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
Tesla Robotaxi gets a small but significant change
In the world of Tesla, where billion-dollar battery breakthroughs and autonomy milestones dominate headlines, a quiet design update can still pack a punch.
In the world of Tesla, where billion-dollar battery breakthroughs and autonomy milestones dominate headlines, a quiet design update can still pack a punch.
Last week in downtown Austin, sharp-eyed observers spotted a subtle but telling evolution on the Cybercab: a new “ROBOTAXI” logo graphic now graces the vehicle’s doors at Tesla’s Autonomy Popup.
What looks at first glance like a minor stylistic choice is, in fact, a deliberate rebranding move that hints at how the company envisions its robotaxi fleet fitting into everyday life.
The updated lettering is bold, graffiti-inspired, and unapologetically street-smart. Rendered in black with dripping white accents and a glowing yellow outline, the font evokes urban energy and playful irreverence.
Live From Downtown Austin:
Tesla Cybercab with new logo Graphic at their Autonomy Popup pic.twitter.com/MTTb9KDr3b
— David Moss (@DavidMoss) March 13, 2026
Gone is the sleek, minimalist typography that defined earlier Cybercab prototypes. In its place is something more human, almost rebellious.
The new logo pops against the Cybercab’s smooth, metallic body, turning the autonomous pod into a rolling piece of public art rather than just another futuristic taxi.
Designers know that fonts are silent brand ambassadors. They shape perception before a single ride is taken. Tesla’s classic sans-serif aesthetic screams precision engineering and Silicon Valley cool.
The new Robotaxi script leans into accessibility and fun, suggesting the vehicle is approachable, not intimidating. For a product meant to ferry strangers through city streets 24/7, that matters. It signals that the robotaxi isn’t reserved for tech elites; it’s for everyone.
Tesla Cybercab spotted next to Model Y shows size comparison
The timing is no accident. With regulatory approvals for unsupervised autonomy advancing and Tesla preparing to scale Cybercab production, the company is shifting from prototype showcase to fleet deployment.
A fresh logo helps differentiate the vehicles visually in dense urban environments—crucial for rider recognition and brand recall. It also aligns with Elon Musk’s long-standing ethos: make the future feel exciting, not sterile.
Small changes like this often foreshadow a larger strategy. Tesla has always obsessed over details—door handles, screen interfaces, even the curvature of a steering wheel.
Updating the Robotaxi font reflects the same meticulous care now applied to consumer-facing autonomy. It’s not just paint on metal; it’s a statement that the ride of the future should feel personal, memorable, and undeniably cool.
In an industry racing toward self-driving fleets, Tesla’s willingness to evolve even the smallest visual cues shows confidence. A font won’t launch the robotaxi network, but it might just help millions climb aboard with a smile.
News
Tesla makes latest announcement on Model S and Model X
The announcement follows Tesla CEO Elon Musk’s statement on the Q4 2025 earnings call in late January. Musk described the decision as an “honorable discharge” for the two vehicles, noting that production would wind down in Q2 2026.
Tesla has officially begun winding down production of its flagship Model S and Model X in the United States, notifying owners via email that the long-running models will soon reach the end of the line.
The email, sent to U.S. customers on March 27, opens with gratitude. “Model S and Model X marked the beginning of the world’s transition to electric transportation,” it reads. “These vehicles also made it possible for Tesla to develop the technology that would move our world toward autonomy.”
It then delivers the news directly: “As we make way for this autonomous future, Model S and Model X production will be ending. If you’d like to bring home a new Model S or Model X, order yours soon from our limited inventory.”
Tesla just sent out a new email thanking Model S/X owners.
“These vehicles made it possible for Tesla to develop the technology that would move our world toward autonomy. As we make way for this autonomous future, Model S and Model X production will be ending. If you’d like to… pic.twitter.com/IeUhZ3iDnX
— Sawyer Merritt (@SawyerMerritt) March 27, 2026
The message closes with a simple thank-you: “Thank you for being part of our journey.”
The announcement follows Tesla CEO Elon Musk’s statement on the Q4 2025 earnings call in late January. Musk described the decision as an “honorable discharge” for the two vehicles, noting that production would wind down in Q2 2026.
