays on something, it's going to be something pretty important. I spend pretty much every Saturday on this, and a chunk of every Tuesday. Do you think external chip sales will represent a significant portion of Tesla, Inc.'s valuation by the end of the decade? It was just continued work to grind down on the long tail of issues, and that's what enabled us to launch the unsupervised service in Austin. We've talked about what's constrained the fleet expansion to date, but it appears there are 200 vehicles based on public tracking. To significantly increase output from our factories.