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
Elon Musk confirms Tesla FSD V14.2 will see widespread rollout
Musk shared the news in a post on social media platform X.

Elon Musk has confirmed that Tesla will be implementing a wide rollout of Full Self-Driving (FSD) V14 with the system’s V14.2 update. Musk shared the news in a post on social media platform X.
FSD V14.1.2 earns strong praise from testers
Musk’s comment came as a response to Tesla owner and longtime FSD tester AI DRIVR, who noted that it might be time to release Full Self-Driving to the fleet because V14.1.2 has already become very refined.
“95% of the indecisive lane changes and braking have been fixed in FSD 14.1.2. I haven’t touched my steering wheel in two days. I think it’s time, Tesla AI,” the longtime FSD tester wrote.
AI DRIVR’s comment received quite a bit of support from fellow Tesla drivers, some of whom noted that the improvements that were implemented in V14.1.2 are substantial. Others also agreed that it’s time for FSD to see a wide release.
In his reply to the FSD tester, CEO Elon Musk noted that FSD V14’s wide release would happen with V14.2. “14.2 for widespread use,” Musk wrote in his reply.
Mad Max mode makes headlines
One of the key features that was introduced with FSD’s current iteration is Mad Max mode, which allows for higher speeds and more frequent lane changes than the previous “Hurry” mode. Videos and social media posts from FSD testers have shown the system deftly handling complex traffic, merging seamlessly, and maintaining an assertive but safe driving behavior with Mad Max mode engaged.
Tesla AI head Ashok Elluswamy recently noted in a post on X that Mad Max mode was built to handle congested daytime traffic, making it extremely useful for drivers who tend to find themselves in heavy roads during their daily commutes. With Musk now hinting that FSD V14.2 will go on wide release, it might only be a matter of time before the larger Tesla fleet gets to experience the notable improvements of FSD’s V14 update.
News
Multiple Tesla Cybercab units spotted at Giga Texas crash test facility
The vehicles were covered, but one could easily recognize the Cybercab’s sleek lines and compact size.

It appears that Tesla is ramping up its activities surrounding the development and likely initial production of the Cybercab at Giga Texas. This was, at least, hinted at in a recent drone flyover of the massive electric vehicle production facility in Austin.
Cybercab sightings fuel speculations
As observed by longtime Giga Texas drone operator Joe Tegtmeyer, Tesla had several covered Cybercab units outside the facility’s crash testing facility at the time of his recent flyover. The vehicles were covered, but one could easily recognize the Cybercab’s sleek lines and compact size. Tegtmeyer also observed during his flyover that production of the Model Y Standard seems to be hitting its pace.
The drone operator noted that the seven covered Cybercabs might be older prototypes being decommissioned or new units awaiting crash tests. Either scenario points to a ramp-up in Cybercab activity at Giga Texas, however. “In either case, this is another datapoint indicating production is getting closer to happening,” Tegtmeyer wrote on X, highlighting that the autonomous two-seaters were quite exciting to see.
Cybercab production targets
This latest sighting follows reports of renewed Cybercab appearances at both the Fremont Factory and Giga Texas. A test unit was recently spotted driving on Giga Texas’ South River Road. Another Cybercab, seen at Tesla’s Fremont Factory, appeared to be manually driven, suggesting that the vehicle’s current prototypes may still be produced with temporary steering controls.
The Tesla Cybercab is designed to be the company’s highest-volume vehicle, with CEO Elon Musk estimating that the autonomous two-seater should see an annual production rate of about 2 million units per year. To accomplish this, Tesla will be building the Cybercab using its “Unboxed” process, which should help the vehicle’s production line achieve outputs that are more akin to consumer electronics production lines.
Elon Musk
Teslas in the Boring Co. Vegas Loop are about to get a big change
Elon Musk has a big update for Teslas that operate within the Boring Company’s Vegas Loop.

Tesla vehicles operating in the Boring Company’s Vegas Loop are about to get a big change, CEO Elon Musk said.
In Las Vegas, the Boring Company operates the Vegas Loop, an underground tunnel system that uses Teslas to drop people off at various hotspots on the strip. It’s been active for a few years now and is expanding to other resorts, hotels, and destinations.
Currently, there are stops at three resorts: Westgate, the Encore, and Resorts World. However, there will eventually be “over 100 stations and span over 68 miles of tunnel,” the Vegas Loop website says.
The Loop utilizes Tesla Model 3 and Model Y vehicles to send passengers to their desired destinations. They are currently driven using the Full Self-Driving suite, but they also have safety drivers in each vehicle to ensure safety.
Tesla Cybertruck rides are crucial for Vegas Loop expansion to airport
Tesla and the Boring Company have been working to remove drivers from the vehicles used in the Loop, but now, it appears there is a set timeline to have them out, according to CEO Elon Musk:
The Tesla cars operating in The Boring Company tunnels under Las Vegas will be driverless in a month or two https://t.co/mX4nNrJui9
— Elon Musk (@elonmusk) October 18, 2025
Musk says the Boring Co. will no longer rely on safety drivers within the Teslas for operation. Instead, Tesla will look to remove the safety drivers from the cars within the next month or two, a similar timeline for what Musk believes the Robotaxi platform will look like in Austin.
In Texas, as Robotaxi continues to operate as it has since June, there are still safety monitors within the car who sit in the passenger’s seat. They are there to ensure a safe experience for riders.
When the route takes the vehicle on the highway, safety monitors move into the driver’s seat.
However, Tesla wants to be able to remove safety monitors from its vehicles in Austin by the end of the year, Musk has said recently.
In early September, Musk said that the safety monitors are “just there for the first few months to be extra safe.” He then added that there “should be no safety driver by end of year.”
The safety driver is just there for the first few months to be extra safe.
Should be no safety driver by end of year.
— Elon Musk (@elonmusk) September 4, 2025
-
Elon Musk2 days ago
SpaceX posts Starship booster feat that’s so nutty, it doesn’t even look real
-
Elon Musk1 day ago
Tesla Full Self-Driving gets an offer to be insured for ‘almost free’
-
News21 hours ago
Elon Musk confirms Tesla FSD V14.2 will see widespread rollout
-
News2 days ago
Tesla is adding an interesting feature to its centerscreen in a coming update
-
News4 days ago
Tesla launches new interior option for Model Y
-
News3 days ago
Tesla widens rollout of new Full Self-Driving suite to more owners
-
News4 days ago
Tesla makes big move with its Insurance program
-
Elon Musk2 days ago
Tesla CEO Elon Musk’s $1 trillion pay package hits first adversity from proxy firm