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Tesla Cybertruck is keeping its massive size; now it’s an even better rival to flagship pickups and SUVs
After a significant degree of consideration, CEO Elon Musk has noted that the Tesla Cybertruck will likely be keeping its original physical size. This means that the all-electric pickup will be just as massive and daunting as the prototype that shocked the automotive industry in its unveiling late last year.
Musk’s comments came as a response to a tweet showcasing a clip from an upcoming Jay Leno’s Garage feature, which is currently being promoted by CNBC. The upcoming episode of the popular auto show will be focused on Tesla, and teasers have shown Elon Musk and Jay Leno discussing the Cybertruck, the Roadster, the S3XY line, and even the Semi.
In his recent update, Musk stated that he recently reviewed the design of the Cybertruck with Tesla Design Chief Franz von Holzhausen, and they figured that even a 3% reduction in size to the all-electric pickup would make the vehicle too small. With this in mind, the production version of the Cybertruck will likely be identical in size to the massive prototype that was featured in the vehicle’s unveiling late last year.
Musk did note that this would likely mean that Tesla will be releasing a smaller truck sometime in the near future. This could actually be strategic for Tesla considering that veteran truck makers such as Ford have both full-sized trucks such as the F-150 and smaller pickups like the Ranger. The Cybertruck will be a rival to the F-150, but Tesla has no response to the Ranger, and the market for midsize trucks is significant as well.
While the Cybertruck’s massive size will likely result in the vehicle being too large for some American garages, Musk’s decision to keep the pickup’s dimensions identical to the prototype would mean that it will be comparable to some of America’s most popular pickups and SUVs. This is because the American market is quite fond of large vehicles, and this has resulted in flagship trucks and SUVs getting bigger by the year.
A survey from USA Today has determined that the drive for bigger vehicles in the United States has started bumping into the physical limitations of American homes and garages. Jeff Dyke, president of Sonic Automotive, one of the largest automotive dealership networks in the US, described this trend in a statement to the publication.
“The next-generation Suburban is gonna be so big – my wife drives one – you’re not going to be able to park it in the garage. The Tahoe is the new Suburban, and the new Suburban is a school bus.” Dyke said. Despite this, Americans want large vehicles, as indicated by the demand for full-sized trucks and SUVs. “Gas prices are low, they’re reasonable, and the country’s in love with SUVs,” he added.
These challenges associated with large vehicle sizes do not appear to be adversely affecting the pickup and SUV market, or at least not as much. Both segments remain popular, and they do not seem to be poised to drop anytime, either. Instead of stopping the purchase of these vehicles, consumers in the United States have responded to this trend by simply parking their trucks and SUVs on their driveways.
This presents some challenges, of course, since exposing vehicles to the elements means that their paint may get damaged, among other things. Vehicles left outside are prone to getting punished by the elements, which is bad news if they are exposed to things like hail. As it happens, the Cybertruck actually addresses these factors, as the vehicle appears to be designed to be parked outside.
In previous tweets, Musk has stated that the vehicle will have an option where its motorized tonneau cover is fitted with solar panels, allowing the Cybertruck to charge its batteries while it’s parked outside. The all-electric pickup is also unpainted, which means that it can take a lot of punishment without flinching. Musk even noted recently that the Cybertruck would pretty much be impervious to hail, on account of its steel body and Armor Glass.
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Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
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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.
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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.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
