who welcome to Tesla's third quarter 2024 Q&A webcast. My name is Travis Vaxlerad, head investor relations, and I'm joined today by Ewan Musk, Bebop Tenetia, and a number of other executives. Our Q3 results were announced at about 3 p.m. Central Time, and the update deck we published at the same link as this webcast. During this call, we will discuss our business outlook and make forward-looking statements. These comments are based on our predictions and expectations as of today. Actual events or results could differ materially due to a number of risks and uncertainties, including those mentioned in our most recent filings from the SEC. To end the question and answer portion of today's call, please limit yourself to one question and one follow-up. Please use the raise hand button to join the question queue. Before we jump into Q&A, Ewan has some open earmarks. Ewan? Thank you. So, to recap, someone is saying, something that would have been the history of saying you're over your declines in one of volumes in Q3, Tesla at the same time has achieved record deliveries. In fact, I think if you look at EV companies worldwide, to the best of my knowledge, no EV companies even profitable. And I'm not tied to the best of my knowledge. There was no EV division of any company, of any existing order company that is profitable. So it is notable that Tesla is profitable despite the very challenging one amount of environment. And this quarter actually is a record Q3 for us. So we produced our 7th-million vehicle actually just yesterday. So congratulations to the teams that made it happen in Tesla. That's the staggering the events amount of work to make 7 million cars.
So, to see, we also have an interesting story for us is growing like wildfire with strong demand for both Meg and Powerwall. And as people know, on October 10th, we laid out a vision for an autonomous analytic future that I think is very compelling. So the Tesla team did a phenomenal job there with actually giving people an option to experience the future where humanoid robots walk among the crowd. Not with the canned video presentation or anything, but literally walking among the crowd, serving drinks and whatnot. And we had 50 autonomous vehicles. There were 20 cybercaps, but there were an additional 30 model-wise operating fully autonomously the entire night. Carrying thousands of people drink with no incidents. They tired not to. So, and those went there, it was emphasizing that the cybercap had no steering wheel or brake or accelerated pedals. Meaning there was no way for anyone to intervene manually even if they wanted to. And the whole night worked very smoothly.
So, with a cognitive vehicle business, we are still on track to deliver more affordable models starting in the first half of 2025. You know, this is, I think probably people are wondering, well, what should they assume for vehicle sales growth next year? And at the risk of taking a bit of risk here, I do want to give some rough estimate, which is, I think, 20 to 30% vehicle growth next year. You know, notwithstanding negative external events, like if there's some Porsche events, some big war breaks out or interest rates go sky high or something like that, then, you know, we can't overcome massive Porsche events. But I think with other cost vehicles, with the advent of autonomy, something like a 20 to 30% growth next year is my best guess. And then cybercap reaching volume production in 26. I do feel confident of cybercap reaching volume production in 26.
So, I'm just starting production, reaching volume production in 26. And that, you know, that should be substantial growth. I think we're aiming for at least 2 million units a year of cybercap. That'll be in more than one factory, but I think it's at least 2 million units a year, maybe 4 million ultimately. So, yeah, these are just my best guesses, but if you ask for more best guesses, that's those are my best guesses. The 46, the cell 4680 lines, the team is actually doing great work there. The 4680 is rapidly approaching the point where it is the most competitive cell. So, when you consider the fully landed, the cost of a battery pack fully landed in the US, net of incentives and duties, the 4680 is tracking to be the most competitive. Maybe lower cost per kilowatt hour fully considered than any other alternative, which is not quite there yet, but we're close to being there, which I think is extremely exciting. And we've got several, a lot of ideas to go well beyond that. So, if I think there's, if we execute well, the 4680, we'll have the Tesla internally produced cell will be the most cost competitive cell in South England, North America.
The assessment to a tremendous amount of hard work there from the buy team. So, that's a rule. We'll continue to buy a lot of cells from our competitors, so that's not to make, to make cells just internally. So, I don't want to sit off any of the law bills here. We're also increasing substantially our vehicle output and our stationary storage output. So, we need a lot of cells. And most of them will still come from suppliers, but I think it is, it is some good news that the Tesla internal cell is likely, is trying to be the most competitive in the US. So, with respect to autonomy, as people are experiencing in the cars, really from week to week, there are significant improvements in the miles between interventions. So, with the new version, 12.5, the release of Full cell driving and cyber truck, the combining the code into a single stack, so that the city driving and the antenna highway driving are one stack, which is a big improvement for the highway driving. So, it's just all neural nets and the release of actually smart summon. We try to have a sense of humor here at death. And we're also, so that's 12.5 version 13 of FSD is going out soon.
We'll elaborate more on that later in the call. We expect to see roughly a 506 fault improvement in miles between interventions in batch 12.5. And actually looking at the years whole, the improvement in miles between interventions, we think will be at least three orders of magnitude. So, that's a very dramatic improvement in the course of the year. And we'll expect that in 20 to continue next year. So, the current internal expectation, emphasizing internal expectation for the Tesla FSD having longer miles between an eventually than human is the second quarter of next year, which means it may end up being the third quarter, but it's next. It seems extremely likely to be next year. Sure. Do you want to? Yeah, I'm mentioning miles between critical interventions. Like you mentioned, Elon, we already made a 100x improvement with 12.5 from starting of this year. And then with V13 release, we expect to be a 1000x from the beginning, from January of this year on my production release software.
And this came in because technology improvements going to end to end, having higher frame rate, partly also held by Harvard Force, more capabilities, so on. And we hope that we continue to scale the neural network, the data, the training compute, et cetera. By Q2 next year, we should cross over the average human miles for critical intervention, probably collision in the case. I mean, that is just unbonished our internal estimate. Yes. So that's not a sandbagging or anything else. Our internal estimate is Q2 next year to be safe in the human, and then to continue with rapid improvements throughout the year. So, with to now a lot, the vast majority of humanity has no idea that it was designed themselves. So, especially for something like a model 3 or model line, it looks like a normal car. So, you don't expect a normal car to be able to be intelligent enough to drive itself. It's not a catalyst, it looks different. It looks different, but model line, model 3, they're good looking cars, but look at everything, both barely normal. You don't expect a barely normal looking car to have the intelligence and have AI to be able to drive itself, but it does.
So, we do want to expose that to more people. And so, we're doing everything we have, a significant improvement in the software. We'll roll it out another 30-day trial, so to encourage people to try it again. And we are seeing significant improvement in adoption. So, the take grade 4, FSD is improved substantially, especially after the 10-10 event.
So, there's no need to wait for Robert Taxi or Savicab to experience full autonomy. We expect to achieve that next year with our existing vehicle line. I want to actually spot someone to use a small day stuff, what it's going to look like, the car able to drive itself to the user within private parking routes currently is speed limited, but then it's going to quickly be increased. We already had more than a billion usage, not themselves, spots them in.
所以,不需要等到 Robert Taxi 或 Savicab 来体验完全自动驾驶。我们预计明年现有车系就能实现这个目标。我希望看到有人用这些车处理一些小日常事务,看看这会是什么样子,车子可以在现有的私人停车场路线内自行开到用户身边,目前这些路线的速度是有限制的,但很快会提高。我们已经有超过十亿次的使用记录。
And we actually, we have four Tesla employees in the Bay Area, we already are offering a right-handling capability. So, you can actually, with the development app, you can request a ride. And it will take you anywhere in the Bay Area. We do have a safety driver right now, but the software required to do that. We're developed. And David, do you want to elaborate on that? Yeah, sure. David, we showed some screenshots of this in the key one share of older deck.
And this is real. We've been testing it for the part of the year, and the building blocks that we needed in order to build this functionality and deliver it to production. We've been thinking about working on for years. It just so happens that we've used those building blocks to deliver great features for our customers in the meantime, such as sharing your profile, synchronizing across cars, so that every single car that you jump into, whether it's, you know, another car that you own, or a car that somebody's loaned to you, or a rental car that you jump into, it looks exactly like yours. Everything synchronized, seat mirror positions, you know, media, navigation, everything is the same, just what you would expect from one of our robo taxis.
But, you know, we gave that functionality to our customers right now, because we built it intending for it to be used in the future, releasing that functionality now. All the end-to-end cybersecurity that we knew we were going to need to deliver that functionality, sending a navigation destination from your phone to the vehicle. And so, you know, you're doing that now with the ride-hailing app, but it's something that we've made available to customers for years. Seeing the progress on a route in the mobile app, that's something you'll need for the ride-hailing app, but again, we released it in the meantime. So, it's not like we're just starting to think about this enough right now, while we're building out, you know, the early stages of our ride-hailing network.
