Tesla’s AI Day is here. In a few minutes, Tesla watchers would be seeing executives like Elon Musk provide an in-depth discussion on the company’s AI efforts on not just its automotive business but on its energy business and beyond as well. AI Day promises to be yet another tour-de-force of technical information from the electric car manufacturer. Thus, it is no surprise that there is a lot of excitement from the EV community heading into the event.
Tesla has kept the details of AI Day behind closed doors, so the specifics of the actual event are scarce. That being said, an AI Day agenda sent to attendees indicated that they could expect to hear Elon Musk speak during a live keynote, speak with Andrej Karpathy and the rest of Tesla’s AI engineers, and participate in breakout sessions with the teams behind Tesla’s AI development.
Similar to Autonomy Day and Battery Day, Teslarati would be following along on AI Day’s discussions to provide you with an updated account of the highly-anticipated event. Please refresh this page from time to time, as notes, details, and quotes from Elon Musk’s keynote and its following discussions will be posted here.
Simon 19:40 PT – A question about the use cases for the Tesla Bot was asked. Musk notes that the Tesla Bot would start with boring, repetitive, work, or work that people would least like to do.
Simon 19:25 PT – A question about AI and manufacturing is asked and how it potentially relates to the “Alien Dreadnaught” concept. Musk notes that most of Tesla’s manufacturing today is already automated. Musk also noted that humanoid robots would be done either way, so it would be great for Tesla to do this project, and safely as well. “We’re making the pieces that would be useful for a humanoid robot, so we should probably make it. If we don’t someone else will — and we want to make sure it’s safe,” Musk said.
Simon 19:15 PT – And the Q&A starts. First question involves open-sourcing Tesla’s innovations. Musk notes that it’s pretty expensive to develop all this tech, so he’s not sure how things could be open-sourced. But if other car companies would like to license the system, that could be done.
Simon 19:11 PT – There will really be a “Tesla Bot.” It would be built by humans, for humans. It would be friendly, and it would eliminate dangerous, repetitive, boring tasks. This is still petty darn unreal. It uses the systems that are currently being developed for the company’s vehicles. “There will be profound applications for the economy,” Musk said.
Simon 19:06 PT – New products! A whole Tesla suit?! After a fun skit, Elon says the “Tesla Bot” would eventually be real.
Simon 19:00 PT – What is crazy is that Dojo is not even done. This is just what it is today. Dojo is still evolving, and it is going to be way more powerful in the future. Now, it’s Elon Musk’s turn. What’s next for Tesla beyond vehicles.
Simon 19:00 PT – Venkataramanan teases the ExaPOD. Yet another revolutionary solution from Tesla. With all this, it is evident that Tesla’s approach to autonomy is on a whole other level. It would not be surprising if it takes Wall Street and the market a few days to fully absorb what is happening here.
Simon 18:55 PT – The specs of Dojo are insane. Behind its beastly specs, it seems that Dojo’s full potential lies in the fact that all this power is being used to do one thing: to make autonomous cars possible. Dojo is a pure learning machine, with more than 500,000 training nodes being built together. Nine petaflops of compute per tile, 36 terabytes per second of off-tile bandwidth. But this is just the tip of the iceberg for Dojo.
Simon 18:50 PT – Ganesh Venkataramanan, Project Dojo’s lead, takes the stage. He states that Elon Musk wanted a super-fast training computer to train Autopilot. And thus Project Dojo was born. Dojo is a distributed compute architecture connected by network fabric. It also has a large compute plane, extremely high bandwidth with low latencies, and big networks that are partitioned and mapped, to name a few.
Simon 18:45 PT – Milan Kovac, Tesla’s Director of Autopilot Engineering takes the stage. He notes that he would discuss how neural networks are run in the company’s cars. He notes that Tesla’s systems require supercomputers.
Simon 18:40 PT – Ashok notes that simulations have helped Tesla a lot already. It has, for example, helped the company identify pedestrian, bicycle, and vehicle detection and kinematics. The networks in the vehicles were traded to 371 million simulated images and 480 million cuboids.
Simon 18:35 PT – Ashok notes that these strategies ultimately helped Tesla retire radar from its FSD and Autopilot suite and adopt a pure vision model. A comparison between a radar+camera system and pure vision shows just how much more refined the company’s current strategy is. The executive also touched on how simulations help Tesla develop its self-driving systems. He states that simulations help when data is difficult to source, difficult to label, or in a closed loop.
Simon 18:30 PT – Ashok returns to discuss Auto Labeling. Simply put, there is so much labeling that needs to be done that it’s impossible to be done manually. He shows how roads and other items on the road are “reconstructed” from a single car that’s driving. This effectively allowed Tesla to label data much faster, while allowing vehicles to navigate safely and accurately even when occlusions are present.
