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Mozilla Foundation dubs Tesla, Nissan, and fellow modern cars a “privacy nightmare”
A report published by the Mozilla Foundation has claimed that cars are the “worst category of products for privacy” that the firm has ever reviewed. As noted by Mozilla, out of 25 car brands that it studied, none made the cut. Tesla, arguably the most software-focused carmaker today, was singled out by the firm for its “untrustworthy AI.”
Mozilla noted that automakers today, if one were to closely look at their privacy policies, collect a lot of data. The firm noted that every single one of the 25 car brands that it studied collected more personal data than necessary. Around 84% of the carmakers also share or sell customer data, and 92% give drivers little to no control over their personal data.
Specifically, Mozilla studied Renault, Dacia, BMW, Subaru, Fiat, Jeep, Chrysler, Dodge, Volkswagen, Toyota, Lexus, Ford, Lincoln, Audi, Mercedes-Benz, Honda, Acura, Kia, Chevrolet, Buick, GMC, Cadillac, Hyundai, Nissan, and Tesla. Among these, Mozilla called out Tesla and Nissan for data privacy policies that are reportedly alarming.
As noted by Mozilla, Tesla is actually not too bad when it comes to its privacy policies. The company, for one, does not sell or rent personal information to third parties. Tesla also gives owners the choice of whether they wish to share their personal information with third parties or not. Mozilla, however, took issue with Tesla’s warning that customers who opt out of vehicle connectivity could have a car that’s unusable.
“If you no longer wish for us to collect vehicle data or any other data from your Tesla vehicle, please contact us to deactivate connectivity. Please note, certain advanced features such as over-the-air updates, remote services, and interactivity with mobile applications, and in-car features such as location search, Internet radio, voice commands, and web browser functionality rely on such connectivity.
“If you choose to opt out of vehicle data collection (with the exception of in-car Data Sharing preferences), we will not be able to know or notify you of issues applicable to your vehicle in real time. This may result in your vehicle suffering from reduced functionality, serious damage, or inoperability,” Tesla’s privacy notice read.
Nissan, for its part, is reportedly worse, Mozilla noted. The firm noted that in the Nissan USA privacy notice, the automaker makes references to some strange policies. In the “Types of Personal Data collected” section of the page, for one, Nissan noted that things such as “citizenship status, immigration status, race, national origin, religious or philosophical beliefs, sexual orientation, sexual activity, and genetic information” are collected.
Nissan also noted that the company could share and sell “inferences drawn from any Personal Data collected to create a profile about a consumer reflecting the consumer’s preferences, characteristics, psychological trends, predispositions, behavior, attitudes, intelligence, abilities, and aptitudes” to other parties for targeted marketing purposes.
“Nissan earned its second-to-last spot for collecting some of the creepiest categories of data we have ever seen. It’s worth reading the review in full, but you should know it includes your ‘sexual activity.’ Not to be outdone, Kia also mentions they can collect information about your ‘sex life’ in their privacy policy. Oh, and six car companies say they can collect your ‘genetic information’ or ‘genetic characteristics.’ Yes, reading car privacy policies is a scary endeavor,” the Mozilla Foundation noted.
The Mozilla Foundation noted that Nissan is probably the worst car company that it has reviewed with regards to privacy. However, in the firm’s rankings, it opted to put Tesla at the bottom of the list, below Nissan. This, according to Mozilla, was because Tesla also received marks for having “untrustworthy AI,” which is connected to Autopilot.
“Tesla is only the second product we have ever reviewed to receive all of our privacy ‘dings.’ (The first was an AI chatbot we reviewed earlier this year.) What set them apart was earning the ‘untrustworthy AI’ ding. The brand’s AI-powered Autopilot was reportedly involved in 17 deaths and 736 crashes and is currently the subject of multiple government investigations,” the foundation noted.
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News
Tesla Model 3 gets perfect 5-star Euro NCAP safety rating
Tesla prides itself on producing some of the safest vehicles on the road today.

