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So we've had a very exciting quarter. We were able to successfully launch Robotaxi, so providing our first drive with no one in the driver seat with paying customers in Austin. And as some may have noted, we've already expanded our service area at Austin. It's bigger and longer and, and it's going to get even bigger and longer. We were expecting to really greatly increase the OSM service area to well in excess of what competitors are doing. And that's hopefully in a week or so. Two weeks. Yeah, a couple of weeks. A couple weeks or so. And, and, and then we're, we're getting the regulatory permission to launch in the Bay Area, Nevada, Arizona and a number, and Florida, a number of other places. So as we get the approvals and we prove out safety, then we'll be launching autonomous ride hailing in most of the country. And I think we'll probably have autonomous ride hailing in like half of the population of the US by the end of the year. That's, that's least that goal. Subject to regulatory approvals. I, I, I think we'll technically be able to do it. So considering we have regulatory approvals, it's probably addressing half the population of the US by the end of the year. But we are being very cautious. We don't want to take any chances and so we're going to go cautiously. But the service areas and the number of vehicles in operation will decrease at a hyper exponential rate. So add some other notable things. Model Y in June became the best selling car in Turkey, Netherlands, Switzerland and Austria. It is I believe the best selling car of any kind in the world still and autonomy is a, is a big factor there. So even without, even absent, even without supervised, even with just supervised self driving, it's a huge selling point and it's worth noting that we do not actually yet have approval for supervised FSD in, in Europe where we'll, so our sales in Europe we think will improve significantly once we are able to give customers the same experience that they have in the U.S. this is, this is I think a very important point to convey and we've been working with bank country regulator which is the Netherlands and I think we're close to getting approval of the Netherlands then instead of going to the eu. It's quite a, you know, Kafkaesque in fact. Kafka. No idea. That's something that the EU could says beyond Kafka challenges with bureaucracy. But it will, we will get the approvals and I, I think we'll get you know, some people in Europe will have experience similar to that the US in most of Europe, you know, this year, hopefully at least partially in this quarter. And then we also had some regulatory challenges in China which we're hoping to unblock shortly where we. Because we also cannot provide supervised FST in China currently we don't unblock that suit. And that's also, that's another major. It really is the single biggest demand. Right. And then within the US as, as we are confident about safety in different geographic areas will loosen up on how much somebody has to be laser focused, have their eyes laser focused on the road. That's been a common complaint. In fact it does create an odd safety issue where people will sometimes disengage autopilot, then do something, change the radio or maybe look at the phone drive, was there a knee? And then re engage autopilot which obviously is less safe than simply keeping autopilot on. So anyway that experience will improve in the next several weeks because we're focused on Austin with no one driver seat. The production release of Autopilot is actually several months behind what people experience a robotax in Austin. So now we have the robotags that Austin launched will be provide adding back those elements so that there will be a step change improvement in the autopilot experience for people outside of Austin. This is really as you can tell, this is very much sort of autonomy is the story. Like we need the physical product without which you cannot have autonomy. But once you have a physical product you need the autonomy is what amplifies the value to stratospheric levels. You also launched the Tesla Dyna which has been a huge hit. It actually got worldwide attention which is unusual for a diner. Diners don't typically get headline news around Earth, but this is a pretty special diner and if you're in the LA area it's worth visiting. It's sort of a shiny beacon of hope and. But otherwise sort of leak open landscape frankly. So really quite, quite a lovely experience. Great job by the team there. Up on the full self driving front. Continue talking about that. We have, we're continuing to make significant improvements just with the software. So the. We're expecting to increase the parameter count actually at this point I think we think we can probably 10x the. Almost 10x the parameter. Yeah, roughly, roughly 10x the parameter count. So this is actually a very tricky thing to do because as you increase the parameter count you get some choke on memory bandwidth. But we currently think we can 10x the parameter count from what people are currently experiencing. So not just 4x actually 10x increase in parameter count and yeah, so still a lot of improvement on the existing hardware to happen. Energy is growing really well. Despite headwinds from tariffs and spare supply chain challenges. The Megapack is expanding nicely quickly and we have upgrades to the Megapack that will make it even better. And we have record power multiplied rates of data Q2 somewhere. I think batteries are just going to be a massive thing. The scale of battery demand is, I think not that many people appreciate just how gigantic the scale of battery demand is. The way to think about it is that the US sustained power output of the US grid is around 1 terawatt, but average usage is less than half a terawatt. If you add batteries to the mix, you can run the power plants 24. 