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Tesla AI Day News Roundup: Optimus, FSD Beta & Dojo updates

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Tesla AI Day has officially kicked off. Guests have started entering the venue already.

AI Day is an event mainly held to recruit talented people and welcome them to Tesla. However, it is still a Tesla event, so everyone expects some product surprises and updates, specifically about the company’s humanoid robot, Optimus, Dojo, and Full Self-Driving.

Teslarati will be closely following the event. This is our news roundup for 2022 AI Day, covering key information Tesla reveals at the event.

Photos and Videos aren’t allowed during the event from attendees. However, guests were able to capture some cool photos of a Tesla Semi with Cybertruck graffiti, a literal fork on the road, and some other cool set ups around the premises.

Tesla’s former AI Head, Andrej Karpathy, has brought out the (metaphorical) popcorn. His brief “comment” hints that AI Day 2022 might be as exciting as everyone anticipates.

Elon Musk set some expectations about Optimus, reminding everyone that during AI Day 2021, Tesla’s humanoid bot was just “a guy in a robot suit.” Musk also laid out the topics for AI Day 2022, saying that Tesla will talk about Autopilot and Dojo, too.

Optimus Takes the Stage

Tesla didn’t waste any time and brought out Optimus immediately. According to a Tesla mechanical engineer, AI Day 2022 is the first time Optimus has been “let out”– so to speak– without any external support.

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“This is literally the first time the robot has walked on stage without a tether, on stage tonight,” Musk added. “The robot can actually do a lot more than we showed you. We just don’t want it to fall on its face.”

Tesla reveals videos of Optimus or in this case “Bumble-Cee” doing “work” around the Tesla office. Optimus carried a box from one area to another, watered plants, and even worked at the factory for a bit. The Tesla bot’s vision is very similar Autopilot.

Tesla also revealed Optimus’ potential final unit one production design. “Our goal is to make a useful humanoid robot as soon as possible,” said Elon Musk. The Tesla CEO also shared that Tesla aims to make Optimus’ price less than $20,000 or cheaper than a car.

Tesla is using some of the technology in its car in Optimus’ body as well, such as the battery pack, cooling system and more. The company also uses that same technology it uses for its cars to simulate Optimus’ movements and reactions to external collisions.

Tesla is basing Optimus’ body design on the human body. The company has been closely studying the structure of the human body while making the humanoid robot’s overall design. For instance, Tesla designed Optimus’ hands with the idea that factories worldwide are designed ergonomically, or optimized for the human hand. Teslarati briefly covered the significance of robots’ hands in a previous article, linked below.

FSD Beta Updates

The Tesla FSD Beta now has 160,000 customers, compared to 2,000 customers in 2021. Tesla is expected to release v.10.69.2.3 after AI Day, although a precise roll out date has not be announced yet.

Tesla explained the progress its made with Full Self-Driving Beta. The Tesla FSD experts explained how the Full Self-Driving makes decision to AI day guests and the role that customer data played to refine the software. The company also explained occupancy and the role it plays with 3D mapping and providing a birds-eye-view for the car. Tesla is working hard to optimize its video model training as well.

Tesla also talked a lot about its FSD Lane Networks during AI Day 2022. In the past few weeks, Teslarati has received reports from FSD testers, who specifically brought up issues with lane selection. To see “under the hood”–so to speak–somewhat explains the lane issues FSD testers experience on the road.

After multiple test loops and drives, there’s really just one main problem remaining for me at this point on 10.69.2, it’s significant, and that is lane selection,” noted long-time FSD tester Les. 

Tesla has developed a new auto-labeling machine to help with 3D labeling. The FSD experts explained how the software uses other clips to fill out the picture under certain conditions when the camera shows an unclear picture.

Tesla also talked a bit about simulation. The experts showed how it could simulate worlds or environments, using the data gathered from its fleet. It revealed a simulation of San Francisco that was created within two weeks by one employee. Tesla may update a simulated world quickly and as updated develop.

