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.
Ferrari’s first electric vehicle, the Luce, is fully sold out for 2027, according to CEO Benedetto Vigna.
Presenting third-quarter results, he stated: “Everything we plan to sell next year is already fully allocated. Client test drives, scheduled for next year, will help further boost demand. We have no critical issues, neither on manufacturing nor on the demand side. Obviously, the car is more complex because it has many new parts and many new technologies.”
First customer deliveries are expected before the end of 2026, with the model already commanding waitlists despite a turbulent debut.
The Luce is a five-seat, four-door liftback saloon—the longest Ferrari ever produced—powered by four electric motors producing approximately 1,035 horsepower.
It features an 800-volt architecture, a 122-kWh battery, a claimed WLTP range of around 329 miles, 0-62 mph acceleration in 2.5 seconds, and a starting price near €550,000 in Europe (roughly $560,800–$615,000 in the U.S. depending on configuration).
Developed in collaboration with Jony Ive and Marc Newson’s LoveFrom studio alongside Ferrari’s own Centro Stile, it represents a deliberate departure from the brand’s traditional mid-engine sports cars toward a more spacious, grand-touring format.
Its exterior has proven deeply polarizing. Unveiled in Rome in May 2026, the design features smooth, sweeping surfaces, a large glass roof, and restrained detailing that critics described as bland, generic, or more reminiscent of an Apple product or mass-market EV than a Ferrari.
Ferrari unveils its Luce EV, and its reception has been a disaster
Online reactions included memes comparing it to a Nissan Leaf or Polestar, while former Ferrari chairman Luca di Montezemolo publicly warned of “the destruction of a myth” and suggested the prancing horse logo be removed. Italian politicians and longtime owners joined the chorus of disappointment, and Ferrari’s shares dropped roughly 8% in a single day, erasing billions in market value.
Design experts noted the absence of the brand’s signature tension, aggression, and emotional drama.
Yet the controversy has not translated into weak demand among the ultra-wealthy clientele who actually buy Ferraris. Production volumes remain tightly limited, as reports suggest fewer than 500 units in the current year and a longer-term pace of roughly 600 annually through 2030, preserving exclusivity.
One early chassis sold for $40 million at auction. Vigna has indicated that seeing the car in person, along with upcoming client test drives, is expected to strengthen rather than weaken interest. Ferrari aims for fully electric models to comprise 20 percent of its lineup by 2030, with a second EV now delayed to 2028.
For a brand defined by scarcity and desirability, the Luce’s sell-out status suggests that among those who can afford it, the polarizing design has not proven to be a commercial liability.
Tesla and SpaceX shares fell on Wednesday after Democrats swept both chambers of Congress. The decline stood out as broader market securities recovered and turned positive, while both of Musk’s publicly traded companies lagged.
CEO Elon Musk already joked about the unsuccessful campaigning for the Republicans, but now the new party will make pretty drastic changes to how it handles Tesla and SpaceX, and those companies will adjust their outlook.
Let’s take a deeper look.
Tesla ($TSLA)
Tesla shares traded lower during the regular session after Democrats secured both the House and Senate. The stock was down 2.32 percent at around 1:45 p.m. on the East Coast, trading at around $389.30.
The pressure is tied to more than the raw scale of Musk’s political spending, estimated at $450–474 million this cycle with roughly $224 million directed at Texas. In that state, Tesla now faces a Democratic governor and a Democratic senator after Gina Hinojosa unseated Greg Abbott and James Talarico defeated Ken Paxton.
The Austin Gigafactory, Robotaxi pilot programs in multiple Texas cities, and any related AI compute expansion sit under a new state executive who campaigned against certain corporate subsidies and floated a moratorium on new data-center construction.
Federally, Democratic control of key committees opens the door to deeper examination of Tesla’s autonomous-driving safety record, federal energy-storage and manufacturing incentives, and the national-security implications of any combination with SpaceX.
Investors are also weighing whether the company’s historically close alignment with the prior Republican leadership will invite slower permitting, additional hearings, or tighter rules on Full Self-Driving deployment.
