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.
Elon Musk
Tesla’s Q1 delivery figures show Elon Musk was right
On the surface, the numbers reflect a mature EV market facing competition, softening demand, and the loss of certain incentives. Yet they also quietly validate a prediction Elon Musk has repeated for years: Tesla’s traditional auto business is becoming far less central to the company’s future.
Tesla reported its Q1 delivery figures on Thursday, and the figures — solid but unspectacular — show that CEO Elon Musk was right about what the company’s most important production and division would be.
We are seeing that shift occur in real time.
Tesla delivered 358,023 vehicles in the first quarter of 2026, according to the company’s official report released April 2.
The figure represents modest year-over-year growth of roughly 6 percent from Q1 2025’s 336,681 deliveries but a sharp sequential drop from Q4 2025’s 418,227. Production reached 408,386 vehicles, while energy storage deployments hit 8.8 GWh.
On the surface, the numbers reflect a mature EV market facing competition, softening demand, and the loss of certain incentives. Yet they also quietly validate a prediction Elon Musk has repeated for years: Tesla’s traditional auto business is becoming far less central to the company’s future.
Musk has long argued that vehicles alone will not define Tesla’s value.
Optimus Will Be Tesla’s Big Thing
In September 2025, Musk stated bluntly on X that “~80% of Tesla’s value will be Optimus,” the company’s humanoid robot.
He has described Optimus as potentially “more significant than the vehicle business over time.” Those comments were not abstract futurism. In January 2026, during the Q4 2025 earnings call, Musk announced the end of Model S and X production, framing it as an “honorable discharge,” he called it.
Those are the biggest factors.
~80% of Tesla’s value will be Optimus.
— Elon Musk (@elonmusk) September 1, 2025
The Fremont factory space, once dedicated to those flagship sedans, is being converted into an Optimus manufacturing line, with a long-term target of one million robots per year from that single facility alone.
The Q1 2026 numbers arrive at precisely the moment this strategic pivot is accelerating. Model 3 and Y deliveries totaled 341,893 units, while “other models” (including Cybertruck, Semi, and the final wave of S/X) added 16,130.
Growth is no longer explosive because Tesla is no longer chasing volume at all costs. Instead, the company is reallocating capital and factory floor space toward autonomy, energy storage, and robotics, businesses Musk believes will command far higher margins and enterprise value than incremental car sales.
Delivery Hits and Misses are Becoming Less Important
Wall Street’s pre-release consensus had pegged deliveries near 365,000. Coming in below that estimate might have rattled investors focused solely on automotive metrics. Yet Musk’s thesis has never been about maximizing quarterly vehicle shipments.
Tesla, he has insisted, “has never been valued strictly as a car company.”
The modest Q1 auto performance, paired with the deliberate wind-down of legacy programs and the ramp of Optimus, underscores that point. While EV demand stabilizes, Tesla is building the infrastructure for Robotaxis and humanoid robots that could dwarf today’s car business.
The future is here, and it is happening. It’s funny to think about how quickly Tesla was able to disrupt the traditional automotive business and force many car companies to show their hand. But just as fast as Tesla disrupted that, it is now moving to disrupt its own operation.
Cars, once the only recognizable and widely-known division of Tesla, is now becoming a background effort, slowly being overtaken by the company’s ambitions to dominate AI, autonomy, and robotics for years to come.
Critics may still view the shift as risky or premature. But the Q1 figures, solid but unspectacular in the auto segment, illustrate exactly what Musk has been signaling: the era when Tesla’s valuation rose and fell with every Model Y delivery is ending.
The company’s long-term bet is on AI-driven products that turn vehicles into high-margin robotaxis and factories into robot foundries. Thursday’s delivery report did not just meet the market’s tempered expectations; it proved Elon Musk was right all along.
The car business, once everything, is quietly becoming an important piece of a much larger puzzle.
Investor's Corner
Tesla reports Q1 deliveries, missing expectations slightly
The figure, however, fell short of Wall Street’s consensus estimate of 365,645 units, reflecting ongoing headwinds in the global EV market.
Tesla reported deliveries for the first quarter of 2026 today, missing expectations set by Wall Street analysts slightly as the company aims to have a massive year in terms of sales, along with other projects.
Tesla delivered 358,023 vehicles in the first quarter of 2026, marking a 6.3 percent increase from 336,681 vehicles in Q1 2025.
The figure, however, fell short of Wall Street’s consensus estimate of 365,645 units, reflecting ongoing headwinds in the global EV market. Production reached approximately 362,000 vehicles, with Model 3 and Model Y accounting for the vast majority. The results come as Tesla navigates softening demand, intensifying competition in China and Europe, and the expiration of key U.S. federal tax incentives.
🚨 BREAKING: Tesla delivered 358,023 vehicles in Q1 2026
Tesla also reported record energy deployments of 8.8 GWh
Wall Street had delivery consensus estimates of 365,645 pic.twitter.com/EVNAu5L3UT
— TESLARATI (@Teslarati) April 2, 2026
Energy storage deployments provided a bright spot, hitting a record 8.8 GWh in Q1. This underscores the accelerating momentum in Tesla’s energy segment, which has become a critical growth driver even as automotive volumes stabilize.