Dojo Updates

Tesla’s goal with Dojo is to build a single accelerator. A key step to realizing its goals was its training tile, which it unveiled during AI Day 2021. Tesla has been trying to figure out how to make its Dojo design scalable and has run into challenges along the way. However, the company’s “fail fast” mindset has helped it push through road blocks and move forward.

The Dojo team showed images of a Cybertruck and Semi running on Mars using stable diffusion achieved through Dojo.

Tesla experts explained that Dojo reduced work that would usually take months to a single week.

Tesla plans to build its first Exapod by 2023, which is expected to significantly increase its autolabeling output . It will be the first Exapod of 7 that Tesla plans to build in Palo Alto.

Tesla ended AI Day 2022 by answering questions from attendees. Tesla hopes that through their thorough explanations during the event, the company would be seen as more than an automaker. And, of course, Tesla hopes that its AI Day 2022 presentation also entices talented individuals to join the company.

The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101. 

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Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Elon Musk

Elon Musk and Trump are closer than ever, and Tesla could be the big winner

Elon Musk sat beside Trump as AI leaders signed a voluntary White House safety accord.

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Elon Musk had the seat right next to President Donald Trump on Tuesday as the White House hosted the leaders of America’s biggest artificial intelligence companies for a lunch that ended with a voluntary industry accord on AI safety.

A seating chart Trump posted on Truth Social placed Musk at the president’s left in the East Room, with Nvidia CEO Jensen Huang on his right, according to an Associated Press reporter. Anthropic CEO Dario Amodei, OpenAI President Greg Brockman, Meta’s Mark Zuckerberg, Google’s Sundar Pichai, Microsoft’s Satya Nadella and Amazon founder Jeff Bezos also attended, along with Vice President JD Vance and House Speaker Mike Johnson.

After the lunch, Trump told reporters outside the West Wing that the executives had signed “The White House Accord on Superintelligence: A Joint Commitment on Frontier SI Responsibilities.” Johnson described it as a voluntary statement of principles built on “robust internal controls and layers of internal and external review,” while Zuckerberg said company boards would independently review reports from outside auditors. Trump called the document “morally binding,” said he would name a new AI czar within days, and signed an executive order formally renaming artificial intelligence “super intelligence,” CNBC reported.

Musk was not in the room for Tesla alone. Since SpaceX absorbed xAI, he runs the company behind Grok and one of the largest AI training operations anywhere. On September 25, he said another 220,000 Nvidia GB300 chips would come online at Colossus 2 within a week, with more expected in November and December.

SpaceX confirms third massive compute deal at Colossus data center

 

Musk also used the trip to restate his energy ambitions. “SpaceX is aiming together with Tesla to do 200 gigawatts of solar production per year,” he said at an event in Washington. It is the same combined target he laid out that feeds directly into Terafab, the Tesla and SpaceX chip venture that will need enormous amounts of power.

The showing between Musk and Trump has come a long way, since the two had the very public split in mid 2025 after Musk opposed the “Big Beautiful Bill” and left DOGE. They reconciled at Charlie Kirk’s memorial that September, and Trump later called their relationship “good”. Since then, Musk has joined Trump’s China delegation in May and attended last week’s White House state dinner for Chinese President Xi Jinping.

For Tesla, that access to government official could pay dividends. As Teslarati noted in January, federal autonomy rules, NHTSA oversight and a single national standard for driverless vehicles all run through an administration Musk can more easily reach directly as Tesla works to scale Robotaxi and Cybercab beyond Texas.

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Elon Musk

Tesla Roadster’s new patent preps white-knuckle speeds, keeping it grounded

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Credit: @BLKMDL3/Twitter

Ahead of its highly anticipated unveiling, Tesla’s upcoming Roadster received a new patent that aims to keep it grounded while enabling white-knuckle speeds.

