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Tesla says Autopilot was engaged during Model X fatal crash
Tesla recently released an update confirming that Autopilot was activated on the ill-fated Model X when the SUV crashed into a concrete barrier last Friday near Mountain View, CA.
According to the company’s update, the Model X’s Autopilot was engaged with the car’s adaptive cruise control set to minimum in the moments leading up to the crash. Tesla also noted that the Model X’s driver received several visual and one audible hands-on warning earlier on in the drive. The driver’s hands were not detected on the steering wheel for 6 seconds before the accident occurred as well.
Ultimately, Tesla stated that the driver of the ill-fated Model X had about five seconds and 150 meters of unobstructed view of the concrete divider before the accident took place. Logs from the electric SUV, however, revealed that no action from the driver was taken.
Tesla also highlighted that the absence of a crash attenuator — a highway safety device designed to absorb the impact of a collision — was a key reason why the fatal Model X crash was so severe. Tesla noted that it has “never seen this level of damage to a Model X in any other crash.”
As we noted in a previous report, the crash attenuator, better known as a crash cushion, was destroyed in a vehicular accident 11 days before the fatal Model X crash. This is in line with an image that Tesla provided on its first blog post about the incident, when the company showed a picture of the damaged crash cushion a day before the Model X’s collision.
Local news agency ABC7 News was able to get in touch with the driver of the vehicle that collided with the crash cushion 11 days before the Tesla accident. According to the news agency, the previous crash involved James Barboza, who was driving a 2010 Toyota Prius at 70 mph. Barboza walked away from the crash with lacerations on his face and complaints of pain all over his body. The Toyota Prius driver was eventually arrested for driving under the influence.
In a statement to ABC7, Steven Lawrence — a lawyer who specializes in highway safety — stated that the crash cushion, which could have saved the Model X driver’s life, should have been repaired long before the accident. According to Lawrence, 11 days is far too long to fix a crash cushion, especially in areas where the Model X accident took place.
“Some states have as short as a 3-day repair time for high traffic locations. And if you look at the material in California, this thing should have been repaired within a week. Again, there are a lot of questions about what happened and what went wrong, but it should have been repaired in under 11 days.” Lawrence said.
- The NTSB’s investigation into a fatal Tesla Model X crash continues. [Credit: Dean C. Smith/Twitter]
- The NTSB’s investigation into a fatal Tesla Model X crash continues. [Credit: Dean C. Smith/Twitter]
- The NTSB’s investigation into a fatal Tesla Model X crash continues. [Credit: Dean C. Smith/Twitter]
- The aftermath of a fatal Tesla Model X accident. (Credit: Mercury News/Twitter)
- The aftermath of a fatal Tesla Model X accident. [Credit: Dean C. Smith/Twitter]
- The aftermath of a fatal Tesla Model X accident. (Credit: ABC News Radio/Twitter)
CalTrans issued a statement to the local news agency on Thursday, addressing the delay in its repair of the road safety device. While CalTrans admitted that the crash cushion should have been repaired within 7 days after the 2010 Prius collided with the crash attenuator, the agency noted that storms in the area delayed the repair.
“Once our Maintenance team has been notified, the Department’s goal is to repair or replace damaged guardrail or crash attenuators within 7 days or 5 business days, depending on weather. These are guidelines that our Maintenance staff follow.
“However, as in this case, storms can delay the fix. In this incident, as soon as maintenance was aware of the damaged attenuator, efforts were made to place cones or safety barricades at the site, and the replacement work was scheduled.”
As noted in a previous report, the Tesla Model X has a 5-star safety rating from the National Highway Traffic Safety Administration (NHTSA), due to its safety features such as its 12-airbag system and its huge crumple zone. Roughly 85,000 successful Autopilot trips have been done by Tesla owners in the same stretch of road as the ill-fated Model X since the driver-assist feature was introduced in 2015, with around 200 trips being conducted every day.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
News
Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 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 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!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
News
Tesla is not sparing any expense in ensuring the Cybercab is safe
Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.
The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility.
Intensive crash tests
As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays.
Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads.
Prioritizing safety
With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.
Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.