7 at full capacity, thus doubling more than doubling the energy output per year of the United States just with batteries. But that's again, big deal. It's a really big deal. Optimus. So we're revolving the Optimus design and really getting Optimus to the point where it is a phenomenal design. So for an Optimus version two, right now, sort of two and a half. Optimus 3 is an exquisite design in my opinion and it will be an incredible, as I've said many times before, I predict it, it will be the biggest product ever. It's a very hard problem to solve. You have to design every part of it from physics first principles. There's nothing that's off the shelf that actually works. So you're going to design every motor, gearbox, power electronics, control electronics, sensors, the mechanical elements. We've also got to train the Optimus to use its limbs and its sensors with a neural net. But we'll be applying the same techniques we've applied for a car, which is essentially a four wheel robot and Optimus is a robot with arms and legs. So the same principles that apply to optimizing AI inference of the car apply to Optimus because they're both really robots in different forms. And Tesla. It is important to know that Tesla is by far the best in the world at real world AI. Like a clear proof point that would be if you compare it to Tesla, to Waymo. Waymo's got, you know, the car is festooned with God knows how many sensors. And yet isn't Google good at AI? Yes, but they're not good at real world AI Thus far the Tesla is actually much better than Google by far and much better than anyone at real world. And by far Tesla has the best inference efficiency. Like I think a key Program for AI is what is the intelligence per gigabyte? People talk about parameters, blah, blah, blah, but I think for sure start talking about parameters until about gigabytes. Because with parameters you can have 4 bit parameters, 8 bit parameters, 16 bit parameters, but the actual constraints in the hardware are how many gigabytes of RAM and how many gigabytes per second can you transfer from ram. Therefore, it is not a parameter constraint. There's. It is, there's a byte constraint. And Tesla has the highest intelligence density of any AI by far. And I have a lot of insight into this with, with Xai. Xai is, you know, Grok is the smartest AI overall, but it's a, you know, GRO4 is a giant beast. They're sort of at the terabyte level and so kind of a important to note, Tesla has the best intelligence density. Intelligence density will be a very big deal in the future. It is not so with Optimus 3, which is really the right design. It's like it doesn't have at this point. There's no significant, significant flaws with the Optimus 3 design, but we are going to retool a bunch of things. So it's going to probably be prototypes of Optimus 3, Endless Year, and then scale production. Next year we're going to try to scale Optimus production as fast as it's seemingly possible to do so. Try to get to a million units a year as quickly as possible. Do you think we get there in less than 5 years? 20 smooths? I guess that's a reasonable aspiration. Units a year, five years. It seems like in conclusion, so far, 2025 has been for exagger. A lot of major milestones made clear, logical progress in autonomy that a lot of naysayers said we would not achieve. But it's worth noting that we have done what we said we were going to do. I mean, we're always on time, but we get it done. And our naysayers are sitting there with egg on their face. So great, great, great progress by the TESL team. Yeah, I do think if Tesla continues to execute well with big autonomy and the human robot autonomy, it will be the most valuable company in the world. It's a lot of execution between here and there. It doesn't just happen. Provided we execute very well, I think Tesla has a shot at being the most valuable company in the world. Obviously, I'm extremely optimistic about future of the company. Best way to predict the future is to make it happen. And we're making it happen here as a team. So I'D just like to say thanks to one of our supporters and I think we're going to tell you an incredibly exciting future. I think it'll be available for personal use by the end of this year in certain geographies. We're just being very careful about it and we're just being extremely paranoid. But I'm confident that by the end of this year, within a number of Cities in the US it'll be available to end users. The Optimus 3 design, as I mentioned earlier, is, I think, finally the right design. They'll wait for the optimizations, but there are, I think there are fundamental changes to that are needed for the Optimus 3 design. It has all the degrees of freedom that you really want or need. So it's, you know, I'll have prototypes of that and, I don't know, three, three months and it's really in production. We'll simply start production on that in the beginning of next year. The production ramp. Simple. It's always not going to predict the S curve of your production ramp when something has got an entire. When everything is new, because the rate of production will move as fast as the least lucky and least confident element of the entire