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Tesla defends its right to release individual driver data to disprove claims
During a week in which the House of Representatives voted to repeal Obama era Internet privacy protections, Tesla has come under fire from owners who dispute the all-electric carmaker’s right to disclose individual driver data to the media while also failing to share that data with the drivers themselves.
A pattern of Tesla public data dissemination has occurred after accidents in which Tesla vehicles have had automation software engaged. Tesla vehemently stands behind the safety and reliability of its cars, citing how its “Autopilot has been shown to save lives and reduce accident rates.” That comment came as result of a request from The Guardian. In explanation as to why Tesla releases individual driver information to the media, the Tesla spokesperson added, “We believe it is important that the public have a factual understanding of our technology.”
It is important to note that, in a famous case in which a Tesla Model S was the subject of serious scrutiny following a driver’s death after colliding with a truck while the driver-assist feature was engaged, the U.S. National Highway Traffic Safety Administration issued a report of no fault on Tesla’s part. Indeed the report stated that “Tesla vehicles crash rate dropped by almost 40 percent after Autosteer installation.”
What’s being contested here then? Several things, actually. Tesla feels it has an explicit corporate need to stand behind its driving-assist Autopilot technology through public disclosures of individual driving data when a crash occurs. Individual Tesla drivers, on the other hand, express a desire to maintain the right to information privacy regarding their driving performance. And, while Tesla has disseminated individual driver information to the media following Tesla crashes involving its Autopilot system, it continues to deny data sharing with individual customers. Moreover, the company does not follow the commonly accepted research practice of gaining permissions from study participants prior to including them in a data set.
And now some Tesla owners are fired up.
The technology available within a Tesla can provide information about the location of a driver’s hands on the steering wheel, if and when a driver’s door opens, and, importantly, the engagement and performance levels of autonomous technology. Tesla insists that it only releases specific driver data to the media when information has been misrepresented to the public.
Tesla crashes always seem to catch media attention. After a fatal early morning Tesla Model S crash in Indianapolis, a distraught dad claimed that his daughter would still be alive if she had been driving any other car but a Tesla. In a Baarn, Netherlands accident in which a Tesla Model S collided at high speed with a tree and killed the driver, Tesla investigated alongside local authorities. Uncertain as to whether Tesla’s Autopilot feature was engaged, the company said at the time it would analyze data collected through vehicle recovery procedures and “ share it with the public” once reports became final. In 2016, the first crash in China involving a Tesla operating in Autopilot mode caused a great deal of consternation. And a driver of a Model X that crashed along a trek to Yellowstone in Montana posted an open letter to Elon Musk and Tesla, asking the company to “take responsibility for the mistakes of Tesla products” and accusing Tesla of using drivers as “lab rats” for testing of its Autopilot system.
It is that dehumanization of Tesla drivers which has suddenly come to the forefront. Yes, as in all vehicular incidents, various factors come into play, especially driver error: physical (tired), emotional (angry), psychological (confused), or intellectual (distracted) factors occur when a person gets behind the wheel. But that’s not what is at issue in the case of drivers’ rights to information privacy when they engage technology applications. Is driving a personal act, a type of agency for which the driver assumes all responsibility? And, if all research institutions are required to acquire ethical consent from participants, why is Tesla absolved of such responsibility? The answers to these questions will continue to evolve as technology advances at amazing speeds.
In the upcoming age of self-driving cars, every touch screen signal is transmitted to the cloud as an immediate extension of a car’s functionality. A year ago, at a Congressional hearing about driverless cars, Massachusetts Senator Ed Markey questioned over and over whether driverless car manufacturers would assume a minimum standard for consumer privacy protection. None of the constituents present answered his question.
And now, with the U.S. Congress clearly opposed to internet privacy protections, will the public — Tesla drivers included — give up the fight? Will it be “the classic politics of resignation,” as Lawrence Lessig, a Harvard law professor, asserts? He says, “Most people… pick fights they know they can convince people they can win.” It’s an era in which the U.S. Presidential transition team members, according to Politico, had to sign non-disclosure agreement to make certain they keep all of their work confidential. Tesla, too, likes to keep internal information quiet, yet California lawmakers sent a letter to Tesla in January, 2017 asking the company to loosen its employee confidentiality agreement.
Major institutions want their information kept inside closed doors. Can drivers claim the right to privacy of what will become ubiquitous self-driving technology information systems of the future?
A Tesla spokesperson says the following in regards to the release of individual driver data:
“In unusual cases in which claims have already been made publicly about our vehicles by customers, authorities or other individuals, we have released information based on the data to either corroborate or disprove these claims. The privacy of our customers is extremely important and something we take very seriously, and in such cases, Tesla discloses only the minimum amount of information necessary… [We] transfer and disclose information, including personal and non-personally identifiable information … to protect the rights, property, safety, or security of the Services, Tesla, third parties, visitors to our Services, or the public, as determined by us in our sole discretion.”
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.”
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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
