News
Level 2 systems like Tesla Autopilot can improve drivers’ attentiveness: IIHS study
The Insurance Institute for Highway Safety (IIHS) recently published the results of a rather unique real-world driver attentiveness test. Using a 2019 Mercedes-Benz C300 equipped with a Level 2 Advanced Driver Assistance System (ADAS) and a giant pink teddy bear dressed in a yellow high-visibility jacket, the agency was able to roughly determine if systems like GM’s Super Cruise and Tesla’s Autopilot make drivers less attentive on the road.
The participants of the study included both drivers who were familiar with Level 2 driver-assist systems and drivers who had little to no experience with ADAS. The IIHS tasked those familiar with Level 2 systems to drive with the Mercedes-Benz C300’s ADAS activated. A group of drivers unfamiliar with ADAS was also tasked to drive with the system engaged. Lastly, a group of drivers who were unfamiliar with the vehicle’s Level 2 system was tasked to drive without the advanced driver-assist feature activated.
To test the drivers’ situational awareness, the IIHS had an SUV with a giant pink teddy bear strapped to its back pass the Mercedes-Benz C300 three times as the participants drove over a stretch of Interstate 70 in Maryland for about an hour. Each time, the SUV with the massive stuffed bear stayed in front of the drivers for about 30 seconds. Researchers then measured the participants’ reactions after their driving session, while asking if they saw anything odd during their hour-long drive.
Interestingly enough, nearly all of the drivers who were experienced with Level 2 systems noticed the giant pink bear. The same group also identified the number of times the bear overtook the C300 during the hour-long test. Drivers who were inexperienced with Level 2 systems didn’t perform as well, with a good number of inexperienced drivers who used the C300’s ADAS failing to remember the giant pink teddy bear at all.
“Our data suggest that Level 2 driving automation has the potential to improve a driver’s situational awareness (SA) once he or she is familiar with the technology, although it does not guarantee it. Unfamiliar drivers, however, appear to have even more difficulty maintaining SA when using the system than when driving without it. On average, participants who were familiar with Level 2 systems showed the highest degree of SA about the bear when using the system, unfamiliar participants who drove with the system off had moderate SA, and unfamiliar participants who drove with the system on demonstrated the lowest SA,” the IIHS wrote.
Videos from inside the C300 showed that the drivers who correctly identified the giant stuffed bear actually spent more time scanning the road ahead of them. These drivers, particularly those familiar with Level 2 systems, even tended to look out of the car’s side windows. On the other hand, those who missed the bear spent a considerable amount of time just focusing on the road straight ahead. Drivers who failed to spot the bear even once spent considerable time looking at various aspects of the C300’s dash.
Considering the results of the IIHS’ study, it appears that some experience with Level 2 systems would be best for drivers before they are allowed access to more advanced driver-assist systems such as Tesla’s Full Self-Driving Beta, which is poised to be rolled out to a greater number of electric car owners in a couple of weeks. Situational awareness, after all, is critical when driving, and having drivers nervously fiddling around their vehicles’ features while operating a Level 2 system may present some risks. That being said, the IIHS’ results do go in line with one of Elon Musk’s more notable points–systems like Autopilot could actually perform as a formidable safety feature, provided that they are used responsibly and properly, of course.
The IIHS’ situational awareness study could be accessed below.
IIHS Level 2 Autonomy Report by Simon Alvarez on Scribd
Don’t hesitate to contact us for news tips. Just send a message to tips@teslarati.com to give us a heads up.
News
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.
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
Tesla FSD (Supervised) v14.2.2 starts rolling out
