Tesla is looking for a Chief Designer to oversee its production of China-specific model releases in the country. The company’s efforts to open a Design Studio in China have been well-known, but the search for someone to help design cars that will be geared toward the Chinese market in specific continues.
Tesla has been manufacturing its electric vehicles in China since late 2019, while the first public deliveries began in January 2020. Since then, the automaker has seen overwhelming growth, which has been driven by incredible demand in China. The Tesla Model 3 is coming off of a highly-successful 2020 where it dominated sales figures for the full year. The Model Y also began production in late 2020 in Shanghai at its manufacturing plant, but the two cars are not all the company has in its plans.
Sources familiar with Tesla’s operation in China told Reuters that the company had started a full-fledged search to find the person who will design China-geared designs moving forward. According to the sources, recruiters and human resources representatives have worked diligently for four months to find a “bi-cultural” candidate with at least 20 years of experience. It will require a subjective sense of automotive design and familiarity with Chinese tastes. Even though Tesla has done relatively well in the Chinese market with its cars, the company plans to attack the market with designs that will speak to local citizens, which should drive sales figures through the roof.
A handful of potential candidates have been interviewed by Franz von Holzhausen, Tesla’s Chief Designer, but it is unknown how many people Tesla has talked to thus far.
In June 2020, Teslarati reported that Tesla was requesting that everyone, regardless of design experience or automotive craftsmanship, design an all-electric car that would appeal to China’s masses. “Even if you are not a car designer, you are welcome to submit. It’s more than just a car designed for you,” Tesla stated. “Please think of China in your Tesla design work.”
This request from the automaker followed a January 2020 Reuters report that revealed Tesla’s plans to design a “Chinese-style” vehicle.
Tesla is coming off its biggest year as a company, successfully delivering 499,650 of its over 509,000 produced cars. Q4 2020 was the company’s biggest quarter yet in terms of production and deliveries, as the company worked diligently to attain the 500,000 vehicle guidance it set for itself well before the COVID-19 pandemic slowed production lines.
Chinese-Style Tesla Vehicles (Source: Tesla China WeChat)
The mission to increase the number of EVs on the road is far from over for Tesla. Now, it seems the automaker will begin adapting body styles to every market, looking to cater to each consumer base individually, instead of planning to release a universally-accepted vehicle that doesn’t require revisions. While Tesla’s cars have been successful in countries other than the U.S., there is still work to be done. With more cars on the road in China than any other country globally, focusing on China could ultimately lead to long-term success for Tesla and may lead to a more prolonged domination of the sector than originally anticipated. CEO Elon Musk has openly stated that other companies will catch up in terms of EV development, but Tesla would be able to remain in their lead due to manufacturing efficiencies.
Once a Chief Designer is hired, Tesla will begin to build a team that will turn renderings into clay models. This will eventually lead to new EV designs being built and a broader range of body styles for consumers to choose from.
It is unclear if the development of new Chinese designs has anything to do with the $25,000 vehicle that Tesla plans to manufacture in China soon. Tesla detailed this vehicle at the company’s Battery Day event in September, where Musk stated that a $25k, fully autonomous car would be available in 3-5 years.
Right now, China is swallowing up demand for small, compact cars, even if they are not electric. The Toyota Corolla and Volkswagen Golf are two of the most popular, and Shanghai-based consultancy group Automotive Foresight says that a compact vehicle could be Tesla’s key to dominating the country and beyond. “A compact Tesla car would do well in China, as well as the rest of Asia and Europe,” Automotive Foresight’s Yale Zhang said. “It could potentially put a serious dent in sales of cars like Toyota’s Corolla and the Volkswagen Golf.”
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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.