Much excitement surrounding Tesla’s Dojo supercomputing cluster has been swirling in recent months since the system went online, and the automaker already expects it to be one of the world’s most powerful supercomputers by early next year. But one reporter recently noted that Dojo could someday have additional uses beyond processing vast amounts of data for Tesla’s Full Self-Driving (FSD) system and humanoid robot.
Dojo can process millions of terabytes of video data per second from the company’s vehicles, training its neural network at an incredible rate. The company has said that the video foundation models input to Dojo would effectively serve as the brain of its vehicles and its Optimus robot.
In a recent video segment about how Dojo is expected to revolutionize self-driving, however, Yahoo Finance reporter Pras Subramanian also talked about the supercomputing cluster’s potential applications beyond FSD and Optimus.
The short discussion, hosted by Seana Smith, details how the Dojo system will use Tesla’s AI model to train FSD. However, Subramanian also says the supercomputer could someday be used for vessels other than cars, including motorcycles, bicycles and boats. The conversation also touched on how Dojo works, the complexity of training AI to handle roads and Ford and Volkswagen’s decision to end Argo AI operations, among other topics.
You can watch a short clip from the video segment below or see the full conversation here.
As for cars, Musk has previously talked about the potential of using Dojo to perform traffic control simply with the system’s inputs for things like accidents, potholes, road closures or other data that would be useful for a Tesla to access in real-time. Musk said in June that Dojo had been “online and running useful tasks for a few months,” helping out with production workloads and spurring on the current round of excitement surrounding the computing cluster.
In June, Tesla posted about Dojo on X, detailing how its neural networks were already being accessed in its cars and adding that the company is “building the foundation models for autonomous robots.” Below is an excerpt from the thread:
“Our multi-modal neural networks are already in customer vehicles—these networks take in arbitrary modalities such as camera videos, maps, navigation, IMU (Inertial Measurement Unit), GPS etc.
Tasks such as Occupancy prediction are already quite general in what they represent—in some ways, they are ontology-free & simply predict the probability that some 3D position is occupied.
Such occupancy can be used for collision avoidance by any robot.
All of this is enabled by fleet scale auto-labelling. By using video data from multiple trips in the same location, we can reconstruct the entire scene
In addition, we’re building off state-of-the-art generative modeling techniques—enabling us to predict possible outcomes given past observations, in a jointly consistent manner across multiple camera views”
These imagined futures can be action-conditioned to produce different outcomes.
For example, the videos below are generated entirely by the neural network by simply using different prompts pic.twitter.com/ZuJEYcLuZK
— Tesla AI (@Tesla_AI) June 21, 2023
In 2021, Musk said that Dojo could likely someday reduce traffic fatalities by 90 percent and eventually it may be able to reduce them by more than 99 percent.
Last month, a report showed that Tesla had doubled its order of D1 Dojo chips for next year from Taiwan Semiconductor Manufacturing Company (TSMC), now totaling 10,000 units. According to the report, the company also plans to increase its order in 2025. Morgan Stanley also said last month that Dojo could add $500 billion to Tesla’s enterprise value.
Tesla Dojo trade secrets lawsuit officially settles out of court
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
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Tesla Giga Berlin plant manager faces defamation probe after IG Metall union complaint
Prosecutors in Frankfurt (Oder) confirmed they have opened a defamation probe into Gigafactory Berlin plant manager André Thierig.
Tesla’s Giga Berlin plant manager is now under investigation after a complaint from trade union IG Metall, escalating tensions ahead of next month’s works council elections.
Prosecutors in Frankfurt (Oder) confirmed they have opened a defamation probe into Gigafactory Berlin plant manager André Thierig, as per a report from rbb24.
A spokesperson for the Frankfurt (Oder) public prosecutor’s office confirmed to the German Press Agency that an investigation for defamation has been initiated following a criminal complaint filed by IG Metall against Thierig.
The dispute stems from Tesla’s allegation that an IG Metall representative secretly recorded a works council meeting using a laptop. In a post on X, Thierig described the incident as “truly beyond words,” stating that police were called and a criminal complaint was filed.
“What has happened today at Giga Berlin is truly beyond words! An external union representative from IG Metall attended a works council meeting. For unknown reasons, he recorded the internal meeting and was caught in action! We obviously called police and filed a criminal complaint!” Thierig wrote in a post on X.
Police later confirmed that officers did seize a computer belonging to an IG Metall member at Giga Berlin. Prosecutors are separately investigating the union representative on suspicion of breach of confidentiality and violation of Germany’s Works Constitution Act.
