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Mozilla Foundation dubs Tesla, Nissan, and fellow modern cars a “privacy nightmare”

Credit: Tesla Asia/Twitter

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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. 

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“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. 

Credit: Mozilla Foundation

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. 

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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. 

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads-up. 

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Elon Musk

Elon Musk’s last manually driven Tesla will do something no other production car will do

Elon Musk confirmed the Roadster as Tesla’s last manually driven car, with a debut coming soon.

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Tesla Roadster driving along sunset cliff (Credit: Grok)

During Tesla’s Q1 2026 earnings call on April 22, Elon Musk made a brief but notable comment about the long-awaited next generation Roadster while describing Tesla’s future vehicle lineup. “Long term, the only manually driven car will be the new Tesla Roadster,” he said. “Speaking of which, we may be able to debut that in a month or so. It requires a lot of testing and validation before we can actually have a demo and not have something go wrong with the demo.”

That single statement is the entire Roadster update from yesterday’s call, and while it represents another timeline shift, it comes as no surprise with Tesla heads-down-at-work on the mass rollout of its Robotaxi service across US cities, and the industrial scale production of the humanoid Optimus.

The fact that Musk specifically framed the Roadster as the last manually driven Tesla is significant on its own. As the rest of the lineup moves toward full autonomy, the Roadster becomes something rare in the Tesla-sphere by keeping the driver in control. Driving enthusiasts who buy a $200,000 supercar are not doing so to be passengers. They want the physical connection to the road, the feel of acceleration under their own input, and the experience of controlling something with that level of performance. FSD, however capable it becomes, removes that entirely. The Roadster signals that Tesla understands this distinction and is building a car specifically for the people who consider driving itself the point.

Tesla isn’t joking about building Optimus at an industrial scale: Here we go

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The specs for the Roadster Musk has teased over the years are genuinely unlike anything in production. The base model targets 0 to 60 mph in 1.9 seconds, a top speed above 250 mph, and up to 620 miles of range from a 200 kWh battery. The optional SpaceX package takes it further, rumored to add roughly ten cold gas thrusters operating at 10,000 psi, borrowed directly from Falcon 9 rocket technology. With thrusters, Musk has claimed 0 to 60 mph in as little as 1.1 seconds. In a 2021 Joe Rogan interview he went further, stating “I want it to hover. We got to figure out how to make it hover without killing people.” Tesla filed a patent for ground effect technology in August 2025, suggesting the hover concept has not been abandoned. The starting price remains $200,000, with the Founders Series requiring a $250,000 full deposit. Some reservation holders placed those deposits in 2017 and are approaching a full decade of waiting.

With production now targeted for 2027 or 2028 at the earliest, the Roadster remains Tesla’s most audacious promise and its longest-running delay. But if what Musk is testing lives up to even half of what he has described, the demo alone should be worth waiting for.

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Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story

Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.

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Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.

The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.

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The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.

For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.

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Tesla isn’t joking about building Optimus at an industrial scale: Here we go

Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.

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Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”

Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.

Credit: TESLA

Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.

As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.

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