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.
Investor's Corner
Tesla opens the Q&A for its biggest earnings call yet
Tesla opens its Q3 earnings Q&A, and Cybercab, Robotaxi, Optimus and regulators loom over October 21.
Tesla has opened its shareholder question portal for the Q3 2026 earnings call, with the Say Q&A page already listing questions. Investors have until 4:00 p.m. EDT on October 20 to submit and vote on what management should answer.
The call is set for Wednesday, October 21. Tesla will post results after the market closes, with a live webcast at 4:30 p.m. CT, or 5:30 p.m. ET, through its investor relations site.
Say ranks questions by the number of shares behind the votes, which gives institutional holders extra weight over the retail crowd.
Ahead of Q2, retail investors asked why Robotaxi growth had stalled, when Cybercab would start customer rides, and where the Optimus Gen 3 ramp stood, while an institutional holder asked how Tesla and SpaceX would split Terafab duties. Cybercab has since answered one of those. Tesla said last week it has 300 plus Cybercabs serving Austin, up eightfold in 30 days, with Dallas named as the next city. The questions now are likely to move from when to how fast.
There is also a regulatory question hanging over the call. NHTSA has demanded sworn answers on how the pedal free Cybercab was certified against federal safety standards, with responses due October 30, nine days after the call. Whether an analyst raises it live is unknown, but it is the kind of exposure that tends to find its way into a Q&A.
The numbers will not be the main draw. Tesla already reported 486,532 deliveries and 13.7 GWh of storage for the quarter. Consensus sits around 43 to 45 cents per share on roughly $27.8 billion in revenue, according to Zacks, after a Q2 report that missed on EPS. Goldman Sachs, which holds a Neutral rating and a $360 target, argues the outlook for Robotaxi, FSD and Optimus will matter more to the stock than the quarter itself.
The call also lands six days after the rescheduled Roadster event, which Tesla will stream on X on Thursday, October 15, at 7:55 p.m. CT. If the Roadster shows up with a production date or a SpaceX thruster package, expect it to climb the voting list before the deadline.
Elon Musk
Ukraine says Starlink is cutting out its military drones as Poland calls out Elon Musk
Ukrainian officials allege SpaceX limited military Starlink speeds, disrupting drone missions; SpaceX has not commented.
Ukrainian officials are accusing SpaceX of placing a speed limit on the military version of Starlink that their forces use to fly drones, but SpaceX has not confirmed that any change was made. Presidential adviser Serhiy Beskrestnov said in a Telegram post on Wednesday that Starshield terminals have begun losing service when they move faster than about 100 miles per hour, according to a Reuters report. “Our defense forces did not receive a warning about this limitation, and this led to the disruption of several missions,” he wrote.
Ukraine’s 7th Rapid Reaction Corps told Reuters that connections dropped for 10 to 20 seconds at just 68 to 75 mph, which made the drones harder to control. Volunteer Serhiy Sternenko, citing military reports, said the dropouts are now starting at 37 to 43 mph. These accounts come from Ukrainian officials and military sources and have not been independently verified. Regular civilian terminals were reportedly not affected, according to EUalive.
.@POTUS: We told Zelensky, ‘You can do whatever you want to Russia, but don’t hit the refineries because that’s a world problem.’ And what does he do? He goes and hits the diesel fuel. He better damn well stop. https://t.co/CdRlMcPlKr
— Rapid Response 47 (@RapidResponse47) October 10, 2026
SpaceX has not publicly commented or explained what, if anything, changed. Beskrestnov and other Ukrainian officials believe the issue is intentional and point to the timing. Washington has been pressing Kyiv to stop long range strikes on Russian oil refineries after President Trump called for an “energy ceasefire,” and Musk posted on Saturday that “Zelensky has gone too far.” EUalive noted that neither Ukrainian nor Polish officials have presented evidence that the limit was ordered by Washington or by SpaceX, so the link to politics remains an allegation. Other explanations, such as a technical or policy change affecting fast moving terminals, have not been ruled out.