We've been thinking about this for quite a long time, and we're excited to get the function out there. Yeah, and we do expect to roll out ride-hailing in California, Texas, next year, to the public. Now, the California, somewhere, there's quite a long regulatory approval process, but I think we should get a approval next year, but it's continued on our regulatory approval. Texas is a lot faster, so it's, you know, I'd say like, we'll definitely have available in Texas and probably have it available in California, subject to regulatory approval. And then, and maybe some other states actually, next year or swap, but at least to be California, Texas. So, I think that'll be very exciting. This really a profound change.
Tesla becomes more than a sort of vehicle and, you know, battery-made battery company, at that point. So, we published a Q3 vehicle safety report, which shows one impact for every seven-lunch of miles of water pilot that conquests the U.S. average of water crash roughly every 700,000 miles. So, it's currently showing a 10x safety improvement relative to the U.S. average. And we continue to expand our AI training capacity to accommodate the needs of both FSD and Optimus. We're currently not training compute constrained. It's probably the biggest of many factors that the FSD is actually getting.
So, good that it takes us a while to actually find mistakes. When you start getting to where it can take 10,000 miles to find a mistake, it takes a while to actually figure out which it is this. It's a softwareable, better than, it's softwareable A, better than softwareable B. It actually takes a while to figure it out because neither one of them make any mistakes. But what takes a long time to make mistakes. So, that's actually a single little bit big, so many factors. How long does it take us to figure out which version is better? A sort of high class problem. Obviously, having a giant fleet is very helpful for breaking this out.
And then with Optimus, we showed a massive improvement in Optimus' dexterity movement on October 10th. And our next gen, Hannah Boam, which has 22 degrees of freedom, double, which doubled the prior. And Boam, it's extremely human-like and it's so much better, attacked, out sensing. It's really, I feel confident in saying that we have most advanced human-wide robot by Longshot. And we're more ever the only company that really has all of the ingredients necessary to scale human-wide robots. Because the things that, what are the companies missing? Is that they're missing the AI brain, and they're missing the ability to really scale to very high volume production. So, I've seen some impressive video down there, but they like the localized AI and the ability to scale volume to very high numbers.
As I've said on a few occasions before, I think Optimus will ultimately be most valuable part of it. And I think it has a good chance of being the most valuable product I've made. For the energy business, that's very extremely well. And as the shared head is gigantic, the laid-through megapack factory reached 200 megapacks a week, which is now a 40 gigawatt hour a year run rate. And we have a second factory in Shanghai that will begin with the 20 gigawatt hour a year run rate in Q1 next year, so just take the next quarter. And that'll also scale up. It won't be long before we're shipping 100 gigawatt hours a year, stationary storage at Tesla. And that'll ultimately grow, I think, to multiple terawatt hours per year. It has to, actually, in order to have a sustainable energy future, if you're not the terawatt scale, you're not really moving the needle.
So if you look at our mentally very complicated last master plan, which I think actually is too much detail, I'll let me last go out to analyze it. Shortening up, yeah, give us the TLDR on the last master plan. But we showed in that master plan that it is possible to take all of us to a fully sustainable energy situation using sustainable energy power generation and batteries and electric transport. And there are no fundamental material limitations. Like there's not some very rare material that we don't have enough of, we actually have enough of raw materials to take all of human civilization, make it fully sustainable. And even if civilization dramatically increased its electricity usage, it would still be fully sustainable.
You know, one way to think of the progress of a civilization, it's based on a little esoteric, but is percentage completion of car to ship scale? So car to ship scale, one would be you're using all the power of a lot of planet. We were currently less than 1% on car to ship level level one. Level two would be using all the power of the sun and level three, all the power of the galaxy. So we got a long way to go. When you think of car to ship terms, it becomes obvious that by far the biggest source of energy is the sun. Everything else is in the noise. So in conclusion, Tesla is focused on building the future of energy transport, robotics, and ANI. And this is a time when others are just focused on managing around near-term trends. We think what we're doing is the right approach.
And if we execute on our objectives, and I think we will, my prediction is Tesla will become the most valuable company in the world. And probably by long, by long shot. I want to thank the Tesla team for this game for strong execution in a tough operating environment. And we're looking forward to building an incredibly exciting future. Thank you. Great. Thank you very much, Elon. And I've got that fast enough bigger marks as well. Thank you. Thanks. Our Q3 results were all positive. And once again, demonstrate the scale to which businesses evolved for the years with the generation of record operating cash flows of 6.3 billion. The automotive revenues grew both quarter-on-a-half and year-on-year. While we had unit volume growth, we did experience reduction in ASPs, primarily due to the impact of financing incentives.
As a reminder, we are providing these incentives primarily using third-party banks and financial institutions and recognize the cost of these incentives as a different reduction to them. We released FSD for Cybertruck and other features like actually small someone like Elon talked about in North America, which contributed $326 million of revenues in the market. We continue to see elevated levels of regulatory credit sales with over 2 billion of revenues so far this year. To expand on this at an industry level, China continues to outperform US and Europe by a factor of 3. And if there is something to be learned from that, this gives us a signal of what is to come in other regions as customers acceptance of EV goals. And we feel that is the right strategy to build affordable and more compelling gains. Our focus remains on growing unit volume while awarding a build-up of inventory.
To support this strategy, we are continuing to offer extremely compelling vehicle financing options in every market. When you compare any vehicle in a lineup with other OEMs, believe our vehicles provide much better value, particularly when you consider the safety features, performance and unbalanced software functionalities like David also talked about. Include also what Ashoka talked about around autonomy, music options, parental controls and much more. While every vehicle in our lineup comes up with these capabilities, there is an awareness gap, not just with buyers, but at times even with existing owners. We plan on making these more visible in our interactions with both existing and future customers. Automotive margins improve quarter-to-quarter as a result of a 50-feature release discussed before. Increase in our overall production and delivery volume, helping it benefit from commodity pricing and more localized deliveries in region, which resulted in lower price and duties.
Sustaining these margins in K4 prior will be challenging given the current economic end-of-the-art. We are focused on the cost per vehicle and there are numerous more extremes within the company to squeeze that cost without compromising customer experience. Something that's a helpful, hopefully helpful macro trend is if there's a decline in Indian interest rates that has massive effect on automotive demand. The vast majority of people, the demand is driven by the monthly payment. Can they put the monthly payment? So, make most life the most who continue to decline interest rates, which helps with affordability vehicles. That is one trend which we observed in the industry that because of the affordability being impacted because of interest rates, people are holding one to the cars longer, especially in the US. That is actually having an impact on the overall industry too.
As we discussed in back-orders, energy deployments fluctuate quarter-to-quarter due to customer readiness, location of orders being fulfilled and not necessarily an indicator of demand or production within the quarter. While we did see a decline in Q3, we expect to grow deployments sequentially in K4 to end the year, but more than double the last year. Energy margins in Q3, quarter record at more than 30 percent. This is a function of mix of projects being deployed in the quarter. Note that there will be fluctuation in margins as we manage through deployments and are in return. Our pipeline and backlog continue to grow quarter-to-quarter as we fill our 2025 production slots and we're doing our little best to keep the demand.
Just coming back on automotive margins, I talked about what is happening. One other thing which I want to also share is that we will continue to keep whatever we can, like I said before about squeezing off the cost, but this is something which we also are very capable of. Just in Q3, we will increase our lowest cost per cycle and that is the trend which we want to focus on. Then going on to service another, we continue to show improvements in Q3. This was the result of better performance both in our service business which includes collision, part sales and merchandise and continuity and supercharging. His feedback service will continue to grow as the overall feed size increases. Our operating expenses decline quarter-to-quarter and an year-on-year basis. This is partially due to the restructuring we undertook in Q2.
Cost-saving from these initiatives were partially offset by increase in cost related to our air efforts. We've started using the GPU cluster based out of our factory house in the header schedule. Another track to get 50K GPUs deployed in Texas by the end of this month. One thing which I'd like to elaborate is that we're being very judicious on our air compute spend too and saying how best we can utilize the existing infrastructure before making further investments. On the CAPEX fund, we had over three and a half billion in the quarter. This was a sequential increase largely because of investments in the air compute. We not expect the CAPEX for the year to be in excess of 11 billion. We shared our vision for the future at the VU robot event at the beginning of the month. The Tesla team is hyper focused on delivering on that version. The all efforts are underway to make it a reality. While we have achieved significant progress this year, it will take time to get this as we find new and incredibly complex technologies and navigate a fragmented regulatory landscape. Future is incredibly bright and I want to thank the Tesla team once again for all the help. Great. Thank you very much, Phoeba. Now we'll go to you investor questions.
The first one is, is Tesla still on track to deliver the more affordable model next year, as mentioned by Elon earlier? And how does it align with your AI product right now? Sure. I mean, as Elon and my both said, you are in plan. To meet that in the first half of next year, our vision has always been to lower the cost of the vehicles to increase the option of sustainable energy and transport. Part of that is lowering the cost for current vehicles, which is where all of the personally owned vehicles that we sell today come in. But the next stage in that really fits into AI roadmap is when we bring in road taxis, which lowers the initial cost of getting into an EV. And that's really where we see the marriage of EV roadmap in the AI. I'll be with with incentive sub 30k. Which is kind of a key threshold.
