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
Starlink gets its latest airline adoptee for stable and reliable internet access
The company said it plans to “rapidly integrate Starlink into its fleet,” and that the first Starlink-equipped aircraft will enter service this Summer.
SpaceX’s Starlink, the satellite internet program launched by Elon Musk’s company, has gotten its latest airline adoptee, offering stable and reliable internet to passengers.
Southwest Airlines announced on Wednesday that it would enable Starlink on its aircraft, a new strategy that will expand to more than 300 planes by the end of the year.
The company said it plans to “rapidly integrate Starlink into its fleet,” and that the first Starlink-equipped aircraft will enter service this Summer.
Tony Roach, Executive Vice President, Chief Customer and Brand Officer for the airline, said:
“Free WiFi has been a huge hit with our Rapid Rewards Members, and we know our Customers expect seamless connectivity across all their devices when they travel. Starlink delivers that at-home experience in the air, giving Customers the ability to stream their favorite shows from any platform, watch live sports, download music, play games, work, and connect with loved ones from takeoff to landing.”
Southwest also said that this is just one of the latest upgrades it is making to provide a more well-rounded experience to its aircraft. In addition to Starlink, it is updating cabin designs, offering more legroom, and installing in-seat power to all passengers.
Southwest became one of several airlines to cross over to Starlink, as reviews for the internet provider have raved about reliability and speed. Over the past year, Hawaiian Airlines, United Airlines, Alaska Airlines, airBaltic, Air France, JSX, Emirates, British Airways, and others have all decided to install Starlink on their planes.
This has been a major move away from unpredictable and commonly unreliable WiFi offerings on planes. Starlink has been more reliable and has provided more stable connections for those using their travel time for leisure or business.
Jason Fritch, VP of Starlink Enterprise Sales at SpaceX, said:
“We’re thrilled to deliver a connectivity experience to Southwest Airlines and its Customers that really is similar, if not better, than what you can experience in your own home. Starlink is the future of connected travel, making every journey faster, smoother, and infinitely more enjoyable.”
Starlink recently crossed a massive milestone of over 10 million subscribers.
Elon Musk
Tesla nears closure of Full Self-Driving purchasing option
The move to bring FSD to this type of purchasing program comes after CEO Elon Musk noted in January that Tesla would move away from the outright purchase option.
Tesla is nearing the closure of its Full Self-Driving outright purchasing option, which will be removed on February 14, meaning Saturday will be the last time it can be bought as a non-subscription.
Tesla is aiming to move its Full Self-Driving suite to a subscription-only platform, a move that will enable people to only pay monthly for the semi-autonomous driving functionality.
The move to bring FSD to this type of purchasing program comes after CEO Elon Musk noted in January that Tesla would move away from the outright purchase option.
It is currently priced at $8,000 for the outright option to use Full Self-Driving, a substantial decrease compared to the $15,000 it was priced at one time. For the monthly subscription, it is just $99 per month, but that price will change, likely increasing as things get more advanced.
Tesla is overhauling its Full Self-Driving subscription for easier access
We say it will likely increase because there is no indication of how Tesla will price FSD. There has been some speculation that Tesla could utilize a tiered system to price FSD, which would potentially allow owners to pick and choose a set of features that would be most ideal for them.
This would potentially introduce an even more affordable option for FSD use, but this is unconfirmed. The reason many say this could be an option for Tesla is the fact that if the price goes up further, the take rate, which is currently around 12 percent at its most recent estimate, could be lower.
Musk needs 10 million active Full Self-Driving subscriptions to unlock one of the tranches of his newest compensation package.
The move to a subscription-only platform has its positives and negatives, and owners have been more than vocal about these since Musk confirmed the move.
Positives
- Lower barrier to entry and higher potential adoption
- Financially better for many users
- Easier transfers and brand loyalty
- Predictable recurring revenue for Tesla
- Access to the latest features
Negatives
- Higher long-term cost for loyal/long-term owners
- No true “ownership” or permanence
- Risk of future price hikes or even deactivation
- Perceived as of less value
- Impact on resale and used market
Overall, there is a split among the Tesla community in terms of what they see as the “right” way to handle this. Tesla is likely to shed more details on what its plans for the subscription-only platform will be, including pricing, in the coming weeks.
Elon Musk
Elon Musk’s Boring Company selected for Universal Orlando tunnel project
The underground transport tunnel is designed to address the persistent gridlock surrounding International Drive.
Elon Musk’s The Boring Company has been selected for a proposed underground transit system connecting Universal Orlando Resort and the newly opened Universal Epic Universe.
The underground transport tunnel is designed to address the persistent gridlock surrounding International Drive.
As noted in a blooloop report, Universal’s Shingle Creek Transit and Utility Community Development District approved a resolution showing its intent to designate The Boring Company as the contractor for the project.
The agreement covers the full scope of the project, from the tunnel’s design, construction, and maintenance. The project has also been described in public documents as a “point-to-point innovative transportation” initiative with a 25-year agreement.
The proposed Boring Company tunnels would directly link Universal’s existing parks with Epic Universe, which sits roughly three miles away from Universal Orlando Resort. Today, buses are the only direct connection between the two destinations.
Project requirements were quite stringent. Bidders were required to demonstrate at least $75 million in bonding capacity, have a minimum of seven years of operational experience, and show prior delivery of a comparable project valued at $25 million or more within the past 15 years. The Boring Company, thanks in no small part to the Vegas Loop, meets these requirements.
The Orlando selection adds to The Boring Company’s growing portfolio of Loop-style systems. In Las Vegas, the Las Vegas Convention Center Loop has transported more than two million passengers in Tesla vehicles through underground tunnels since 2021. The greater Vegas Loop system is also under construction.
For now, residents in the area seem enthusiastic about the upcoming project. In a comment to Fox35, residents noted that the tunnels could improve traffic in the area.
“We are very congested at certain times and certain hours and that would certainly help with people not having to budget their time,” Mary Walters-Clark, a resident, stated. Another resident, Scott Heinz, echoed similar sentiments. “I think it would be a new opportunity to lessen traffic load and good for visitors as well,” he said.
The tunneling startup has started bringing its Loop projects to international locations. It recently signed a memorandum of understanding with Dubai’s Roads and Transport Authority to explore the development of a 17-kilometer underground Loop network beneath Dubai.
Starlink gets its latest airline adoptee for stable and reliable internet access
Tesla nears closure of Full Self-Driving purchasing option
