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’s $10 Trillion robot: Inside Tesla’s push to mass produce Optimus
Tesla’s surging Optimus job listings reveal a company sprinting from prototype to one million robot production.
Tesla is accelerating its push to bring the Optimus humanoid robot to high volume production, and its recent job listings tells the story as clearly as any earnings call.
With well over 100 Optimus related job openings now posted across its U.S. facilities, Tesla is signaling a critical pivot for the program, moving it from a captivating tech demo to a serious manufacturing endeavor. Roles span the full spectrum of the product lifecycle, from Robotics Software Engineers and Manufacturing Engineers to Mechanical Integration Engineers and AI Engineers focused on world modeling and video generation. One active listing for a Software Engineer on the Optimus team asks candidates to build scalable and reliable data pipelines for Optimus manufacturing lines and develop automation tools that accelerate analysis and visualization for mass manufacturing.
Tesla is racing toward a one million unit annual production target. The clearest signal yet that Tesla is treating Optimus as its primary business came on January 28, 2026, during the company’s Q4 2025 earnings call. Musk announced that Tesla is ending production of the Model S and Model X, and will repurpose those lines at its Fremont, California factory to build Optimus humanoid robots.
A production intent prototype of Optimus Version 3 is planned to be ready in early 2026, after which Tesla intends to build a one million unit production line with a targeted production start by the end of 2026. To support that ramp, Tesla broke ground on a massive new Optimus manufacturing facility at Gigafactory Texas in late 2025, with ambitions to eventually reach 10 million units per year.
Tesla Giga Texas to feature massive Optimus V4 production line
The business case for scaling this aggressively is rooted in labor economics. Musk has stated that “Optimus has the potential to be the biggest product of all time,” reasoning that if Tesla can produce capable humanoid robots at scale and reasonable cost, every task currently performed by human labor becomes a potential application. In a separate statement, Musk framed Optimus’s long term importance even more bluntly, saying it could surpass Tesla’s vehicle business in scale with the potential to generate $10 trillion in revenue.
The industries Tesla is targeting first are those most burdened by repetitive physical labor. Early applications include manufacturing assembly, material handling and quality inspection, as well as logistics tasks like loading, unloading, sorting, and transporting goods in warehouses and distribution centers. Longer term, Tesla’s vision is for Optimus to penetrate household, medical, and logistics scenarios at the scale of a smartphone rollout.
News
Tesla officially begins sunset of Model S and Model X
In the latest move to show Tesla is planning to eliminate the Model S and Model X from production, the company’s Korean arm has officially set a firm cutoff date of March 31, 2026, for new orders of both models.
Tesla has officially started its process of sunsetting the Model S and Model X just months after the company confirmed it would stop producing the two flagship vehicles in 2026.
This step marks the end of an era for the vehicles that helped establish not only Tesla’s prowess as an automaker but also its status as a disruptor in the entire car industry. While these two cars have done a tremendous amount for Tesla, the signal that it is time to wind down their production has evidently arrived.
In the latest move to show Tesla is planning to eliminate the Model S and Model X from production, the company’s Korean arm has officially set a firm cutoff date of March 31, 2026, for new orders of both models.
This is the first time Tesla has announced a hard global deadline for the Model S and X, as after that date, only existing inventory will be available in South Korea.
The move to bring closure to the Model S and Model X aligns with CEO Elon Musk’s plans for Tesla moving forward. During the Q4 2025 Earnings Call in January, Musk said the two cars deserved an “honorable discharge” for what they have done for the company.
The long-running programs are primarily being removed so that manufacturing lines can be repurposed for high-volume manufacturing of the Optimus humanoid robot. Tesla is targeting a production rate of up to one million units each year.
The Model S and Model X being removed from Tesla’s plans is a tough choice, but it was one that was written on the wall. Sales of these premium models have declined sharply in recent years, and even with Plaid configurations that are performance-forward, the company still has had trouble getting them sold.
In 2025, the Model S and Model X together accounted for roughly 3 percent of Tesla’s global deliveries, down significantly from prior periods as competition intensified in the luxury EV segment and buyers shifted toward more affordable options like the Model 3 and Model Y.
The Model S saw sales drop over 50 percent year-over-year in some quarters, while the Model X faced similar pressures from rivals, including the Rivian R1S and BMW iX.
Despite their dwindling volume, the Model S and Model X remain technological showcases. The Plaid variants deliver blistering acceleration, advanced Full Self-Driving capability, and luxurious interiors.
