Tesla’s Autopilot probe being carried out by the National Highway Traffic Safety Administration (NHTSA) has expanded following a Model 3 crash in Orlando, Florida, that occurred last weekend.
In mid-August, the NHTSA launched an investigation involving eleven instances of Tesla electric cars crashing into emergency vehicles. The vehicles were operating on Autopilot, according to the investigations, but there is some evidence that some vehicles involved in the eleven accidents were not being properly operated under Tesla’s Autopilot operational standards, which require drivers to remain in control of the vehicle. Two of the accidents resulted in arrests for driving under the influence of alcohol, while another driver was operating the car on a suspended license.
Nevertheless, the NHTSA has made it clear that it will investigate each of these instances to determine whether the Level 2 ADAS system was responsible for the accidents. All four currently available Tesla models are under investigation: Model 3s from 2017-2021, Model S vehicles from 2014-2021, Model X vehicles from 2015-2021, and Model Ys from 2019-2021.
The investigation is now expanding from eleven to twelve accidents after a motorist struck a Florida Highway Patrol vehicle during the early morning hours of Saturday, August 28th. The Highway Patrol officer was pulled over on the side of the road to assist a disabled vehicle, but his car was struck by a Model 3 operating on Autopilot. The driver stated the vehicle was utilizing Autopilot at the time of the accident.
The driver of the Model 3 and the occupant of the disabled vehicle were both reported as having minor injuries. The FHP officer was unharmed.
NHTSA launches Tesla Autopilot investigation over crashes with emergency vehicles
A new letter released this morning and obtained by Teslarati indicates that the Orlando accident is the most recent addition to the Autopilot investigation. An accident in San Diego that occurred on July 10th is the second-most recent occurrence.
The NHTSA writes in the letter to Tesla Field Quality Director Eddie Gates:
“This letter is to inform you that the Office of Defects Investigation (ODI) of the National Highway Traffic Safety Administration (NHTSA) has opened a Preliminary Evaluation (PE21-020) to investigate crashes involving first responder scenes and vehicles manufactured by Tesla, Inc. (Tesla) that were operating in either Autopilot or Traffic Aware Cruise Control leading up to the incident, and to request certain information.
This office is aware of twelve incidents where a Tesla vehicle operating in either Autopilot or Traffic Aware Cruise Control struck first responder vehicles / scenes, leading to injuries and vehicle damage. In each case, NHTSA has reviewed the incidents with Tesla. A list of the twelve incidents has been included for reference.”
The NHTSA is requesting significant information regarding each of the vehicles involved in the twelve incidents, including: Vehicle identification number (VIN); b. Model; c. Model Year; d. Subject component trade / trim name, part number and design version installed as original equipment; including: Software version; Firmware version; Hardware version; Date of manufacture; Date warranty coverage commenced; Date and mileage at which the “Full Self Driving” (FSD) option was enabled; The State in the United States where the vehicle was originally sold or leased (or delivered for sale or lease); Latest known vehicle mileage and commensurate date; Cumulative mileage covered with the subject system engaged; and Date and identities of the most recent software, firmware, and hardware updates.
Tesla is required to respond with the information by Friday, October 22nd, 2021, or it could have fines of up to nearly $115 million.
What do you think? Let us know in the comments below, or be sure to email me at joey@teslarati.com or on Twitter @KlenderJoey.
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
