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Tesla’s applications for Dojo in FSD, Optimus and potentially more

Credit: Tesla

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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.

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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.

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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”

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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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Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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SpaceX successfully launches 100th Starlink mission of 2025

With 100 Starlink missions completed for 2025, space enthusiasts have noted that SpaceX has successfully launched 2,554 Starlink satellites so far this year.

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(Credit: Starlink)

SpaceX achieved its 100th Starlink mission of the year on Friday, October 31, marking another milestone for 2025. 

A Falcon 9 rocket carrying 28 Starlink broadband satellites successfully lifted off from Vandenberg Space Force Base in California at 4:41 p.m. ET, carrying another 28 Starlink satellites to Low Earth Orbit (LEO).

Falcon 9 booster’s 29th flight

Roughly 8.5 minutes after liftoff, the Falcon 9’s first stage touched down on the drone ship Of Course I Still Love You in the Pacific Ocean. This marked the booster’s 29th flight, which is approaching SpaceX’s reuse record of 31 missions.

This latest mission adds to SpaceX’s impressive 138 Falcon 9 launches in 2025, 99 of which were dedicated to Starlink, according to Space.com. The company’s focus on reusing boosters has enabled this breakneck pace, with multiple launches each week supporting both Starlink’s expansion and external customers.

Starlink’s network continues massive global expansion

Starlink remains the largest active satellite constellation in history, with more than 10,000 satellites launched, nearly 8,800 of which are currently active. SpaceX recently achieved Starlink’s 10,000-satellite milestone. With 100 Starlink missions completed for 2025, space enthusiasts have noted that SpaceX has successfully launched 2,554 Starlink satellites so far this year.

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Starlink, which provides high-speed, low-latency internet connectivity even to the world’s most remote areas, has been proven to be life-changing technology for people across the globe. The service is currently operational in about 150 countries, and it currently has over 5 million subscribers worldwide. From this number, 2.7 million joined over the past year.

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Tesla shares updated timeframe for Cybertruck FSD V14 release

The Cybertruck was expected to receive FSD V14 before the end of the month, but Tesla was not able to meet the target.

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Credit: Tesla

Tesla’s Full Self-Driving (FSD) V14 update for the Cybertruck could arrive this weekend, as per recent comments from Director of Autopilot Software and VP of AI Ashok Elluswamy. 

The Cybertruck was expected to receive FSD V14 before the end of the month, but Tesla was not able to meet the target.

Cybertruck FSD V14

Considering the extended wait for FSD V14, it was no surprise that several Cybertruck owners were asking for updates about the system’s rollout to the all-electric pickup truck on Friday. These included the official Cybertruck X account, which responded to Elluswamy’s end of month estimate with “I only see trick. Where is my treat.” 

This prompted a response from the AI executive, who replied with, “Sorry, pushing for early access Cyber release over the weekend.” This means that if all goes well, Cybertruck owners would be able to experience FSD V14 very soon. Some, however, are wondering if Tesla would go straight to V14.2 for the Cybertruck’s FSD V14 update, or if the vehicle will receive V14.1 first. 

Tesla pushes to unify FSD experience across its lineup

The upcoming Cybertruck rollout represents the next step in Tesla’s efforts to roll out FSD capabilities across all of its vehicles. FSD V14 is a notable step forward for the company’s AI-driven self driving system, with features like Mad Max mode getting positive reviews from longtime Full Self Driving testers.

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For the Cybertruck, the FSD V14 update would mark one of its first major over-the-air upgrades for the vehicle. Likely due to its size, the Cybertruck tends to receive FSD updates later than the S3XY lineup, which is quite surprising considering that the all-electric pickup truck is a premium-priced vehicle that is home to some of Tesla’s most advanced technologies.

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“Tesla Ride” program lets riders experience FSD and Grok AI in real-world demos

The initiative aims to bring supervised Full Self-Driving demos and Grok AI-guided experiences to consumers in real world trips.

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Credit: Tesla AI/X

Tesla has launched a new service designed to make its Full Self-Driving (FSD) technology familiar to all commuters. 

Dubbed the “Tesla Ride” program, the initiative aims to bring supervised Full Self-Driving demos and Grok AI-guided experiences to consumers in real world trips. 

How Tesla Ride Works

As per the official Tesla Ride website, the session will allow participants to sit in the driver’s seat while a Tesla Advisor rides shotgun as co-pilot. The Tesla Advisor then guides riders through the company’s latest supervised FSD features, comfort settings, and in-car entertainment. Participants would also be able to interact with Grok AI in the vehicles. Grok will be capable of answering questions during the ride, and it will even tell stories along the way.

Tesla noted, however, that Tesla Ride sessions are capped at 45 minutes each, and it requires participants to have a valid driver’s license and insurance. Interested participants are also advised to call beforehand so they can schedule their Tesla Rides.

Marketing push and reach

The Tesla Ride program runs across several markets from October into November, and in some locations into the end of December 2025. Participating states are numerous, from Michigan to Virginia to Illiois, Nevada, and California, among others. A look at the official webpage for Tesla Ride shows that the company is still taking a very cautious approach with the program, with disclaimers clearly stating that FSD Supervised does not make Teslas autonomous just yet.

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Tesla’s focus on safety with FSD was highlighted recently by Senior Vice President for Automotive Tom Zhu. “Elon said it in 2021: “For self-driving, even if the road is painted completely wrong and a UFO lands in the middle of the road, the car still cannot crash and still needs to do the right thing. 

“The prime directive for the autopilot system is: Don’t crash. That really overrides everything. No matter what the lines say or how the road is done, the thing that needs to happen is minimizing the probability of impact while getting you to your destination conveniently and comfortably,” the executive stated.

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