Tesla prides itself on producing some of the safest vehicles on the road today. Based on recent findings from the Euro NCAP, the 2025 Model 3 sedan continues this tradition, with the vehicle earning a 5-star overall safety rating from the agency.
Standout Safety Features
As could be seen on the Euro NCAP’s official website, the 2025 Model 3 achieved an overall score of 90% for Adult Occupants, 93% for Child Occupants, 89% for Vulnerable Road Users, and 87% for Safety Assist. This rating, as per the Euro NCAP, applies to the Model 3 Rear Wheel Drive, Long Range Rear Wheel Drive, Long Range All Wheel Drive, and Performance All Wheel Drive.
The Euro NCAP highlighted a number of the Model 3’s safety features, such as its Active Hood, which automatically lifts during collisions to mitigate injury risks to vulnerable road users, and Automatic Emergency Braking System, which now detects motorcycles through an upgraded algorithm. The Euro NCAP also mentioned the Model 3’s feature that prevents initial door opening if someone is approaching the vehicle’s blind spot.
Standout Safety Features
In a post on its official Tesla Europe & Middle East account, Tesla noted that the company is also introducing new features that make the Model 3 even safer than it is today. These include functions like head-on collision avoidance and crossing traffic AEB, as well as Child Left Alone Detection, among other safety features.
“We also introduced new features to improve Safety Assist functionality even further – like head-on collision avoidance & crossing traffic AEB – to detect & respond to potential hazards faster, helping avoid accidents in the first place.
“Lastly, we released Child Left Alone Detection – if an unattended child is detected, the vehicle will turn on HVAC & alert caregivers via phone app & the vehicle itself (flashing lights/audible alert). Because we’re using novel in-cabin radar sensing, your Tesla is able to distinguish between adult vs child – reduced annoyance to adults, yet critical safety feature for kids,” Tesla wrote in its post on X.
Below is the Euro NCAP’s safety report on the 2025 Tesla Model 3 sedan.
Euroncap 2025 Tesla Model 3 Datasheet by Simon Alvarez on Scribd
Elon Musk
USDOT Secretary visits Tesla Giga Texas, hints at national autonomous vehicle standards
The Transportation Secretary also toured the factory’s production lines and spoke with CEO Elon Musk.

United States Department of Transportation (USDOT) Secretary Sean Duffy recently visited Tesla’s Gigafactory Texas complex, where he toured the factory’s production lines and spoke with CEO Elon Musk. In a video posted following his Giga Texas visit, Duffy noted that he believes there should be a national standard for autonomous vehicles in the United States.
Duffy’s Giga Texas Visit
As could be seen in videos of his Giga Texas visit, the Transportation Secretary seemed to appreciate the work Tesla has been doing to put the United States in the forefront of innovation. “Tesla is one of the many companies helping our country reach new heights. USDOT will be right there all the way to make sure Americans stay safe,” Duffy wrote in a post on X.
He also praised Tesla for its autonomous vehicle program, highlighting that “We need American companies to keep innovating so we can outcompete the rest of the world.”
National Standard
While speaking with Tesla CEO Elon Musk, the Transportation Secretary stated that other autonomous ride-hailing companies have been lobbying for a national standard for self-driving cars. Musk shared the sentiment, stating that “It’d be wonderful for the United States to have a national set of rules for autonomous driving as opposed to 50 independent sets of rules on a state-by-state rules basis.”
Duffy agreed with the CEO’s point, stating that, “You can’t have 50 different rules for 50 different states. You need one standard.” He also noted that the Transportation Department has asked autonomous vehicle companies to submit data. By doing so, the USDOT could develop a standard for the entire United States, allowing self-driving cars to operate in a manner that is natural and safe.
News
Tesla posts Optimus’ most impressive video demonstration yet
The humanoid robot was able to complete all the tasks through a single neural network.

When Elon Musk spoke with CNBC’s David Faber in an interview at Giga Texas, he reiterated the idea that Optimus will be one of Tesla’s biggest products. Seemingly to highlight the CEO’s point, the official Tesla Optimus account on social media platform X shared what could very well be the most impressive demonstration of the humanoid robot’s capabilities to date.
Optimus’ Newest Demonstration
In its recent video demonstration, the Tesla Optimus team featured the humanoid robot performing a variety of tasks. These include household chores such as throwing the trash, using a broom and a vacuum cleaner, tearing a paper towel, stirring a pot of food, opening a cabinet, and closing a curtain, among others. The video also featured Optimus picking up a Model X fore link and placing it on a dolly.
What was most notable in the Tesla Optimus team’s demonstration was the fact that the humanoid robot was able to complete all the tasks through a single neural network. The robot’s actions were also learned directly from Optimus being fed data from first-person videos of humans performing similar tasks. This system should pave the way for Optimus to learn and refine new skills quickly and reliably.
Tesla VP for Optimus Shares Insight
In a follow-up post on X, Tesla Vice President of Optimus (Tesla Bot) Milan Kovac stated that one of the team’s goals is to have Optimus learn straight from internet videos of humans performing tasks, including footage captured in third person or by random cameras.
“We recently had a significant breakthrough along that journey, and can now transfer a big chunk of the learning directly from human videos to the bots (1st person views for now). This allows us to bootstrap new tasks much faster compared to teleoperated bot data alone (heavier operationally).
“Many new skills are emerging through this process, are called for via natural language (voice/text), and are run by a single neural network on the bot (multi-tasking). Next: expand to 3rd person video transfer (aka random internet), and push reliability via self-play (RL) in the real-, and/or synthetic- (sim / world models) world,” Kovac wrote in his post on X.
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