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Exploring Details Behind the Tesla Model S Update
After four years on the market, Tesla has quietly released a new styling update for the Model S aligning it with the design found on the Model X and Model 3 prototype.
Tesla CEO Elon Musk has once said that Tesla continues to improve on their vehicles making sometimes twenty engineering design changes per week, with many of them being released via over-the-air software updates, but major redesigns are few and far between.
Let’s take a closer look at what the new Model S “refresh” introduced.
Exterior Design Updates
The most noticeable exterior update is the new front-end of the Model S which looks most like the front-end of the Model X.
- 2016 Tesla Model S revised front end
- Red Tesla Model X with Silver 20″ Wheels
Though they look very similar in design, the Model S looks even sleeker due to the lower profile over the Model X. The revised look keeps the Model S modern in appearance, but subtle enough that it still remains true to its original contour and body lines.
One update that easily goes unnoticed is the relocation of the front facing radar. Because of the new grill-less design of the Model S, the Tesla design team had to move the radar up from the bottom grill to the open space behind the Tesla emblem. This not only helps with functionality because of a higher mounting position with potentially less obstruction, but the new hidden location makes the car look a heck of a lot better.
Also improved on the exterior are the headlights which are now adaptive LED headlamps that adjust according to the curvature of the road. This is standard equipment found on the Model X but also seen on the Model 3 prototypes.
Interior Design Updates
The interior treatment of the Model S received a few new updates as well. Tesla has included a standard center console that looks to be the same one from the Model X.
- Revised Tesla Model S center console
- Tesla Model X Front Interior
Tesla Model S (left) vs Model X (right) interior
Tesla has also added a Figured Ash as an available interior trim. This trim has been very popular among Model X buyers, but it also happens to be a personal favorite of mine.
Additional Features
The Model S onboard charger has been upgraded from a 40A standard charger to a 48A standard charger, with an option to further increase charging rate by opting for a 72A “high amperage” charger. The older Model S configurations offered a 40A charger standard with an option to upgrade to 80A (‘dual chargers‘).
Tesla also made the automatic lift gate now a standard option which makes sense for a premium vehicle in this price range.
Included in the premium upgrade package is the BioWeapon defense mode air filtration system, as well as ambient interior lighting (previously an optional upgrade).
Pricing
While there were many rumors of a Model S price increase leading up to this design refresh, the new updates do not seem to be reflected in the price.
“The new Model S may actually be less expensive than before”
I priced out the latest Model S with options that I chose from before, and compared the new price side by side with one I previously saved.
The price from before was $98,450 and the new price is $104,450, but despite the price difference there are a couple of key differences which makes for the price disparity. Let me explain.
The last time I configured a Model S I couldn’t locate a high amperage/dual charger option so my $98,450 does not include that option. On the other hand, the updated Model S comes with a 48A charger as a standard feature. This is included in the base price of the vehicle.
Tesla also no longer offers the S85D which I priced-out back then, so this new price is for the 90D. In the past the extra 5 kWh was a $3,000 option.
If you back both of those out to the new price you get to a price difference of $99,950 or a price increase of $500. Keep in mind that the updated Model S also comes with a center console (previously a $650 extra charge) and the new air filtration system. Depending on how you look at it, the new Model S may actually be less expensive than before.
One could easily make the case that the new offering is an improvement over what Tesla offered before and is actually less expensive.
Summary
It’s great to see Tesla keeping the Model S design fresh and current despite all of the activity going on within the company, let alone conquering challenges with launching the Model X and preparing for the Model 3. Being able to pull off this current update – factoring in changes to production, logistics, service, etc – Tesla continues to defy naysayers and show the world what ingenuity and perseverance can accomplish in such a short amount of time.
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.
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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.
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.




