News
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
Grok coming to Tesla vehicles next week “at the latest:” Elon Musk
Grok’s rollout to Tesla vehicles is expected to begin next week at the latest.

Elon Musk announced on Thursday that Grok, the large language model developed by his startup xAI, will soon be available in Tesla vehicles. Grok’s rollout to Tesla vehicles is expected to begin next week at the latest, further deepening the ties between the two Elon Musk-led companies.
Tesla–xAI synergy
Musk confirmed the news on X shortly after livestreaming the release of Grok 4, xAI’s latest large language model. “Grok is coming to Tesla vehicles very soon. Next week at the latest,” Musk wrote in a post on social media platform X.
During the livestream, Musk and several members of the xAI team highlighted several upgrades to Grok 4’s voice capabilities and performance metrics, positioning the LLM as competitive with top-tier models from OpenAI and Google.
The in-vehicle integration of Grok marks a new chapter in Tesla’s AI development. While Tesla has long relied on in-house systems for autonomous driving and energy optimization, Grok’s integration would introduce conversational AI directly into its vehicles’ user experience. This integration could potentially improve customer interaction inside Tesla vehicles.
xAI and Tesla’s collaborative footprint
Grok’s upcoming rollout to Tesla vehicles adds to a growing business relationship between Tesla and xAI. Earlier this year, Tesla disclosed that it generated $198.3 million in revenue from commercial, consulting, and support agreements with xAI, as noted in a report from Bloomberg News. A large portion of that amount, however, came from the sale of Megapack energy storage systems to the artificial intelligence startup.
In July 2023, Musk polled X users about whether Tesla should invest $5 billion in xAI. While no formal investment has been made so far, 68% of poll participants voted yes, and Musk has since stated that the idea would be discussed with Tesla’s board.
News
Tesla Robotaxi to expand Austin coverage, Bay Area launch targeted in coming months
Tesla is looking at the San Francisco Bay Area as the next location for its Robotaxi service.

Tesla is preparing to expand its Robotaxi pilot program in Austin, Texas, with the self-driving service set to cover a larger portion of the city this weekend. The CEO shared the update in a post on social media platform X, where he also noted that the company is currently looking at the San Francisco Bay Area as the location for Tesla’s next Robotaxi pilot.
Tesla’s growing Robotaxi pilot
Tesla’s Robotaxi service first launched in Austin last month as a test program. While the vehicles operate without a human in the driver’s seat, a Tesla employee currently rides in the front passenger seat to monitor vehicle performance. Responses to Tesla’s Robotaxi pilot are quite positive, with some users praising the vehicles for their smooth and comfortable rides.
In a later post on X, Musk also stated that Tesla is in the process of seeking regulatory approval to begin operating robotaxis in the Bay Area, adding that a launch there could happen within “a month or two.” The California expansion would be a notable milestone for Tesla, considering its roots in the state.
Robotaxi is key to Tesla’s long-term growth
Autonomous driving remains central to Tesla’s long-term vision. Musk has consistently framed Robotaxis as a future driver of profitability and growth, particularly as EV sales face headwinds across multiple regions. In a way, the expansion of Tesla’s autonomous fleet is expected to play a critical role in differentiating the company’s offerings in a crowded electric vehicle market.
Tesla has yet to specify when the Robotaxi service will transition out of its testing phase or how it plans to monetize the platform, as the company is only charging a flat fee of $4.20 per ride in its Austin pilot program today. However, its growing geographic footprint suggests the company is steadily progressing toward wider deployment.
Elon Musk
xAI launches Grok 4 with new $300/month SuperGrok Heavy subscription
xAI also introduced SuperGrok Heavy, which is priced at $300 per month.

xAI, the artificial intelligence company founded by Elon Musk, has officially launched its latest flagship models, Grok 4 and Grok 4 Heavy. Alongside the release, the company introduced its most premium subscription tier to date, SuperGrok Heavy, which is priced at $300 per month and targeted at power users and developers.
Grok 4 is designed to compete with top-tier AI models like OpenAI’s ChatGPT and Google’s Gemini. As per xAI, Grok 4 demonstrates frontier-level performance across several benchmark evaluations.
On Humanity’s Last Exam, an extensive test designed to evaluate general knowledge, Grok 4 scored 25.4% without using external tools, outperforming OpenAI’s o3 (high), which scored 21%, and Gemini 2.5 Pro, which scored 21.6%.
When equipped with tools, Grok 4 Heavy scored 44.4%, making it the top-performing model in that category. For context, Gemini 2.5 Pro with tools scored 26.9%, as noted in a TechCrunch report.
xAI also highlighted Grok 4 Heavy’s “multi-agent” system, which enables multiple instances of the model to solve a problem in parallel and compare answers, similar to a study group. This collaborative approach is intended to improve both reasoning and accuracy in complex tasks.
The company also shared results from the ARC-AGI-2 benchmark, where Grok (Thinking) achieved new state of the art (SOTA) score on the test with 15.9%. As per Arc Prize in a post on X, this score is “nearly double(s) the previous commercial SOTA and tops the current Kaggle competition SOTA.”
The $300/month SuperGrok Heavy plan grants users early access to Grok 4 Heavy, as well as upcoming product features. Upcoming capabilities that are planned for release in the coming months include an AI coding model in August, a multi-modal agent in September, and a video generation system in October.
Grok 4 and Grok 4 Heavy are available via API as part of xAI’s push to engage developers and enterprise users. The company’s enterprise platform, which launched just two months ago, will also expand via partnerships with cloud hyperscalers to bring Grok models to broader infrastructure environments.
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