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Tesla and other EVs are a good fit for the US Army's next-gen brigades: 3-Star General
The transition of the automotive sector to sustainable solutions will not only affect the mainstream transportation industry. As the adoption of electric cars like Teslas continue, branches of the US government such as the US Army would need to embrace electrification as well. This is something that was recently discussed by 3-Star General Eric Wesley, the director of the US Army’s Futures and Concepts Center.
In an interview with Defense News, Wesley explained why it is pertinent for the military to explore sustainable solutions for its future fleets. The Lt. Gen. also discussed some of the inherent advantages of electric vehicles compared to machines powered by the internal combustion engine. When talking about the current state of the US Army’s sustainable transition, though, Wesley admitted that things are running behind.
“Let’s be clear. We’re behind. We’re late to meet on this thing. If you look at all of the analysis, all of the various nations that we work with, they’re all going to electric power with their automotive fleet, and right now, although we do (science and technology), and we’ve got some research and development going on, and we can build prototypes, in terms of a transition plan, we are not there,” he said.
Wesley and his team are currently preparing a proposal for the head of Army Futures Command that addresses the topic of the US military’s efforts at electrifying its fleet. The 3-Star General noted that there are several key reasons why such an endeavor is needed. One of these is the fact that it is now undeniable that the entire automotive industry is going electric. The Army must do the same, or risk having its vehicles compromised by a potential lack of parts from the supply chain.
Operating electric brigades presents a variety of advantages that are simply not possible with petrol-powered machines. Electric vehicles, for example, are very quiet, and they generally have low heat signatures. This makes them more difficult to detect compared to internal-combustion vehicles. But these are just the tip of the iceberg.
Wesley added that electric brigades have a significant advantage in the way that they can remain deployed for extended periods for time. Since EVs can be charged from renewable sources such as the sun, they could operate independently in potentially contested environments. “We have to operate distributed, which means you have to have organic power that is readily available… Electrification allows you to have access to readily available power to distribute not only for the vehicle but for all those different systems that I have,” the Lt. Gen. said.
Lastly, electrified army vehicles have far less parts than regular petrol-powered machines. Tesla’s electric motors only have a few dozen moving parts, for example, while a regular internal combustion engine has thousands of moving parts. Key components such as batteries are usually modular as well, which means that replacing compromised sections could be accomplished fairly easily. Several electric vehicles today share a lot of the same parts as well, fostering commonality.
Electric vehicles have grown and evolved to the point where some EVs today are objectively better than their internal combustion counterparts, period. Battery costs are also dropping, with companies like Tesla reportedly approaching the $100 per kWh milestone. Vehicles such as the Tesla Cybertruck, which could be perfect for the Army due to its durable exoskeleton and over 500-mile range, suggests that more electric innovations are in active development as well.
Ultimately, Wesley admitted that the US Army’s transition to electric vehicles would come with a substantial price tag. That being said, he estimates that the cost to power an all-electric brigade will be lower than the cost to power the military’s existing internal combustion vehicles.
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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
