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.
News
Elon Musk drops a bomb regarding Tesla Model S, X inventory
After more than a decade on the road, the original flagship sedan and SUV platforms are effectively at the end of the line. Production of new Model S and Model X vehicles has ceased, and custom orders were quietly halted in early April. What remains are roughly a few hundred factory inventory units scattered across the globe, mostly Plaid variants, and they are disappearing fast.
Elon Musk just dropped a bomb regarding Tesla Model S and X inventory, and as the company is phasing out the flagship vehicles, it sounds like the time to purchase one brand new is almost over.
Musk confirmed on Wednesday that there are “only a few hundred Tesla Model S & X cars left in inventory. Order now if you want one.”
Tesla is running out of units rather quickly.
The message from Musk reads like a final call for two of the company’s most storied vehicles.
Only a few hundred Tesla Model S & X cars left in inventory. Order now if you want one.
— Elon Musk (@elonmusk) April 8, 2026
After more than a decade on the road, the original flagship sedan and SUV platforms are effectively at the end of the line. Production of new Model S and Model X vehicles has ceased, and custom orders were quietly halted in early April. What remains are roughly a few hundred factory inventory units scattered across the globe, mostly Plaid variants, and they are disappearing fast.
The news marks the close of a remarkable 14-year chapter. Launched in 2012, the Model S redefined the electric vehicle with blistering acceleration, over-the-air updates, and a luxury interior that embarrassed traditional sedans.
The Model X followed in 2015, turning heads with its Falcon-wing doors and seating for seven.
Together, the Model S and Model X proved EVs could be desirable halo cars, not just eco-friendly commuters. Their departure clears factory space at Tesla’s Fremont plant for something the mass production of the Optimus humanoid robot, which Musk believes will be the greatest contributor to the company’s value.
Musk has repeatedly signaled that Tesla’s future lies beyond passenger cars. Resources once devoted to low-volume flagships are shifting toward autonomy, Robotaxis, and AI hardware. Optimus, the company’s general-purpose robot, is expected to handle manufacturing, household chores, and eventually complex labor.
In the short term, the scarcity has already driven prices on remaining inventory up by about $15,000, turning the last Model S and X into instant collector’s items.
Tesla uses Model S and X ‘sentimental’ value to enforce massive pricing move
The announcement underscores Tesla’s relentless pivot. While the Model Y continues to hold strong sales, the legacy S and X represented an earlier era of pure performance luxury.
The future has been paved by Tesla and Musk’s focus on autonomy, at least in the United States. Customers continue to call for a large SUV, which might be on the way after a recent nudge from Musk on X.
However, whatever the future holds, it has been forged by Tesla’s two flagship vehicles.
Once these final cars are gone, the Model S and Model X will live on only in driveways, forums, and the rear-view mirror of automotive history.
News
Tesla Cybercab production ignites with 60 units spotted at Giga Texas
Designed exclusively for unsupervised Full Self-Driving, the Cybercab promises to deliver safe, affordable, on-demand mobility without human drivers. Early units with temporary controls allow engineers to refine hardware and software in controlled settings before full autonomous fleets hit the roads.
Tesla Cybercab production at Giga Texas seems to have ignited, as 60 units were spotted outside of the production facility on Wednesday, with speculation hinting the all-electric ride-hailing vehicle could be headed to the lineup sooner rather than later.
Interestingly, they were also spotted with steering wheels, which Tesla said the car would be void of.
Giga Texas observer and drone operator Joe Tegtmeyer shared on X a new post that revealed approximately 60 Cybercabs parked in two organized groups in the factory’s outbound lot—the largest concentration observed to date.
Happy 8 April (Wednesday) at Giga Texas, especially for those wanting an update on Cybercabs … I saw about 60 of them in two groups in the outbound lot today … the largest grouping yet!
Also, looks like at least some of these have white seats and most still have clearly… pic.twitter.com/mZbKH96bA7
— Joe Tegtmeyer 🚀 🤠🛸😎 (@JoeTegtmeyer) April 8, 2026
Tegtmeyer noted white seats inside several vehicles and clearly visible steering wheels on most. These are not yet the final steering-wheel-free production versions unveiled in 2024, but early units are likely undergoing validation testing for new features and real-world robotaxi operations across the country.
The timing could not be more symbolic. Tesla has consistently affirmed that mass manufacturing of the Cybercab would begin this month.
CEO Elon Musk has reiterated the April 2026 target multiple times, emphasizing that while initial output will be slow, following the classic S-curve of new-vehicle ramps, the Giga Texas line is being prepared to produce hundreds of units per week.
Tesla CEO Elon Musk outlines expectations for Cybercab production
The first Cybercab already rolled off the line in February, but April marks the official shift to volume production of this purpose-built, pedal- and steering-wheel-free autonomous vehicle.