Great. Thank you very much. Similar question next, when can we expect Tesla to give us the $25,000 on regular car model? We're not making it on. All our vehicles today are road. I think we've made very clear that the future is autonomous. I mean, it's going to be, and that's actually said this many years ago, but that my strong belief in I believe that is planning out to be true. And I'm very obvious retrospect is that the future is autonomous electric vehicles. And non autonomous gasoline vehicles in the future will be like riding a horse using a flip bone. It's not that there are no horses.
Yeah, there are some horses, but they're unusual, they're niche. And so it's just everything's going to be electric autonomous. I think this is blind, like it should be frankly, blindingly obvious at this point, that is the future. So a lot of automotive companies, most automotive companies have not internalised this, which is surprising. Because we've been shitting the shadings from the rooftop for such a long time, and it will accrue to their determines in the future. But all of our vehicles in the future, we're trying to get into that. Yes, all vehicles that we've really made, obviously, have a million vehicles, the vast majority are capable of autonomy. And we're currently making on the order of 35,000 autonomous vehicles a week. If you're a pilot, say, we're most entirely fleet, it's less than 1,000 cars. We're making 5K a week. Yeah, not cars are looking normal. Yeah, they're mostly normal. Cyber truck looks, thankfully, looks abnormal. And then the cyber cab, the cyber car taxi, we wanted to have something futuristic looking. I think it does look futuristic. It's worth noting with respect to the cyber cab, it's not especially not just a revolutionary vehicle design, but a revolution in vehicle manufacturing.
That is also coming with the cyber cab. The cycle time, the units per hour of the cyber cab line, this is really something special. I mean, this is if you have order of magnitude, then other car manufacturing lines like, not getting the same leak, is what I'm saying. Not in the same leak. So it's, you know, I said, I'm going to start with yours, though, that the, maybe the most honest Tesla car to car view in the factory. And just like bi-effectory. And can't reverse this mirror factory. It's up to my. Yeah, it's like, you know, it's, yeah. And as we were rapidly evolving, I mean, factory technology. So anyway, basically, I think having a regular 25K models pointless. Yeah, it would be silly. Like, it would be completely at odds with what we believe. In autonomous world, what matters is the lowest cost per mile of efficiency of that vehicle. And that's what we've done with the rope texting. Exactly. The autonomous, it's fully considered cost per mile is what matters. And if you try to make a car that is, you know, essentially a hybrid manual, or a manufacturer, it's not going to be as good as a dedicated autonomous car. So yeah, Sarecab is just not going to have steering wheels and pedals. Well, you design optimized for autonomy. Now, it'll cost on order of cost roughly 25K. So it is a 25K car. And you can, you will be able to buy one, one, it exclusively if you want. So just one half steering wheel. It's good or needed.
Great. Thank you very much. The next question is, what is Tesla doing to alleviate long wait times at service centers? So we aim on solving problems at the source. So at the factory, before they can even affect our customers, we believe the best service is no service. Yeah, really don't even have that. If the car doesn't break. Yeah, exactly. That's the best thing. Don't see any with the Tesla shirt, but you either do it. Yeah. Fix the issue upstream, or you would remotely do it through software. They could be at work or at home, and you know, car to be parked. And we address the fix the issue. And we've partnered the field with service to make sure we're looking at the same issues. And additionally, just in Q3 and Q4 this year long, we have opened and will open in total at nearly 70 locations. And in North America, we significantly expand the size of each location and have doubled the size last year compared to this year.
Yeah, I think it was like actually a lot of parents that having large service centers, because you can have specialization of labor. You can start to approach. Yeah, should be more factory-like. You know, we can have dedicated lanes for particular types of service. And it's way easier for somebody to become expert in a few different types of repairs than in every repair. Exactly. This has helped us with the basis of these heavy repairs, like clogging up the lane. They've dedicated lanes for different types of repairs. And so it's the repair matters.
I'm really treating it like a factory. Yeah. This is where Tesla's structure, I think. Tesla has a strong advantage relative to the rest of the order industry, because we make cars and we service the cars. Whereas, I think there's a bit of a conflict of interest with the dealer model and the traditional OEM dealer model, where the dealerships make most of their money on service. And so they're just incented to reduce the servicing cost. Whereas in our case, we are incented to reduce the servicing cost, because we carry that servicing cost. And we've got a good feedback with our cars.
Exactly. Yeah. I think we would be with the factory, with the service leaders together, and send people from the factories that feel the field to the factory to see it firsthand. Exactly. I'd buy suggestions for manufacturing as well as for engineering on design. Yeah. So I feel this has a fundamental structural advantage. Tesla versus the rest of the order industry. I was doing a bunch of work on the software side, not only to automate diagnostics, so identifying what needs to be done to a car, Ford comes in service, but also automating all the preparation work and aligning all the resources that are necessary in order for the car to be very efficiently worked on once it arrives. So the parts are there, like the lift is scheduled, the technician schedule, like everything that we like to do. Like a car, you know, do us this watch wrong with me and tell us to fill the service editor. The car is everything ready and it means.
Please fix me and this is what's wrong. Yeah. Is that a customer trying to translate the cars, telling us directly and we're pulling that. Yeah. Yeah. Any most time you don't need to diagnose the car when it arrives, the car. Yeah. This is like, again, the fundamental technology advantage and structural advantage compared to the rest of the order industry. It's. I think it's under-appreciated as to what all we are able to do. And that's why, because like I said before, most of our cars, except for Cybertruck, look the same. So people don't realize that it has so much capability. Yeah. Yeah. They're like, they look better than other cars. Yeah. But they're like, obviously, like super futuristic. Yeah. Yeah. Great. Thank you very much.
The next question is, please provide an update on the semi. What will the next stage of growth look like and when will FSD be ready? Sure. So as we posted in the earnings, we're progressing something on the build of the semi factory in our data factory in Reno. We've released all our major cap-boat expenditures for that program. And we're on track to start pilot builds in the second half of next year with production starting the first half of 20, 26 in rampant, really throughout the year to full production. Semi growth will largely depend on our customers adoption of the product. Well, I don't think we're going to be divided limited on the same. Yeah. Which I would say, which is like a brand for the semi. Because it's really a commodity of total cost of ownership. Yes, exactly. It's good. We have a kind of ridiculous demand for the semi.
In that world where it's about how much do I spend to go to? Yeah, exactly. It's per mile. It's a no-brainer. Yeah. Fundamentally, if you've got a semi where the fully considered cost per mile or for a ton of transport is better than, say, diesel truck, any company that doesn't adopt any electric semi will lose. It's not a subjective thing. It's like, whether do you like the competitive? I mean, we want the style. We want to have a good old semi truck. But frankly, if you read an ugly semi truck, what a matter. This is proving so in our fleets in Pepsi's partner. In fact, the Pepsi actually said last week, they're having nobody.
Their drivers don't want to go back. As soon as we give anyone the electric semi, that's like the choice. It's what they want to drive. Yeah, yeah. That's like the most senior, like their top drivers, they get to drive the Tesla semi. It's the thing they want to drive. It's super fun to drive. It's also very easy to drive. It's easy to drive and it holds fast. Maybe too fast. Well, but I mean, you've seen the videos of where I'd be like Tesla electric semi can go uphill.
Yes, yes, yes, we can speed it fast like the diesel truck. It really cars. Yeah, it cars. So like it's responsive. You floor it and the truck actually moved it. And that's a benefit not only for the driver and for the goods, but also for safety. In terms of other drivers on the road, you don't get stuck behind a semi. You're not like in a slow down situation in the on-road. I mean, how that plays into FSD, which is the second part of the question. All of this has been since a couple hundred we've deployed already and the ones that we'll be building next year and throughout future have all of the hardware and the cameras necessary to deploy FSD.
And we're currently training with that small thing that we have. And as soon as the fleet is trained and the neural nets are up, we'll get FSD onto that platform. Yeah, I mean, it'll be a mass improvement in driver fatigue, you know, because driver safety, we've got sort of the anti jack-net thing, software, you know, you don't have to worry about your brakes overheating. If you go down to Steve Hill, because we use regenerating, that energy goes back into the pack. Actually, when we leave, it's just like it's radically better than it is with some way. So what the drivers love it.
Great, guys. Thank you very much. Our next question is when will Tesla incorporate X and Grock in all the Tesla vehicles? Well, I mean, these are relatively small fry things, you know. But yeah, I think we'll keep expanding, you know, what is available in the car on the screen and also improving like the browser. So like just generally you can access anything you want in the car. In fact, for the Tesla, you know, if we're just getting full autonomy, you actually want fully a system that is, you can do anything. Like if you want to browse the internet, if you want to, you know, ask AI questions, if you want to watch a movie, if you want to play a video game, if you want to do some productivity thing, you can do anything you want.
