News
Tesla Model S, X with “Hardware 3” for Full Self-Driving now in production, inventory codes indicate
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.
- 2019 Tesla Model S with Hardware 2.5 (2019 Tesla Model S with “Hardware 3” (APH3)
- 2019 Tesla Model S with “Hardware 3” (APH4)
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.
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.
~6 months before it is in all new production cars. No change to sensors. This is simple replacement of the Autopilot computer. Will be done free of charge for those who ordered full self-driving.
— Elon Musk (@elonmusk) October 16, 2018
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.”
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.

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.
News
Tesla and driver sued by family of woman killed in Texas crash: what we know
Tesla is being sued by the family of the woman who was killed in a Texas crash involving a Model 3. The driver, who is also being sued, claimed the vehicle was operating on Autopilot mode, but Tesla executives have come out challenging that claim, stating that the driver of the vehicle overrode the system.
The lawsuit was filed by 76-year-old Martha Avila’s daughter and her husband, who allege a “design defect” involving a Tesla and a failure to warn. The suit alleges negligence against Tesla and the driver, Michael Butler.
Butler “stated he was operating with an automated driving assistance system engaged at the time of the crash,” the Harris County Sheriff’s Office said in a statement. He showed no signs of intoxication and was cooperative, the Sheriff’s Office said, according to NBC News.
Just after reports of the crash and numerous headlines that immediately blamed Tesla’s Autopilot suite, both Tesla CEO Elon Musk and Head of AI Ashok Elluswamy challenged that. Musk said the crash made “no sense” given that Tesla Autopilot and Full Self-Driving do not travel at the speeds the door cameras captured the car traveling at, which Tesla says was 73 MPH.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
Elluswamy also revealed that Tesla data showed Butler overrode the system by pressing the accelerator to 100%, and that the pedal was compressed fully even after the car had crashed. Tesla has not released this data to the public, likely because it is communicating with agencies like the NHTSA on an investigation.
The suit uses a Washington Post analysis of government data that “identified at least 17 fatal incidents linked to Tesla Autopilot.”
This is far from the first time an accident has been blamed on Autopilot. A fatal crash in Texas was blamed on Autopilot several years ago, but when Tesla released data to the NTSB, which was investigating the crash, Autopilot was not available where the crash occurred, and Autosteer was never enabled, meaning the car was manually controlled at the time of the accident.
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws… pic.twitter.com/XGD97NHVZ2
— TESLARATI (@Teslarati) March 18, 2026
More information on the accident will be released as Tesla works with agencies to find the cause of the crash. From personal experience, it is hard to imagine Tesla Autopilot or FSD operating in this manner. It drives sometimes too cautiously in residential areas in parking lots, at least in my experience. Speeding happens, but at this rate in this type of area, it is hard to believe.
We look forward to more details being released with time.
Cybertruck
Tesla Cybertruck is officially the safest pickup, IIHS says
The Insurance Institute for Highway Safety (IIHS) has awarded the 2025-2026 Tesla Cybertruck crew cab pickup its highest honor: Top Safety Pick+. This marks the Cybertruck as the only full-size pickup to achieve this distinction in recent evaluations.
The award applies specifically to vehicles built after April 2025, following structural upgrades including front underbody reinforcements and footwell modifications.
These changes enabled strong performance in updated crash tests. The Cybertruck earned “Good” ratings in the small overlap front (driver and passenger sides), updated moderate overlap front, and updated side tests—core requirements for the Top Safety Pick+ designation.
It also secured acceptable or good headlights across trims and a “Good” rating for its standard front crash prevention system in pedestrian scenarios, along with acceptable or good performance in vehicle-to-vehicle testing.
The Cybertruck avoided every single pedestrian collision, including:
- Daytime child crossing
- Nightitime adult crossing
- Night parallel adult
In IIHS pedestrian front crash prevention tests, @Cybertruck avoided every single collision – daytime, nighttime & different angles
It was also the only pickup to earn Top Safety Pick+ (highest award) in 2026https://t.co/BNPqT9TbsW pic.twitter.com/M6nwDisBFK
— Tesla (@Tesla) June 24, 2026
In the large pickup category, competitors such as the Toyota Tundra received only a standard Top Safety Pick, while the Ford F-150 and Ram 1500 did not qualify for either award. This positions the Cybertruck as a standout in occupant protection and crash avoidance among its peers.

