Tesla has been working hard to improve its vehicle repair and servicing challenges over the last several months, and the audience noting both the issues and steps needed to solve them includes Rivian, the auto startup working on the all-electric R1T pickup truck and R1S SUV.
“So, we’re spending a huge amount of time solving service,” CEO RJ Scaringe revealed in an interview with The Fast Lane Car at Rivian’s recent event focused on second-life uses for its batteries. “Not just in your big cities, not just in LA or Seattle, but if you buy a car and you let’s say live 50 miles out from the city or live 200 miles away from the city… How do you manage that? So, those are some of the harder sort of challenges we’re thinking through and making sure it’s easy to service the vehicle.”
Tesla’s status as the pack leader in the burgeoning electric vehicle industry means every major challenge experienced becomes a front page story. Upcoming brands like Rivian have the strategic advantage of watching the struggle, noting both the failures and successes, and then incorporating the lessons into their own brand’s plans. Scaringe is, of course, quite aware of this advantage and credits Tesla for providing it.
“I think any great brand…that customers are going to be excited about and that customers are going to want to be part of, it has to fundamentally reset expectations. It has to disprove untruths. Tesla took the untruth that electric cars were boring and slow — that they were glorified golf carts — and they disproved that. They showed people that an electric car can be exciting and fun,” Scaringe acknowledged during a fireside chat at the Automotive News World Congress.
Rivian’s CEO also noted that the all-electric startup is determined to learn from the experiences of companies like Tesla, while integrating concepts from established automakers such as GM and Toyota. “We do recognize the complexity of assembling and putting vehicles together, of managing a very complex supply chain and logistics network, and we’re very [cognizant] of the nuts and bolts, and of the need to follow a proper process to ensure that, when we launch the vehicle, it can be launched with as few problems, errors, and challenges as possible,” he said.
Rivian isn’t the only company that’s taken note of Tesla’s headline-generating leadership in the world of zero-emissions vehicles. CEO and Founder Trevor Milton of Nikola Motors, a new manufacturer producing both battery-electric and hydrogen-electric semi trucks has noted the stress Tesla has experienced from being a revolutionary company disrupting an entire industry. “I sympathize with what Tesla has had to go through,” Milton said during a press conference following Nikola’s unveiling event in April. He plans to keep the company private, focusing on quality and performance before even considering becoming a publicly traded company, if ever.
Tesla recently announced that its Mobile Service and Service Centers are now capable of performing on-site and in-house collision repairs to include minor body work and bolt-on replacements. This addition is part of the company’s larger service improvement efforts to ensure quality work, quick turnaround, and transparent pricing for Tesla owners in contrast to issues experienced via non-Tesla body shops. Other service-oriented efforts made include a commitment to doubling service capacity in 2019, stocking all common parts at Service Centers, live repair status updates, and the roll out of vehicle self-diagnosis for certain issues paired with automatic replacement part ordering.
Rivian aims to do to pickup trucks and off-road-capable SUVs what Tesla did to the performance and premium automotive segments, and so far, it looks like they’re headed in the right direction.
Watch the full set of interviews with Rivian’s team by The Fast Lane Car below:
News
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