And in autonomous vehicle, because you don't need to drive. So that's why this hour cap got a nice victory. And the great sound system. So you can watch it. Watch a great movie. It's like doing like a, in a personal movie theater. Yeah, of course, the movie theater. Those. Yeah, this is why we've been building this functionality. I think gaming to the car, adding movies and other, you know, all sorts of different media stations of the car because, you know, the cars, that's what you're going to, that's, yeah, the cars that we built today. This is really fun and games, by the way, people haven't tried it.
There's like Castle Doombad and Polytopia and a bunch of really fun games in the car. We're constantly looking at, you know, what features that add next. And we're paying attention to what's most commonly requested by our customers. Yeah, play Castle Doombad. You wonder if any of that. Great. Thank you guys very much.
The next question is Elon mentioned unsupervised FSD in California, in Texas next year. Does that mean regulators have agreed to it in the entire state for existing hardware three and four vehicles? No, as I said earlier, California loves regulation, but they have a pathway. Yeah, I mean, there's a pathway obviously Waymo operates in California. So there's just a lot of forms about a lot of approvals that are required. I mean, I'd be shocked if we don't get approved next year, but it's just not something we totally control. But I think we will get approved next year in California and Texas.
And for the year, we'll branch out beyond California and Texas. I mean, I think it's important to reiterate this like, all you need are certifying a vehicle of federal level in the US is done by meeting FMDSS regulations. All our vehicles today that are produced, they're autonomous capable, meet all those regulations, the set of capital needs of regulations. And so the deployment of the vehicle to the road is not a limitation, but is a limitation, is what you said at the state level where they control autonomous vehicle deployment. Some states are relatively easy as you mentioned for Texas. Yeah. And so other ones have pathways like California that may take a little longer. Other ones hadn't set up anything yet. And so we will work in those state by state. I do think we should have a federal. I agree that autonomous vehicles should be approved. There should be possible to.
Counter is if you're listening, let's get a federal ABA. There should be a federal approval process for autonomous vehicles. I mean, that's how the FMDSS is. It's a federal motor vehicle. The FMDSS is federal. Yeah. So I mean, in 2017 and 18, we, you know, so when the regulators started looking at it and it's really kind of stalled since then, but we would appreciate and would support helping out with those. It really needs to be not at like a national approval is important. You know, if there's an Department of Governor efficiency, I'll try to help make that happen. I did say it for everyone. Not just as long as we, but you know, just like some things in the US are state by state, regulated, like, for example, insurance. And it's like incredibly capable to do it state by state for 50 states. And I think we should have this should be a natural approval process for autonomy. Great. Thanks guys.
The next question is what is the plan for 2025? I mean, we're just talking. It is now. I mean, basically we talked to them. There's a lot going on. You know, Nolte mentioned that we're working on cheaper models to come out. I mean, they have work with the team is doing to get the factories ready today to try and make that happen. Yeah, by the way, the amount of work requires him to make a lower class car is insanely high. But like it is harder to get like 20% of the cost out of a car than it is to design the car and build the entire factory in the first place. It's like excruciating. And it's and it's not a lot of movies made about that the heroes who got 20% of the cost out of a car. But let me tell you, this should be. Everything got that is incredibly heroic. It's a little change. It's not like a.
Yeah, it's like, this should be the heroes who got 20% cost out of a car is like damn, I'm going to respect them. We're talking movie. You know, I think you probably could make it compelling with me, but it just no. Like if you actually saw how hard if you've actually saw how hard it was to do that, you'd be like, whoa, that's damn hard. Just yesterday, we were talking about potty. Honestly, like literally, yeah, I mean, there's a lot of, I do call it sort of like getting cost out of things kind of like it's like game of pennies. It's like game of thrones, but pennies. The first approximation is if you've got 10,000 items in a car, very rough approximation, and each of them costs $4, then you have a $40,000 car. So if you want to make a, you know, a $35,000 car, you've got to get 50 cents on average out of the 10,000 items. Every time, every part. Yeah. And it's like, you know, and then obviously the best is you delete some parts.
In fact, we're not able to delete a lot of parts. I'm very, I'm not very excited about the, the salary cap design and the, but you know, how we're rethinking the design of a car for the salary cap, design it for all high volume production, and then designing a machine that builds the machine that I think is also revolutionary. And it's just that there's no other car company that's even trying to do what we're doing. Like I don't even heard of it actually. In fact, I'm certain there isn't one. Like, like, I think this, the, on your machine, I've lost the machine.
Like it's, it's, it's inherently like that it's, it's, it's designed to be like Yeah. Five, five times better than traditional factory, like cycle time. Cycle time and like part deletion, which I don't think any other car company has the same level of like integration of thought that we have when it comes to like, when you design a part from the white sheet of paper, who's going to make it? Where's it going to be made? How's it going to be shipped? How's it going to be assembled into the vehicle and like at any one point, if something is done in a silo, it becomes a bottleneck of either cost or time or efficiency, but with the, with the roitaxi, you know, the development, like we've done a good job on like combining all that and then like blowing up how it's made and saying it should be made this way and rethinking it all so that it's the most efficient factory possible that shows in our, it will fit in our capex efficiency when we deploy it. Shows in the number of parts, shows in simplicity and vehicle, but also how it performs in, in terms of like end user state.
Yeah, just to close out, just on the energy front also in 25, we will have started with flashing at the manufacturer's high. We'll continue to increase our storage deployments with Powerwall 3. We plan to continue expanding our supercharging network, getting more OEMs on our network, 4680, and that's all that as you want to talk about that would keep going. And then if there's a, we also would have a new team refinery starting to produce. So there's a lock which is going on. Okay. Yeah, so many things. I really create like crazy thing is like Tesla is running basically on almost every single thing we're doing. If we're not running now, we're trying to run in a, in a, we're in this where there are entire large companies that that's the only thing they do. Yeah. I mean, it's, it's a company, there are multiple companies within the company. Yeah. Tesla's like many companies doing one. That's sick. Thank you guys. Just a few more. What is going on with the Tesla Roadster?
From things. Well, I'd just like to thank our long-suffering deposit holders of the Tesla Roadster. You know, the reason it hasn't come out yet is because it is that it is, the Roadster is not not just the icing on the cake. It's the cherry on the icing on the cake. And so, you know, our, our, our large emission is, is to accelerate the progress towards a sustainable energy future. You know, try to do things that maximize the probability that the future is good for humanity and for Earth. And, and so that necessarily means that like the things like that are kind of like deserted, we'd like, like, we'd all love to work on the Tesla net next year in Tesla Roadster. It is super fun. And we are working on it. But it has to come behind them the more things, the things that have a more serious impact on the good of the world. So just thank you to all our long-suffering Tesla Roadster deposit holders. And we are actually finally making progress on that. And we're, we're close to finalizing the design on that. It's really going to be something spectacular. You know, friend of mine, Peter Teal. You know, and so, sometimes people are like, Peter Teal now, right? We're really good friends. Peter, you know, was lamenting how, you know, the future doesn't have flying cars. Well, we'll see. Peter Teal. Where'd it come?
Yeah. Great. Thank you very much. The next one is quite similar to other questions you've had. So I might combine it with, with the final question. So briefly, could you just detail how Verbo Taxi will roll out? Will it start with a Tesla deployed fleet and then allow customers to add theirs on the subscription model? And then we'll hardware 3D capable of little 5X2. As you're going to get hardware 3, what we saw with 12 or 5 was it was easier to make black progress with starting with hardware 4 and feeling on the solution and then backporting into hardware 3 instead of directly working on hardware 3, given that hardware 4 has more like fundamental hardware capabilities. I think that trend will continue into the next few corners as well by the first figure on the solution rapidly with AI 4 and then backported right the kernels and just takes longer to learn of those things because it's not fundamentally supported in the hardware and it's emulated. But yeah, initially working on hardware 4, backporting it to hardware 3.
