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Tesla Model 3 gets Full Self-Driving HW3 upgrade: Full details with lessons learned

(Credit: Tesla Joy/Twitter)

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True to Elon Musk’s expectations on Twitter last month, it appears that Tesla is now looking to ramp Hardware 3 retrofits for owners who purchased the Full Self-Driving suite and whose cars are equipped with HW2 or HW2.5. A recent account involving a Tesla owner-enthusiast’s experience with her Model 3’s HW3 upgrade shows that there are still some areas in the retrofit process that can be improved. 

Tesla Model 3 owner-enthusiast TeslaJoy was looking to do a video on the company’s recent voice command update when she noticed that the feature on her vehicle was not working properly. This prompted her to make an appointment with Tesla to get her car checked in and fixed. During the troubleshooting process, she inquired if a possible HW3 retrofit could be done to her vehicle as well. Fortunately, a HW3 unit was available for her Model 3, and so, a rather eventful upgrade process began. 

Tesla Service Centers currently receive batches of HW3 units from the electric car maker, and each unit is assigned to a specific VIN. This is the reason why for now, at least, owners are not advised to call Tesla to schedule a HW3 retrofit. Fortunately for Joy, the Tesla Service Center opted to perform the HW3 upgrade at the same time as her appointment, since she would need to bring her Model 3 back for a retrofit anyway.

(Credit: TeslaJoy/Twitter)

Since the retrofit was estimated to take around 5 hours, Tesla asked the Model 3 owner to leave her car for the day and claim it the next business day. That was December 31, which meant that the vehicle should be ready the day after New Year’s. As it would turn out, the Service Center would end up encountering difficulties installing the necessary firmware on Joy’s Model 3. This resulted in delays, which culminated in the vehicle’s HW3 retrofit being completed on January 5, 2020, over five days after the Model 3 owner turned in her car. 

Hardware 3 retrofits are available for owners who have purchased Tesla’s Full Self-Driving suite, and whose cars are still equipped with the company’s HW2 and HW2.5 units. With Hardware 3 installed, owners will be able to utilize the full suite of FSD capabilities that the company is rolling out today. One of these is the FSD preview that Tesla rolled out for the holidays, as well as features like traffic cone recognition. 

True to Elon Musk’s words on Twitter, the HW3 retrofit is free for owners who have purchased the company’s FSD suite. Joy, for her part, was able to get FSD last March at a discounted price of $2,000 on top of her Enhanced Autopilot. FSD currently costs $7,000 when it is included in a new vehicle’s order. 

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Based on Joy’s experience, it appears that owners should expect to wait some time for their vehicles are set to be retrofitted. In the Model 3 owner’s case, her car’s upgrade ended up taking days since the first HW3 kit that was installed did not function properly. This resulted in the vehicle essentially getting retrofitted twice, causing delays. Tesla did give Joy a $500 Uber voucher due to the absence of loaner vehicles, but the whole experience showed notable points for improvement nonetheless. 

In a way, TeslaJoy‘s experience with her Model 3’s HW3 retrofit stands in stark contrast with the experiences of Model S owner Sofiaan Fraval, whose car was upgraded by a Service Center during a voluntary HEPA replacement. In Fraval’s case, his Model S was fully retrofitted within a matter of hours, and it was calibrated in pretty much the same day. A Tesla Model S owner who runs the Electric Dreams YouTube channel also received his vehicle’s HW3 retrofit without any issues, and it was performed by a mobile technician, not a Service Center. 

In the Electric Dreams host’s case, the entire HW3 retrofit was conducted from the convenience of his home, with a mobile service tech coming over in the morning, taking an hour and a half for the installation to be completed, and an additional two hours for the necessary firmware to be loaded onto the vehicle. This is in line with Elon Musk’s previous statement on Twitter, where he stated that HW3 retrofits should be possible through Tesla’s mobile service fleet

Overall, there seems to be a variance with regards to the experience of owners when getting their vehicles retrofitted with Tesla’s FSD computer. Some owners seem to be experiencing a seamless, painless process, while some, like Joy, end up having to test their patience. Hopefully, as Tesla ramps its HW3 retrofits this quarter, the company could work in optimizing its upgrade process, so there are more experiences like the Electric Dreams host’s, and less like TeslaJoy‘s. 

Watch TeslaJoy‘s HW3 experience in the video below. 

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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SpaceX wants to catch Starship for launch 14, Elon Musk says

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Credit: SpaceX

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.

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.

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Tesla to open source Model S and Model X designs and software

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Credit: Tesla

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.”

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

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Tesla flexes incredible Robotaxi metric that skeptics will hate

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Credit: Tesla

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.

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.

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