IG Metall has denied Tesla’s allegations. The union claimed that its member offered to unlock the laptop for review in order to accelerate the investigation and counter what it called false accusations. The union has also sought a labor court injunction to “prohibit Thierig from further disseminating false claims.”
The clash comes as Tesla employees prepare to vote in works council elections scheduled for March 2–4, 2026. Approximately 11,000 Giga Berlin workers are eligible to participate in the elections.
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Tesla wins FCC approval for wireless Cybercab charging system
The decision grants Tesla a waiver that allows the Cybercab’s wireless charging system to be installed on fixed outdoor equipment.
Tesla has received approval from the Federal Communications Commission (FCC) to use Ultra-Wideband (UWB) radio technology in its wireless EV charging system.
The decision grants Tesla a waiver that allows the Cybercab’s wireless charging system to be installed on fixed outdoor equipment. This effectively clears a regulatory hurdle for the company’s planned wireless charging pad for the autonomous two-seater.
Tesla’s wireless charging system is described as follows in the document: “The Tesla positioning system is an impulse UWB radio system that enables peer-to-peer communications between a UWB transceiver installed on an electric vehicle (EV) and a second UWB transceiver installed on a ground-level pad, which could be located outdoors, to achieve optimal positioning for the EV to charge wirelessly.”
The company explained that Bluetooth is first used to locate the charging pad. “Prior to the UWB operation, the vehicular system uses Bluetooth technology for the vehicle to discover the location of the ground pad and engage in data exchange activities (which is not subject to the waiver).”
Once the vehicle approaches the pad, the UWB system briefly activates. “When the vehicle approaches the ground pad, the UWB transceivers will operate to track the position of the vehicle to determine when the optimal position has been achieved over the pad before enabling wireless power charging.”
Tesla also emphasized that “the UWB signals occur only briefly when the vehicle approaches the ground pad; and mostly at ground level between the vehicle and the pad,” and that the signals are “significantly attenuated by the body of the vehicle positioned over the pad.”
As noted by Tesla watcher Sawyer Merritt, the FCC ultimately granted Tesla’s proposal since the Cybercab’s wireless charging system’s signal is very low power, it only turns on briefly while parking, it works only at very short range, and it won’t interfere with other systems.
While the approval clears the way for Tesla’s wireless charging plans, the Cybercab does not appear to depend solely on the new system.
Cybercab prototypes have frequently been spotted charging at standard Tesla Superchargers across the United States. This suggests the vehicle can easily operate within Tesla’s existing charging network even as the wireless system is developed and deployed. With this in mind, it would not be surprising if the first batches of the Cybercab that are deployed and delivered to consumers end up being charged by regular Superchargers.
Elon Musk
Tesla posts updated FSD safety stats as owners surpass 8 billion miles
Tesla shared the milestone as adoption of the system accelerates across several markets.
Tesla has posted updated safety stats for Full Self-Driving Supervised. The results were shared by the electric vehicle maker as FSD Supervised users passed more than 8 billion cumulative miles.
Tesla shared the milestone in a post on its official X account.
“Tesla owners have now driven >8 billion miles on FSD Supervised,” the company wrote in its post on X. Tesla also included a graphic showing FSD Supervised’s miles driven before a collision, which far exceeds that of the United States average.
The growth curve of FSD Supervised’s cumulative miles over the past five years has been notable. As noted in data shared by Tesla watcher Sawyer Merritt, annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles.
At the current pace, the fleet is trending towards hitting about 10 billion FSD Supervised miles this year. The increase has been driven by Tesla’s growing vehicle fleet, periodic free trials, and expanding Robotaxi operations, among others.
Tesla also recently updated the safety data for FSD Supervised on its website, covering North America across all road types over the latest 12-month period.
As per Tesla’s figures, vehicles operating with FSD Supervised engaged recorded one major collision every 5,300,676 miles. In comparison, Teslas driven manually with Active Safety systems recorded one major collision every 2,175,763 miles, while Teslas driven manually without Active Safety recorded one major collision every 855,132 miles. The U.S. average during the same period was one major collision every 660,164 miles.
During the measured period, Tesla reported 830 total major collisions with FSD (Supervised) engaged, compared to 16,131 collisions for Teslas driven manually with Active Safety and 250 collisions for Teslas driven manually without Active Safety. Total miles logged exceeded 4.39 billion miles for FSD (Supervised) during the same timeframe.
Tesla Giga Berlin plant manager faces defamation probe after IG Metall union complaint
Tesla wins FCC approval for wireless Cybercab charging system
