Tesla, Volvo, Cadillac, Lexus, and Navya are five car companies under investigation by the National Highway Transportation Safety Administration (NHTSA) for crashes that occurred while Advanced Driver Assistance Systems were activated, the agency said.
The NHTSA released a list of 36 total accidents that occurred in the United States, dating back as far as June 2016. Of the 36 accidents, 30 of them involve Tesla vehicles. Not all of the Teslas listed were utilizing Autopilot, however. Three of the Teslas listed have their cases described as “Electric Vehicle – Not in Autopilot,” according to the list that the NHTSA provided to Teslarati. Additionally, one incident hasn’t been confirmed of whether a Tesla Model S utilized Autopilot during the time of its crash. Five accidents are listed as “More Over Law Special Study,” while one is listed as “Heavy Truck Underride.”
The NHTSA did not provide a statement.
Tesla’s Autopilot systems, despite being proven through statistics to make vehicles nearly 10 times less likely to be involved in an accident compared to a human driver, are still widely considered controversial by many who have not experienced the system. Autopilot is not fully autonomous, and Tesla has never claimed that its vehicles should be operated without the driver paying attention to road conditions or surroundings. However, the company has implemented several safety features to ensure that drivers are paying attention during the use of Autopilot or the Full Self-Driving suite.
On the list are several notable accidents that are recent. One involves the Model S crash in Texas that killed two after catching fire. The NHTSA already performed a preliminary investigation on the accident and determined that Autosteer could not have be engaged where the accident took place.
The NHTSA said:
“The vehicle was equipped with Autopilot, Tesla’s advanced driver assistance system. Using Autopilot requires both the Traffic-Aware Cruise Control and the Autosteer systems to be engaged. 2 NTSB tests of an exemplar car at the crash location showed that Traffic-Aware Cruise Control could be engaged but that Autosteer was not available on that part of the road.”
Another accident, which was listed as “Heavy Truck Underride,” involved a Model Y in Detroit. Despite the local Police department stating that reckless driving was the likely cause of the crash, the NHTSA is still investigating the accident.
Tesla Model Y crash in Detroit likely caused by reckless driving, not Autopilot: police
Volvo is among the other manufacturers on the list, with a March 2017 and a March 2018 accident involving its XC90. The 2017 accident resulted in minor injuries, while the 2018 incident was fatal to the passenger. The XC90 was utilizing ADAS during both accidents, the NHTSA chart says. The Lexus RH450H, the Cadillac CT6 (listed twice), and the Navya Arma were also all listed with ADAS case types, but all of these vehicles had no injuries due to the accidents.
Update: Volvo reached out to Teslarati and indicated that both of their investigations were from Uber test vehicle incidents. The company told us:
“It’s important to note that, to the best of our knowledge, both lines in the NHTSA chart marked as ”XC90” are Uber test vehicle incidents. At the time of the fatal incident, Volvo’s automatic emergency braking system was deactivated for Uber’s testing purposes.”
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