supply chain, as well as internal processes. So the more new stuff that is in a product, the slower the ramp can be because of unexpected supply chain interruptions or mistakes made internally. Especially easier to predict sort of the end of the S curve or late in the S curve than the beginning of the S curve. And the beginning of the S curve of the production run is, in any case, not really material for revenue focuses. The beginning of the S curve, you're usually yours negative gross margin, and you're debugging a lot of issues. So that's why I feel like fairly confident predicting things or at least medium confident in predicting where we are in five years. But it's hard to predict where we are in a year or two years. So that's why I think five years, I think we could be at the. Let me put this. I'd be surprised if at the end of five years, you know, 60 months from now, if we are not roughly making 100,000 Optimus robots a month in 60 months, I would be shocked. I think, obviously, you know, we're a publicly traded company. Shareholders are welcome to put forward any shareholder proposals that they'd like to. I've recently encouraged that. And then have shareholders vote and will act in accordance with the shareholder wishes. Great. Yeah. There's a lot of exciting things happening in the design studio. It's not like static. And really what's going to happen over the next several years is a fundamental transformation of the company from a pre autonomy world to a post autonomy. And I'm working on a near master plan to articulate that. And you know, there will be some teething pains as you, as you transition from pre autonomy to a post autonomy world. But I think that the future of Vision Tesla is incredibly exciting and will profoundly change the world in a good way. Please sound like hype or whatever, but I think, well, let's just say if we execute on that plan effectively, which is have to actually do that puzzle, will be the most valuable company in the world by far. Dojo 2. We expect to have Dojo 2 operating at scale sometime next year with scale being somewhere around 100k, a 100 equivalent and AI5, which is really, it's spectacular, to use those words, likely Spectacular to the AI5 chip. Hopefully be buying production around the end of next year. That has a lot of potential. I think, you know, thinking about Dojo 3 and the AI6 inverse chip, it seems like intuitively we want to try to find convergence there where it's basically the same chip that is used where you say two of them in a car or an Optimus and maybe a larger number on a board, a kind of 512 on a board or something like that. If you want high bandwidth communication between the chips at a force serving a burn survey, that sort of seems like intuitively the sensible way to go. Yeah, well the, the Cyber Cab which is really optimized for autonomy that I think has got probably sub 30 cent per mile potential over time 825. It's really like if you design a car from scratch to be a cost optimized robotic taxi like Cybercap, you know, like for example, we're not trying to make it, you know, corner like a, like incredibly well like Model 3 would or Model S or even Model Y like it's got model all about. All of our cars that are driven by people are super fun to drive. They've got incredible acceleration, you know, the incredible cornering capability. But we're confident that very few people in a cybercap want to be huddling around. So you know, so we were, we reduced the top end speed which means we can use more efficient tires. We don't need as much acceleration, we don't need as much, you know, big brakes. We won't want stopping distance. But we're not expecting it to be heavily used. It's a gentle ride essentially. If you design it for A gentle ride and then you, you have a much more optimized design point. So that's why it seems probably achieve that. Especially if Optimus is serving, cleaning up the car and doing maintenance and stuff. It's doing automatic charging so I think it's going to. The actual cost per mile of Cybercap will be very low. The cost for our existing fleet will be higher but still very competitive. So maybe some over 50 cents, I'm just guessing. Yeah. So this really philosophy fleet will go from tiny to gigantic in terms of operations in pretty short period of time. Like my guess is it has a material impact on our financials around the end of next year. Yeah, that is a major conservative as I've mentioned in the past and I hope that is addressed at the upcoming shareholders meeting. But yeah, it is a big deal. I want to find that I've got so little control that I can easily be ousted by activist shareholders after having built this army of human robots. I think that as I mentioned before, I think my control of a Tesla should be enough to ensure that it goes in a good direction, but not so much control that I can't be thrown out if I go crazy. Yeah, it's been a tough thing because like when we're doing AI day we find that some literally done a frame by frame examination of our slides, everything we say and they copy us. So you know, I'll say like what's the trail? We're. It does help with recruiting but then competitors look very closely and copy us. I mean that said we should probably, I mean I guess we could consider the shareholder beginning to be sort of an. We can do. We can maybe go into depth, some slight amount of depth at the annual shareholder meeting with respect to Optimus and AI and sort of our chip stuff perhaps. Yeah. Tesla's also really underrated in terms of AI chip design as