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Tesla Semi’s vast array of Autopilot cameras and sensors for convoy mode spotted
When CEO Elon Musk unveiled the Tesla Semi to the world, one of the main messages in his presentation was that the all-electric semi-truck is significantly cheaper to own than a traditional diesel truck. With a starting price of $150,000 for the base truck, and $180,000 for the long range 500-mile variant, the Tesla Semi is priced considerably lower than what many industry experts expected.
“We really thought about this a lot. If you take everything into account: take the lease cost, take the insurance cost, maintenance, all of the factors – the fully accounted for true cost of trucking – a diesel truck will be 20% more expensive than a Tesla Semi per mile.” said Musk.
The Tesla Semi is able to achieve high efficiency through the use of four electric motors – the same volume production motors used in the company’s consumer mass market Model 3 sedan – that operate independently to control torque at each wheel. The drivetrain’s design not only allows for blistering acceleration, by truck standards, but also adds an element of safety. “The truck will automatically stop jackknifing because it has independent motors on each wheel and it will dynamically adjust the torque on each wheel so that jackknifing is impossible. Your worse nightmare is gone with this truck.”
However, combined with the truck’s ability to leverage convoy technology wherein a fleet of Tesla semi-trucks semi-autonomously draft in close proximity to one another thereby reducing energy usage from wind resistance, Tesla Semi’s true cost of ownership becomes even more favorable than a diesel truck.
“The convoy technology, the tracking technology, this is something that we are confident we can today do ten times safer than a human driver.” said Musk at the Tesla Semi unveiling event. “I want to be clear, this is something we can do now.”
According to Musk, a diesel truck becomes twice as expensive as a Tesla all-electric truck that’s operating in convoy mode.
Similar to Tesla’s Autopilot-enabled Model S and Model X consumer vehicles, the Tesla Semi is able to use a suite of cameras and sensors to paint a digital picture of its surroundings. Every truck is equipped with Enhanced Autopilot that will allow the vehicle to semi-autonomously stay in lane, automatically brake in emergency situations and warn of forward collisions.
DON’T MISS: Close-up look at Tesla Semi’s “Megacharger” charging port
“Even if you’re in an emergency, the truck will stay in lane, and gradually come to a halt, and put on the emergencies. If it doesn’t hear a response from you, it will actually call emergency services and get an ambulance. It’s going to take care of you; it’s going to take care of other cars; it’s going to take care of other pedestrians. This is a massive increase in safety.” said Musk.
On the outside, the sleek Tesla Semi doesn’t appear to have any protruding hardware beyond a “wing” that’s present on either side of the truck. Upon closer investigation by KmanAuto who attended the event and gave us a first look at the Tesla Semi’s gearbox, there’s a vast array of cameras and possibly a LiDAR mounted within the truck’s wings.
- (Credit: Tesla)
Because the Tesla Semi doesn’t have any side mirrors, video from these cameras likely provide the driver with a birds eye view of both sides of the truck as seen from the interior touchscreen displays. Kman also discovered a row of cameras mounted below and above the massive windshield, and even more cameras discreetly mounted within Tesla Semi’s headlight assembly.
Though Musk did not talk about the integration of Full Self-Driving capabilities in the Tesla Semi, Kman notes that it could be possible if Tesla one day offers its own tractor trailers with sensors. “I think Tesla will offer its own tractor trailers. These trailers will be outfitted with their own suite of sensors to enhance the vehicle’s abilities further.” Kman tells Teslarati.
We’ve embedded Kman’s video that captures the various locations of Tesla Semi’s sensor suite. We count at least 12 cameras. How many can you spot?
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.




