The U.S. may place a ban on Chinese software in self-driving and connected vehicles, with the Biden administration expected to propose such rules in the coming weeks.
According to a report from Reuters citing sources briefed on the matter, the U.S. Commerce Department is looking to propose banning Chinese software in autonomous and connected vehicles this month. The rule would ban any Chinese software in U.S. vehicles with Level 3 or higher autonomous capabilities, effectively banning self-driving tests for companies from China.
Level 3 autonomous driving would allow drivers to take their focus off the road and even perform other activities unless otherwise prompted to take over driving by the vehicle. The sources also say the rule would require automakers and suppliers to confirm to regulators that their connected vehicle and Level 3 software platforms weren’t developed in a “foreign entity of concern,” such as China.
On Sunday, a spokesperson from the Commerce Department said the agency was “concerned about the national security risks associated with connected technologies in connected vehicles.”
Chinese self-driving developer reportedly files for IPO in the US
The rule is expected to come from the department’s Bureau of Industry and Security, and the department says that the requirement “will focus on specific systems of concern within the vehicle,” adding that “industry will also have a chance to review that proposed rule and submit comments.”
The Commerce Department initially said last month that it was considering imposing certain limits on some Chinese software, as well as those from other countries considered adversaries.
“Only division of labor and cooperation can bring mutual benefits, and only fair competition can bring technological progress,” said a spokesperson from the Chinese embassy in Washington D.C. in response to the expected proposal “China urges the U.S. to earnestly abide by market principles and international trade rules, and create a level playing field for companies from all countries. China will firmly defend its lawful rights and interests.”
Last Wednesday, the White House and State Department held a meeting with officials from around the world to “jointly address the national security risks associated with connected vehicles,” according to the department. The meeting also included details about the administration’s plans to propose the rule.
The conference included officials from the U.S., Canada, Australia, the European Union (EU), the United Kingdom (UK), Germany, Spain, India, South Korea, and Japan, who “exchanged views on the data and cybersecurity risks associated with connected vehicles and certain components.”
The topic of national security risks surrounding connected vehicles has been around for quite some time, with a group of legislators last November bringing forward concerns that Chinese companies could collect and misuse sensitive data in autonomous vehicle tests.
“The national security risks are quite significant,” said Gina Raimondo, Commerce Secretary, in a statement in May. “We decided to take action because this is really serious stuff.”
The news comes after the U.S. increased tariffs on Chinese electric vehicles (EVs) in May, in order to stave off cheap competitors to U.S.-built products. The EU lodged also launched tariffs on Chinese EVs last month, and Canada is considering similar legislation.
It also comes as multiple companies have gained approval to test autonomous driving tech in China, including domestic makers Nio, BYD, Changan Auto, GAC, SAIC, BAIC BluePark, China FAW Group, SAIC Hongyan, and Yutong Bus. Over the weekend, Mercedes-Benz became the first foreign company to gain approval for Level 4 autonomous driving tests in China, and Tesla is expected to gain full approval for its Full Self-Driving (FSD) Supervised later this year.
Tesla China to test 10 FSD vehicles ahead of expected public rollout: report
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
News
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, 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 also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.