Yeah. So it's, the answer is we're not, we're not in hardware 3D. Sure. But, but as a short measure, because by some measures, hardware 4 has really, as several times the capability of hardware 3, it's easier to get things to work with hardware 4 and then it takes a lot of effort to sort of squeeze that functionality into hardware 3. And there is some chance that hardware 3 does not achieve the safety level that allows for unsupervised FSD. You know, there was there was some chance of that. And if that turns out to be the case, we will upgrade those who have bought hardware 3, FSD for free. And we have designed the system to be upgradeable. And it's really, it's really what, you know, just to sort of switch out the computer type thing. Like the cameras are, you know, they're capable. But anyway, we don't actually know the answer to that. But if it does turn out, we'll take, we'll make sure we take care of those who have bought MSD on hardware 3. Great. And I know last few minutes that we have left, we will try to get in some analyst questions. The first question will be coming from Pierre Farragum at New Street. Pierre, please feel free to unmute yourself. Thanks a lot, guys, for taking my question. I was wondering about like the confusion you're ramping up. So you gave like interesting statistics on how much you have. And you said you don't feel your compute constraint. And I was wondering, you know, how you are putting to work this additional compute. Is that a game for you of creating like larger and larger models, like next generation of models that are larger the way open AI go from GPT 3 to GPT 4? Or is that more like you're set on your model and you need to throw more and more compute to accelerate the pace of learning to improve reliability? And then I had a quick follow up real quick on your rollout in Texas and in in California next year, the plan as you see today is to roll out like a fleet or two with cars that will start with like a super visa area, like some onboard super vision, someone sitting at the wheel just in case and removing the super advisors progressively or are you aiming for going fully fledged without even a human super supervisor when you get started?
Okay, well, I guess we're going to answer the first part of the question indeed. The nature of real world AI is different from say in LLM in that you have a massive amount of context. So that like the you've got cases tells the summary cameras that, you know, after nine if you include the internal camera that that that so you've got gigabytes of context and that that is then distilled down into a small number of control outputs. You know, whereas it's like you don't really it's very rare to have in fact, I'm not sure any AI LLM out there do gigabytes of context. And then you've got to go to the process that in the car with a very small amount of compute power. So, it's all doable and it's happening, but it is a different problem than what say a Gemini or opening is doing. And now part of the way you can make up for the fact that the Inferns computer is quite small is by spending a lot of effort on training. And just like just like a human like the more you train on something, the less mental workload it takes when you try to when you when you do it like when the first time like a human starts driving, it absorbs your whole mind.
But then as you train more and more on driving, you're pretty good. And you the driving cover becomes a background task. It doesn't get only absorbs a small amount of your mental capacity because you have a lot of training. So, we can make up for the fact that the Inferns computer is it's it's tiny compared to a 10 kilowatt bank of GPUs because you've got a few hundred watts of Inferns computer. We can make up that with heavy training. So, yeah, that's a and then there's also vast amounts that the actual petabytes of data coming in are tremendous. And then sorting out what training is important with, you know, all of the vast amounts of video training, video data coming in complete. What is actually most important for training? That's the point. That's the point. But as I said, we're not currently training compute constraint. I'm sure you want to elaborate.
Yeah, thank you. I mentioned the training has both trained large models also to train quicker. But in the end, we still got to pick which models are performing better. So the validation effort to picking the models because the model sprint dimension is pretty large. We're trying a lot of miles to go in close loop. We do have simulation and other ways to get those metrics and those to help. But in the end, that's a big bottleneck. Yeah, that's why we're not training compute constraint alone. And there's other access of scaling as well, which is a data, figuring out which data is more useful. That is an important task and we're focusing on that. Yeah, so as it relates to the second part of your question here about safety drivers enrolling it out, each state has different requirements that, you know, in terms of how many miles and how much time you need to have a safety driver and not have a safety driver, we're going to follow all those. We're not going to violate whatever regulations are out there. But safety is a priority. But the goal is obviously that when we're ready and safety is there, we'll remove all the drives from the right track. Yeah, I mean, I guess like we think that we'll be able to have driverless Tesla's doing paid rides next year. Sometimes you're sure. All right, thank you. And our next question comes from Adam Jonas at Morgan Stanley. Adam, please feel free to undo yourself.
Okay, thanks everybody. Just had a question about the relationship between Tesla and XAI. Many investors are still not clear how the work at XAI is truly beneficial to Tesla. Some even take the view that the two companies may even be in competition with each other in terms of talent and tech and even your time, Elon. So what's your message to investors on that relationship between Tesla and XAI? And where do you see it going over time? Thanks. Well, I should say that XAI has been helpful to Tesla AI in quite a few times in terms of things like scaling up, bought it like training. Just even like recently in the last week or so, take Rubinson, bought power training. Where if you're doing a big training one and node fails, be able to continue training and either recover from under training one, XAI has been pretty helpful. But there are different problems. XAI is working on artificial general intelligence or artificial super intelligence. Tesla is trying to make autonomous cars and autonomous roadblocks. They're different problems. So, yeah, I mean.
I think we've said this before also. Not only is it equal, there's AI is a broad spectrum. And we have our old swim mates. There are certain things which we can collaborate on if needed, but for the most part, we're solving different issues. Yeah, Tesla's works on real world AI. And I was saying earlier, it is quite a bit different from an LOM. Because you have massive context in the whole video and some amount of audio, that's going to be distilled very like with extremely efficient inference compute. I do think Tesla is the most efficient in the world in terms of inference compute. Because at our necessity, we have to be very good at efficient inference. We can't put 10 kilowatts of GPUs in a car. We've got a couple hundred ones. It's pretty well designed Tesla AI show, but it's still a couple hundred ones. But there are different problems. I mean, it's just. The stuff that XA had is like, when it's running inference, I mean, it is running inference. Antheric questions is answering tests and questions on a 10 kilowatt rack. It's like, yeah, put that in a car. It's a different problem. Please, though. No, exactly.
So, you know, XAIs because I felt there wasn't a truth-seeking digital super intelligence company out there. Like, that's what it came down to. It needed to be a truth-seeking, like an AI company that is just very reverse-eval. It's not saying XAIs is perfect, but that is at least the explosive aspiration. Even if something is politically correct, it should still be truthful. I think this is very important for AI safety. So, anyway, I think AI, XAI will. It has been helpful to Tesla and will continue to be helped to Tesla, but they are very different problems. Great. And I mean, I think what is. What are the car company has? It has a whole class trip design team. Like zero. What are the car company has a whole class AI team like Tesla does? Zero. Those are all startups that have created a scratch.
Great. Thank you, Elon. And I think that's unfortunately all the time that we have for today. We appreciate all of your questions, and I look forward to getting this clear. Thank you very much, and goodbye.
All right. Hey, everybody. Just gonna. Give me one second here. We've got a lot to talk about. Give me an audio set. Let me know if that level is good for everybody. And then we'll just go through some of the things that we heard. Hopefully everyone had a chance to go through or to watch the shareholder letter reaction earlier. Obviously, we got a lot of news there, but a very interesting call as well. So I think we've got some exciting stuff to go through.
So we can kind of just go through an order. I'm just gonna look here. Volume is low. Volume good. Okay. Yeah, it was a little bit low before. Sounds like we're good. All right. So yeah. Exciting. Exciting. I think that's the overall takeaway for me is this kind of felt like an older days test the call. And for those that didn't have a chance to listen earlier, you know, one of the things that I said is that we're in a period right now where Tesla is very much shifting their priorities. They're working on a lot of stuff that is behind the scenes that doesn't necessarily come through and quarterly reports.
And as I was sitting here and thinking about this earnings call versus like earnings calls that we've had over the last few quarters, I'm glad Tesla is a public company, but this is one of the major, major disadvantages of being a public company is when you have periods of time like this. There just gets to be so much just negativity around the company because of a few quarters worth of results.
Like if this if that's where private company, we go through periods like that, no problem. No one really cares too much about like, all right, this quarter was 2% lower than last quarter or whatever else. Because the time horizon, the holding period, there's so much longer that there's just an ability to stay focused on those longer term things.
And I think Tesla, they had a good quarter that's helping improve the sentiment. And then there's all I think there's a lot of like tangible progress towards where Tesla's going next. They're starting to work on a lot of these things. They're starting to realize a lot of what is to come and be able to articulate those things, which maybe over the last year, they've been working on them, but it just hasn't been close enough to be kind of like getting that excitement level up yet.
And Tesla still tries to do that. They still try to reiterate, you know, this is what's coming. This is what's coming. But you hear that so many times, so many quarters in a row. And then you see like the financial results not yielding any of that yet, because obviously it's still in development. People just get really down and really negative.
And I think this quarter is a little bit of a breath of fresh air, both for the underlying business and today's business, but also just like the Robotaxi events, you know, some of the things Elon said here, like CyberCab 2026, he's viewing that as volume production. I think that's a lot quicker than what people may be expected coming out of the Robotaxi event where Elon had said, you know, 2026, it might be 2027, which we should definitely keep that in mind.
But it seems like he was referencing more of volume production versus without that clear fire. I think the natural expectation of the natural assumption should be that's just started production. So for him to be, you know, talking about volume production 2026, like, that's going to be here sooner than we know, reiterating more affordable vehicles next year, we'll talk a little bit more about that.
We're just starting to get to, you know, more exciting, more exciting things happening for the business, which again, I've been in the works. But just any, any business, there's going to be periods of time where things plateau. And you know, when you're a public company and you report quarterly, people get really really upset by that sort of stuff.