Simon 18:25 PT – Karpathy returns to talk about manual labeling. He notes that manual labeling that’s outsourced to third-party firms is not optimal. Thus, in the spirit of vertical integration, Tesla opted to establish its own labeling team. Karpathy notes that in the beginning, that Tesla was using 2D image labeling. Eventually, Tesla transitioned to 4D labeling, where the company could label in vector space. But even this was not enough, and thus, auto labeling was developed.
Simon 18:23 PT – The executive states that traffic behavior is extremely complicated, especially in several parts of the world. Ashok notes that this partly illustrated by parking lots and how they are actually complex. Summoning a car from a parking lot, for example, used to utilize 400k notes to navigate, resulting in a system whose performance left much to be desired.
Simon 18:18 PT – Ashok notes that when driving alongside other cars, Autopilot must not only think about how they would drive, they must also think about how other cars would operate. He shows a video of a Tesla navigating a road and dealing with multiple vehicles to demonstrate this point.
Simon 18:15 PT – Director of Autopilot Software Ashok Elluswamy takes the stage. He starts off by discussing some key problems in planning in both non-convex and high-dimensional action spaces. He also shows Tesla’s solution to these issues, a “Hybrid Planning System.” He demonstrates this by showing how Autopilot performs a lane change.
Simon 18:10 PT – Karpathy’s discussion notes that today, Tesla’s FSD strategy is a lot more cohesive. This is demonstrated by the fact that the company’s vehicles could effectively draw a map in real-time as it drives. This is a massive difference compared to the pre-mapped strategies employed by rivals in both the automotive and software field like Super Cruise and Waymo.
To solve several problems encountered over the last few years with the previous suite, Tesla re-engineered their NN learning from the ground up and utilized a multi-head route, camera calibrations, caching, queues, and optimizations to streamline all tasks.
(heavily simplified) pic.twitter.com/LG2TRgjxip
— Teslascope (@teslascope) August 20, 2021
Simon 18:05 PT – The AI Director discusses how Tesla practically re-engineered their neural network learning from the ground-up and utilized a multi-head route. These include camera calibrations, caching, queues, and optimizations to streamline all tasks. Do note that this is an extremely simplified iteration of Karpathy’s discussion so far.
Simon 18:00 PT – Karpathy covers more challenges that are involved in even the basics of perception. Needless to say, AI Day is quickly proving to be Tesla’s most technical event right off the bat. That said, multi-camera networks are amazing. They’re just a ton of work, but it may very well be a silver bullet for Tesla’s predictive efforts.
Simon 17:56 PT – Karpathy showcases a video of how Tesla used to process its image data in the past. He shows a popular video for FSD that has been shared in the past. He notes that while great, such a system proved to be inadequate, and this is something that Tesla learned when it launched Smart Summon. While per-camera detection is great, the vector space proves inadequate.
Simon 17:55 PT – Karpathy noted that when Tesla designs the visual cortex in its car, the company is modeling it to how a biological vision is perceived by eyes. He also touches on how Tesla’s visual processing strategies have evolved over the years, and how it is done today. The AI Director also touches on Tesla’s “HydraNets,” on account of their multi-task learning capabilities.
Simon 17:51 PT – Karpathy starts off by discussing the visual component of Tesla’s AI, as characterized by the eight cameras used in the company’s vehicles. The AI director notes that AI could be considered like a biological being, and it’s built from the ground up, including its synthetic visual cortex.
Simon 17:48 PT – Elon Musk takes the stage. He apologizes for the event’s delay. He jokes that Tesla probably needs AI to solve these “technical difficulties.” The CEO highlights that AI Day is a recruitment event. He calls Tesla’s head of AI Andrej Karpathy. There’s no better person to discuss AI.
Simon 17:45 PT – We’re here watching the AI Day FSD preview video and we can’t help but notice that… are those Waypoints?!
Simon 17:38 PT – Looks like we’ve got an Elon sighting! And a preview video too! Here we go, folks!
We’ve got an Elon sighting
— Rob Maurer (@TeslaPodcast) August 20, 2021
Simon 17:30 PT – A 30-minute delay. We haven’t seen this much delay in quite a bit.
Simon 17:20 PT – It’s a good thing that Tesla has great taste in music. Did Grimes mix this track?
Simon 17:15 PT – We’re 15 minutes in. “Elon Time” is going strong on AI Day. To be honest, though, this music would fit the “Rave Cave” in Giga Berlin this coming October.