The phase-out paves the way for Tesla’s strategic pivot toward autonomy, robotics, and higher-volume vehicles.
Tesla brings closure to flagship ‘sentimental’ models, Musk confirms
Fremont will continue producing the refreshed Model 3 and Model Y, ensuring the factory remains a key automotive hub while expanding into robotics. Tesla has stated that the shift is not expected to result in job losses and could increase headcount as Optimus production ramps up.
For Tesla fans, the sunset represents a bittersweet moment. The Model S, introduced in 2012, proved EVs could compete with luxury sedans, while the Falcon-wing-door Model X set new standards for family haulers. Owners can expect continued software support and service for years to come.
Many fans have pushed for the Model X to hang around due to its appeal for families.
With the two cars heading out, Tesla’s priority now becomes its future products, especially that of the Optimus robot, which is the main reason for the S/X platform’s conclusion.
News
Tesla shows off mysterious vehicle at Giga Texas
The mysterious structure, partially unboxed amid construction materials, has sparked widespread speculation among Tesla enthusiasts and analysts. Many are convinced it is the long-rumored Model Y L, the extended-wheelbase variant already popular in China, now arriving in Texas for potential U.S. production.
Tesla seemingly showed off a mysterious vehicle at Giga Texas, one that seems to be completely different than anything the company currently makes for the U.S. market.
The vehicle, which was spotted on the plant’s property, appears to be similar to the Model Y L that has not yet launched in North America, and is currently built at Gigafactory Shanghai in China.
Drone pilot Joe Tegtmeyer captured intriguing footage at Tesla’s Giga Texas on March 23, 2026, revealing what appears to be a large, blue plastic-wrapped vehicle body resting inside a wooden shipping crate outdoors.
Well this is interesting at Giga Texas today … what do YOU think this is? 🤔😎 pic.twitter.com/U9pLvqbf7L
— Joe Tegtmeyer 🚀 🤠🛸😎 (@JoeTegtmeyer) March 23, 2026
The mysterious structure, partially unboxed amid construction materials, has sparked widespread speculation among Tesla enthusiasts and analysts. Many are convinced it is the long-rumored Model Y L, the extended-wheelbase variant already popular in China, now arriving in Texas for potential U.S. production.
The images show an elongated silhouette that stands out from standard Model Y bodies. Side-by-side comparisons shared in replies to Tegtmeyer’s post highlight key differences: the rear door extends farther over the wheel arch than on a regular Model Y, and the rear glass appears to run all the way to the spoiler lip without the metal trim seen on shorter versions.
One overlay analysis noted that the visible proportions align precisely with the Chinese-market Model Y L, which measures approximately 4.98 meters long with a 3.04-meter wheelbase, which is about seven inches longer overall than the standard Model Y sold in the U.S.
Model Y L, with a support structure on top, likely for shipping. pic.twitter.com/ET3w46DjpJ
— Owen Sparks (@OwenSparks) March 23, 2026
The vehicle is a bare “body-in-white” shell, typical of prototypes sent abroad for tooling validation and local manufacturing ramp-up. Tesla has already launched the six- and seven-seat Model Y L in China and other markets, where it offers roughly 10% more cargo space and greater family-friendly versatility.
This sighting fits Tesla’s broader strategy. Industry observers expect the company to localize Model Y L production at Giga Texas by mid-2026 to serve American families seeking extra room without stepping up to the larger Cybertruck or a future full-size SUV.
Bringing the design stateside could add tens of thousands of annual deliveries while leveraging existing Model Y lines. People have been adamant that they want the Model Y L in the U.S., especially as Tesla plans to fade the Model X, the company’s most ideal vehicle for large families, out of production in the near future.
Tesla Model Y lineup expansion signals an uncomfortable reality for consumers
While Tesla has made no official comment, the timing, amid Giga Texas expansion and steady Model Y output, suggests the mysterious crate is more than a random prototype.
If confirmed as the Model Y L, it marks another step in Tesla’s effort to refresh its bestselling SUV for global demand. The vehicle would perform exceptionally well in the U.S., and despite the company’s rather mute stance on bringing it to America, this might be the biggest hint to date that it could be on the way.
Elon Musk’s $10 Trillion robot: Inside Tesla’s push to mass produce Optimus
Tesla officially begins sunset of Model S and Model X
Tesla shows off mysterious vehicle at Giga Texas
What is Digital Optimus? The new Tesla and xAI project explained
Elon Musk’s Boring Co. Tunnel Vision Challenge ends with a surprise for Louisiana, Maryland and Dallas
