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Elon Musk spoke with Consumer Reports following Tesla Model 3 test results
In a recent episode of Consumer Reports’ Talking Cars, Auto Test Director Jake Fisher recounted a conversation he had with Tesla CEO Elon Musk following the release of CR’s test results for the Model 3.
While the magazine stated that there was “plenty to like” about the electric car, such as its excellent range and handling, there were several aspects of the vehicle that left much to be desired. The most prominent of the Model 3’s shortcomings were the car’s brakes, which had an average stopping distance of 152 feet from 60-0 mph — longer than any vehicle in its class. Due to its shortcomings, Consumer Reports opted not to give the Model 3 a “Recommended” rating.
Musk promptly responded to the magazine’s findings on Twitter, stating that Tesla would address the Model 3’s braking issues in an over-the-air firmware update. Musk also pledged to continuously improve the Model 3’s brakes, saying that “Tesla won’t stop until Model 3 has better braking than any remotely comparable car.”
As revealed in Consumer Reports’ recent Talking Cars episode, Musk also reached out to Auto Test Director Jake Fisher after the magazine’s test results were published. During their conversation, Musk and Fisher discussed the Model 3 and possible improvements to the vehicle.
“He was remarkably candid about things. Honestly, he actually thanked us for bringing these things to attention, and said that we’re helping him make the car better,” Fisher said.
Fisher noted that he and Musk talked about several of the Model 3’s deficiencies, such as its controls, brakes, wind noise, rear seats, and its suspension. According to the CR Auto Test Director, Musk stated that Tesla has implemented improvements to the Model 3’s design over the past few months.
During the March-April timeframe, for one, Tesla rolled out changes to the Model 3’s glass to adjust wind noise in the cabin. Around the same time, Tesla also made modifications to the suspension, such as its shock absorbers, to make the ride more comfortable.
Musk discussed the controls of the Model 3 as well, a particular aspect of the vehicle that was considered as a weakness in Consumer Reports’ evaluation. According to Fisher, Musk threw out some ideas to make the car’s controls better.
“We talked about the vents, and he talked about ideas of, well, maybe as you move the seat, (the Model 3) would automatically adjust the vents and the mirrors to suit you,” Fisher said.
Consumer Reports recently published the results of its tests for the Model 3. [Credit: Consumer Reports/YouTube]
Musk also discussed another one of Consumer Reports’ complaints about the Model 3 — the car’s keycard. During its testing, the magazine noted that the phone key worked very well with the Model 3, but using the keycard proved cumbersome. Musk addressed this issue during his phone conversation with Fisher as well.
“He (Musk) admitted that yeah, this isn’t working too well, and we really should do something better. Again, I don’t know if they’re gonna do it or not, but he said we really need to provide a normal key to the customers of this car,” Fisher said.
The Model 3’s keycard stands as one of its differences with its larger siblings, the Model S and the Model X, both of which use Tesla’s ubiquitous electric car-shaped key fobs. The keycard, which is credit card-sized for easy storing in a wallet, is embedded with a small chip that acts as a digital signature for the vehicle.
Since the Model 3 keycard uses near field communication (NFC) technology, the card has a limited transmission range of about 4 inches, requiring owners to tap the electric car’s B-pillar to unlock the door. The card is also placed between the front seats of the vehicle to start the car.
Consumer Reports has been mixed with Tesla’s vehicles so far. The magazine dubbed the Model S as the best car it ever tested. The Model X, on the other hand, was dubbed by CR “fast and flawed,” citing the overcomplicated Falcon Wing Doors of the all-electric luxury SUV. Despite its reservations with the Model X, however, Consumer Reports nevertheless ranked Tesla as the sole American automaker in its Top 10 list for 2018.
Watch Consumer Reports’ recent episode on the Tesla Model 3 in the video below.
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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
