Tesla’s Supercharger network hit a record single-day energy consumption the weekend after Thanksgiving, meaning that more electric vehicle (EV) drivers were able to use the chargers in one day than ever before.
The Supercharging network reached a peak single-day consumption of 12 GWh on Saturday, November 30, as confirmed over the weekend by Max de Zegher, Tesla’s Director of North American Charging, in a post on X. The news came in response to some of de Zegher’s insights on recent price reductions in the Supercharger network, and as the company has been rolling out access to the network to the first non-Tesla brands throughout this year.
Tesla Supercharger network leads U.S. toward 2030 charging goal
Tesla Supercharger pricing updates, buildout ramp, faster charging, non-Tesla EV access
As for Supercharger pricing, de Zegher outlined two goals for Tesla following discussion on X highlighting that prices seem to have dropped in both Europe and the U.S. in recent weeks:
- Price low to accelerate EV adoption, we pass on cost efficiencies
- Be financially sustainable to invest in the network, growing dependable freedom to travel
Credit: Electric_Maik | X
Tesla has been ramping up the production and deployment of its Superchargers over the last several years. The company reached its 60,000th individual Supercharger stall worldwide in October, after surpassing 50,000 stalls just over a year earlier last September. Supercharger deployment also seems to have continued at a steady pace this year, despite layoffs affecting the charging team in April. Tesla later walked back some of the layoffs, even going on to re-hire de Zegher.
Earlier during the month of April, Tesla said that its pre-fabricated Supercharger units now take just four days from production to delivery and installation. Last month, de Zegher reiterated the advantages of pre-fab Superchargers, primarily including that it makes installation more quick, higher-quality, and more affordable, while those savings were being passed onto the drivers.
The never-ending hunt for efficiency matters to accelerate the transition to EVs,” de Zegher wrote in a post on X. “This is what shows up on-site: traditional build with excavations (left), vs pre-assembled Superchargers (right).”
Credit: Max de Zegher | X
In addition to the overall network buildout, Tesla officially announced plans to start rolling out V4 Supercharger cabinets in 2025, after beginning to roll V4 charging stalls throughout much of last year. The upgraded cabinets will give drivers charging at V4 stalls access to the higher charging speeds of up to 500 kW for the Cybertruck (or 1.2 MW for Tesla Semi) offered by V4 Supercharger stalls. Although Tesla hinted at this a few months ago with trials of faster charging speeds at select Superchargers, the news has been highly anticipated for years and will soon become a reality.
Tesla has also been working on improvements to the Supercharger network, including the buildout of more pull-through charging sites for vehicles that are towing, as well as making it easier to filter for these sites on the vehicle’s navigation system. Last month, the company also said it was aiming to make stall availability more accurate than ever, along with increasing long Supercharging cables, modifying stations to avoid blocked stalls from non-Tesla EVs with different charge ports, and pushing manufacturers to follow Tesla’s port locations.
In addition, the improvements come as non-Tesla EV brands including Ford, Rivian, General Motors (GM), Volvo, Polestar, and recently Nissan, can now charge at Supercharging stations in North America using an NACS adapter. Although the added EV brands will increase congestion at charging sites, Tesla’s efforts to implement improvements to existing sites and to continue building out the network will likely be felt by Tesla and non-Tesla EV owners alike—and it should definitely continue to help accelerate EV adoption.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
Tesla offers 3 months of free FSD (Supervised), Supercharging for Q4 orders in North America
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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
