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Porsche exec credits Tesla for proving EV demand, reveals Taycan reservation details
Porsche Cars North America president and CEO Klaus Zellmer recently shared his insights about what he perceives to be the upcoming widespread adoption of electric cars. In an op-ed published on USA Today, Zellmer argued that the demand for electric vehicles is definite at this point, and it will only be a matter of time before the United States’ roads are filled with EVs.
While the Porsche CEO continues to prepare for the arrival of the Taycan, he nonetheless gave credit to Tesla for making “inroads” in the push for battery-electric vehicles. Zellmer argued that Tesla has all but proven that there is “significant demand” for electric cars, particularly those which combine sustainability with performance and design.
“Last year, the Model 3 outsold any other premium sedan in the US. We know that American consumers embrace new technology, especially if it delivers a new experience. And once a technology catches on, consumers respond well to expanded choice as competitors enter the field. Just look at how many models of SUV you can buy today, or the proliferation of smartphones since Apple introduced the iPhone in 2007,” he wrote.
Apart from the demand for electric vehicles being all but certain, the Porsche CEO added that the expansion of EV charging infrastructure is starting to hit its stride, as shown by the efforts of companies like Electrify America, ChargePoint, and EVgo. Zellmer also argued that electric cars are cleaner than they have ever been, thanks to a grid that is steadily becoming greener.
Nevertheless, perhaps the most notable sign for the Porsche CEO was the demand the German carmaker is seeing for its first modern all-electric vehicle, the Taycan. According to Zellmer, there is enough interest in the Taycan to fully account for Porsche’s production of the vehicle through late 2020.
“We already have enough interest to account for all the Taycans we expect to deliver in the US in the first year, through late 2020. That’s powerful, given that the final production model has yet to be unveiled. And the market potential is so strong that we just announced we will switch our best-selling model, the Macan compact SUV, to all-electric in the next few years,” he wrote.
A particularly interesting tidbit given by Zellner in his op-ed involves some details about the demographic that the Taycan has been attracting. The CEO mentioned that fewer than half of the Taycan’s reservation holders are current Porsche owners, but from those who are, the biggest single group own a Porsche 911, the company’s flagship vehicle.
“The fact that someone can love the sound and feel of an exhilarating flat-six gas engine and also be attracted to the silent power of a performance EV says volumes about the capacity of the US market for this new power train,” Zellmer stated.
Porsche is currently preparing for the launch of the Taycan, which is expected to be held this coming September. The final details of the vehicle are yet to be released by the company, though reports have emerged stating that the car will come in three variants: a base rear-wheel-drive Taycan that’s equipped with an 80 kWh battery pack, a mid-range Taycan 4S that’s fitted with a 96 kWh battery, and a top-of-the-line Taycan Turbo, which will also feature a 96 kWh battery. Recent reports have also hinted at possible upcoming variants for the vehicle, such as the Taycan Turbo S and a lighter, RWD Taycan GTS that will likely be optimized for track driving.
The full text of Porsche Cars North America CEO and president Klaus Zellmer insights on electric car adoption, Tesla, and the Taycan could be accessed here.
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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
