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 is still ramping production to meet Model Y demand: plant manager
Tesla Gigafactory Berlin has expanded to two full shifts, as per the facility’s plant manager, and a lot of it is due to Model Y demand.
Tesla Gigafactory Berlin has expanded to two full shifts, as per the facility’s plant manager, and a lot of it is due to Model Y demand. While registrations in some countries such as Sweden have fallen sharply this year, the company’s sales in other key territories have been rising.
Giga Berlin shifts to two shifts
Giga Berlin factory manager André Thierig told the DPA that the facility has been running two shifts since September to manage a surge in global orders. And due to the tariff dispute with the United States, vehicles that are produced at Giga Berlin are now being exported to Canada.
“We deliver to well over 30 markets and definitely see a positive trend there,” Thierig said.
Despite Giga Berlin now having two shifts, the facility’s production still needs to ramp up more. This is partly due to the addition of the Tesla Model Y Performance and Standard, which are also being produced in the Grunheide-based factory. Interestingly enough, Giga Berlin still only produces the Model Y, unlike other factories like Gigafactory Texas, the Fremont Factory, and Gigafactory Shanghai, which produce more than one type of vehicle.
Norway’s momentum
Norway, facing an imminent tax increase on cars, has seen a historic spike in Tesla purchases as buyers rush to secure deliveries before the change takes effect, as noted in a CarUp report. As per recent reports, Tesla has broken Norway’s all-time annual sales record this month, beating Volkswagen’s record that has stood since 2016.
-->What is rather remarkable is the fact that Tesla was able to achieve so much in Norway with one hand practically tied behind its back. This is because the company’s biggest sales draw, FSD, remains unavailable in the country. Fortunately, Tesla is currently hard at work attempting to get FSD approved for Europe, a notable milestone that should spur even more vehicle sales in the region.
Tesla is launching a crazy Full Self-Driving free trial, which will enable owners who have not purchased the suite outright to try it for 30 days.
There are a handful of stipulations that will be needed in order for you to qualify for the free trial, which was announced on Thursday night.
Tesla said the trial is for v14, the company’s latest version of the Full Self-Driving suite, and will be available to new and existing Model S, Model 3, Model X, Model Y, and Cybertruck owners, who will have the opportunity to try the latest features, including Speed Profiles, Arrival Options, and other new upgrades.
🚨 Tesla is launching a free 30-day trial of Full Self-Driving in North America for owners.
It includes every model, but you need v14.2 or later, and you cannot have already purchased the suite outright. https://t.co/8CNmxxOkVl
— TESLARATI (@Teslarati) November 27, 2025
You must own one of the five Tesla models, have Full Self-Driving v14.2 or later, and have an eligible vehicle in the United States, Puerto Rico, Mexico, or Canada.
The company said it is a non-transferable trial, which is not redeemable for cash. Tesla is reaching out to owners via email to give them the opportunity to enable the Full Self-Driving trial.
Those who are subscribed to the monthly Full Self-Driving program are eligible, so they will essentially get a free month of the suite.
Once it is installed, the trial will begin, and the 30-day countdown will begin.
Tesla is making a major push to increase its Full Self-Driving take rate, as it revealed that about 12 percent of owners are users of the program during its recent earnings call.
Tesla CFO Vaibhav Taneja said during the call:
“We feel that as people experience the supervised FSD at scale, demand for our vehicles, like Elon said, would increase significantly. On the FSD adoption front, we’ve continued to see decent progress. However, note that the total paid FSD customer base is still small, around 12% of our current fleet.”
Earlier today, we reported on Tesla also launching a small-scale advertising campaign on X for the Full Self-Driving suite, hoping to increase adoption.
Tesla Full Self-Driving warrants huge switch-up on essential company strategy
It appears most people are pretty content with the subscription program. It costs just $99 a month, in comparison to the $8,000 fee it is for the outright purchase.
Tesla Full Self-Driving has warranted a huge switch-up on an essential company strategy as the automaker is hoping to increase the take rate of the ADAS suite.
Unlike other automotive companies, Tesla has long been an outlier, as it has famously ditched a traditional advertising strategy in favor of organic buzz, natural word-of-mouth through its production innovation, and utilizing CEO Elon Musk’s huge social media presence to push its products.
Tesla has taken the money that it would normally spend on advertising and utilized it for R&D purposes. For a long time, it yielded great results, and ironically, Tesla saw benefits from other EV makers running ads.
Tesla counters jab at lack of advertising with perfect response
However, in recent years, Tesla has decided to adjust this strategy, showing a need to expand beyond its core enthusiast base, which is large, but does not span over millions and millions as it would need to fend off global EV competitors, which have become more well-rounded and a better threat to the company.
In 2024 and 2025, Tesla started utilizing ads to spread knowledge about its products. This is continuing, as Full Self-Driving ads are now being spotted on social media platforms, most notably, X, which is owned by Musk:
NEWS: Tesla is running paid advertisements on X about FSD (Supervised). Here’s an ad they started running yesterday: pic.twitter.com/IHVywLMyTd
— Sawyer Merritt (@SawyerMerritt) November 25, 2025
Interestingly, Tesla’s strategy on FSD advertising is present in Musk’s new compensation package, as the eleventh tranche describes a goal of achieving 10 million active paid FSD subscriptions.
Full Self-Driving is truly Tesla’s primary focus moving forward, although it could be argued that it also has a special type of dedication toward its Optimus robot project. However, FSD will ultimately become the basis for the Robotaxi, which will enable autonomous ride-sharing across the globe as it is permitted in more locations.
Tesla has been adjusting its advertising strategy over the past couple of years, and it seems it is focused on more ways to spread awareness about its products. It will be interesting to see if the company will expand its spending even further, as it has yet to put on a commercial during live television.
We wouldn’t put it out of the question, at least not yet.
Tesla Giga Berlin is still ramping production to meet Model Y demand: plant manager
Tesla launches crazy Full Self-Driving free trial: here’s how you can get it
