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
I figured out how to charge my Tesla at my rented townhouse – Here’s how
I hope that this article is able to help the prospective EV buyer or the current Tesla owner who is living in a rental and does not have a straightforward solution to home charging. My situation will be presented in this article, and I will tell you why I went with the solution I went with, and alternatives, because there is more than one way to do this.
When I bought my Tesla Model Y Premium All-Wheel-Drive last year, I knew I would have to try to figure out a way not become totally reliant on Superchargers. After about six months of ownership, it came time to resolve that problem once and for good, and being a tenant in a rented townhouse community definitely added to my challenge.
Before I even bought my Tesla, I emailed my leasing office to see if the community had any plans to bring EV charging to the neighborhood. I had made myself available to them as I am familiar with a lot of the solutions out there and how much of an advantage this could be for the community, and attracting new tenants. After months of trying, I bought my Tesla in August anyway, and figured I’d be able to find an answer — whether positive or negative — and go from there.
I hope that this article is able to help the prospective EV buyer or the current Tesla owner who is living in a rental and does not have a straightforward solution to home charging. My situation will be presented in this article, and I will tell you why I went with the solution I went with, and alternatives, because there is more than one way to do this.
My Challenge with Home Charging
In a rental community, apartment complex, or even townhouse row, parking spots are a little complicated. I have assigned parking at my house, and unfortunately, my parking spot is not right in front of my front door. Instead, it is staggered, so my car is parked in front of my neighbor’s front door.
Initially, I had spoken to my neighbor whose spot is right in front of my front door and had gotten permission to park in their spot during the day while it is vacant. However, I was not going to be able to upgrade my outlet from a 110v-120v to the typical and suggested 220v-240v alternative.
I knew that this would mean I would need to be in my permanent spot because charging sufficiently, especially in preparation for trips or errands, would require overnight charging.
The Tesla Mobile Connector is 20 feet long, which is sufficient for most applications. Mine, however, required about 30 feet, maybe even a little more, to charge.
My Options
I had a few options: Use the Mobile Connector and park in my neighbor’s spot and charge when I could, buy an 8 or 10-gauge extension cord that could handle moving power from the Mobile Connector to my car, or buy an NACS to NACS extension cord.
I didn’t really want to do the first option, considering I knew that spot would only be available when my neighbor was not there. It didn’t seem like a viable option, and I figured it would be better to figure out something from my personal, permanent parking spot anyway.
The 10-gauge extension cord option was what I first considered: it was less expensive than buying an NACS extension, it was more readily available, and it was the first thing my friends who are electricians recommended.
However, running this option would have put the Mobile Connector in the grass or on the ground, and I was not interested in doing that. Running the risk of having that $300 connector that came with the car in the grass and exposing it to dew, dogs, and various other things just did not seem like the best idea.
I looked around for some NACS to NACS connectors, and there are a lot of options. Given that this was something that was going to plug into a $50,000 car, I chose to spend the additional money on one that was not from Amazon, and I went with this one from A2Z, which was recommended by other owners, and their reputation seemed more than positive. I was leaning toward this option anyway because it would keep the Mobile Connector off the ground, and it gave me an additional 16 feet of length to work with.
This was the solution.
Putting It Into Action
It was a relatively simple process: Plug the Mobile Connector into my house, plug the NACS to NACS extension into the Mobile Connector, plug the NACS extension into the car. It all worked immediately, but there are some things you should know if you are also planning to do this.
The first is that you should be very aware that these cables are going to be a target of thieves. I don’t have too much of an issue with this in my area, but if you’re in a place where copper wiring is heavily sought after, be sure to keep these in a place where they won’t be stolen. I put mine away when they’re not charging, and at night, they’re visible from my Ring camera, so I’m not overly concerned. Definitely be aware of it, though.
Additionally, if you’re going to run it across the sidewalk like I am, you’re going to want to pick up some sort of cable cover from a local hardware store. I picked up this one from Amazon because it was a little more heavy-duty, and it was big enough to cover the thicker gauge of the NACS to NACS extension:
I’ve considered picking up a second one for the visible cable, but I am undecided.
So far, I’ve been able to add some range to my car three times using this strategy, and while it is very slow, it is definitely worth it. It’s better than it sitting there stagnant.
Speed of Charging
Tesla says the Mobile Connector will provide you with between 3 and 5 miles of range per hour when plugged into a typical wall outlet. That is about what I’ve gotten with it. From 30 percent to 80 percent, be aware that it will take well over 24 hours to charge your car.
I plan to cover some additional details on this as time goes on, including any troubleshooting I might have to do, how much my electric bill goes up, and whether or not I run into any issues with my neighbors or my leasing office.
If you’re looking for some help on an at-home charging solution or have any questions about my setup, please email me at joey@teslarati.com.
