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Tesla Model S, X with “Hardware 3” for Full Self-Driving now in production, inventory codes indicate

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Tesla has begun producing Model X and Model S vehicles with the latest Autopilot hardware to support Full Self-Driving capabilities. Dubbed “HW3”, the new hardware is Tesla’s next iteration of its semi-autonomous driving-assist feature that includes Navigate on Autopilot, Advanced Summon, Auto Lane Change, Autopark, and the ability to respond to traffic lights.

Looking at the source code behind Tesla’s New Inventory site, we’re able to see that recently produced Model S and Model X with Autopilot have been given an “APH4” options code, signifying that these vehicles are equipped with the latest Full Self-Driving hardware. Tesla uses the option code sequence “APHx” to denote the type of Autopilot hardware installed in its vehicles. APH2 indicates HW2 and APH3 = HW2.5 (Autopilot 2.5). Thus, APH4 is HW3.

Here’s a side-by-side comparison of two 2019 Model S with and without the new Hardware 3 for Autopilot.

Source: Tesla New Inventory listing

The tip comes to us from Tesla Info and Inventory, a web site which compiles inventory data for Tesla vehicles around the world, noted that internal vehicle “option codes” indicated a change from Hardware 2.5 to Hardware 3. The site pulls source data directly from Tesla’s car listing pages and analyzes the “config” data embedded in the HTML to determine this information.

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This discovery aligns with the schedule for the HW3 installs previously set forth by Tesla CEO Elon Musk. Last October, Musk estimated a 6-month wait before the the new chips would be installed in all new production cars, meaning an April showing.

Musk has touted HW3 as the “world’s most advanced computer designed specifically” for the purpose of self-driving functionality, with Tesla holding a notable lead in the field overall. “If you add everyone else up combined, they’re probably 5% — I’m being generous — of the miles that Tesla has. And this difference is increasing,” Musk said in Tesla’s 2018 Q4 earnings call.

For vehicles without HW3 installed at the time of manufacture, Musk has stressed the simplicity of the upgrade process in Tesla’s 2018 Q2 earnings call. “We take out one computer and plug in the next. That’s it. All the connectors are compatible and you get an order of magnitude, more processing and you can run all the cameras at primary full resolution with the complex neural net.”

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The simple upgrade to HW3 does require Tesla cars to have HW2 as the equipment needed for its functionality was included in those vehicles. The software uses an array of 8 cameras, 12 ultrasonic sensors, and a forward-facing radar paired with Tesla’s vision and neural net system.

2019 Tesla Model X with Hardware 3

The first features of the Full Self-Driving suite were included in the Version 9 software released in October. “Navigate on Autopilot”, an active guidance feature with Autosteer for highway driving (with driver supervision) came soon after with the release of HW2.5. Improvement in performance from software Version 8.1. to 9.0 was increased by about 400% in useful operations per second; however, the difference between V9.0 and HW3 will make a difference of 500-2000%, according to Musk. Tesla has been releasing iterative over-the-air updates over the last year in preparation for the coming HW3 and complete FSD capabilities.

The current iteration of Tesla’s FSD capabilities includes core highway navigation, autopark, and Summon for car retrieval in parking lots. Recognition of traffic signs and signals as well as city street driving are expected to be coming later this year.

Now that HW3 is on its way to current and future Tesla customers, Full Self-Driving certainly feels right around the corner. However, the biggest obstacle to full implementation still sits on the regulation side, a time-consuming yet necessary part of the consumer vehicle industry, especially when a company is handing over responsibility to a computer. Tesla’s Autopilot page still references full self-driving capabilities as something “in the future” that may happen after regulatory approval which “may take longer in some jurisdictions.”

Tesla’s dominance in the all-electric market will most likely work in its favor to overcome the legal hurdles in the way of autonomous driving. As sales continue to rise with the growing number of customers now able to meet more affordable price points, Tesla will keep accumulating useful data to hone its FSD software and make the case for its much-safer-than-humans capabilities. Other companies may have long been battling the same regulatory demons Tesla is now up against, but the electric car was also “killed off” prior to their very influential arrival on the market. In “Musk World”, there is improbable, but not often impossible.

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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.

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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.

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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.

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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.

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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.

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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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