So I think this is just a good opportunity to, you know, to realize and now with with some of like the positive reaction, it just helps people be more confident in those types of things and kind of like mentally reinvest a little bit in what Tesla is doing, what they're trying to achieve and get kind of that buy in and more positive sentiment, which I think, you know, just helps the business, obviously helps the share price, things like that.
So I'm excited to see that. I think you guys know, whenever the stock is down 10% after earnings, those are the kind of things that I reiterate. But you know, I think people are just more eyes open to it when we do have a more positive report like this. Throughout the call, I think the team did a good job. I think Elon did a good job. He articulated what Tesla is doing well, seemed to be in very good spirit. So always good to see those types of things too.
All right, so those things being said, let's just hop in here and go through kind of like point by point, there's a lot of stuff. So I'm going to look at these very closely. I try to like go through fast, but I don't want to miss anything because I had a number of thoughts as Tesla went through things. All right, so achieved overall, you know, record deliveries. I don't know if that was a Q through record or a total record. I have to go back and look at that. Other EV companies, EV divisions, not profitable. Very few companies report right there, EV itemized businesses.
We've got like Rivian and Lucid, obviously purely EVs, BYD, although their financials, it's always a little bit trickier to trust when the company is based in China. It's like some of these financials being shifted over to another company and positive impact for BYD that's been showing negative on another company. Things like that are a little bit more difficult to know and to trust, particularly with BYD. But for the US companies, certainly, the road to profitability has been arduous to say the least.
So I think good that Elon reiterated that. And obviously, this quarter was particularly strong relative to last quarter, just in the fundamental strength business. Again, for those that didn't listen earlier, one of the items that we still need to kind of keep an eye on, which was not answered during the earnings call, is how much of the automotive gross profit was contributed from FSD revenue recognition, which they did highlight as one of the items that contributed positively.
We won't know until we get the 10Q how much of an impact that was. So that could be hundreds of millions of dollars, which could really change how people interpret this report. So it's going to be a very important item to look at. Hopefully, it's a small amount, but we just have to wait and see. So 7 million, 7 million vehicle produced, that's, that's awesome. I mean, Tesla's knocking it out of the park when you look at the long term perspective.
And it's just so nice to see all these electric vehicles on the road. Energy storage business, obviously doing excellent. I know Vayabov said some things, CFO said some things about sort of the margins. I was, it's tough, you know, just trying to understand and then also take notes when he's speaking. So I do have to go back and look at some of those things. I know he mentioned a couple things on margin. One for sure, though, is that he does expect next quarter energy storage deployments to increase.
This quarter, obviously, we saw them decrease as we had a huge Q two dropped off in Q three as those deployments are a little bit lumpy. So totally expected, not surprising. They kind of alluded to that last quarter in the earnings call, and this quarter kind of the opposite. So we should see that kind of bounce back next quarter, which is really exciting. More than 100% growth year over year. I don't know exactly off the top of my head what it was last year. But that kind of gives us some guidance for Q four. And they also said they expect delivery growth and automotive for for the year as well. So that can kind of back into some Q four numbers as well.
As we talked about, you know, 50 autonomous vehicles operating Tesla had previously said 1300 rides, most rides had, you know, two two people in and at least some of the model wise, I'm sure had probably more. So yeah, thousands of people being transported around all night, no incidents, things like that. More affordable, more affordable models in the first half of 2025. It was a little bit, I don't know, obscured or whatever, but it sounded like they said that these vehicles would be $30,000 after incentives.
Now there are state incentives. I know the big one is the $7,500 federal tax credit. They could technically include state incentives in there too. I think there are a few states with a couple thousand dollars. I think California being one, obviously Colorado. So they could technically be including those. They could technically include gas savings, which is what the website design studio configurator does. So just keep those things in mind. Hopefully they're only talking about the $7,500 thing, which could mean the you know, the vehicle starting at like $37,000 or something like that. Again, I don't think that's the $25,000 car.
I shared my thoughts on this before. I don't think there's a $25,000 car that's really still happening. I think it's the cybercab and they're all in on that. And I don't think it's going to come with a steering wheel. I don't think it's going to come with pedals as a variant. I think Elon, you know, kind of made that clear on this call. So nevertheless, with those more affordable models, which we'll see what those are, if those are just updates to the three in the Y or if there's, you know, some other model as well, something like 20 to 30% next year, it sounded like though, they also feel like FSD and the progress there is going to contribute to overall vehicle demand as that improves. It seemed like that was a part of, I think Lars was talking at that point. I think that's one of the levers they view as a demand lever is just that improving.
So we'll see about that. And then interest rates, obviously that was mentioned later on on the call, if those continue to come down, which that's obviously the expectation, I think we're already seeing the benefit of that here in the third quarter and early in the fourth quarter. If that trend continues, then you know, that's definitely a win for affordability and for margins and things like that. All right, so volume production of cybercab, we talked about that one, no surprise, but aiming for at least two million per year, maybe four million per year ultimately. And multiple factories obviously required to produce that kind of volume. And I don't think people fully appreciate like how crazy this is. If you think about these vehicles, even getting, you know, let's say, I think you want to said like five times the utility, let's just say two times or three times the utility of what a normal car would get. If you get that up to, you know, three, four million cars a year, you're talking about really the utility of like 10 million cars per year, which is obviously a very significant portion of the auto market at that point.
So it's, it starts to get pretty big, pretty fast. One cybercab starts, if of course autonomy is, you know, achieves level four, level five at that point, which is a very big question mark, but they shared some of the details on that a little bit more numbers than we have seen. So we'll talk about those in a second. Now all that sort of stuff, 20 to 30% growth, cybercab volume, Elon said these are just as best guesses. So important to keep that in mind. 4680 rapidly approaching the point where it's the most competitive cost competitive battery cell fully landed cost being considered. So net of incentives they mentioned and import duties. So you know, if you're bringing in cells from China, obviously, there's going to be some additional costs to doing that, both from shipping and duty perspective.
And then not being eligible for certain incentives. So those are some pretty significant differences, but they all matter, they all affect the business. So it's good to hear that. Sounds like there's a number of things that they're continuing to make progress on. I think the optimism in general, like the tone around 4680 has definitely been consistently improving over the last couple of quarters versus, you know, maybe a year ago or so, there was probably not quite as much optimism in how it was spoken about. So I'm definitely excited with the 4680 updates that we've had. And it seems like it's already in a pretty good spot, which is good because that means Tesla can continue to invest more and more into it, get more economies of scale, continue to make improvements as they make those further investments, things like that. It's a very positive sort of feedback loop on the 4680s. And I think we're kind of hitting that point, which is, which is really great.
Still continue to buy cells from others. Yeah, Elon's always said that. Some significant improvement week by week and the number of miles per intervention for FSD. It's important to note that they always talk about critical interventions to, I think we're getting to a point that I think Tesla's kind of talked about this in a few different ways. But getting to the point where maybe one of the bigger challenges is filtering out, all right, this person disengaged because, you know, the speed wasn't fast enough or maybe it's a minor routing thing or something like that, or like just wanting to be in a different lane, something that you would optimize for but isn't necessarily safety critical. I think that's probably the majority of interventions, at least me personally, that's probably how my interventions work.
In just terms of like percentage breakdown. So I don't know how Tesla kind of categorizes those when they're getting that data. I assume it has something to do with kind of how shadow mode would work and seeing, you know, the deviation between shadow mode and, you know, what FSD would have done versus what the person then did after engagement. I assume there's some sort of process in there to kind of check and filter around those types of things. But however they're categorizing the data, however they're looking at it, it's clearly been making them very confident in the progress and the trajectory over the last year. And they continue to be very excited about version 13, continuing to reiterate that that should be a five to six X improvement, which is already on top of 100 X improvement in terms of critical disengagements that they have seen so far this year. So that's kind of the first time that we've really gotten that sort of specific insight into that specific metric that Tesla looks at. I would love it if they would publish that, but it does make things a little bit tricky because then, you know, everyone's going to want to see this very smooth progress. And if you see a period where it doesn't, doesn't happen, then people become negative.
So it's the exact same thing that we talked about at the beginning here, public versus private company, you know, public versus private data. There's no, there's not a lot of benefit to publishing that, especially when Tesla's not capital constrained. They don't need to raise money. They don't really need to like sell investors. So might as well just keep that data internal. I'm fine with that. I would love to see it, but I also understand. So it's nice that they're seeing significant improvements. I mean, I don't know if 100 X matches my experience, but like I said, 12.3.6 massive step forward. You know, I would say just like anecdotally for my own experience has to have been like 10 X. I also moved right kind of during that period. So it's, you know, I'm not in my same area doing my same testing and things like that. So it's kind of a different environment which changes perception as well.