For Tesla, the political shift adds near-term friction around state permitting and federal regulatory approvals for autonomy and energy storage. A potential merger with SpaceX may face slower review even if it proceeds.
Core growth drivers such as vehicle deliveries, energy deployments, and robotaxi rollout remain intact, yet the stock now carries a higher political-risk premium that could weigh on valuation until the company demonstrates workable relationships with the new Texas leadership and congressional majorities.
SpaceX ($SPCX)
SpaceX shares also declined in live trading on November 4 following the Democratic midterm sweep. The stock traded at $134.97, down 4.49 percent. The drop occurred even as broader indexes stabilized, highlighting a company-specific reaction to the election outcome.
Musk’s large contributions, concentrated in Texas races that both companies lost, place SpaceX’s Starbase launch facility and headquarters under a new Democratic governor.
At the federal level, Democratic control of Congress enables greater scrutiny of NASA, the Department of Defense, and other contracts that support a meaningful share of revenue, along with reviews of Starlink national-security uses and any Tesla merger. Analysts have noted that empowered committees can hold hearings and request documents on these relationships.
For SpaceX, the results raise the risk of delayed contract awards, higher compliance costs, and tighter constraints on AI and satellite infrastructure expansion, particularly in Texas where a data-center moratorium has been discussed.
A merger with Tesla could encounter political friction that slows integration of launch, connectivity, and autonomy capabilities.
While Starlink growth and launch cadence continue as primary drivers, the company faces a more contested path for federal funding and state-level operations, requiring management to rebuild ties with the new congressional majorities and Texas leadership to limit the overhang.
Tesla’s new vehicle registrations in Germany rose sharply in October, nearly quadrupling from the same month a year earlier. That’s according to data from the KBA, Germany’s federal motor transport authority.
The KBA reported 2,932 Tesla vehicles registered in October, a 290.9 percent year-over-year- increase. For the first ten months of the year, Tesla’s cumulative registrations reached 47,742 units. This number is up 206.1 percent compared with the January-October period of 2025. These gains occurred against a backdrop of strong overall growth in the BEV sector as a whole.
Germany registered 94,086 new BEVs in October, a 79.5 percent rise that brought the BEV share of the passenger car market to 37 percent of the 254,492 total cars registered that month.
🇩🇪 Tesla’s new registrations in Germany nearly quadrupled in October, according to KBA data.
October: 2,932 units, +290.9% YoY Jan–Oct: 47,742 units, +206.1%
Germany’s overall BEV market grew 79.5% to 94,086 units last month. https://t.co/GMwNqsFAOC
— TESLARATI (@Teslarati) November 4, 2026
Despite the percentage surge, Tesla’s absolute numbers left it with a 1.2 percent share of all new car registrations for October. Chinese competitors did record higher volumes, as BYD registered 5,173 vehicles, a 2 percent share, Leapmotor with 3,661 cars, which equates to 1.4 percent, and Xpeng had a 0.5 percent share.
Year-to-date through October, BYD edged ahead of Tesla with 47,961 registrations versus Tesla’s 47,742.
The October results follow a notably strong September for Tesla in Germany, when it registered 12,552 vehicles, an increase of roughly 269 percent year-over-year and one of its strongest monthly totals on record in the country. That month, the Model Y led all EVs and ranked among the top-selling vehicles of any powertrain.
The figures form part of a broader recovery in Tesla’s European registrations after an extended period of softer demand. While monthly volumes remain subject to typical quarter-end patterns and competitive pressure from both established European brands and rapidly expanding Chinese manufacturers, the year-to-date growth indicates improved traction in Europe’s largest car market.
Tesla’s Gigafactory Berlin-Brandenburg continues to supply the region, positioning the company to capture a share of the expanding German BEV market as overall EV adoptions looks to be accelerating.
Ferrari Luce sold out for 2027 after design controversy
Musk’s Tesla and SpaceX decline after Democratic Midterm sweep
