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How Tesla deployed FSD-style features in China despite data restrictions: report

Credit: @DriveGreen80167/X

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During the Q4 2024 earnings call, Tesla CEO Elon Musk noted that FSD’s rollout in China is quite challenging because the country does not allow the transfer of training data outside its borders.

It appears that Tesla was able to work around this challenge through a collaboration between its engineering teams in China and the United States.

The reports:

  • Citing several people reportedly familiar with the matter, Chinese news outlet LatePost claimed that a team of engineers from Tesla’s U.S. headquarters traveled to China in early February to help with the local deployment of FSD features in the country.
  • In theory, the collaboration was expected to optimize the performance of Tesla’s FSD features domestically without transferring any training data outside China.
  • With this arrangement, Tesla China’s team would not have to train FSD from scratch. The Tesla China team is also expected to take over the algorithmic optimization of local road scenarios in the country once the U.S. team’s work is complete, as noted in a CNEV Post report.
  • The data used for algorithm training in China were from Tesla’s engineering vehicles that have been driven on specific roads around the country since last year, LatePost‘s sources claimed.

Tesla China’s “Not-an-FSD” update:

  • Tesla China started rolling out update 2024.45.32.12 to qualified vehicles across the country.
  • The update did not mention FSD, but it included a feature locally called “Autopilot automatic assisted driving on urban roads,” which is very similar to FSD’s inner city streets driving.
  • Tesla China described its new “Autopilot” feature as follows:
  • “Using Autopilot automatic assisted driving on controlled roads (main roads where road users enter and exit through ramp entrances and ramp exits) and urban roads will guide the vehicle out of ramps and intersections according to the navigation route, and identify traffic lights at intersections to go straight, turn left, turn right, turn around, etc. It will also automatically change lanes according to speed and route. When the navigation route is not set, the optimal road will be selected according to the actual road conditions.”
  • Tesla watchers have observed that China’s “Autopilot automatic assisted driving on urban roads” feature is only available for AI4 vehicles.

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Xpeng CEO: Tesla FSD 14.2 has developed “near-Level 4” performance

While acknowledging that imperfections remain, the Xpeng CEO said FSD’s current iteration significantly surpasses last year’s capabilities.

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Credit: Grok Imagine

Xpeng CEO He Xiaopeng has offered fresh praise for Tesla’s Full Self-Driving (FSD) system after revisiting Silicon Valley more than a year after his first hands-on experience. 

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.

Tesla FSD closing in on Level 4 driving

During his visit, He test-drove a Tesla equipped with FSD V14.2. He also rode in a Tesla Robotaxi. Over roughly five hours of driving across Silicon Valley and San Francisco, He said both vehicles delivered consistent and reassuring performance, a notable improvement from his experience a year earlier.

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 imperfections remain, the Xpeng CEO said 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, allowing users to bypass intermediate autonomy stages and move closer to Level 4 functionality.

He previously tested Tesla’s FSD V12.3.6 and Waymo vehicles in California in mid-2024, noting at the time that Waymo performed better in dense urban environments like San Francisco, while Tesla excelled in Silicon Valley and on highways.

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Xpeng’s ambitious autonomy roadmap and internal challenge

The Silicon Valley visit also served as a benchmark for Xpeng’s own autonomy ambitions. He stated that Xpeng is looking to improve its VLA autonomous driving system to match the performance of Tesla’s FSD V14.2 within China by August 30, 2026. Xpeng is poised to release its VLA 2.0 smart driving software next quarter, though He cautioned that the initial version will not be able to match FSD V14.2’s capabilities, as noted in a CNEV Post report.

He also added a personal twist to the goal, publicly challenging Xpeng’s autonomous driving team. If the performance target is met by the 2026 deadline, the CEO stated that he will approve the creation of a Chinese-style cafeteria for Xpeng’s Silicon Valley team. If not, Liu Xianming, head of Xpeng’s autonomous driving unit, has pledged to run naked across the Golden Gate Bridge, He noted.

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Another Tesla Model 3 variant sold out for January 2026 in China

A look at Tesla China’s order page shows that new Model 3 LR RWD orders now have an estimated delivery date of February 2026.