Anyway, year over year improvement expected to be at least three orders of magnitude, which is crazy. So, you know, in the ballpark of 1000 X improvements in the disengagement or in the critical disengagement rate. And then maybe the most important thing is that they said they expect that same trend to continue next year. If that means they expect another three times or three order of magnitude improvement next year, then you're talking about 1000 on 1000, which is like a million times better. So that kind of gives you, you know, even if they don't get to that, then I think that's why they're confident is like, if they're anywhere close, it should be good. So it gives some insight into why they're why they're so confident.
Now obviously that is something that still needs to happen and any number of things could cause that to not happen. But that's what they're seeing. And as Asherk talked about on previous calls, there's a number of different categories that they've seen the technology scale on in in a trajectory that they could kind of model and expect. They've already seen that unfold. So if they then have clear visibility to those things continuing to be able to scale in the same way, then the logic following that is that if those continue to all scale in the same way, then hopefully the end product can continue to scale in the same way as well.
So that's the reason that they're feeling so confident in these improvements. So we'll look forward to version 13. I do think just even as a tester, you know, at a certain point, it does become difficult to understand what the progress is because the disengagements are rare. I don't think we're there yet. But I also don't think that we're super far away from that starting to actually become even difficult for testers to kind of like make assessments of scaling continues should cross intervention threshold next year. And then importantly, they continue like they don't see that as kind of a ceiling. They expect continued rapid improvements kind of after crossing that threshold, which is again, another reason for renewed confidence.
You know, the further out you go, the more uncertainty there is. But if they feel like, yeah, it's just this this path that next year we hit at, you know, Q2, Q3 timeframe, but then we continue to go and it 1000 Xs again or something like that, then it really does feel like it's just a matter of time. And if you don't hit it in Q2, then you hit it in Q3 or Q4, you know, things like that. So it's projections projections don't always equal reality. But hopefully that gives some insight on, you know, at least how I think they're thinking about it.
All right, so do you want to expose more people to FSD? So obviously, they just did a trial of I think 12 dot 5 dot six, I don't know, it's a little confusing with the version numbers how they are right now. But yeah, I think they should keep doing that, especially if they are feeling like they're data constrained and not compute constrained so much. It's hard to know if more cars does help with the specific issues that they're having of finding those critical disengagements and things like that, but it would seem like it would. So yeah, free trial away might as well right take advantage of the fleet. So I think that's great. They also talked about significant improvement and to take great. Again, this is something that they don't publish would be nice to see. But I understand again, why not, especially because it is improving from a very low base. But nice to see that.
And interesting that even the, you know, the October 10th event, even that improved the take rate, which, you know, nothing changed with FSD that day is just people becoming aware. So shout out to advertising right there because that's why you do advertising that's the hope of the effect of advertising is increasing the awareness of these things. So hopefully that's an eye opener, but probably not. Which it's fine. At the end of the day, ultimately, what matters more is getting the FSD, getting a Robotax, getting the cybercat, as long as the cash flow is there to do that, then these incremental improvements in margin in the interim period, like they're nice. They help support the stock. They help improve sentiment. More money is always great for the business. But it doesn't really change things all that much. I don't think so. Well, I'd like to see it sometimes it probably gets a little bit too much attention versus the other things that really should be the focus.
Actually, smart summon. I haven't really used it in. I don't I don't drive a whole lot. So I haven't really had a really need to use it yet. Unfortunately, I've just kind of tested it out. It was fine for me. You know, other people have way more more experience with it than I do. So can't comment too much on it. But obviously it gives a taste of what things are going to be. And hopefully we kind of see like actually smart summon, merge into FSD. And it's kind of like a limited operating domain right now with speed limit restrictions, geographic restrictions on like not public roads and things like that. Hopefully you just kind of see these things like merge together and all of a sudden it's, you know, fully autonomous everywhere. But if they do improve speed limits and things like that, just like slowly incrementally increasing the operational driving domain of, you know, autonomous driving, which is existing in the smart summon feature. This one was very interesting.
So probably no one really thought that this was happening, I don't think, but Tesla's already using the Tesla network, like a Tesla network app on employees phones to do ride sharing in the Bay Area. So if you're, I don't know, again, what the, what the region is, but it sounds like for employees, you can just use the Tesla network on your phone, call the vehicle. There's a safety driver in there at this point, obviously. But it shows that Tesla is working on, you know, all the fundamental pieces of, of having this be an app, sometimes hear from people that Tesla can't compete with Uber or Lyft because they don't have these things in place, but they do like they are in place. I never thought they were difficult to copy in the first place, but it's I think probably very exciting to people to hear that this is something that Tesla actually has now that does work. And it's more about just growing in and expanding it. So again, ultimately it's, it's really about FSD, but it's, it is nice to see that, you know, Tesla's already starting to do these things. And, you know, when it is employees, and it is sort of a safety driver role, they, that allows them to get really good data on, you know, how effective this is, how safe, like what are the disengagements for those specific use cases in those specific areas and start to build that data, build that confidence and, and things like that.
I'm actually really excited to hear that. I expect to roll out ride hailing in California and Texas next year. So again, I don't think Tesla like cares too much about, okay, we're doing Tesla network and we have like drivers like Uber or Lyft would. I just, I know, Arc spend big on that for many years. I've never cared about that because I don't think Tesla cares about that. And kind of their answer reflected that right like the answer was basically we'll do whatever we need to from a regulatory perspective to collect whatever data we need to do. But it's not the goal. The goal is to get autonomous vehicles, driverless vehicles. That's the, that's the singular focus. They don't really care about like building up some like Tesla network network effect before that, because when something's autonomous and electric, the costs are going to be so low that why would you choose anything else? Plus, like we talked about before earnings came out today, it's so much, it's going to be so such a much more premium experience to not have to get in a car with a stranger and have them drive you around and you don't know how good of a driver they are and maybe you don't want to talk to them and like all these sort of things versus getting in like your own little personal movie theater. It's, you know, it's going to be quiet. It's going to have good entertainment. It's going to have a good sound system, all these sort of things, and it's going to drive safely.
You know, once it gets to a certain point, there's just literally no reason to unless you're like very social to try to get in a new burr lift once this exists. So, I don't think adoption rate is going to be the challenge with those sort of things. So anyway, back to this point though, I'm excited to see that they, you know, initially are going to roll this out and it probably will have a safety driver at first, but it sounds like that would just be because of, you know, showing the data from a regulatory perspective to be able to move that remove that driver as fast as they can. You know, if there's no other path, then obviously that's the path that Tesla has to follow was kind of the might take away on that. Yeah, so obviously profound and inflection point for the company, safety report.
So, again, something we would have talked about in Tesla daily, but if you guys didn't see the safety report, the best way to look at that is sort of the year over year progress. There can be some seasonality in the data there, but like we've looked at in the past, the trend overall on, you know, accidents when FSD is engaged or when autopilot is engaged continues to be, you know, very strongly positive. And now that we're many years into it, like you can definitely see significant improvement in that time period.
So the best way to look at that is year over year or rolling 12 month or, you know, maybe even rolling like six or nine months, but continues to show progress. So that's exciting to see. Uh, expanding training capacity. Yep. So we know that not constraints. We talked about that. Having a giant fleet is very helpful in that regard, obviously. The optimist hands. We talked about that a little bit earlier today. I thought Elon was going to say something about like the timing, but I think he got distracted on his train of thought and like went a different direction.
It sounded like he was going to say when that next version of Optimus was going to be, but I don't think he ever did, unfortunately. Um, yeah, other humanoid companies, I'm, I mean, I don't know, personally, not like super excited about. I think I agree very strongly with what, with what Elon said here. Um, Tesla has the AI capability. They have the production capability. I just, I think it would be very difficult to compete with Tesla on this. Um, so 200 packs a week, 40, you go about our run rates. Sounds like Shanghai will scale similarly to how laythrups scaled with starting to bring a, you know, kind of one line on, which could do 20 gigawatt hours.
And then I'm sure they'll expand and do a second line and 40 gigawatt hours. Uh, Elon saying it won't be long before we're shipping, you know, a hundred gigawatt hours per year. In the last, you know, where I get, I guess like a 30 gig of watt hour per year run rate right now, uh, over the last two quarters roughly. So. Yeah, another tripling won't be long. Um, ultimately growing to multiple terawatt hours per year. So yeah, I think, you know, once you get Shanghai, way through fully on board, it seems, seems to me like they could probably even improve this beyond 40 gigawatt hours at, at laythrough up, which if they do that, then that could probably even happen at Shanghai too.
Maybe those two alone can do a hundred gigawatt hours. Um, and you know, maybe you start to see that in, in 2026 even. So, um, yeah, very exciting on the energy business and obviously very strong margins there so far. All right, some more energy stuff. I think it's important to reiterate that Tesla's focused on building the future of these things. Others are focused on your term trends. Again, it's like that public versus private company split, like Tesla should and kind of does operate as, as though they are a private company. That just happens to be public.