Poland’s foreign minister, Radosław Sikorski, responded on X by quote tweeting a Kyiv Independent report and writing: “Hey, @elonmusk, big man, are you playing politics with your products again? As your European customers, we are watching you.” Poland is the largest funder of Ukraine’s Starlink service, having supplied more than 29,000 terminals and covering operating costs Sikorski has put at roughly $50 million a year. The wording echoes their 2025 clash, when Musk told Sikorski to “be quiet, small man.” At the time of writing, neither Musk nor SpaceX had responded to the claims.
Hey, @elonmusk, big man, are you playing politics with your products again?
As your European customers, we are watching you.— Radosław Sikorski 🇵🇱🇪🇺 (@sikorskiradek) October 14, 2026
The dispute sits on top of a long history. Musk confirmed in February 2022 that Starlink was active in Ukraine after a request from a Ukrainian minister. That October, SpaceX asked the Pentagon to share the bill and Musk said the cost was approaching $20 million a month, before he reversed course and said SpaceX would keep paying. In December 2024 the Pentagon moved some of those terminals onto the Starshield service, the government version now at the center of the complaints.
SpaceX has also changed how its network treats certain terminals in Ukraine before, and that time it was with Kyiv’s cooperation. In February, Ukrainian officials confirmed that terminals believed to be used by Russian troops were disabled after coordination with SpaceX, a step that Ukrainian commanders later said hurt Russian assaults. Whether anything similar is behind the latest reports is unclear, which is why Kyiv is asking for answers.
Ukraine is already looking at backups. Defense tech company Stetman is developing its own satellite system, UASAT-NANO, and officials in Europe have discussed alternatives to Starlink since early 2025, though none match its scale yet.
Elon Musk
FAA kicks off review of SpaceX’s bid to fly Starship nearly every day
FAA is reviewing SpaceX’s plan for 456 Starship launches a year, up from 25 today.
The FAA said Tuesday that it will prepare an environmental impact statement on SpaceX’s proposal to run as many as 456 Starship launches and 912 landings a year from Starbase, Texas. SpaceX is currently authorized for 25 launches and 50 landings annually, which makes the request roughly 18 times the existing ceiling. The notice of intent is set to publish in the Federal Register on Wednesday.
The plan comes in two phases. Phase 1 would allow up to 100 launches and 200 landings a year, on any day and at any hour. Phase 2, which the FAA says could arrive within several years, would raise the limit to the full 456 launches, still at any hour but only on weekdays. The agency noted that 912 landings is the upper limit for the Texas facility no matter where a given mission begins, and that Starship and Super Heavy could come down at the launch site or in the Gulf and open ocean.
A draft statement will be released for public comment at a later date, and the FAA has not said when. According to the Federal Registar, written comments are due November 30 on regulations.gov under docket FAA-2026-12808, with in person scoping meetings on November 17 in Brownsville and November 19 in Port Isabel, plus a virtual session on November 18. The review will weigh air quality, wildlife, coastal resources, water, noise, and aviation, and the FAA said any increase beyond this proposal would need its own separate review.
The numbers look large next to what Starbase has actually done. Starship has flown three times from Texas this year, including Flight 14 on September 28, the first orbital flight, which deployed 26 Starlink V3 satellites. Bloomberg reported that Starbase has never launched more than five times in a calendar year. The current cap of 25 comes from an FAA approval in May 2025. In February, the agency also approved up to 44 Starship launches a year from Launch Complex 39A in Florida, so Phase 1 in Texas alone would more than double that allowance.
Musk has said Starship could eventually fly more than once per hour within less than a decade, per Bloomberg. The nearer term target is Flight 15. Musk said on October 10 that it is hopefully four to six weeks away and will try to catch the ship with the tower, as Teslarati covered. That flight still runs under the existing 25 launch limit, and so would every Starbase launch for as long as the new review takes.
As of mid morning Pacific time on Tuesday, SpaceX had not posted about the filing on its own account.
Tesla opens the Q&A for its biggest earnings call yet
Ukraine says Starlink is cutting out its military drones as Poland calls out Elon Musk
FAA kicks off review of SpaceX’s bid to fly Starship nearly every day
The Pentagon taps Elon Musk to design the battlefield of the future
SpaceX reveals how its 1 Million AI satellite network will work and prevent space collisions
