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Tesla Model 3 gets Full Self-Driving HW3 upgrade: Full details with lessons learned
True to Elon Musk’s expectations on Twitter last month, it appears that Tesla is now looking to ramp Hardware 3 retrofits for owners who purchased the Full Self-Driving suite and whose cars are equipped with HW2 or HW2.5. A recent account involving a Tesla owner-enthusiast’s experience with her Model 3’s HW3 upgrade shows that there are still some areas in the retrofit process that can be improved.
Tesla Model 3 owner-enthusiast TeslaJoy was looking to do a video on the company’s recent voice command update when she noticed that the feature on her vehicle was not working properly. This prompted her to make an appointment with Tesla to get her car checked in and fixed. During the troubleshooting process, she inquired if a possible HW3 retrofit could be done to her vehicle as well. Fortunately, a HW3 unit was available for her Model 3, and so, a rather eventful upgrade process began.
Tesla Service Centers currently receive batches of HW3 units from the electric car maker, and each unit is assigned to a specific VIN. This is the reason why for now, at least, owners are not advised to call Tesla to schedule a HW3 retrofit. Fortunately for Joy, the Tesla Service Center opted to perform the HW3 upgrade at the same time as her appointment, since she would need to bring her Model 3 back for a retrofit anyway.
Since the retrofit was estimated to take around 5 hours, Tesla asked the Model 3 owner to leave her car for the day and claim it the next business day. That was December 31, which meant that the vehicle should be ready the day after New Year’s. As it would turn out, the Service Center would end up encountering difficulties installing the necessary firmware on Joy’s Model 3. This resulted in delays, which culminated in the vehicle’s HW3 retrofit being completed on January 5, 2020, over five days after the Model 3 owner turned in her car.
Hardware 3 retrofits are available for owners who have purchased Tesla’s Full Self-Driving suite, and whose cars are still equipped with the company’s HW2 and HW2.5 units. With Hardware 3 installed, owners will be able to utilize the full suite of FSD capabilities that the company is rolling out today. One of these is the FSD preview that Tesla rolled out for the holidays, as well as features like traffic cone recognition.
True to Elon Musk’s words on Twitter, the HW3 retrofit is free for owners who have purchased the company’s FSD suite. Joy, for her part, was able to get FSD last March at a discounted price of $2,000 on top of her Enhanced Autopilot. FSD currently costs $7,000 when it is included in a new vehicle’s order.
Based on Joy’s experience, it appears that owners should expect to wait some time for their vehicles are set to be retrofitted. In the Model 3 owner’s case, her car’s upgrade ended up taking days since the first HW3 kit that was installed did not function properly. This resulted in the vehicle essentially getting retrofitted twice, causing delays. Tesla did give Joy a $500 Uber voucher due to the absence of loaner vehicles, but the whole experience showed notable points for improvement nonetheless.
In a way, TeslaJoy‘s experience with her Model 3’s HW3 retrofit stands in stark contrast with the experiences of Model S owner Sofiaan Fraval, whose car was upgraded by a Service Center during a voluntary HEPA replacement. In Fraval’s case, his Model S was fully retrofitted within a matter of hours, and it was calibrated in pretty much the same day. A Tesla Model S owner who runs the Electric Dreams YouTube channel also received his vehicle’s HW3 retrofit without any issues, and it was performed by a mobile technician, not a Service Center.
In the Electric Dreams host’s case, the entire HW3 retrofit was conducted from the convenience of his home, with a mobile service tech coming over in the morning, taking an hour and a half for the installation to be completed, and an additional two hours for the necessary firmware to be loaded onto the vehicle. This is in line with Elon Musk’s previous statement on Twitter, where he stated that HW3 retrofits should be possible through Tesla’s mobile service fleet.
Overall, there seems to be a variance with regards to the experience of owners when getting their vehicles retrofitted with Tesla’s FSD computer. Some owners seem to be experiencing a seamless, painless process, while some, like Joy, end up having to test their patience. Hopefully, as Tesla ramps its HW3 retrofits this quarter, the company could work in optimizing its upgrade process, so there are more experiences like the Electric Dreams host’s, and less like TeslaJoy‘s.
Watch TeslaJoy‘s HW3 experience 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
