News
Tesla provides details on recent Autopilot crash amid NHTSA investigation
Tesla has released its findings about the recent Model S Autopilot crash in South Jordan, Utah. The accident, which involved a Model S crashing into a parked firetruck at 60 mph last Friday, is currently under investigation by the NHTSA. The driver of the Model S, a 28-year-old Lehi woman who escaped the collision with a broken ankle, later stated that the car had been on Autopilot when the accident happened.
Technicians from the electric car company have issued their findings after retrieving the vehicle’s logs. Here are the conclusions from Tesla’s report.
- The driver engaged Autosteer and Traffic Aware Cruise Control on multiple occasions during this drive cycle. She repeatedly canceled and then re-engaged these features, and regularly adjusted the vehicle’s cruising speed.
- Drivers are repeatedly advised Autopilot features do not make Tesla vehicles “autonomous” and that the driver absolutely must remain vigilant with their eyes on the road, hands on the wheel and they must be prepared to take any and all action necessary to avoid hazards on the road.
- The vehicle registered more than a dozen instances of her hands being off the steering wheel in this drive cycle. On two such occasions, she had her hands off the wheel for more than one minute each time and her hands came back on only after a visual alert was provided. Each time she put her hands back on the wheel, she took them back off the wheel after a few seconds.
- About 1 minute and 22 seconds before the crash, she re-enabled Autosteer and Cruise Control, and then, within two seconds, took her hands off the steering wheel again. She did not touch the steering wheel for the next 80 seconds until the crash happened; this is consistent with her admission that she was looking at her phone at the time.
- The vehicle was traveling at about 60 mph when the crash happened. This is the speed the driver selected.
- The driver manually pressed the vehicle brake pedal fractions of a second prior to the crash.
- Contrary to the proper use of Autopilot, the driver did not pay attention to the road at all times, did not keep her hands on the steering wheel, and she used it on a street with no center median and with stoplight-controlled intersections.
In a statement to the Deseret News, South Jordan Police Sgt. Sam Winkler stated that the driver of the electric car had been looking at her smartphone because she was searching for an alternate route.
“She looked up just as the accident was about to happen,” Winkler said.
Police have issued the Model S driver with a traffic citation due to her “failure to keep a proper lookout.” The citation was issued to the Model S driver this Wednesday.
The NHTSA has opened an investigation on the accident on Wednesday as well. In an emailed statement to CNBC News, the NHTSA noted that it is deploying a special investigation team to gather information about the accident.
“Consistent with NHTSA’s oversight and authority over the safety of all motor vehicles and equipment, the agency has launched its special crash investigations team to gather information on the South Jordan, Utah, crash. NHTSA will take appropriate action based on its review,” the NHTSA wrote.
-
- The aftermath of the Tesla Model S crash in Utah. [Credit: Good4Utah News]
-
- The aftermath of the Tesla Model S crash in Utah. [Credit: Good4Utah News]
-
- The aftermath of the Tesla Model S crash in Utah. [Credit: Good4Utah News]
Tesla CEO Elon Musk has commented on the crash through his personal Twitter account, stating that what’s noteworthy about the accident was that the driver of the vehicle only broke an ankle despite crashing into a firetruck at 60 mph. Musk noted that such accidents at such speeds “usually result in severe injury or death.” In a later tweet, however, Musk stated that Autopilot does need to get better.
It certainly needs to be better & we work to improve it every day, but perfect is enemy of good. A system that, on balance, saves lives & reduces injuries should be released.
— Elon Musk (@elonmusk) May 14, 2018
Tesla’s Autopilot system is a focal point of an ongoing NTSB investigation about a Model X crash near Mountain View, CA. During that incident, the Model X smashed into a bare crash attenuator while traveling at highway speeds, resulting in the tragic loss of its driver. Tesla and the NTSB ultimately parted ways as the investigation proceeded, mainly due to the electric car maker’s release of data pertaining to the crash before the NTSB’s investigation was complete.
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