Credit: IIHS
Ironically, the same vehicle celebrated for superior U.S. safety performance remains banned from public roads in the United Kingdom and much of Europe. Regulators there cite the Cybertruck’s sharp external edges and highly rigid stainless-steel construction as failing pedestrian-protection standards. European and UK rules require rounded surfaces on protruding parts to minimize injury risk in collisions with vulnerable road users.
Critics also point to the truck’s substantial weight and unyielding body structure, which some argue could transfer more force to other vehicles or pedestrians rather than absorbing it.
Tesla’s engineering philosophy underpins the Cybertruck’s strong IIHS results. The vehicle features a distinctive stainless-steel exoskeleton made from ultra-hard 30X cold-rolled stainless steel. This provides exceptional structural rigidity and a robust safety cage that resists deformation in side impacts and rollovers.
Engineers designed integrated load paths to channel crash forces away from the occupant compartment while allowing controlled energy absorption in key zones. Post-April 2025 refinements to the front underbody further optimized performance in overlap crashes.
Complementing the passive structure is Tesla’s advanced active safety suite, including the standard Collision Avoidance Assist system with automatic emergency braking. This contributed directly to the vehicle’s strong front crash prevention scores. The skateboard platform and low center of gravity also enhance stability and handling, reducing the likelihood of certain crashes.
The IIHS recognition highlights how Tesla’s combination of high-strength materials, structural innovation, and software-driven safety systems can deliver top-tier protection in rigorous testing. While global regulatory differences on design and pedestrian interaction continue to limit the Cybertruck’s availability outside North America, its U.S. safety credentials set a new benchmark for full-size pickups.
Elon Musk
SpaceX’s newest Starmind will make earth data centers obsolete
Elon Musk confirmed Starmind as SpaceX’s AI satellite constellation name, targeting one million orbital compute nodes.
Elon Musk confirmed that Starmind will be the official name of SpaceX’s planned AI satellite constellation, following a trademark filing by xAI that surfaced earlier this week. Starmind is what’s being described to the FCC as a constellation of up to one million AI satellites
It’s worth noting that SpaceX’s Starlink communication satellite and Starmind are built on the same orbital infrastructure concept but serve entirely different purposes. Starlink is a connectivity network, with satellites receiving and relaying data between points on Earth, and functioning as a high-speed internet backbone in space. The satellites themselves do not process or think, and move information from one place to another, the same function a fiber cable performs underground.
SpaceX just forced Verizon, AT&T and T-Mobile to team up for the first time in history
Starmind, on the other hand, is something completely different, and tather than moving data, its satellites would compute data through artificial intelligence and directly in orbit using onboard processors powered by large solar arrays. Where a Starlink satellite is essentially a very fast pipe, a Starmind satellite is a server. The practical implication is that Starmind would allow AI models to run inference, process queries, and generate outputs from space, then beam results down to users anywhere on Earth within milliseconds, and without the data ever needing to travel to a terrestrial data center.
Starship will be able to carry 30 to 50 AI1 satellites per launch, delivering the equivalent of dozens of server racks per flight, with no land acquisition, no power grid approval, and no cooling infrastructure required on the ground.
SpaceX is pursuing this new technology as terrestrial data centers are running into hard limits such as lack of physical space, community opposition, and power and water consumption at a scale that is increasingly difficult to permit. Space has unlimited solar power, natural vacuum cooling, and no zoning boards. Musk said in a June 8 video presentation that he expects space to become the lowest-cost location to deploy AI compute within two to three years. Two AI1 prototypes are scheduled to launch in early 2027, with volume production targeted for the end of that year at a new facility called Gigasat.
The real world applications Starmind enables extend well beyond powering Grok. A constellation of orbiting AI processors could run inference workloads for any paying customer, anywhere on Earth, with latency measured in milliseconds rather than the seconds associated with ground-based cloud routing across continents. Starmind, if it scales as described, would make SpaceX the landlord of AI compute the same way Starlink made it the landlord of satellite internet.