🚨 I FINALLY figured out a way to charge my Tesla at home as a renter — Using Superchargers exclusively was inconvenient, tough on the battery, and expensive
Here’s how I did it: https://t.co/TZokpc6Fh3 pic.twitter.com/UtRYKLvB2Y
— TESLARATI (@Teslarati) March 2, 2026
Elon Musk
Starlink V2 to bring satellite-to-phone service to Deutsche Telekom in Europe
Starlink stated that the system is designed to deliver 5G speeds directly to compatible smartphones in remote areas.
Starlink is partnering with Deutsche Telekom to roll out satellite-to-mobile connectivity across Europe, extending coverage to more than 140 million subscribers across 10 countries.
The service, planned for launch in 2028 in several Telekom markets, including Germany, will use Starlink’s next-generation V2 satellites and Mobile Satellite Service (MSS) spectrum to enable direct-to-device connectivity.
In a post on X, the official Starlink account stated that the agreement will be the first in Europe to deploy its V2 next-generation satellite-to-mobile technology using new MSS spectrum. The company added that the system is designed to deliver 5G speeds directly to compatible smartphones in remote areas.
Abdu Mudesir, Board Member for Product and Technology at Deutsche Telekom, shared his excitement for the partnership in a press release. “We provide our customers with the best mobile network. And we continue to invest heavily in expanding our infrastructure. At the same time, there are regions where expansion is especially complex due to topographical conditions or official constraints,” he said.
“We want to ensure reliable connectivity for our customers in those areas as well. That is why we are strategically complementing our network with satellite-to-mobile connectivity. For us, it is clear: connectivity creates security and trust. And we deliver. Everywhere.”
Under the partnership, compatible smartphones will automatically switch to Starlink’s satellite network when terrestrial coverage is unavailable, enabling access to data, voice, video, and messaging services.
Telekom reports 5G geographic coverage approaching 90% in Germany, with LTE exceeding 92% and voice coverage reaching up to 99%. Starlink’s satellite layer is intended to extend connectivity beyond those terrestrial limits, particularly in topographically challenging or infrastructure-constrained areas.
Stephanie Bednarek, VP of Starlink Sales, also shared her thoughts on the partnership. “We’re so pleased to bring reliable satellite-to-mobile connectivity to millions of people across 10 countries in partnership with Deutsche Telekom. This agreement will be the first-of-its-kind in Europe to launch Starlink’s V2 next-generation technology that will expand on data, voice and messaging by providing broadband directly to mobile phones,” she said.
Starlink’s V2 constellation is designed to expand bandwidth and capacity compared to its predecessor. If implemented as outlined, the 2028 launch would mark one of the first large-scale European deployments of integrated satellite-to-phone connectivity by a major telecom operator.
News
Tesla back on top as Norway’s EV market surges to 98% share in February
Tesla became Norway’s top-selling brand with 1,210 registrations, representing a 16.6% share.
Tesla reclaimed the top spot in Norway’s auto market in February as electric vehicles captured more than 98% of all new car registrations.
The rebound follows a sharp January slump triggered by VAT rule changes, which prompted numerous car buyers to advance their purchases into late 2025.
As per data from the Norwegian Road Traffic Information Council (OFV), 7,127 new electric vehicles were registered in February, representing a 98.01% market share. Fossil-fuel vehicles and hybrids accounted for just 2% of total new registrations.
Total new car registrations reached 7,272 units in February, hinting at a rapid recovery after January sales fell nearly 75% year-over-year following VAT adjustments.
OFV Director Geir Inge Stokke noted that similar patterns were observed after previous VAT changes in 2022, with demand temporarily weakening before normalizing, as noted in an Allt Om Elbil report.
“We are now seeing signs that the market is returning to a more normal level of activity, which we also experienced after the VAT change in 2022. At that time, changes in demand led to a weak start to 2023. We have seen the same pattern this year,” he said.
Amidst this trend, the Tesla Model Y made a strong comeback in the domestic market. After an unusually weak January that saw the Tesla Model Y drop to seventh place, the model returned to the top of Norway’s sales chart in February.
The Model Y recorded 1,073 registrations, giving it a 14.8% market share for the month. Tesla also became Norway’s top-selling brand with 1,210 registrations, representing a 16.6% share. Toyota followed with 941 registrations, while Volkswagen, Volvo, and Skoda rounded out the top five brands.
The February data suggests that Tesla’s January dip was tied more to timing effects around VAT adjustments than to structural demand shifts. It would then be interesting to see how the rest of the year unfolds for Tesla, particularly as the company pushes for the release of its Full Self-Driving (Supervised) system to Europe this year.
I figured out how to charge my Tesla at my rented townhouse – Here’s how
Starlink V2 to bring satellite-to-phone service to Deutsche Telekom in Europe