Year-over-year, the energy business continues to outpace vehicle sales, with analysts noting strong backlog demand for Megapack systems amid rising grid-scale needs for renewables and AI data centers.
Looking ahead, analysts project full-year 2026 vehicle deliveries in the range of 1.69 million units—a modest 3-5% rise from roughly 1.64 million in 2025.
Growth is expected to accelerate in the second half as production ramps and new incentives emerge in select markets. However, risks remain: persistent high interest rates, price competition from legacy automakers and Chinese EV makers, and potential margin pressure could cap upside.
Tesla has not issued official full-year guidance, but executives have signaled confidence in sequential quarterly improvements driven by cost reductions and refreshed lineups.
By the end of 2026, Tesla plans several major product launches to reignite momentum. The refreshed Model Y, including a new 7-seater variant already rolling out in select markets, is expected to boost family-oriented sales with updated styling, efficiency gains, and interior enhancements.
Autonomous ambitions remain central to Tesla’s mission, and that’s where the vast majority of the attention has been put. Volume production of the Cybercab (Robotaxi) is targeted to begin ramping in 2026, potentially unlocking new revenue streams through unsupervised Full Self-Driving (FSD) deployment.
A next-generation affordable EV platform, possibly under $30,000, is also in advanced planning stages for 2026 or 2027 introduction. On the energy front, the Megapack 3 and larger Megablock systems will drive further deployment scale.
While Q1 highlights transitional challenges in autos, Tesla’s diversified roadmap, spanning refreshed consumer vehicles, commercial trucks, Robotaxis, and explosive energy growth, positions the company for a stronger second half and beyond. Investors will watch Q2 closely for signs of sustained recovery, especially with new vehicles potentially on the horizon.
Elon Musk
NASA sends humans to the Moon for the first time since 1972 – Here’s what’s next
NASA’s Artemis II launched four astronauts toward the Moon on the first crewed lunar mission since 1972.
NASA’s Space Launch System rocket launches carrying the Orion spacecraft with NASA astronauts Reid Wiseman, commander; Victor Glover, pilot; Christina Koch, mission specialist; and CSA (Canadian Space Agency) astronaut Jeremy Hansen, mission specialist on NASA’s Artemis II mission, Wednesday, April 1, 2026, from Operations and Support Building II at NASA’s Kennedy Space Center in Florida. NASA’s Artemis II mission will take Wiseman, Glover, Koch, and Hansen on a 10-day journey around the Moon and back aboard SLS rocket and Orion spacecraft launched at 6:35pm EDT from Launch Complex 39B. (NASA/Bill Ingalls)
NASA launched four astronauts toward the Moon on April 1, 2026, marking the first crewed lunar mission since Apollo 17 in December 1972. The Artemis II mission lifted off from Kennedy Space Center aboard the Space Launch System rocket at 6:35 p.m. EDT, sending commander Reid Wiseman, pilot Victor Glover, mission specialist Christina Koch, and Canadian astronaut Jeremy Hansen on a 10-day journey around the far side of the Moon and back.
The mission does not include a lunar landing. It is a test flight designed to validate the Orion spacecraft’s life support systems, navigation, and communications in deep space with a crew aboard for the first time. If the crew reaches the planned distance of 252,000 miles from Earth, they will set a new record for the farthest any human has ever traveled, surpassing even the Apollo 13 distance record.
As Teslarati reported, SpaceX holds a central role in what comes next. The Starship Human Landing System is under contract to carry astronauts to the lunar surface for Artemis IV, now targeting 2028, after NASA restructured its mission sequence due to delays in Starship’s orbital refueling demonstration. Before any Moon landing happens, SpaceX must prove it can transfer propellant between two Starships in orbit, something no rocket program has done at this scale.
The last time humans left Earth’s orbit was 53 years ago. Gene Cernan and Harrison Schmitt of Apollo 17 were the final people to walk on the Moon, a record that stands to this day. Elon Musk has long argued that returning is not optional. “It’s been now almost half a century since humans were last on the Moon,” Musk said. “That’s too long, we need to get back there and have a permanent base on the Moon.”
The Artemis program involves 60 countries signed onto the Artemis Accords, and this mission sets several firsts beyond distance. Glover becomes the first person of color to travel beyond low Earth orbit, Koch the first woman, and Hansen the first non-American astronaut to reach the Moon’s vicinity. According to NASA’s live mission updates, the spacecraft’s solar arrays deployed successfully after liftoff and the crew completed a proximity operations demonstration within the first hours of flight.
Artemis II is step one. The Moon landing and the permanent lunar base come later. But after more than five decades, humans are heading back.
Tesla’s Q1 delivery figures show Elon Musk was right
Tesla reports Q1 deliveries, missing expectations slightly
NASA sends humans to the Moon for the first time since 1972 – Here’s what’s next
Elon Musk says Tesla is developing a new vehicle: ‘Way cooler than a minivan’
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
