After a three-day hearing, Colorado’s Air Quality Control Commission has decided to approve the adoption of a zero-emissions vehicle mandate. With this landmark decision, Colorado has become the 10th state to join California’s ZEV program, which is expected to improve air quality in the region while pushing automakers to expand their electric car offerings.
The adoption of the ZEV mandate, which requires carmakers to roll out more zero-emissions vehicles, was met with widespread support from members of the commission. The results of the vote was 8-1, with Commissioner Tom Gonzales being the sole official who opposed the mandate. Nevertheless, in a statement to The Colorado Sun, Commissioner Auden Schendler from Basalt noted that the ZEV mandate is but a modest step forward.
“This is an important step forward. But frankly, it’s a modest step. I think it’s as important for what it does as for what it signals. One of the big signals is the fact that auto manufacturers said we support it, this is technically feasible, we can move forward. I think it’s going to add energy to the emissions reduction effort just when we need it,” Schendler said.
In a written statement, CO Gov. Jared Polis explained that he personally pushed for the state’s adoption of the ZEV mandate as a way to address and potentially reduce the subpar air quality in a number of the region’s urban areas. Accelerating the adoption of vehicles that do have no emissions such as battery-electric cars is among the ways to address this issue.
“In one of my first executive orders as governor, I asked for the Department of Public Health and Environment to increase the choices Coloradans have when it comes to purchasing electric cars by increasing the number of models available in our state, and we got it done within a few short months. It’s only the beginning. Colorado must continue to reduce smog and increase consumer choice,” the governor noted.
The approval of Colorado’s ZEV mandate did not come without opposition. During the hearing, several auto dealers noted that they must purchase vehicles from manufacturers, and when cars don’t sell, they end up losing money every day, thanks in no small part to interest and maintenance on the vehicles themselves. Others added that Colorado residents purchase SUVs and pickups, and these are simply rare in EV form. Tim Jackson, president of the Colorado Automobile Dealers Association, argued that local dealerships stand to lose money if they give discounts to electric cars as well.
“Even though the vote was fairly overwhelming, there was a lot of concern that it doesn’t mean anything. But if it wasn’t going to be mean anything, then why do it because it will raise the price of cars that Coloradans want and need to buy,” Jackson said.
The Colorado Automobile Dealers Association president’s statement, if any, appears to discount the fact that there are a number of zero-emissions vehicles that are expected to make waves in the SUV and pickup segment. Tesla has the Model X as its resident SUV, and it will soon be joined by the Model Y crossover, which is far more affordable. The pickup truck segment is also set to be electrified, with vehicles such as the Tesla Pickup Truck, the Rivian R1T, and Ford’s very own electric F-150 expected to enter the market in the near future.
Amidst the widespread adoption of electric cars and the emergence of disruptive car companies such as Tesla, the number of dealerships across the United States has been seeing a notable decline. According to data from the National Automobile Dealers Association, many of these dealers actually lose money on the sale of electric cars, especially considering that EVs are known for needing little maintenance. This is unfortunate for car dealers, as a notable part of their revenue comes from service and repairs.
H/T Ray4Tesla.
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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