Simon 17:10 PT – A good thing to keep in mind is that AI Day is a recruitment event. Some food for thought just in case the discussions take a turn for the extremely technical. AI Day is designed to attract individuals who speak Tesla’s language in its rawest form. We’re just fortunate enough to come along for the ride.
Tesla Board Member Hiro Mizuno sums it up in this tweet pretty well.
Anybody passionate about real world AI !! https://t.co/ydaWQlkE4O
— HIRO MIZUNO (@hiromichimizuno) August 20, 2021
Simon 17:05 PT – I guess AI Day is starting on “Elon Time?” We’re on to the next track of chill music.
Simon 17:00 PT – And with 5 p.m. PST here, the music is officially live on the AI Day live stream. Looks like we’re in for some wait. Wonder how many minutes it would take before it starts? Gotta love this chill music though.
Simon 16:58 PT – While waiting, I can’t help but think that a ton of TSLA bears and Wall Street would likely not understand the nuances of what Tesla would be discussing today. Will Tesla go three-for-three? It was certainly the case with Battery Day and Autonomy Day.
Made it pic.twitter.com/aAWqxgf0bP
— Johnna (@JohnnaCrider1) August 19, 2021
Simon 16:55 PT – T-minus 5 minutes. Some attendees of AI Day are now posting some photos on Twitter, but it seems like photos and videos are not allowed on the actual venue of the event. Pretty much expected, I guess.
Simon 16:50 PT – Greetings, everyone, and welcome to another Live Blog. This is Tesla’s most technical event yet, so I expect this one to go extremely in-depth on the company’s AI efforts and the technology behind it. We’re pretty excited.
Don’t hesitate to contact us with news tips. Just send a message to tips@teslarati.com to give us a heads up.
Elon Musk
Tesla Model Y L might not come to the U.S., and it’s a missed opportunity
The Model Y L has a variety of big changes that would be advantageous for the U.S. market, including a longer wheelbase, more comfortable seats, a third row that appears to be more spacious than Tesla’s six-seat Model Y that it previously offered, B-Pillar vents for rear passengers, and more.
Tesla’s new Model Y L might not come to the U.S., CEO Elon Musk said this morning.
It’s a missed opportunity, and I’m not the only one who feels this way.
In the past, I have personally written a handful of articles about what Tesla owners have been wanting in the United States: a full-sized SUV, or at least a vehicle that is larger than the Model Y but less of a crossover than the Model X.
Tesla is missing one type of vehicle in its lineup and fans want it fast
The only thing that Tesla has announced that even slightly matches this sort of idea is the Robovan, which is, optimistically, several years off because it lacks a steering wheel and pedals and will require Full Self-Driving to be fully autonomous.
Even if Tesla launches FSD next year, it will take a year or two to figure out manufacturing, go through regulatory hurdles with the EPA, and eventually enter mass production for customers.
The Model Y L has a variety of big changes that would be advantageous for the U.S. market, including a longer wheelbase, more comfortable seats, a third row that appears to be more spacious than Tesla’s six-seat Model Y that it previously offered, B-Pillar vents for rear passengers, and more.
However, Musk said it won’t come to the U.S. until next year, and that it “might not ever, given the advent of self-driving in America.”
This variant of the Model Y doesn’t start production in the US until the end of next year.
Might not ever, given the advent of self-driving in America.
— Elon Musk (@elonmusk) August 20, 2025
To be blunt, I’m not sure if I truly believe that Musk thinks the Model Y L won’t come to the U.S. Some believe he said this to not Osborne Effect Model Y sales here, which seems more likely than anything.
Tesla Model Y L gets disappointingly far production date in the United States
People have been buying the Model Y for two years more than any other car in the world. To act as if many families would not appreciate the extra space seems very strange; a big complaint with the Model Y is that it simply does not fit larger families.
If you have four kids, you’re forced into the Model X, which might be too expensive for some families, as it starts at $79,990.
While Tesla’s focus is undoubtedly on autonomy, it is important to remember that some people still really enjoy the act of driving their cars. Tesla has worked very hard to create a fun and sporty driving experience, especially in the new Model Y. Many consumers, including myself, like to take advantage of that.
Autonomy might eventually take over human driving completely, but in the near term, it does not seem as if that is the case. Even if someone were interested in never driving again, this longer and more spacious Model Y L would be an ideal option for American families that need the room for at least six passengers.
Quite a few big names in the Tesla community share this sentiment:
I’m a little surprised by this.
