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
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