The patent, which was granted on September 29, is titled “Electric Car Fan,” bluntly stating its design but not its purpose, which is further detailed in the text of the application. Interestingly, it comes two weeks before the Roadster event, which was delayed due to unfavorable weather on Thursday, which could cause issues, as Tesla revealed the event must be held outdoors.

The purpose is to solve a problem that is relatively unique to high-performance electric cars. Instant motor torque is useless if the tires cannot plant that force, and conventional wings and underbody tunnels generate downforce only when air is already rushing past the car. At launch, in slow corners, and under hard braking from modest speed, passive aerodynamic additions contribute essentially very little to downforce.

Tesla’s filing says that its fans can produce the downforce needed, independent of vehicle velocity, then ease off so the same hardware does not pile on drag at highway speeds, an issue that can come from excessive body modifications.

The hardware outlined in the patent is a ducted-fan package that is placed into the rear of the vehicle. An underbody inlet between the rear wheels feeds a duct that rises to a wide outlet in the diffuser. In that outlet are four axial fans, which are divided by vertical strakes. They will pull air from under the floor and press the chassis onto the pavement.

The language in the patent claims it can cut drag rather than add to it while simultaneously increasing downforce.

Tesla Roadster event requires restricted airspace, and the FAA obliges

The fans run from the high-voltage battery and a vehicle control system, so output can be modulated rather than left on as a fixed penalty.

There are additional strengths that can come from this design, like extra tire load at low speed, which can contribute to even more face-melting acceleration rates, decrease stopping distance, and sharper turn-in before a wing has air to work with. Adjustable fan speed lets the car add grip only when needed, so it can be catered to the force of a turn or acceleration.

These designs were previously used, and banned, in some competitive settings. The Brabham BT46B was banned in F1 competition for using a similar fan design and being labeled as too effective.

Tesla still lists the Roadster as having a sub-two-second 0-60 MPH time and a 250-plus-MPH top speed, and there are expectations for a SpaceX cold-gas thruster package that could not only increase acceleration but potentially cause the vehicle to hover.

It is important to note that a patent is not a production part, and packaging four fans in a rear diffuser, managing noise, and potential debris are all things Tesla must consider. With that being said, the patent being granted shows Tesla is designing the Roadster to go fast, but it is also attempting to use unique strategies to combat any issues it might have at those speeds.

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Investor's Corner

Tesla showrooms picked clean ahead of Q3 end as demand looks strong

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Credit: @thaichiminh1907/X

Tesla (NASDAQ: TSLA) showrooms have been picked clean ahead of the end of the third quarter of the year, as demand looks to be strong and delivery estimates for new vehicles are pushed into late 2026 and early 2027.

Tesla appears to have sold out of many of its Model 3 and Model Y trim levels in the United States, as only the Model Y RWD and Model Y All-Wheel-Drive are available for delivery before the end of the year.

Additionally, many showrooms are either completely empty or void of all but just one demo unit within the buildings themselves in an effort to bolster what could be one of Tesla’s best quarters in vehicle deliveries in recent memory.

Additionally, when I spoke to the guys at Tesla Mechanicsburg two weeks ago, when I returned the Model Y L, their third hauler of the week had just arrived, and every vehicle on it, along with every vehicle in their delivery lot, was accounted for and had a name attached to it for delivery.

Tesla saw a 25 percent increase in deliveries in Q2 compared to the same quarter the year before. The vast majority of the 480,126 units it delivered, 467,762 vehicles to be exact, were the Model 3 and Model Y.

In Q3 2025, Tesla delivered 497,099 vehicles, once again a figure that was dominated by the company’s two mass-market vehicles. Analysts have unusually wide predictions for this quarter, likely because so many firms missed the Q2 delivery figure by such a substantial margin; Wall Street predicted 408,000 cars, while Tesla delivered 480,000.

Goldman Sachs has Tesla slotted for 435,000 deliveries in Q3, while JPMorgan said it anticipates 482,000. The median guess is about 449,000 deliveries for Q3.

Interested in ordering a Tesla? Use my referral code for three free months of Full Self-Driving (Supervised) here.

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