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 Giga Berlin dispute against IG Metall union leads to investigation
As per a report from rbb24, police seized a laptop belonging to an IG Metall member at Tesla Giga Berlin on Tuesday afternoon.
German authorities have opened an investigation into an IG Metall union representative following allegations that a confidential works council meeting at Tesla’s Gigafactory Berlin was secretly recorded. The probe follows a criminal complaint filed by Tesla management last week.
As per a report from rbb24, police seized a laptop belonging to an IG Metall member at Tesla Giga Berlin on Tuesday afternoon. Prosecutors in Frankfurt (Oder) confirmed that an investigation is underway into a possible unauthorized audio recording of an internal works council meeting.
Under German law, recording a non-public meeting without consent may constitute a criminal offense.
Tesla stated that Gigafactory Berlin employees alerted management after allegedly discovering that an external union representative, who was attending the event as a guest, had recorded the session. Plant manager André Thierig stated in a post on X that the representative was “caught in action,” prompting the company to contact police and file a criminal complaint.
The seized device is now part of the investigation, and authorities will determine whether any unlawful recording had indeed occurred.
IG Metall has denied the accusation. In comments to German media, representatives rejected Tesla’s claim and described the electric vehicle maker’s allegation as an election campaign tactic ahead of upcoming works council elections.
The election at Tesla’s Grünheide plant is scheduled for March 2–4, 2026, with about 11,000 employees being eligible to vote. Regular works council elections in Germany are held every four years between March and May.
The incident comes amid tensions between Tesla and organized labor in Germany. While works councils operate independently from unions, IG Metall has been active at the plant and has previously criticized Tesla’s labor practices. Authorities, for their part, have not yet announced whether charges will be filed, though the investigation remains ongoing.
News
Tesla rolls out xAI’s Grok to vehicles across Europe
The initial rollout includes the United Kingdom, Ireland, Germany, Switzerland, Austria, Italy, France, Portugal, and Spain.
Tesla is rolling out Grok to vehicles in Europe. The feature will initially launch in nine European territories.
In a post on X, the official Tesla Europe, Middle East & Africa account confirmed that Grok is coming to Teslas in Europe. The initial rollout includes the United Kingdom, Ireland, Germany, Switzerland, Austria, Italy, France, Portugal, and Spain, and additional markets are expected to be added later.
Grok allows drivers to ask questions using real-time information and interact hands-free while driving. According to Tesla’s support documentation, Grok can also initiate navigation commands, enabling users to search for destinations, discover points of interest, and adjust routes without touching the touchscreen, as per the feature’s official webpage.
The system offers selectable personalities, ranging from “Storyteller” to “Unhinged,” and is activated either through the App Launcher or by pressing and holding the steering wheel’s microphone button.
Grok is currently available only on Model S, Model 3, Model X, Model Y, and Cybertruck vehicles equipped with an AMD infotainment processor. Vehicles must be running software version 2025.26 or later, with navigation command support requiring version 2025.44.25 or newer.
Drivers must also have Premium Connectivity or a stable Wi-Fi connection to use the feature. Tesla notes that Grok does not currently replace standard voice commands for vehicle controls such as climate or media adjustments.
The company has stated that Grok interactions are processed securely by xAI and are not linked to individual drivers or vehicles. Users do not need a Grok account or subscription to enable the feature at this time as well.
News
Tesla ends Full Self-Driving purchase option in the U.S.
In January, Musk announced that Tesla would remove the ability to purchase the suite outright for $8,000. This would give the vehicle Full Self-Driving for its entire lifespan, but Tesla intended to move away from it, for several reasons, one being that a tranche in the CEO’s pay package requires 10 million active subscriptions of FSD.
Tesla has officially ended the option to purchase the Full Self-Driving suite outright, a move that was announced for the United States market in January by CEO Elon Musk.
The driver assistance suite is now exclusively available in the U.S. as a subscription, which is currently priced at $99 per month.
Tesla moved away from the outright purchase option in an effort to move more people to the subscription program, but there are concerns over its current price and the potential for it to rise.
In January, Musk announced that Tesla would remove the ability to purchase the suite outright for $8,000. This would give the vehicle Full Self-Driving for its entire lifespan, but Tesla intended to move away from it, for several reasons, one being that a tranche in the CEO’s pay package requires 10 million active subscriptions of FSD.
Although Tesla moved back the deadline in other countries, it has now taken effect in the U.S. on Sunday morning. Tesla updated its website to reflect this:
🚨 Tesla has officially moved the outright purchase option for FSD on its website pic.twitter.com/RZt1oIevB3
— TESLARATI (@Teslarati) February 15, 2026
There are still some concerns regarding its price, as $99 per month is not where many consumers are hoping to see the subscription price stay.
Musk has said that as capabilities improve, the price will go up, but it seems unlikely that 10 million drivers will want to pay an extra $100 every month for the capability, even if it is extremely useful.
Instead, many owners and fans of the company are calling for Tesla to offer a different type of pricing platform. This includes a tiered-system that would let owners pick and choose the features they would want for varying prices, or even a daily, weekly, monthly, and annual pricing option, which would incentivize longer-term purchasing.
Although Musk and other Tesla are aware of FSD’s capabilities and state is is worth much more than its current price, there could be some merit in the idea of offering a price for Supervised FSD and another price for Unsupervised FSD when it becomes available.
Tesla Giga Berlin dispute against IG Metall union leads to investigation
Tesla rolls out xAI’s Grok to vehicles across Europe