The move frees factory floor space at Fremont, California, for next-generation manufacturing, including Optimus humanoid robots and the upcoming Robotaxi platform.
Introduced in 2012 and 2015, respectively, the Model S and Model X were Tesla’s original halo cars. They proved EVs could outperform gasoline luxury vehicles in acceleration, range, and tech features while pioneering over-the-air updates and early autonomy hardware.
Although they never matched the volume of the Model 3 and Model Y, their engineering breakthroughs laid the foundation for the company’s current lineup and full self-driving development.
Early adopters highlighted how the cars convinced them to invest in Tesla stock and the EV movement. Some U.S. owners who had not yet received the note voiced mild frustration, and international customers confirmed the outreach remains U.S.-only for now.
Tesla has not detailed an exact final production date beyond the Q2 2026 target or confirmed immediate replacements. Speculation continues about a possible Cybertruck-derived SUV, but the company’s public focus has shifted squarely to autonomy and robotics.
For buyers still interested in the S or X, the window is closing. Inventory is described as limited, and Tesla’s Korean division has already set a March 31 cutoff for new orders in that market. The email serves as both a farewell and final sales push, an elegant close to a chapter that helped define modern electric driving.
Elon Musk
Tesla drives drunk owner while he naps, Police still arrest him on DUI
A Vacaville man let his Tesla drive while he napped, but police had other ideas.
![Tesla drives drunk owner, Police arrest on DUI [Credit: Vacaville Police via Facebook]](https://www.teslarati.com/wp-content/uploads/2026/03/tesla-fsd-drunk-driver-dui-arrest-e1774678014371.jpg)
A Northern California man found a creative solution to drunk driving this week by letting his Tesla drive him around while he took a booze snooze. Police in Vacaville arrested a man on a DUI charge after he was found, what appears to be, completely passed out behind the wheel of a Tesla Model Y, which was safely self-navigating the owner through busy streets. The man’s passenger seat told the rest of the story, with a four-pack of Sutter Home wine bottles and a box of Round Table pizza clearly visible.
According to the Vacaville Police Department, as posted through their Facebook page, a concerned community member spotted the very relaxed driver, stayed on the line with dispatch, and guided officers to the intersection of Elmira Road and Shasta Drive where they stopped the vehicle. Alcohol and marijuana were confirmed. No medical emergency, and what appears to be just an extremely committed drunken nap.
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![Tesla drives drunk owner, Police arrest on DUI [Credit: Vacaville Police via Facebook]](https://www.teslarati.com/wp-content/uploads/2026/03/tesla-fsd-drunk-driver-dui-arrest-e1774678014371-300x259.jpg)
- Tesla drives drunk owner, Police arrest on DUI [Credit: Vacaville Police via Facebook]
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- Tesla drunk driver passenger seat , Police arrest on DUI [Credit: Vacaville Police via Facebook]
The Vacaville Police noted that California permits drivers to use assistive driving features like Tesla’s FSD, but the law still requires them to be “conscious, alert, and not under the influence while operating them.” The post drew some humorous reactions in the comments section, with one commenter piping in, “That time when his vehicle had more situational awareness than he did.” Another commenter chimed in, “Sutter all the way home….”
Tesla Full Self-Driving v14.2.1 texting and driving: we tested it
The incident lands in an interesting moment for Tesla. Elon Musk caused his own stir in December 2025 when he responded to a user question about whether FSD v14.2.1 allowed texting behind the wheel with a simple “Depending on context of surrounding traffic, yes.” He had earlier told investors that drivers turning off autopilot to check texts while steering with their knees was “significantly less safe” than simply letting FSD run, which he called “kind of the killer app.” Neither statement included anything about Sutter Home wine being part of the equation.
Tesla Robotaxi gets a small but significant change
Tesla makes latest announcement on Model S and Model X
![Tesla drives drunk owner, Police arrest on DUI [Credit: Vacaville Police via Facebook]](https://www.teslarati.com/wp-content/uploads/2026/03/tesla-fsd-drunk-driver-dui-arrest-e1774678014371-80x80.jpg)
Tesla drives drunk owner while he naps, Police still arrest him on DUI
Elon Musk says Tesla is developing a new vehicle: ‘Way cooler than a minivan’
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
