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.Â
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.Â
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 –Â 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.Â
Elon Musk
Tesla’s Semi truck factory is open with a detail that changes everything
Tesla’s dedicated Nevada Semi factory has opened, targeting 50,000 trucks per year as fleet adoptions accelerate nationwide.
Nearly nine years after Elon Musk unveiled the Tesla Semi in November 2017, the company is now opening a dedicated factory just outside of Reno, Nevada, and ramping toward mass production of 50,000 trucks per year.
Volume production began in March 2026 at the new Tesla Semi factory, with the competitive advantage not being the factory itself. Rather, it’s where Tesla built it. By constructing the 1.7 million square foot facility directly adjacent to Gigafactory Nevada in Sparks, Tesla closed the one supply chain loop that had delayed the Semi program for years. The 4680 battery cells that power the Semi are manufactured in the same complex, which significantly streamlines supply logistics. That single decision eliminates the bottleneck that forced Tesla to prioritize battery supply for passenger cars over the Semi throughout 2020, 2021, and 2022, which is precisely why the first deliveries slipped three years past the original target. Every other electric truck manufacturer sources its battery cells from a separate supplier, ships them to a separate factory, and absorbs the cost and delay that comes with that. Tesla built its Semi factory around its battery factory, and that vertical integration is what makes 50,000 trucks per year a realistic number rather than an aspirational one.
At the 2025 Annual Shareholder Meeting, Musk was direct about where things stood, stating “Starting next year, we will manufacture the Tesla Semi. We already have a lot of prototype Semis in operation – PepsiCo and other companies have been using them for some time. But in 2026, we’ll begin volume production at our Northern Nevada factory.” Full ramp to volume output is targeted before June 30, 2026.
🚨 Awesome new video showing the new Tesla Semi factory in Sparks, Nevada
The future of sustainable logistics is being built here: pic.twitter.com/dbiGV8FYn3
— TESLARATI (@Teslarati) April 10, 2026
The first limited deliveries happened in December 2022 to PepsiCo, which eventually doubled its fleet to 50 trucks out of its California distribution facility. Since then the Semi has been showing up in more corporate fleets. As Teslarati noted in March, a Ralph’s Supermarkets branded Semi was spotted on a Los Angeles highway, confirming Kroger’s partnership with Tesla to deploy up to 500 electric Semis. Walmart, Costco, Sysco, US Foods, DHL, Hight Logistics and WattEV are among the companies actively running or receiving units. DHL logged real-world efficiency of 1.72 kWh per mile under a full 75,000 pound load over 388 miles, matching Tesla’s targets closely.
The 2026 production model arrives with meaningful upgrades over the original, with a 1,000 pound weight reduction, updated aerodynamics, and support for 1.2 MW Megacharger speeds that can restore 60% of range in around 30 minutes during a mandatory driver rest break. Tesla opened its first public Megacharger in Ontario, California in March, positioned near the I-10 and I-15 interchange serving the Ports of Los Angeles and Long Beach. The company plans 37 Megacharger sites by end of 2026 and 66 total across 15 states by early 2027, with construction beginning at the nation’s largest truck stop operator in the first half of this year.
Tesla reveals various improvements to the Semi in new piece with Jay Leno
Musk has described the Semi’s economics as a straightforward case. “The Semi is a TCO no-brainer,” he said, noting the total cost of ownership is “much, much cheaper than any other transportation you could have.” At under $300,000, the truck costs roughly double a comparable diesel, but California’s $200,000 per vehicle subsidy has driven over 1,000 state orders alone. As Teslarati has tracked, the prototype fleet accumulated over 13.5 million miles with 95% fleet uptime before production ever scaled. The factory opening now turns that proof of concept into a production program.
News
Tesla Full Self-Driving gets first-ever European approval
Tesla owners in the Netherlands with a Full Self-Driving subscription will receive a software update “shortly,” the company said, activating the operation of the company’s semi-autonomous driving tech for the first time in Europe.
Tesla Full Self-Driving (Supervised) got its first-ever European approval, as the Netherlands gave the suite the green light to begin operation.
Tesla owners in the Netherlands with a Full Self-Driving subscription will receive a software update “shortly,” the company said, activating the operation of the company’s semi-autonomous driving tech for the first time in Europe.
The Dutch vehicle authority RDW granted the type approval after more than 18 months of rigorous testing on both closed tracks and public roads. FSD Supervised complies with UN R-171 standards and benefits from Article 39 exemptions under EU Regulation 2018/858. Importantly, it is not a fully autonomous vehicle.
The RDW stressed that the driver remains fully responsible and must maintain attention at all times. “Safety is paramount for the RDW,” the authority stated. “Proper use of this driver assistance system contributes positively to road safety.” Sensors monitor driver alertness, issuing warnings if eyes leave the road or hands are unavailable to take control immediately.
CEO Elon Musk also commented on the approval in a post on X, saying:
“First (supervised) FSD approval in Europe! Congratulations to the Tesla team and thank you to the regulatory authorities in the Netherlands for all of the hard work required to make this happen.”
First (supervised) FSD approval in Europe!
Congratulations to the Tesla team and thank you to the regulatory authorities in the Netherlands for all the hard work required to make this happen. https://t.co/8hidEOPSxm
— Elon Musk (@elonmusk) April 10, 2026
Trained on billions of kilometers of real-world driving data, FSD Supervised allows the vehicle to handle residential streets, dense city traffic, and highways under constant supervision. Tesla’s post declared:
“It can drive you almost anywhere under your supervision – from residential roads to city streets & highways. No other vehicle can do this.”