So it's just, you know, worth keeping those things in mind. It's about the long term vision. That's what Tesla's focused on. You'll want to get in thinking Tesla will become the most valuable company in the world. Financial stuff, we kind of went through all that. Awareness gap, playing to make that awareness gap smaller. I don't know if that was specific to ASP or if it was, I think it was probably about the financing things. So stating the margins in the fourth quarter will likely be challenging. So important to note that, that could temper some of the enthusiasm. And again, we'll have to see what the margins look like, excluding the FSD recognition this quarter, which we don't have yet.
Interest rates, fluctuation in energy, margin fluctuation in energy as well. Backlog, quarter over quarter in energy, which is great to hear since they are delivering such high volumes. I didn't really fully catch the automotive cost of goods sold comments, but it sounded like the comments were just directionally. They're going to continue to try to drive those down, which obviously makes sense, but it's difficult.
CapEx, all right, so here we get into the questions. So still on track to deliver more affordable model next year. So playing for lower cost vehicles next year, Robotaxia is the marriage of EV and autonomy, but obviously that's not next year. And then I didn't catch the full comment, but he said something about something being sub 30,000 with incentives. If anyone has like what language you use, pop that in the chat, I'll try to keep an eye on it. But otherwise, I have to go back and listen to that part, which just starts at the beginning of the investor questions.
But yeah, to me, that makes me think something will come in sort of like that 37, you know, 35, 37,000 price range. I think that's the plan for vehicles until Robotaxia. And again, I think Robotaxia, no steering wheel, no pedals. So I don't think we're going to see like a $25,000 car that is just a normal car that you can buy and go drive around.
Very quickly that the future is autonomous. So again, reiterating that right after this question of like, are there more affordable models next year? Well, Robotaxia is coming. So it doesn't really matter too much. WeMO 1000 cars, Tesla makes 35,000 cars a week. So we said a lot of great things about just the manufacturing process of cybercat and the production design, which you know, you look at the vehicle, especially like the interior like, yeah, this is like, it's just kind of like any other car. It's simple, not that it, you know, it does look a little bit different, but fundamentally looks like a car.
And that doesn't really give you the insight that that Tesla has into how it came to look like that and be produced and manufactured in that way. So, you know, they're thinking that this is somewhere on the order of like five times better. I don't know if that means versus like a Tesla benchmark or just other companies where maybe Tesla feels like they're already like two times better. So this is more like a two and a half times from that. That's probably more of what I would think.
But yeah, it's exciting to hear their optimism on on the manufacturing process, which I think is probably an extension of what we heard for the master plan part three when they kind of broke down the unbox process and things like that. So, you know, that's where Elon said, yeah, that would then roughly cost $25,000. He could be talking about the cost to produce it, which then yeah, you could sell it for 30,000 less than 30,000, which that mass matches up with his comments during Robot's Axie Day.
So I think that makes sense. And that's again, why I don't expect anything in that price range that, you know, has a steering wheel or things like that, because that would then, you know, add to the cost. He said won't have a steering wheel, won't have pedals, but you could buy one. Server center stuff. Yeah, I mean, obviously Tesla's always working on that.
Semi continue to be super excited about semi. It's just, you know, one of those things where there's going to be years long development process. And at some point, it's going to start to contribute to the business, similar to, you know, what we've seen for cyber truck. But really excited about semi incorporating accent grok. Nothing too interesting on that point.
Um, unsupervised FSD. So we kind of already talked about that stuff. Yeah, what's the plan for 2025 kind of already talked about that stuff as well. Roadster, they're close to finalizing the design. I thought they had maybe already finalized it or had said this before. So it doesn't seem like any major update there. Unfortunately for those interested in Roadster, probably still be a bit.
Um, robot taxi rollout. So, you know, very much acknowledged that it's going to continue to make, you know, the first versions as we get them updated are going to ship on hardware for now. Um, then back into hardware three as they can optimize those newer versions. Uh, so it sounds like that'll continue. Not, not too surprising as we started to see that, you know, in the last few months.
Um, I think the question was, unfortunately, the question was kind of long. So it was multiple questions rolled into one, which for those of you that remember when I, I didn't, you know, submitted my say questions and went through them and things like that. You got to be very specific and, and pointed with your questions. Otherwise they're going to answer something else and not answer what you actually asked. So, uh, just reiterating that feedback.
But in terms of hardware three versus hardware four, um, again, they said they're not exactly sure how that'll look. They're just going to have to wait and see how it comes together. Um, they did say that a hardware three can't achieve, you know, level five autonomous driving or whatever. However, Tesla wants to benchmark that, that they would upgrade people, uh, with hardware three for free. Now previously, I thought they had said that there's not really a path to do that. Hardware three to hardware four upgrade. Maybe they just mean they'll like offer some discounts on a trade in vehicle. Like that would seem like it would be the more probably easier and cost effective path. Um, but who knows, maybe, maybe I'm wrong on that. Maybe they can upgrade it. Maybe they only need to upgrade a part of it, whatever. Tesla will figure that out.
The point that I added here in parentheses is just that Tesla's going to try really, really, really hard to not have to do that because it would be very expensive. So they'll keep trying it could, you know, they could spend years trying to make it work for hardware three. So just keep that in mind before getting too excited about it. I agree. Tesla should do this. I think it's the right thing. I think, you know, upgrading those vehicles then allows them to contribute revenue to the test network as well. So there is some financial incentive there to do it for Tesla as well, but just try to keep that in mind that they, they'll probably try to do that for a long time before, um, sort of admitting defeat and allowing those upgrades, um, excess compute capacity.
I don't think we really got a good answer on that. You know, simulation. Um, yeah, I don't, I don't think they really specifically answered that, which again, I was part of, you know, I think multiple questions were asked. So they kind of just picked out other things. Um, safety drivers. Yeah, state by state, nothing new there. And then Adam Jones's question. So I've shared my thoughts on, on XA and Tesla before. So probably don't need to spend much time on that. But yeah, overall, I think just, uh, exciting to see, you know, positive reaction.
It's, I think it's kind of been some beat downs after the last, the last few earnings reports. So nice to have a reminder that it's not always that way. And, um, I think it's, you know, it's a combination of the, the positive gross margin that we saw, which led to a beat on the bottom line and people being more optimistic about what Tesla has in terms of flexibility on pricing and, uh, continuing to drive that volume up, uh, the reiteration of more affordable models next year. Um, I think that's, you know, positive, cyber truck, positive gross margin, also a positive, obviously tremendous progress with, with Tesla energy. They put, posted a good number with good margins. Um, and services and other also contributing positively to.
So just a lot of fundamentally good things in the, in the earnings report itself. Um, and then, you know, that positivity, I think bleeds through to a lot of the commentary that we heard today, uh, which some of which were, you know, again, reiterating the more affordable vehicles, the, you know, 2026 being volume production for the, for the cyber cab versus before maybe people thought, all right, maybe that started production. Maybe that actually slips to 2027. That's just projections. We'll see. It's a long ways away still, but, um, for that to be, you know, the volume production target is definitely encouraging, uh, just in terms of, you know, the time, uh, that it's going to take to get there. So I think a lot of good things in that regard, uh, a little bit more detail on kind of like the rollout plan, hearing that they're actually using the Tesla network, I think is very exciting and encouraging to a lot of people. Um, yeah. So I think a lot of really good things here today, uh, in terms of more negative things, I don't know, I'm sure there are some they're, they're not coming to mind as, as much right now.
Um, I think overall pretty positive. I think the biggest question that I've got is just the, you know, how much the FSD revenue recognition contributed. Cause obviously that's a more of a one time thing that would be, uh, backed out in terms of projections for the future. So we should get that information in the 10Q in the next few days. So definitely keep it out for that. But, uh, that's it. So if you want to check out the earnings report recap again, the link for that's in the description. Um, but always appreciate getting back and chatting Tesla with everybody here for a minute. Uh, appreciate all the super chats. It's always, you know, I'm so appreciative of that. Um, for you guys supporting and, you know, at the latest, we'll definitely be back for next quarter. I think some people maybe didn't get the message, but my plan is to continue to do these quarterly, at least.
So, uh, I'll be here, you know, next quarter for the key four earnings. Um, otherwise things are, things are great. Everything's really solid with first principles group. Uh, I think my decision to have to upgrade to hardware for here is they're making me more convinced with the commentary here. So, um, that's probably going to happen. So if you want to use my referral link, uh, and if you're making a similar decision to that's also in the description. Appreciate that. But, um, thank you all. We'll wrap it up. But, um, yeah, it's been, it's been a fun day and good to see everybody.
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