Tesla Model S is closing in on 400 miles of range per charge. With this update, Tesla has definitively extended its lead in the EV market, putting it far ahead — at least from a range perspective — against its biggest competitors. What’s rather interesting is that the Model S’ 390-mile range is just the tip of the iceberg.
Being a constantly-innovating company, it’s difficult to put the finger on the generations of vehicles that Tesla releases. Yet one look at the company’s upcoming electric cars and one would know that its next vehicles will feature next-generation technology. The Model Y, for example, is built from the company’s experiences with the Model 3, and pictures of the all-electric crossover in the assembly line hint that its casting may be quite unique. Tesla will likely not experience as many challenges ramping the Model Y compared to its previous vehicles, and this is likely due to the company’s experience.
There’s the Semi and the Cybertruck as well, both of which are large vehicles that would otherwise require a ton of batteries to get their estimated range. Yet in the case of the Cybertruck, the vehicle will be offering over 500 miles of range for less than $70,000. How Tesla will accomplish this remains to be seen, but Global Equities Research analyst Trip Chowdhry noted that the Cybertruck is on a “completely different technology orbit” after taking a test ride in the all-electric truck at Tesla’s Fremont factory.
Some of these improvements are already coming soon. Later this year, Tesla is expected to release the Model S’ Plaid Powertrain variant, which will be track-capable and boast an insane amount of power with its tri-motor setup. Elon Musk noted recently on Twitter that the Plaid Model S has “absurd” performance, though the electric car maker will ensure that the vehicle still gets enough range. This comment may seem like a typical Elon Musk update, but it shows a lot about Tesla’s experience as a veteran electric car maker.
Making an electric car is not easy. Making a great electric car is twice as difficult. This is something that veteran automakers are now learning, with each vehicle that they release. Premium EVs seem to be the ones learning this lesson the hardest, especially as otherwise great cars like the Audi e-tron and the Jaguar I-PACE end up being bogged down by issues such as range. Yet among carmakers and “Tesla Killers” that have come out, the Porsche Taycan seems to be the best example of this experience gap.
The Porsche Taycan is a beautifully-designed electric sports car, and it works like one. It’s top-tier variant, the $185,000 Taycan Turbo S, is arguably the only vehicle that can beat a Raven Model S Performance on the drag strip fair and square. Yet for all its speed and power, the Taycan suffers from poor efficiency, as evidenced by the Turbo S’ 192-mile EPA rated range. Granted, tests from motoring publication Car and Driver suggest that the Taycan’s range is more tuned for Autobahn driving, but the gap between the vehicle and the Model S is very evident. This becomes even more notable when one considers that both cars’ battery packs are similarly-sized.
The Model S’ Long Range Plus update means that through incremental improvements on electric car batteries, Tesla is now able to draw out 390 miles out of a 100 kWh pack. That’s just about 20 miles short of Rivian’s 400-mile trucks, and those vehicles are equipped with a 180 kWh battery pack. This matters a lot, and this is a benchmark that will probably take a few years to beat.
During Porsche’s Annual Press Conference last year, the company’s executives focused a lot of their discussions on the Taycan, whose development represented a multi-billion-dollar initiative for the company. Following the main conference, I was fortunate enough to be part of a group of reporters who were able to get a brief Q&A session with Porsche Board Member for Sales and Marketing Detlev Von Platen. When it was my turn to ask a question, I inquired about Porsche’s strategy about the Taycan’s range, and how the company plans to prevent the vehicle from being the electric equivalent of a gas guzzler.
The Board Member’s response did not directly address my inquiry, though he did emphasize that Porsche is no neophyte with battery tech due to its efforts with high-performance hybrid sports cars like the 918 Spyder. This is a fair point to make, of course, though looking at the Taycan’s range, it appears that the company still needs a few more iterations of its flagship electric car before it can expertly balance performance and range in a pure EV. The Tesla Model S Plaid is coming to establish itself as the undisputed king of consumer EVs, after all. If Elon Musk’s words are any indication, it would be a triple-motor monster with frighteningly quick acceleration and a range that’s still close to 400 miles.
That’s going to be a far tougher rival than the Tesla Model S Performance.
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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.
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Tesla is not sparing any expense in ensuring the Cybercab is safe
Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.
The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility.
Intensive crash tests
As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays.
Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads.
Prioritizing safety
With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.
Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
Tesla FSD (Supervised) v14.2.2 starts rolling out