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Credit: Tesla Asia/X

Another Tesla Model 3 variant in China appears to have sold out for January 2026, with the vehicle now showing an estimated delivery date of February 2026 for new orders. This bodes well for the all-electric sedan, which has maintained notable sales despite more affordable rivals like the Xiaomi SU7 and its crossover sibling, the Model Y. 

Model 3 LR RWD joins February 2026 queue

A look at Tesla China’s order page for the all-electric sedan shows that new Model 3 Long Range Rear Wheel Drive orders now have an estimated delivery date of February 2026. Priced from RMB 259,500 ($36,810), the LR RWD sits as the second-lowest-priced trim in Tesla China’s four-variant Model 3 lineup. The move follows a similar delivery timeframe for the Model 3 Performance, which remains the most expensive option for the vehicle, as noted in a CNEV Post report.

The estimated delivery dates of the two remaining Model 3 variants remain unchanged for now. The base RWD version, starting at RMB 235,500, and the LR AWD variant, priced from RMB 285,500, both continue to list estimated delivery times of 4-6 weeks. Tesla China, for its part, has continued to list in-stock Model 3 vehicles and is actively encouraging buyers to select inventory units for delivery before the end of the year.

Model Y delays and policy shifts

Delivery timelines for the Model Y in China are also stretching into 2026. All customized Model Y variants now show February 2026 as their estimated delivery date, except for the entry-level version, which still lists January 2026. Tesla has been urging customers since November to prioritize purchasing inventory vehicles, a push aimed at maximizing year-end deliveries.

Timing matters for Chinese buyers due to upcoming changes in government incentives. China’s new energy vehicle purchase tax exemption will be scaled back in 2026, which means customers who take delivery next year could face higher tax costs compared to those who are able to receive vehicles before the end of the year.

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As per data from the China Passenger Car Association, Tesla recorded retail sales of 73,145 vehicles in November, down 0.47% year over year. From January through November, Tesla’s retail sales in China totaled 531,855 units, a 7.37% year-over-year drop.

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Wedbush’s Dan Ives sees ‘monster year’ ahead for Tesla amid AI push

In a post on X, the analyst stated that the electric vehicle maker could hit a $3 trillion market cap by the end of 2026 in a bullish scenario.

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Credit: Grok Imagine

Wedbush analyst Dan Ives is doubling down on Tesla’s (NASDAQ:TSLA) long-term upside. In a post on X, the analyst stated that the electric vehicle maker could hit a $3 trillion market cap by the end of 2026 in a bullish scenario, thanks to the company’s efforts to develop and push its artificial intelligence programs. 

An aggressive valuation upside

Ives, Wedbush’s global head of tech research, stated in his post that Tesla is entering a pivotal period as its autonomy and robotics ambitions move closer to commercialization. He expects Tesla’s market cap to reach $2 trillion in 2026, representing roughly 33% upside from current levels, with a bull case up to a $3 trillion market cap by year-end.

Overall, Ives noted that 2026 could become a “monster year” for TSLA. “Heading into 2026, this marks a monster year ahead for Tesla/Musk as the autonomous and robotics chapter begins.  We believe Tesla hits a $2 trillion market cap in 2026 and in a bull case scenario $3 trillion by end of 2026… as the AI chapter takes hold at TSLA,” the analyst wrote

Ives also reiterated his “Outperform” rating on TSLA stock, as well as his $600 per share price target.

Unsupervised Full-Self Driving tests

Fueling optimism is Tesla’s recent autonomous vehicle testing in Austin, Texas. Over the weekend, at least two Tesla Model Ys were spotted driving on public roads without a safety monitor or any other occupants. CEO Elon Musk later confirmed the footage of one of the vehicles on X, writing in a post that “testing is underway with no occupant in the car.” 

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It remains unclear whether the vehicle was supported by chase cars or remote monitoring, and Tesla has not disclosed how many vehicles are involved. That being said, Elon Musk stated a week ago that Tesla would be removing its Safety Monitors from its vehicles “within the next three weeks.” Based on the driverless vehicles’ sightings so far, it appears that Musk’s estimate may be right on the mark, at least for now. 

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