I think the Model Y L would sell extremely well in North America, even with the advent of self-driving. Americans love their larger SUVs. Bigger families here want the Model Y L. There is a need in North America for larger all-electric SUVs at a… https://t.co/v7D1IpCnET
— Sawyer Merritt (@SawyerMerritt) August 20, 2025
More than likely, Musk does not want to announce a more attractive option than the current Model Y, as many consumers would likely wait a year or two for the L in an effort to have more space.
In all honesty, I see the Model Y L coming to the United States, as it truly fits the bill as an ideal car for the modern American family.
Elon Musk
Tesla’s Elon Musk shares optimistic teaser about FSD V14: “Feels sentient”
FSD V14 is arguably the second biggest update to Tesla AI/Autopilot after the release of V12, Musk wrote.
Tesla CEO Elon Musk has provided a rather exciting teaser about the capabilities of Full Self-Driving’s (FSD) upcoming V14 update.
As per Musk, V14 is arguably the second biggest update to Tesla AI/Autopilot after the release of V12, which started its initial rollout to Tesla employees way back November 2023.
Tesla FSD V14
Elon Musk has been teasing the capabilities of FSD V14 in recent weeks. Earlier this month, the CEO shared that FSD V14 will feature a 10X higher parameter count, and it will also nag drivers significantly less than the system’s current iteration. While FSD V14 is not Unsupervised FSD, which is being used in the Austin Robotaxi pilot, it is expected to be a significant improvement nonetheless.
“The FSD release in about 6 weeks will be a dramatic gain with a 10X higher parameter count and many other improvements. It’s going through training & testing now. Once we confirm real-world safety of FSD 14, which we think will be amazing, the car will nag you much less,” Musk wrote in his post.
“Feels sentient”
Musk recently shared some more details about FSD V14 on X. In response to a video of a William Blair analyst who mentioned that Tesla’s Robotaxi service felt a lot more like a person was driving it compared to Waymo’s robotic maneuvers, Musk noted that “Version 14 of Tesla self-driving fells sentient.”
Musk also clarified that the system that the William Blair analyst experienced was Version 13, so the system’s performance will definitely get even better. “He was just on version 13. Version 14 is the second biggest update to Tesla AI/Autopilot ever after V12. It feels alive,” Musk wrote in his post.
Musk’s comments bode well for the rollout of FSD V14. So far, FSD has reached a point where drivers and passengers have commented that the system already operates a vehicle in a very cautious and humanlike manner. Having a system that feels “sentient,” as the CEO noted, would most definitely be game-changing.
News
Tesla Model Y L attracts crowds across China stores
The Tesla Model Y L is shaping up to be a big hit in China.
Tesla has officially rolled out the Model Y L, a six-seat variant of its best-selling SUV, across all showrooms in China, and it is getting a lot of attention from potential buyers.
Images and videos from Tesla stores in China show crowds of people checking out the recently released extended wheelbase all-electric crossover.
Model Y L details
The vehicle, which carries a starting price of RMB 339,000 ($47,180), went live in Tesla China’s configurator this week. Deliveries are scheduled to begin in September, and early media reviews have already been released following the lifting of an embargo.
Unlike a full model refresh, the Model Y L is positioned as a new variant within the existing Model Y lineup. It joins the five-seat rear-wheel drive (RWD) and long-range all-wheel drive (AWD) Model Y variants currently available in China.
The six-seat Model Y L features dual-motor all-wheel drive, a 0–100 km/h time of 4.5 seconds, and an 82.0-kWh battery pack from LG Energy Solution. Its CLTC-rated range reaches 751 km, the highest among Tesla’s Model Y trims.
So far, the reception to the Model Y L appears to be very warm, with photos and videos of stores in locations such as Shanghai and Shenyang showing numerous people checking out the recently released vehicle. Reports from industry watchers in China also suggest that Tesla received about 35,000 orders for the Model Y L on its first day of release.
Market backdrop
The timing of the Model Y L’s release comes as Tesla faces headwinds in China’s competitive SUV segment. Between January and July, Model Y retail sales in the country reached 202,257 units, a 17.15 percent decline compared to the same period last year, according to data cited by CNEVPost. It should be noted, however, that a good portion of this decline was due to the retooling of Tesla’s factories to make way for the new Model Y.
Despite the slowdown, the Model Y remains one of Tesla’s strongest performers globally. By introducing a higher-range, six-seat option, Tesla appears to be positioning the Model Y L as a way to boost demand and appeal to new buyers in a market that was previously only accessible to the much more expensive Model X.
Tesla Model Y L might not come to the U.S., and it’s a missed opportunity
Tesla’s Elon Musk shares optimistic teaser about FSD V14: “Feels sentient”
Tesla Model Y L attracts crowds across China stores
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