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
New EV tax credit rule could impact many EV buyers
We confirmed with a Tesla Sales Advisor that any current orders that have the $7,500 tax credit applied to them must be completed by December 31, meaning delivery must take place by that date. However, it is unclear at this point whether someone could still claim the credit when filing their tax returns for 2025 as long as the order reflects an order date before September 30.
Tesla owners could be impacted by a new EV tax credit rule, which seems to be a new hoop to jump through for those who benefited from the “extension,” which allowed orderers to take delivery after the loss of the $7,500 discount.
After the Trump Administration initiated the phase-out of the $7,500 EV tax credit, many were happy to see the rules had been changed slightly, as deliveries could occur after the September 30 cutoff as long as orders were placed before the end of that month.
However, there appears to be a new threshold that EV buyers will have to go through, and it will impact their ability to get the credit, at least at the Point of Sale, for now.
Delivery must be completed by the end of the year, and buyers must take possession of the car by December 31, 2025, or they will lose the tax credit. The U.S. government will be closing the tax credit portal, which allows people to claim the credit at the Point of Sale.
🚨UPDATE: $7,500 Tax Credit Portal “Closes By End of Year”.
This is bad news for pending Tesla buyers (MYP) looking to lock in the $7,500 Tax Credit.
“it looks like the portal closes by end of the year so there be no way for us to guarantee the funds however, we will try our… pic.twitter.com/LnWiaXL30k
— DennisCW | wen my L (@DennisCW_) December 15, 2025
We confirmed with a Tesla Sales Advisor that any current orders that have the $7,500 tax credit applied to them must be completed by December 31, meaning delivery must take place by that date.
However, it is unclear at this point whether someone could still claim the credit when filing their tax returns for 2025 as long as the order reflects an order date before September 30.
If not, the order can still go through, but the buyer will not be able to claim the tax credit, meaning they will pay full price for the vehicle.
This puts some buyers in a strange limbo, especially if they placed an order for the Model Y Performance. Some deliveries have already taken place, and some are scheduled before the end of the month, but many others are not expecting deliveries until January.
Elon Musk
Elon Musk takes latest barb at Bill Gates over Tesla short position
Bill Gates placed a massive short bet against Tesla of ~1% of our total shares, which might have cost him over $10B by now
Elon Musk took his latest barb at former Microsoft CEO Bill Gates over his short position against the company, which the two have had some tensions over for a number of years.
Gates admitted to Musk several years ago through a text message that he still held a short position against his sustainable car and energy company. Ironically, Gates had contacted Musk to explore philanthropic opportunities.
Elon Musk explains Bill Gates beef: He ‘placed a massive bet on Tesla dying’
Musk said he could not take the request seriously, especially as Gates was hoping to make money on the downfall of the one company taking EVs seriously.
The Tesla frontman has continued to take shots at Gates over the years from time to time, but the latest comment came as Musk’s net worth swelled to over $600 billion. He became the first person ever to reach that threshold earlier this week, when Tesla shares increased due to Robotaxi testing without any occupants.
Musk refreshed everyone’s memory with the recent post, stating that if Gates still has his short position against Tesla, he would have lost over $10 billion by now:
Bill Gates placed a massive short bet against Tesla of ~1% of our total shares, which might have cost him over $10B by now
— Elon Musk (@elonmusk) December 17, 2025
Just a month ago, in mid-November, Musk issued his final warning to Gates over the short position, speculating whether the former Microsoft frontman had still held the bet against Tesla.
“If Gates hasn’t fully closed out the crazy short position he has held against Tesla for ~8 years, he had better do so soon,” Musk said. This came in response to The Gates Foundation dumping 65 percent of its Microsoft position.
Tesla CEO Elon Musk sends final warning to Bill Gates over short position
Musk’s involvement in the U.S. government also drew criticism from Gates, as he said that the reductions proposed by DOGE against U.S.A.I.D. were “stunning” and could cause “millions of additional deaths of kids.”
“Gates is a huge liar,” Musk responded.
It is not known whether Gates still holds his Tesla short position.
Tesla made a change to the Cybertruck, and nobody noticed. But to be fair, nobody could have, but it was revealed by the program’s lead engineer that it was aimed toward simplifying manufacturing through a minor change in casting.
After the Cybertruck was given a Top Safety Pick+ award by the Insurance Institute for Highway Safety (IIHS), for its reputation as the safest pickup on the market, some wondered what had changed about the vehicle.
Tesla makes changes to its vehicles routinely through Over-the-Air software updates, but aesthetic changes are relatively rare. Vehicles go through refreshes every few years, as the Model 3 and Model Y did earlier this year. However, the Cybertruck is one of the vehicles that has not changed much since its launch in late 2023, but it has gone through some minor changes.
Most recently, Wes Morrill, the Cybertruck program’s Lead Engineer, stated that the company had made a minor change to the casting of the all-electric pickup for manufacturing purposes. This change took place in April:
We made a minor change on the casting for manufacturability in April. Our Internal testing shows no difference in crash result but IIHS only officially tested the latest version
— Wes (@wmorrill3) December 17, 2025
The change is among the most subtle that can be made, but it makes a massive difference in manufacturing efficiency, build quality, and scalability.
Morrill revealed Tesla’s internal testing showed no difference in crash testing results performed by the IIHS.
The 2025 Cybertruck received stellar ratings in each of the required testing scenarios and categories. The Top Safety Pick+ award is only given if it excels in rigorous crash tests. This requires ‘Good’ ratings in updated small and moderate overlap front, side, roof, and head restraints.
Additionally, it must have advanced front crash prevention in both day and night. Most importantly, the vehicle must have a ‘Good’ or ‘Acceptable’ headlights standard on all trims, with the “+ ” specifically demanding the toughest new updated moderate overlap test that checks rear-seat passenger protection alongside driver safety.
New EV tax credit rule could impact many EV buyers
Elon Musk takes latest barb at Bill Gates over Tesla short position
