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The Tesla Cybertruck’s looks are not as big of a deal as critics think
Just recently, Elon Musk acknowledged on Twitter that the Tesla Cybertruck might be a flop simply because it is so unlike anything else on the market. This has resulted in numerous Tesla skeptics predicting that the all-electric pickup truck’s design is so out there that the vehicle would be the company’s first true failure. Such sentiments, however, may be overblown, as the Cybertruck’s looks may not be as big of a deal as critics think.
Numbers Don’t Lie, and Specs Matter
The Cybertruck is a pickup truck, even if it does not look like a traditional truck. This means that it is designed to be capable enough to handle tasks that are typically expected of pickups. This is the reason why the Cybertruck has a large 6.5-foot bed, 100 cubic feet of exterior lockable storage, up to 3,500 lbs of payload capacity, and a towing capacity of up to 14,000 pounds. These matter, especially among buyers who actually use their pickup trucks for work.
These specs are pretty hard to beat. Even the Ford F-150 Lightning, which seems to be on track to become one of the most popular all-electric pickup trucks in the market, does not match up to the Cybertruck’s specs. Even if rumors are true and the Ford F-150 Lightning really has a range above 400 miles per charge, the Cybertruck’s tri-motor variant is listed with a range of over 500 miles. Tesla has so far not disappointed when it comes to its vehicles’ EPA-rated miles.
A Reliable, Rapid Charging Network Matters
During Car and Driver‘s recent “EV 1000” test, it was revealed that the US’ best electric vehicle rapid charging infrastructure is still the Tesla Supercharger Network. There are other networks that provide rapid charging services, but few if any could match the Supercharger Network’s ease of use, reliability, and sheer size. This matters a lot for all-electric pickup trucks, many of which would likely not achieve their rated range due to the cargo they carry or the items they tow anyway.
What is rarely mentioned is that Teslas are not only compatible with the Supercharger Network. Teslas can also charge at EVgo and Electrify America stations, to name a few. This means that the Cybertruck could charge at the same rapid charging stations as rivals like the F-150 Lightning on top of the Supercharger Network. This is a notable advantage, and one that would likely be appreciated by those who drive the all-electric truck.
Looks May Not Matter As Much
One has to get this point out of the way. Trucks are tough vehicles that are widely expected to handle the worst that the elements can offer. The Cybertruck could definitely be described as ugly, but it’s just like other pickups in the market in the way that it’s not necessarily competing with exotic supercars in the looks department. Elon Musk may have a point when he noted that pickups have generally looked the same over the decades, and it might be time for something new.
The Cybertruck is designed to weather the worst that the elements can offer, and with its thick stainless steel exoskeleton and tank-like appearance, it definitely ticks off the boxes in the toughness department. With this in mind, reasons like “but it looks so weird” and “I’m not comfortable with its looks” almost sound pretty lame. Even businesses that operate fleets of pickup trucks would probably prefer a vehicle that’s superior in specs and price, after all, even if its looks leave some to be desired.
Besides, different does not necessarily mean that something will be a flop. Just look at the Nissan Juke. No one can deny that it looks extremely weird, but it has sold over 1 million units in the first decade of its production. Why was this so? Because it’s a dang fun car and it’s quirky, and it does crossover things in a very good crossover way. It’s fairly reliable, sturdy, and cheap to maintain. Other drivers on the road would be hard-pressed to ignore it too, for better or for worse.
An iPhone Lesson
A pretty popular anecdote in the mobile phone industry involves the first-generation iPhone and how it was received by critics. Back then, the term “smartphone” generally referred to a fairly large handheld device with a full physical keyboard and some email capabilities. Then came a block of glass with an onscreen keyboard that offers no tactile feedback when typing. This attracted its own fair share of skeptics, many of whom felt like the device was just too strange to be a serious threat to the mobile phone giants at the time, such as Nokia and Blackberry.
Just check out this section from a 2007 review from TechCrunch, which was skeptical of the iPhone’s keyboard. “That virtual keyboard will be about as useful for tapping out emails and text messages as a rotary phone. Don’t be surprised if a sizable contingent of iPhone buyers express some remorse at ditching their BlackBerry when they spend an extra hour each day pumping out emails on the road,” the publication wrote.
So can the Cybertruck be a flop? It may, though unofficial trackers estimate that over 1 million reservations for the vehicle have been filed to date. But even if the vehicle does turn off many buyers such as die-hard truck guys who swear by their F-150s’ looks, the fact remains that the Cybertruck does not need the support of avid truck aficionados to be successful. It just has to show the world that it is a viable product with superior specs and durability at a reasonable price point. If it accomplishes this, then the Cybertruck would likely be fine.
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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.
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.
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
