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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
SpaceX wants to catch Starship for launch 14, Elon Musk says
Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
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Tesla to open source Model S and Model X designs and software
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
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Tesla flexes incredible Robotaxi metric that skeptics will hate
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.