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.
With the launch of a new trim level for the Model Y last night, something almost went unnoticed — the loss of a moniker that Tesla just recently added to a couple of its variants of the all-electric crossover.
Tesla launched the Model Y All-Wheel-Drive last night, competitively priced at $41,990, but void of the luxurious features that are available within the Premium trims.
Upon examination of the car, one thing was missing, and it was noticeable: Tesla dropped the use of the “Standard” moniker to identify its entry-level offerings of the Model Y.
The Standard Model Y vehicles were introduced late last year, primarily to lower the entry price after the U.S. EV tax credit changes were made. Tesla stripped some features like the panoramic glass roof, premium audio, ambient lighting, acoustic-lined glass, and some of the storage.
Last night, it simply switched the configurations away from “Standard” and simply as the Model Y Rear-Wheel-Drive and Model Y All-Wheel-Drive.
There are three plausible reasons for this move, and while it is minor, there must be an answer for why Tesla chose to abandon the name, yet keep the “Premium” in its upper-level offerings.
“Standard” carried a negative connotation in marketing
Words like “Standard” can subtly imply “basic,” “bare-bones,” or “cheap” to consumers, especially when directly contrasted with “Premium” on the configurator or website. Dropping it avoids making the entry-level Model Y feel inferior or low-end, even though it’s designed for affordability.
Tesla likely wanted the base trim to sound neutral and spec-focused (e.g., just “RWD” highlights drivetrain rather than feature level), while “Premium” continues to signal desirable upgrades, encouraging upsells to higher-margin variants.
Simplifying the overall naming structure for less confusion
The initial “Standard vs. Premium” split (plus Performance) created a somewhat clunky hierarchy, especially as Tesla added more variants like Standard Long Range in some markets or the new AWD base.
Removing “Standard” streamlines things to a more straightforward progression (RWD → AWD → Premium RWD/AWD → Performance), making the lineup easier to understand at a glance. This aligns with Tesla’s history of iterative naming tweaks to reduce buyer hesitation.
Elevating brand perception and protecting perceived value
Keeping “Premium” reinforces that the bulk of the Model Y lineup (especially the popular Long Range models) remains a premium product with desirable features like better noise insulation, upgraded interiors, and tech.
Eliminating “Standard” prevents any dilution of the Tesla brand’s upscale image—particularly important in a competitive EV market—while the entry-level variants can quietly exist as accessible “RWD/AWD” options without drawing attention to them being decontented versions.
You can check out the differences between the “Standard” and “Premium” Model Y vehicles below:
@teslarati There are some BIG differences between the Tesla Model Y Standard and Tesla Model Y Premium #tesla #teslamodely ♬ Sia – Xeptemper
Elon Musk
Tesla bull sees odds rising of Tesla merger after Musk confirms SpaceX-xAI deal
Dan Ives of Wedbush Securities wrote on Tuesday that there is a growing chance Tesla could be merged in some form with SpaceX and xAI over the next 12 to 18 months.
A prominent Tesla (NASDAQ:TSLA) bull has stated that the odds are rising that Tesla could eventually merge with SpaceX and xAI, following Elon Musk’s confirmation that the private space company has combined with his artificial intelligence startup.
Dan Ives of Wedbush Securities wrote on Tuesday that there is a growing chance Tesla could be merged in some form with SpaceX and xAI over the next 12 to 18 months.
“In our view there is a growing chance that Tesla will eventually be merged in some form into SpaceX/xAI over time. The view is this growing AI ecosystem will focus on Space and Earth together…..and Musk will look to combine forces,” Ives wrote in a post on X.
Ives’ comments followed confirmation from Elon Musk late Monday that SpaceX has merged with xAI. Musk stated that the merger creates a vertically integrated platform that combines AI, rockets, satellite internet, communications, and real-time data.
In a post on SpaceX’s official website, Elon Musk added that the combined company is aimed at enabling space-based AI compute, stating that within two to three years, space could become the lowest-cost environment for generating AI processing power. The transaction reportedly values the combined SpaceX-xAI entity at roughly $1.25 trillion.
Tesla, for its part, has already increased its exposure to xAI, announcing a $2 billion investment in the startup last week in its Q4 and FY 2025 update letter.
While merger speculation has intensified, notable complications could emerge if SpaceX/xAI does merge with Tesla, as noted in a report from Investors Business Daily.
SpaceX holds major U.S. government contracts, including with the Department of Defense and NASA, and xAI’s Grok is being used by the U.S. Department of War. Tesla, for its part, maintains extensive operations in China through Gigafactory Shanghai and its Megapack facility.
Elon Musk
Elon Musk and xAI donate generators to TN amid historic power outages
The donation comes as thousands of households have gone days without electricity amid freezing temperatures.
Elon Musk has donated hundreds of generators to Tennessee residents still without power following a historic winter storm, as per an update from Governor Bill Lee.
The donation comes as thousands of households have gone days without electricity amid freezing temperatures.
Musk donates generators
As noted in a report from WSMV4, the historic storm that hit Tennessee resulted in hundreds of thousands of residents experiencing a power outage at the end of January. Thousands are still living without power or heat in freezing temperatures for up to nine days.
As per TN Gov. Bill Lee in a post on X, Elon Musk and xAI have donated hundreds of generators to assist residents in affected areas. “Tennesseans without power need immediate help. I’m deeply grateful to @elonmusk & @xAI for going above & beyond to support Tennesseans by donating hundreds of generators to fill the gap, & I value their continued partnership to solve problems & support communities across our state,” he wrote in his post.
Tennessee officials have stated that recovery efforts remain ongoing as crews work to restore power and address damage caused by the winter storm. The generators are expected to provide temporary relief for residents facing power outages during freezing conditions.
Tesla Powerwalls may follow
Musk publicly responded to the governor’s post while hinting that additional help may be on the way. This time, the additional support would be coming from Musk’s electric vehicle company, Tesla.
“You’re most welcome. We’re working on providing Tesla Powerwalls too,” Musk wrote in his response to the official.
Even before Elon Musk’s comment, Tesla had already extended help to affected customers in Mississippi and Tennessee. In a post on X, the official Tesla Charging account noted that all Superchargers in the two states are online, and free Supercharging has been enabled to help those in areas that are affected by persistent power outages.
These include Grenada, Tupelo, Corinth, Southhaven, and Horn Lake in Mississippi and several Supercharging sites in Memphis, Tennessee.
Tesla brings closure to Model Y moniker with launch of new trim level
Tesla bull sees odds rising of Tesla merger after Musk confirms SpaceX-xAI deal
