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 hints Tesla investors will be rewarded heavily
“Hold onto your Tesla stock. It’s going to be worth a lot, I think. That’s my bet,” Musk said.
Elon Musk recently hinted that he believes Tesla investors will be rewarded heavily if they continue to hold onto their shares, and he reiterated that in a new interview that the company released on its social accounts this week.
Musk is one of the most successful CEOs in the modern era and has mammothed competitors on the Forbes Net Worth List over the past year as his holdings in his various companies have continued to swell.
Tesla investors, especially those who have been holding shares for several years, have also felt substantial gains in their portfolios. Over the past five years, the stock is up over 78 percent. Since February 2019, nearly seven years ago to the day, the stock is up over 1,800 percent.
Musk said in the interview:
“Hold onto your Tesla stock. It’s going to be worth a lot, I think. That’s my bet.”
Elon Musk in new interview: “Hold on to your $TSLA stock. It’s going to be worth a lot, I think. That’s my bet.” pic.twitter.com/cucirBuhq0
— Sawyer Merritt (@SawyerMerritt) February 26, 2026
It’s no secret Musk has been extremely bullish on his own companies, but Tesla in particular, because it is publicly traded.
However, the company has so many amazing projects that have an opportunity to revolutionize their respective industries. There is certainly a path to major growth on Wall Street for Tesla through its various future projects, including Optimus, Cybercab, Semi, and Unsupervised FSD.
- Optimus (Tesla’s humanoid robot): Musk has discussed its potential for tasks like childcare, walking dogs, or assisting elderly parents, positioning it as a massive long-term driver of company value.
- Cybercab (Tesla’s robotaxi/autonomous ride-hailing vehicle): a fully autonomous vehicle geared specifically for Tesla’s ride-sharing ambitions.
- Semi (Tesla’s electric truck, with mentions of expansion, like in Europe): brings Tesla into the commercial logistics sector.
- Unsupervised FSD (Full Self-Driving software achieving full autonomy without human supervision): turns every Tesla owner’s vehicle into a fully-autonomous vehicle upon release
These projects specifically are some of the highest-growth pillars Tesla has ever attempted to develop, especially in Musk’s eyes, as he has said Optimus will be the best-selling product of all-time.
Many analysts agree, but the bullish ones, like Cathie Wood of ARK Invest, are perhaps the one who believes Tesla has incredible potential on Wall Street, predicting a $2,600 price target for 2030, but this is not even including Optimus.
She told Bloomberg last March that she believes that the project will present a potential additive if Tesla can scale faster than anticipated.
Cybertruck
Tesla drops latest hint that new Cybertruck trim is selling like hotcakes
According to Tesla’s Online Design Studio, the new All-Wheel-Drive Cybertruck will now be delivered in April 2027. Earlier orders are still slated for early this Summer, but orders from here on forward are now officially pushed into next year:
Tesla’s new Cybertruck offering has had its delivery date pushed back once again. This is now the second time, and deliveries for the newest orders are now pushed well into 2027.
According to Tesla’s Online Design Studio, the new All-Wheel-Drive Cybertruck will now be delivered in April 2027. Earlier orders are still slated for early this Summer, but orders from here on forward are now officially pushed into next year:
🚨 Tesla has updated the $59,990 Cybertruck Dual Motor AWD’s estimated delivery date to April 2027.
First deliveries are still slated for June, but if you order it now, you’ll be waiting over a year.
Demand appears to be off the charts for the new Cybertruck and consumers are… pic.twitter.com/raDCCeC0zP
— TESLARATI (@Teslarati) February 26, 2026
Just three days ago, the initial delivery date of June 2026 was pushed back to early Fall, and now, that date has officially moved to April 2027.
The fact that Tesla has had to push back deliveries once again proves one of two things: either Tesla has slow production plans for the new Cybertruck trim, or demand is off the charts.
Judging by how Tesla is already planning to raise the price based on demand in just a few days, it seems like the company knows it is giving a tremendous deal on this spec of Cybertruck, and units are moving quickly.
That points more toward demand and not necessarily to slower production plans, but it is not confirmed.
Tesla Cybertruck’s newest trim will undergo massive change in ten days, Musk says
Tesla is set to hike the price on March 1, so tomorrow will be the final day to grab the new Cybertruck trim for just $59,990.
It features:
- Dual Motor AWD w/ est. 325 mi of range
- Powered tonneau cover
- Bed outlets (2x 120V + 1x 240V) & Powershare capability
- Coil springs w/ adaptive damping
- Heated first-row seats w/ textile material that is easy to clean
- Steer-by-wire & Four Wheel Steering
- 6’ x 4’ composite bed
- Towing capacity of up to 7,500 lbs
- Powered frunk
Interestingly, the price offering is fairly close to what Tesla unveiled back in late 2019.
Elon Musk
Elon Musk outlines plan for first Starship tower catch attempt
Musk confirmed that Starship V3 Ship 1 (SN1) is headed for ground tests and expressed strong confidence in the updated vehicle design.
Elon Musk has clarified when SpaceX will first attempt to catch Starship’s upper stage with its launch tower. The CEO’s update provides the clearest teaser yet for the spacecraft’s recovery roadmap.
Musk shared the details in recent posts on X. In his initial post, Musk confirmed that Starship V3 Ship 1 (SN1) is headed for ground tests and expressed strong confidence in the updated vehicle design.
“Starship V3 SN1 headed for ground tests. I am highly confident that the V3 design will achieve full reusability,” Musk wrote.
In a follow-up post, Musk addressed when SpaceX would attempt to catch the upper stage using the launch tower’s robotic arms.
“Should note that SpaceX will only try to catch the ship with the tower after two perfect soft landings in the ocean. The risk of the ship breaking up over land needs to be very low,” Musk clarified.
His remarks suggest that SpaceX is deliberately reducing risk before attempting a tower catch of Starship’s upper stage. Such a milestone would mark a major step towards the full reuse of the Starship system.
SpaceX is currently targeting the first Starship V3 flight of 2026 this coming March. The spacecraft’s V3 iteration is widely viewed as a key milestone in SpaceX’s long-term strategy to make Starship fully reusable.
Starship V3 features a number of key upgrades over its previous iterations. The vehicle is equipped with SpaceX’s Raptor V3 engines, which are designed to deliver significantly higher thrust than earlier versions while reducing cost and weight.
The V3 design is also expected to be optimized for manufacturability, a critical step if SpaceX intends to scale the spacecraft’s production toward frequent launches for Starlink, lunar missions, and eventually Mars.
Elon Musk hints Tesla investors will be rewarded heavily
Tesla drops latest hint that new Cybertruck trim is selling like hotcakes
