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Tesla rolls out latest FSD version, shares upcoming HW3 deployment plans
Tesla has begun rolling out its latest version of Full Self-Driving (FSD) Supervised this week to those with its most recent computer hardware, along with providing an update on when those with older FSD computers can expect new updates.
While Tesla began rolling out its FSD Supervised v13 a couple of weeks ago, the company has begun a wider rollout of its latest version, FSD Supervised v13.2.1, to those with Hardware 4 (HW4), or AI4, computers, as confirmed by Autopilot program lead Ashok Elluswamy on X on Monday.
Those with Hardware 3 (HW3)—often called AI3 after Elon Musk dubbed upcoming the FSD computers with AI rather than HW during this year’s Shareholder Meeting—are also set to get a new version before the end of the year, according to Elluswamy.
“FSD v13.2.1 is now rolling out wide to AI4 customers! That plus the holiday vehicle software update is coming within a week,” he wrote. “Team’s working on a much updated v12.6 for AI3 customers by end of this year.”
READ MORE ON TESLA’S FSD SUPERVISED: Tesla is working on new parking features for Full Self-Driving
The news comes as many Tesla owners with older vehicles have criticized the company for rolling out new, well-performing FSD Supervised versions only to those with newer vehicles and internal computers, with Elluswamy’s response highlighting that the company is still debuting new versions for those with the older hardware.
Although Musk also said during the meeting that there was a slight chance that Unsupervised FSD may never be able to run on AI3 vehicles, he emphasized that, if that were the case, Tesla would upgrade AI3 vehicles whose owners purchased FSD. The Tesla CEO has also said that AI5 is expected to be used in Optimus and all newly produced cars by the end of 2025.
Initial reviews of Tesla’s FSD Supervised v13
Tesla’s FSD Supervised v13.2.1 follows the debut of v13 and v13.2, which have been garnering positive reviews since the initial version was first launched just weeks ago. In addition to going from park-to-park in the v13 suite, the software has been spotted navigating some tricky situations that past versions didn’t seem to be capable of handling.
Early reviews of FSD Supervised v13.2.1 have been similar, with some sharing video of their cars avoiding road obstacles, cautiously navigating around other vehicles making traffic violations, and more while using the software. You can see one particular review below, courtesy of X user Greggertruck, who was using the software while driving his Cybertruck.
Cybertruck just totally avoided some junk in the turn lane, waiting to switch until it passed. ? Obstacle avoidance seems improved in FSD V13.2.1 you’re wild @Tesla_AI pic.twitter.com/zajda8jRvK
— Greggertruck (@greggertruck) December 16, 2024
Tesla has been rolling out Cybertruck FSD updates at slightly different times than for most other AI4 vehicles, and the recent release of v13.2.1 also came with slightly different release notes than those seen in Model Y and other vehicles.
FSD 13.2.1 release notes Y vs Cybertruck
Same FSD release, different release notes pic.twitter.com/mmTmBIEP28— Dirty Tesla (@DirtyTesLa) December 15, 2024
For one, the release notes don’t include the integrated unpark, reverse, and park capabilities that make the version go from “park-to-park.” Additionally, it doesn’t feature the highly anticipated Actually Smart Summon, which is expected to come with a future update.
You can watch more footage of early FSD Supervised v13.2.1 experiences below from Teslatino, who uses the software to drive to the Post Office in his Cybertruck.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
Tesla highlights FSD safety in edge case test videos


Elon Musk
SpaceX wants to catch Starship for launch 14, Elon Musk says
Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
News
Tesla to open source Model S and Model X designs and software
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
News
Tesla flexes incredible Robotaxi metric that skeptics will hate
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.