These 60 Cybercabs signal far more than parked prototypes. They represent tangible proof that Tesla is executing on its ambitious robotaxi roadmap.
Designed exclusively for unsupervised Full Self-Driving, the Cybercab promises to deliver safe, affordable, on-demand mobility without human drivers. Early units with temporary controls allow engineers to refine hardware and software in controlled settings before full autonomous fleets hit the roads.
As production scales, Giga Texas, already home to Cybertruck production, will become the epicenter of Tesla’s autonomous revolution, targeting millions of vehicles annually in the years ahead.
For Tesla and its investors, this sighting underscores manufacturing excellence and timeline discipline. It counters skepticism about the company’s ability to deliver on next-generation vehicles amid a competitive autonomous landscape.
Broader implications are profound: lower transportation costs, reduced emissions, and safer roads as robotaxis proliferate. Musk’s vision of a future where Cybercabs operate 24/7, generating revenue for owners and riders alike, is now visibly underway.
With mass production officially ramping in April, today’s images are not just a snapshot of parked vehicles; they are the first frames of a mobility transformation. Tesla is not only meeting its commitments; it is accelerating toward an era where autonomy reshapes daily life. The Cybercab era has begun.
News
Tesla makes major rebound in European market with 4x in registrations
Tesla delivered a striking performance in Germany’s automotive market in March 2026, with new vehicle registrations more than quadrupling year-over-year, according to official data from the German Federal Motor Transport Authority (KBA).
Tesla headlines will have you believe the company is dead to rights in Germany, selling nearly no cars, and stating consumers are more interested in other brands not run by CEO Elon Musk.
However, the latest data from Germany proves this might be a dying narrative.
Tesla delivered a striking performance in Germany’s automotive market in March 2026, with new vehicle registrations more than quadrupling year-over-year, according to official data from the German Federal Motor Transport Authority (KBA).
Newly registered Tesla vehicles jumped 315.1 percent to 9,252 units, marking the company’s strongest March on record in the country and signaling a sharp rebound after earlier challenges in the European market.
A big 4x from Tesla in Germany in March in vehicle registrations
Don’t let anyone tell you Tesla is dead in Europe https://t.co/24hyus1xTF pic.twitter.com/205yPwncRv
— TESLARATI (@Teslarati) April 7, 2026
The March surge accounted for roughly 72 percent of Tesla’s first-quarter total in Germany. Q1 registrations reached 12,829 vehicles, a 160 percent increase from the same period a year earlier. For context, the implied March 2025 figure was approximately 2,229 units—one of the brand’s weaker months in recent years.
These numbers underscore Tesla’s ability to capitalize on renewed demand in Europe’s largest car market, where the company had faced softening sales throughout much of 2025 amid heightened competition and broader economic pressures.
Germany’s overall new passenger car market also expanded in March, with 294,161 registrations—a 16 percent rise from the prior year. Battery-electric vehicles (BEVs) performed even more robustly, climbing 66.2 percent to 70,663 units and representing about 24 percent of all new car registrations.
Tesla’s 9,252 deliveries captured approximately 13.1 percent of the BEV segment for the month and roughly 3.1 percent of the total new car market, highlighting its continued leadership among pure-play electric brands despite growing competition from both domestic German manufacturers and Chinese entrants like BYD, which saw its own registrations surge 327.1 percent to 3,438 units.
The strong showing comes as Germany’s EV incentives and infrastructure investments continue to support adoption. Tesla’s lineup, anchored by the Model Y and Model 3, appears to have resonated with buyers seeking premium electric options.
Industry observers note that the concentrated March registrations, accounting for the bulk of the quarter, may reflect strategic inventory management, competitive pricing adjustments, or pent-up demand following a slower start to 2026.
This performance provides a much-needed bright spot for Tesla in Europe, where the brand had seen market share erosion in prior periods.
Tesla Model Y outsells all EV rivals in Europe in 2025 despite headwinds
With Q1 2026 registrations up significantly, Tesla has demonstrated resilience in a market that registered 699,404 new passenger cars for the quarter, up 5.2 percent overall. As the year progresses, sustained momentum in Germany could bolster Tesla’s European outlook, particularly if broader BEV growth persists amid evolving policy support and technological advancements.
The March 2026 data from the KBA paints a picture of Tesla’s renewed strength in Germany: a fourfold monthly leap, record quarterly gains, and a solid foothold in an expanding EV segment.
Whether this marks the beginning of a sustained recovery or a seasonal peak remains to be seen, but the numbers affirm Tesla’s enduring appeal in one of the world’s most competitive automotive landscapes.
Elon Musk drops a bomb regarding Tesla Model S, X inventory
Tesla Cybercab production ignites with 60 units spotted at Giga Texas
