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Tesla crash that killed three in California probed by U.S. safety agency

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A Tesla crash that killed three people in California earlier this month is now being probed by a U.S. government agency.

The National Highway Traffic Safety Administration (NHTSA) said it would open a Special Crash Investigation (SCI), probing to find out more information on what potentially caused a three fatality crash involving a 2022 Tesla Model S.

On May 12, a Model S sedan crashed into construction equipment in Newport Beach, California. Three people occupying the vehicle were killed, while three workers outside of the car were injured, according to police. The crash occurred at around 12:45 AM on Pacific Coast Highway. The Model S struck a curb and then slammed into the equipment, a report from the Orange County Register stated.

The accident was recently added to the NHTSA’s list of currently-opened SCI cases. Its two most recent now involve Tesla vehicles, and a majority of the 42 cases involve Tesla vehicles. Three have been dismissed as not involving Autopilot. Volvo is among the other manufacturers on the list, with a March 2017 and a March 2018 accident involving its XC90. The 2017 accident resulted in minor injuries, while the 2018 incident was fatal to the passenger, reports confirmed. The XC90 was utilizing ADAS during both accidents, according to the NHTSA.

The Lexus RH450H, the Cadillac CT6 (listed twice), and the Navya Arma were also all listed with ADAS case types, but all of these vehicles had no injuries due to the accidents. An accident involving a Hyundai Kona in December 2021 in California is also on the list.

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Both accidents involving the XC90 were a part of the Uber test vehicle fleet, which was driverless, the company told Teslarati.

The NHTSA lists the investigation case type for the Model S crash as “Advanced Driver Assistance Systems ODI.” ODI stands for the NHTSA’s Office of Defects Investigation. The NHTSA may be looking into whether Tesla’s driver-assistance features were active or if the company’s Autopilot system was active during the time of the accident. In the past, government agencies have probed Tesla accidents for potential causation by Autopilot usage, with the investigations concluding Autopilot was active in some of the accidents, but not enabled in others.

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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SpaceX Starship Version 3 booster crumples in early testing

Photos of the incident’s aftermath suggest that Booster 18 will likely be retired.

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Credit: SpaceX/X

SpaceX’s new Starship first-stage booster, Booster 18, suffered major damage early Friday during its first round of testing in Starbase, Texas, just one day after rolling out of the factory. 

Based on videos of the incident, the lower section of the rocket booster appeared to crumple during a pressurization test. Photos of the incident’s aftermath suggest that Booster 18 will likely be retired. 

Booster test failure

SpaceX began structural and propellant-system verification tests on Booster 18 Thursday night at the Massey’s Test Site, only a few miles from Starbase’s production facilities, as noted in an Ars Technica report. At 4:04 a.m. CT on Friday, a livestream from LabPadre Space captured the booster’s lower half experiencing a sudden destructive event around its liquid oxygen tank section. Post-incident images, shared on X by @StarshipGazer, showed notable deformation in the booster’s lower structure.

Neither SpaceX nor Elon Musk had commented as of Friday morning, but the vehicle’s condition suggests it is likely a complete loss. This is quite unfortunate, as Booster 18 is already part of the Starship V3 program, which includes design fixes and upgrades intended to improve reliability. While SpaceX maintains a rather rapid Starship production line in Starbase, Booster 18 was generally expected to validate the improvements implemented in the V3 program.

Tight deadlines

SpaceX needs Starship boosters and upper stages to begin demonstrating rapid reuse, tower catches, and early operational Starlink missions over the next two years. More critically, NASA’s Artemis program depends on an on-orbit refueling test in the second half of 2026, a requirement for the vehicle’s expected crewed lunar landing around 2028.

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While SpaceX is known for diagnosing failures quickly and returning to testing at unmatched speed, losing the newest-generation booster at the very start of its campaign highlights the immense challenge involved in scaling Starship into a reliable, high-cadence launch system. SpaceX, however, is known for getting things done quickly, so it would not be a surprise if the company manages to figure out what happened to Booster 18 in the near future.

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Tesla FSD (Supervised) is about to go on “widespread” release

In a comment last October, Elon Musk stated that FSD V14.2 is “for widespread use.”

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Tesla has begun rolling out Full Self-Driving (Supervised) V14.2, and with this, the wide release of the system could very well begin. 

The update introduces a new high-resolution vision encoder, expanded emergency-vehicle handling, smarter routing, new parking options, and more refined driving behavior, among other improvements.

FSD V14.2 improvements

FSD (Supervised) V14.2’s release notes highlight a fully upgraded neural-network vision encoder capable of reading higher-resolution features, giving the system improved awareness of emergency vehicles, road obstacles, and even human gestures. Tesla also expanded its emergency-vehicle protocols, adding controlled pull-overs and yielding behavior for police cars, fire trucks, and ambulances, among others.

A deeper integration of navigation and routing into the vision network now allows the system to respond to blocked roads or detours in real time. The update also enhances decision-making in several complex scenarios, including unprotected turns, lane changes, vehicle cut-ins, and interactions with school buses. All in all, these improvements should help FSD (Supervised) V14.2 perform in a very smooth and comfortable manner.

Elon Musk’s predicted wide release

The significance of V14.2 grows when paired with Elon Musk’s comments from October. While responding to FSD tester AI DRIVR, who praised V14.1.2 for fixing “95% of indecisive lane changes and braking” and who noted that it was time for FSD to go on wide release, Musk stated that “14.2 for widespread use.”

FSD V14 has so far received a substantial amount of positive reviews from Tesla owners, many of whom have stated that the system now drives better than some human drivers as it is confident, cautious, and considerate at the same time. With V14.2 now rolling out, it remains to be seen if the update also makes it to the company’s wide FSD fleet, which is still populated by a large number of HW3 vehicles. 

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Tesla FSD V14.2 starts rolling out to initial batch of vehicles

It would likely only be a matter of time before FSD V14.2 videos are posted and shared on social media.

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Credit: Grok Imagine

Tesla has begun pushing Full Self-Driving (Supervised) v14.2 to its initial batch of vehicles. The update was initially observed by Tesla owners and veteran FSD users on social media platform X on Friday.

So far, reports of the update have been shared by Model Y owners in California whose vehicles are equipped with the company’s AI4 hardware, though it would not be surprising if more Tesla owners across the country receive the update as well. 

Based on the release notes of the update, key improvements in FSD V14.2 include a revamped neural network for better detection of emergency vehicles, obstacles, and human gestures, as well as options to select arrival spots. 

It would likely only be a matter of time before FSD V14.2 videos are posted and shared on social media.

Following are the release notes of FSD (Supervised) V14.2, as shared on X by longtime FSD tester Whole Mars Catalog.

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Release Notes

2025.38.9.5

Currently Installed

FSD (Supervised) v14.2

Full Self-Driving (Supervised) v14.2 includes:

  • Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
  • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
  • Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances.
  • Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
  • Added additional Speed Profile to further customize driving style preference.
  • Improved handling for static and dynamic gates.
  • Improved offsetting for road debris (e.g. tires, tree branches, boxes).
  • Improve handling of several scenarios including: unprotected turns, lane changes, vehicle cut-ins, and school busses.
  • Improved FSD’s ability to manage system faults and improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
  • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
  • Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
  • Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
  • Added additional Speed Profile to further customize driving style preference.
  • Improved handling for static and dynamic gates.
  • Improved offsetting for road debris (e.g. tires, tree branches, boxes).
  • Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
  • Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
  • Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!

Upcoming Improvements:

  • Overall smoothness and sentience
  • Parking spot selection and parking quality
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