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
Elon Musk: Tesla Model Y is world’s best-selling car for 3rd year in a row
The Model Y has now established an impressive streak that would otherwise have been impossible before Tesla.
Elon Musk has announced that the Tesla Model Y has become the world’s best-selling car by volume for the third consecutive year, capping 2025 with another dominant performance.
The Model Y has now established an impressive streak that would otherwise have been impossible before Tesla.
Three years in a row
Musk posted on X: “Tesla Model Y is now officially the world’s best-selling car for the third year in a row!” The CEO’s comment echoed an update that Tesla included in its 2025 recap, which highlighted, among other things, the Model Y’s incredible streak.
The Model Y has held the title since 2023, outperforming traditional leaders like the Toyota RAV4 and Corolla thanks to its bang-for-the-buck nature and its stellar combination of practicality, performance, and tech. The Model Y is also lauded as one of the safest vehicles on the road, making it an ideal choice for families in key markets such as China.
An impressive 2025
The Model Y’s sales feat in 2025 is especially impressive considering the introduction of the vehicle’s new variant. Tesla’s changeover to the new Model Y across its global factories resulted in sales being paused for some time in the first quarter. As per Tesla’s Q1 2025 vehicle delivery and production report, “the changeover of Model Y lines across all four of our factories led to the loss of several weeks of production in Q1.”
This suggests that the Model Y’s sales remained strong in 2025 to the point where it could still claim the title of the world’s best-selling vehicle by volume, even with its sales being throttled during the first quarter of the year. It would then be interesting to see just how far the Model Y can go in 2026, especially considering the rollout of new variants like the six-seat extended wheelbase Model Y L, the affordable Model Y Standard, and the top-tier Model Y Performance.
News
Tesla shares epic 2025 recap video, confirms start of Cybercab production
The cinematic montage, posted by the official Tesla account on X, celebrated the company’s progress in EVs, energy, and Robotaxi development.
Tesla has released an epic year-in-review video for 2025, recapping some of its major achievements from refreshed models to autonomy breakthroughs and production ramps.
The cinematic montage, posted by the official Tesla account on X, celebrated the company’s progress in EVs, energy, and Robotaxi development while looking ahead to an even bigger 2026.
Tesla’s 2025 highlights recap
Tesla has had a busy 2025, as highlighted in the recap video. The video opened with Elon Musk explaining the company’s pursuit of sustainable abundance. A number of milestones were then highlighted, such as the rollout of FSD v14, Optimus’ numerous demos, the opening of the Tesla Diner in Hollywood, LA, the completion of the world’s first autonomous car delivery, and the launch of the Robotaxi network in Austin and the San Francisco Bay Area.
Tesla also highlighted several of its accomplishments over the year. As per the company, the Model Y was the year’s best-selling vehicle globally again, and Teslas became more affordable than ever thanks to the Model 3 and Model Y Standard. Other key models were also rolled out, such as the refreshed Model S and X, as well as the new Model Y, the new Model Y Performance, and the six-seat, extended wheelbase Model Y L.
The Megablock was also unveiled during the year, and the Supercharger Network grew by 18%. Over 1 million Powerwalls were also installed during the year, and the Cybertruck became the first EV truck to get both an IIHS Top Safety Pick+ award and an NHTSA 5-Star safety rating.
Cybercab production confirmed
Interestingly enough, Tesla also confirmed in its 2025 recap video that the production of the Cybercab has started. This bodes well for the vehicle, as it could result in the vehicle really being mass-produced in the first half of 2026. Elon Musk confirmed during the 2025 Annual Shareholder Meeting that Cybercab production should earnestly start around April 2026.
Musk has also noted that the Cybercab will be Tesla’s highest-volume vehicle yet, with the company aiming for an annual production rate of about 2 million units. “If you’ve seen the design of the Cybercab line, it doesn’t look like a normal car manufacturing line,” Musk said earlier this year. “It looks like a really high-speed consumer electronics line. In fact, the line will move so fast that actually people can’t even get close to it.”
News
Tesla Cybercab is changing the look of Austin’s roads, and it’s not even in production yet
Videos and photos showed the sleek, two-seat autonomous vehicles navigating traffic.
Even before entering production, Tesla’s Cybercab is already transforming the appearance of Austin’s streets, with multiple prototypes spotted testing in downtown areas recently.
Videos and photos showed the sleek, two-seat autonomous vehicles navigating traffic. Interestingly enough, the vehicles were equipped with temporary steering wheels and human safety drivers.
Recent Cybercab sightings
Over the weekend, enthusiasts captured footage of two Cybercabs driving together in central Austin, their futuristic silhouettes standing out amid regular traffic. While the vehicles featured temporary steering wheels and side mirrors for now, they retained their futuristic, production-intent exterior design.
Industry watcher Sawyer Merritt shared one of the vehicles’ videos, noting the increasing frequency of the autonomous two-seater’s sightings.
Previewing the autonomous future
Sightings of the Cybercab have been ramping in several key areas across the United States in recent weeks. Sightings include units at Apple’s Visitor Center in California, the Fremont factory test track, and in Austin’s streets.
The increased activity suggests that Tesla is in overdrive, validating the autonomous two-seater ahead of its planned volume production. Elon Musk confirmed at the 2025 Shareholder Meeting that manufacturing begins around April 2026 with ambitious targets, and during an All-Hands meeting earlier this year, Musk hinted that ultimately, Tesla’s factories should be able to produce one Cybercab every 10 seconds.
Elon Musk: Tesla Model Y is world’s best-selling car for 3rd year in a row
Tesla shares epic 2025 recap video, confirms start of Cybercab production