well as AI software. So like there's still not a chip that we would that exists that we would prefer to put in our car. That is an AI chip that we would prefer to put in the car over our own, even though it's been now out for several years. And we're confident that the AI chip will be a profound game changer. In fact, it's so powerful that we'll have to nerf it for some degree for markets outside of the earrings because it flows way past the export restrictions. So unless export restrictions change, we actually will have to nerf our AI5 chip kind of where hopefully we keep raising the bar on explore restrictions. Otherwise it gets a Bit silly. We'll have a bunch of Optimus robots on stage at the shareholder meeting. The Optimus Lab is cool to see. It looks like. It basically looks like the center Westworld robots in various stages. Some of them are, you know, in various stages of repair, like, I don't know, some combination of, like the tattooing junkyard and the. And west walls. It's very cool. And Optimus is walking around the office here in palo alto. The 247 is just walking around, like, small. I think. I'm so optimistic. You know, the Tesla died or something. Bug born. Yeah. So it's. We'll go from a world where robots are rare to where they're so common that you don't even look up. We haven't really thought hard about that, but we need to make sure it works when the vehicles are fully under our control. And yeah, it's kind of one step at a time here. We don't want to jump the gun. As I said, we're being paranoid about safety. So. So it's like. But I guess. I guess like next year is. I'd say confidently next year. I'm not sure when next year, but confidently next year, people would be able to add or subtract their car to the Tesla fleet. It's like an Airbnb or just. Well, as soon as there is a clear cash flow stream associated with any. Any product that you can define. Most people still don't know. Yeah, the master of people don't know it exists. And it's still like half of Tesla owners who could use it haven't tried it even once. They. They don't actually realize, obviously, this is something we want to educate them on. So we've got to. When they come in for service, we'll reach out to them, send them, like, videos of how to make a woke. And most much it's so. It's such a shocking thing. They don't think a car is capable of this. So you have to. You show them and. And get them comfortable with turning it on and off. It's so trivial, but it's, you know, it's like saying you've got a cat there to sing and dance, but it just looks like an old cat until you see the cats sing a dance and talk like your SEO is just a cat. That's Tesla. Yes. Encore is intelligent. Well, we're in this, like, weird transition period where we will lose a lot of incentives in the US A lot of incentives actually, in many other parts of the world, but we'll lose them in the US and across all of the. At the relatively early stages of autonomy. On the other hand, autonomy is most advanced and most available from a regulatory standpoint in the U.S. so, I mean, does that mean, like, we could have a few rough quarters? Yeah, we probably could have a few rough quarters. I'm not saying we will, but we could, you know, Q4, Q1, maybe Q2. But once you get to autonomy at scale in the second half of next year, certainly by the end of next year, I think the. I'd be surprised if Tesla's economics are not very compelling because lick the cat out of the bag there, dancing cat that can sing, dance, but it can talk and sing and dance. But that's the cool part. Yeah, I mean, fundamentally, the biggest obstacle remains that people just don't have. Some people don't. The desire to buy the car is very high. Just people don't have enough money in their bank account to buy it. Literally, that is the issue. Not a lack of desire, but a lack of ability. So the more affordable we can make the car, the better I think it's going to be. It will be a very big deal when people can release their car to the fleet and have it earn money for them, which, like I said, I think I feel confident in saying that'll happen next year in the us at least in the US where we're legally allowed, you know, appropriate disclaimers and that'll make the affordability dramatically greater. Just like, you know, if you have Airbnb and you ran out your, your home when you're not there, or ran out of a guest room or guest house or something like that, your. The affordability of your home is much greater. Well, well, they are doing different things here. So, you know, the XCI is doing like, you know, terabyte scale models and multi terabyte scale models. You know, Tesla's 100 times smaller models. So one's real world AI and one's kind of, I guess, artificial superintelligence type of thing. The, I mean, really kind of the genesis for XAI was that there, there, there were certain people who simply would not join Tesla. AI engineers because they wanted to work on asi, they would join Tesla. And I was like, well, maybe they'll join a new company. And now I think the Tesla bomb is extremely important, but not everyone agrees with me on that. And so rather than have them join, you know, OpenAI or Google or whatever, some other company, it's like as well have them create a company in that regard. Right? Which is like saying I. So that's, you know, and, you know, people can make a decision. Do they want to work on like super intelligence data center or real world AI? They're both compelling problems, but some people want to work on one, some want to work on the other.