Tesla’s V4 Supercharger appeared in new project plans for a site in Danvers, Massachusetts, with a design that is strikingly similar to the company’s 72 kW Urban Supercharger. However, project details outlined in blueprints for the Danvers Supercharger seem to indicate this is Tesla’s next big development in its next-gen charging posts, but some questions still remain.
Tesla’s V4 Supercharger
Tesla’s V4 Supercharger will, of course, succeed the 250 kW-capable V3 Superchargers that were released in 2019. The V3 Supercharger was an outrageous update and a huge development to the expedited process of charging Tesla’s EVs. Rates of up to 1,000 miles of range added per hour are capable with the V3 Superchargers, but they are also only available to Tesla vehicles, which is where the V4 may be coming into play.
Along with the rumored CSS support that the V4 Supercharger will pack, Tesla seems to be revising a recently-released 72 kW Urban Supercharger design for the new stalls. In the project outline for the Danvers, Massachusetts Supercharger, the design for the “Alternative Supercharger Post” is strikingly similar, but there are a few details that lead us to believe this is what Tesla is planning to utilize for the new design.
Tesla’s Urban Supercharger can be wall-mounted and installed virtually anywhere
Initially, the Alternative design in the blueprints is massive: 6′ 4.5″, weighing 200 pounds. That’s significantly larger than the Urban Supercharger, which is compact and perhaps only four feet or less in height. It towers over the V3 Supercharger design, which is also present in the blueprints and seems to be the project’s more-likely outfitting when it is complete (courtesy of @JH_Beford on Twitter).
Credit: John Bedford @JH_Bedford on Twitter
We recently reported on some rumors surrounding the V4 Supercharger design, and it does appear to be somewhat similar from a very elementary perspective to what descriptions of the new shell would be. However, there are some things that still remain in question as the V4 Supercharger design has not yet been made public by Tesla.
CCS Support
The project design lacks any mention of potential CCS Support on the V4 Supercharger, which is what most people would expect moving forward from Tesla. The automaker has been utilizing a Pilot Program in Europe that allows other EV brands to utilize Supercharger stalls. This project is available in sixteen countries in Europe, and Tesla has made it clear that, eventually, the capability will be available in the United States. For now, it is too much of an advantage as Tesla continues to grow, and the company keeps it exclusive to Tesla vehicles in the U.S.
However, as we are already a month into the second half of 2022, it gives Tesla less time to roll out the “new Supercharger equipment that will enable non-Tesla EV drivers in North America to use Tesla Superchargers.” These quoted words come courtesy of the White House.
CCS Support may not be on these designs for several reasons, and it could be that Tesla simply hasn’t finalized a design for that Supercharger. Additionally, this could be an entirely different design altogether, and while it could be the V4 Supercharger, Tesla may not have plans to put CCS Support on the V4. That could perhaps be saved for another design.
900v Architecture
Tesla’s V4 Supercharger will also likely support ultra-fast charging architectures like a rumored 900V setup for the Cybertruck. These higher-voltage architectures enable ultra-fast charging and can supply high-performance or high-workload vehicles with range in short amounts of time.
Tesla is also likely to head toward a 350 kW charging rate, which is present in Electrify America chargers. These chargers are perfect for high-voltage vehicles as they can charge vehicles faster, and most importantly, the vehicles can support them. Their higher voltage architecture can stabilize the charging process for these higher-powered chargers. The Porsche Taycan has an 800v architecture, which enables faster charging, less weight, and high performance, all at lower temperatures.
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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.
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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
