Some would say that the Tesla Model 3 has opened doors for the EV industry in the mainstream passenger car market. To an experienced professional driver like John Chambers, the Tesla Model 3 might be more than just a good passenger car.
“I do think, if you want to take a car on track, I think the Model 3 is the best car,” Tevo Solutions founder John Chambers told Teslarati.
Chambers explained that the size of the Model 3 was a good fit for the track. “Because the Model 3 now is easily the match of any car of that size when we take it on track. There’s nothing that could stay with it,” he said. And that’s including gas or petrol cars.
Chambers is a long-time car enthusiast who can remember the days when there were no track barriers between the spectators and the cars on the racecourse. He’s been behind the wheel of some successful track runs, under the hood optimizing race cars, and even mentored the next generation of racers throughout his career thus far. Now, he wants to help people understand Tesla and other EVs better, too.
He is excited to see a Model 3 with a Taycan on the track during Tevo Solutions’ EV-only track day at the Llandow Circuit in the United Kingdom. Chambers believes it would be an excellent chance to compare the two EVs along with the opportunity to see and experience other electric vehicles, too.
Although, he did distinguish that a track day in the UK is not competitive. It is a day for drivers to learn more about their vehicles and learn slightly more advanced driving skills.
As more car owners transition to electric cars, events like Tevo Solutions’ track day may become common in the automotive industry. Rivian, for instance, plans to hold a 4-month Demonstration Driving Program for new R1T owners so they can familiarize themselves with their new electric pickup truck.
The EV-only track day, scheduled for August 18, 2021, was exclusively created with electric vehicle owners in mind. As per Tevo Solutions’ press release: “Hybrids, PHEVs, and vehicles with range extenders will not be accepted.”
In his talk with Teslarati, Chambers shared that not many tracks or organizers in the UK would consider opening their tracks to EVs, let alone hold an EV-only track day.
“When I got my Model 3 [Performance], there was nothing I could enter that was competitive. At the time, the rules didn’t allow EVs because they were still worried about fire and safety,” he said.
As with many things related to Tesla, there have been some forms of FUD (fear, uncertainty, or doubt) about Tesla vehicles or electric cars in the UK. But Chambers believes the country is overcoming the FUD surrounding EVs or, at least, more people are trying to understand electric vehicles better.
As for Chambers, he ended up joining non-competitive track days, which most Tesla owners participated in at the time. “But there was no track or organizer that was going to do an EV-only day. And, I thought, it’s the obvious next step. But nobody decided to do it, so I decided I’d do it myself.”
TEVO Solutions is working with a list of top-class driving instructors for the event, including a coach responsible for training drivers seen in popular car scenes in films including Mission Impossible and some James Bond movies.
Tesla Model 3 SR Plus sold out in UK for Q2 despite zero EV purchase incentives
Tevo will inform event participants of charging locations near the Llandow Circuit. The company is also trying to bring portable chargers into the track grounds for more convenient charging. Chambers noted that charging is one of the stopgaps that make circuits hesitant about organizing an EV track day.
Chambers hopes that the event will be inclusive. At the time of the interview, he shared that at least two Taycans, a VW Golf-e, and possibly even a VW Beetle converted to electric would be coming to the event. So when Tevo Solutions said all EVs are invited, it really meant all electric vehicles.
Learn more about the UK’s first-ever EV-only track day, here.
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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
