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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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Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.
The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.
This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.
Following future rollout of FSD V14 Lite for HW3 vehicles in the US, we plan on expanding V14 Lite to additional international markets.
This update ensures that HW3 vehicle owners will continue to benefit from ongoing software updates.
Since international rollout is subject to…
— Tesla (@Tesla) April 29, 2026
It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”
Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”
Anyone who purchased full self-driving will get FSD computer upgrade for free. This is the only change between Autopilot HW2.5 & HW3. Going forward “HW3” will just be called FSD Computer, which is accurate. No change to vehicle sensors or wire harness needed. This is v important. https://t.co/lICMpT7xnX
— Elon Musk (@elonmusk) March 29, 2019
However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”
Tesla has made some effort to remedy these Hardware 3 owners by offering:
- Discounted trade-ins toward AI4 cars
- Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
- Full Self-Driving v14 Lite
The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.
Expectations for Tesla v14 Lite for Hardware 3 Owners
The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.
Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.
Tesla reveals its plans for Hardware 3 owners who are eager for updates
This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.
There should also be a handful of additional features that are available on AI4 cars, such as:
- Starting Full Self-Driving from Park
- Auto Shift
- Streaks
- Speed Profiles
- Improved Dynamics, like Pulling Over for Emergency Vehicles
Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.
We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Hardware 3 owners could be made whole this month
SpaceXAI just launched into your kitchen with their new app