The company added that it is “excited to bring FSD Supervised to more European countries soon.”
This national approval paves the way for broader EU adoption. Other member states can recognize the Dutch certification individually, with a potential bloc-wide rollout via European Commission committee vote anticipated by this Summer. The decision underscores Europe’s stricter safety and documentation requirements compared to U.S. self-certification.
Tesla Europe shares FSD test video weeks ahead of launch target
The Netherlands’ approval represents a pivotal step for Tesla in Europe, where complex regulations and mixed traffic have delayed rollout. Musk added that the RDW was “rigorous” in its assessment of FSD.
By proving the system’s safety in one of the continent’s most bicycle- and tram-heavy nations, Tesla positions itself to transform mobility across the EU—delivering greater convenience while keeping drivers firmly in control.
As the first domino falls, anticipation builds for FSD Supervised to reach additional countries soon.
News
Tesla is using a redesigned Cybertruck battery cell to mitigate Semi challenges
It is perhaps the most recent example of Tesla using unique engineering prowess and cross-pollinating vehicle elements to solve common problems, something it does better than most companies out there.
Tesla revealed that it is utilizing redesigned Cybertruck battery cells in its Long Range Semi to mitigate some pertinent challenges that come with long-haul logistics.
It is perhaps the most recent example of Tesla using unique engineering prowess and cross-pollinating vehicle elements to solve common problems, something it does better than most companies out there.
Tesla’s long-awaited Semi truck is entering production at its Nevada Gigafactory, and fresh factory footage reveals a clever evolution in its battery technology.
The Long Range variant, designed for up to 500 miles of real-world range, relies on a structural battery pack that uses the same 4680-form-factor cells found in the Cybertruck.
However, Tesla engineers have completely redesigned the pack’s architecture—shifting from the flat, pancake-style modules typical in passenger vehicles to a compact, vertical cubic layout. This change isn’t just about cramming more energy into the chassis; it’s a targeted solution to one of electric trucking’s biggest headaches: range loss in cold climates.
Dan Priestley, Head of the Tesla Semi program, said:
“We’re using essentially the same cell out of Cybertruck, but our cars packs are more like a pancake. Whereas these are more like a cube. You get a lot of energy stored in a small space. You can only do this if you design the vehicle to be electric from the ground up.”
Here, in all its glory, is the exclusive first look at the massive @Tesla Semi factory.
Our @corememory crew went to Nevada to see the line come to life, as it gets ready to pump out thousands of all-electric trucks. We saw the new cab and went on a drive too. Wunderbar! pic.twitter.com/a0S5zVEr87
— Ashlee Vance (@ashleevance) April 10, 2026
In conventional EVs, battery packs are laid out horizontally in wide, flat arrays to fit under the floor. While this works for cars and even the Cybertruck’s structural pack, it exposes a large surface area to the elements.
Heat escapes quickly, especially overnight when the truck is parked. Cold temperatures slow chemical reactions inside lithium-ion cells, reducing available energy and forcing the vehicle to expend extra power warming the battery and cabin.
Real-world tests on vehicles like the Cybertruck show winter range losses of 20-40 percent, depending on conditions. For long-haul truck drivers operating in Canada, Scandinavia, or the northern U.S., this “silent killer” means unplanned stops, reduced payloads, and higher operating costs.
From personal experience, cold weather still impacts EV batteries even with various inventions and strategies that companies have come up with. In the cold Pennsylvania winter, charging was much more frequent for me due to range loss due to temperatures.
Tesla’s cubic battery pack flips the script. By arranging the 4680 cells in tall, dense vertical stacks, the pack minimizes external surface area relative to its volume—essentially turning the battery into its own thermal blanket.
Factory video from the Semi assembly line shows these large, yellow-green structural modules mounted directly onto the chassis, forming a near-cube shape.
The reduced exposure helps the pack retain heat generated during operation, keeping cells closer to their optimal temperature even after hours in sub-zero conditions.
The design doesn’t stop there. Tesla pairs the cubic pack with an advanced heat pump system that actively recycles thermal energy from the motors, brakes, and even ambient air.
Tesla reveals various improvements to the Semi in new piece with Jay Leno
Unlike passive systems in earlier EVs, this architecture transfers waste heat back into the battery, maintaining readiness for morning departures without draining the pack.
Executives have noted that the combination, cubic geometry plus intelligent thermal management, dramatically cuts overnight cooldown and range degradation, making the Semi viable for 24/7 fleet operations in harsh winters.
Beyond cold-weather performance, the redesigned pack integrates structurally with the truck’s frame, enhancing rigidity while simplifying assembly. Production footage shows workers installing the massive modules early in the line, signaling that the Semi’s battery is now a core chassis component rather than an add-on.
Using proven 4680 cells keeps costs down and leverages Tesla’s scaled manufacturing know-how from Cybertruck and Model Y lines.
Tesla’s focus on ramping up Semi output will lean on small innovative steps like this one. Truckers are not immune to traveling in cold weather conditions, and changes like this one will help make them more effective while also increasing output by logistics operators who choose to go all-electric with the Tesla Semi.
Tesla’s Semi truck factory is open with a detail that changes everything
Tesla Full Self-Driving gets first-ever European approval
