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Tesla’s cabin camera use panned by Consumer Reports over privacy concerns

Credit: YouTube/Andy Slye

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In a report on Tuesday, US magazine Consumer Reports posted a critique of Tesla’s use of in-car cameras to develop and improve its Full Self-Driving suite. The publication noted that such practices from the EV maker raise privacy concerns.

Elon Musk confirmed in a recent tweet that Tesla is utilizing in-car footage from vehicles that are part of the ongoing FSD Beta to determine if drivers were paying enough attention to the road. Because of this, the CEO noted that some users’ access to the FSD Beta had been revoked. When prodded further, Musk confirmed that Tesla utilized the in-vehicle camera to determine if FSD beta users were paying sufficient attention when operating their vehicle.

This was a key point of critique for Consumer Reports, which noted that Tesla’s use of its vehicles’ cabin camera raises privacy concerns. Jake Fisher, the magazine’s auto test center’s senior director, shared his thoughts on the matter. “If Tesla has the ability to determine if the driver isn’t paying attention, it needs to warn the driver in the moment, like other automakers already do,” he said.

The Tesla Model 3 and the Model Y are both equipped with cabin cameras, which the EV maker intends to utilize for its upcoming Robotaxi network. The Model S and Model X refresh, which are expected to start deliveries soon, are also fitted with in-car cameras.

The cabin camera, at least for the Model 3 and Model Y today, is deactivated by default. However, drivers have the option to enable the in-car camera as a way to help Tesla develop future safety features and enhancements. Tesla has noted that it will capture and share a video clip from the cabin camera if the vehicle crashes or if the automatic emergency braking system is engaged.

While Consumer Reports’ concerns are notable, Tesla seems poised to use its vehicles’ cabin camera as a way to determine driver engagement in the future. Back in October, references to driver monitoring systems in Tesla’s software were observed by noted EV hacker @greentheonly. The hacker indicated that Tesla’s in-car camera could be used to detect if drivers’ eyes were closed, or if they were looking away from the road. This contrasts with the strategy employed by automakers such as General Motors, whose Super Cruise uses infrared technology to identify a driver’s eye movements or head position.

In a statement to Consumer Reports, John Davisson, senior counsel at the Electronic Privacy Information Center (EPIC), noted that closed-loop systems like those used by GM for Super Cruise do not present the same privacy risks as those presented by Tesla’s cabin camera. “I think there’s reason to distrust that this is the whole intended purpose of the system on Tesla’s part. It may later be repurposed for a system that is designed to track the behaviors of the driver, potentially for other business purposes,” he said.

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Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Elon Musk teases TSMC as potential Terafab partner

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SpaceX Terafab rendering
SpaceX Terafab rendering

Elon Musk has acknowledged that early discussions with Taiwan Semiconductor Manufacturing Company (TSMC) could bring the company into his ambitious Terafab semiconductor project, signaling a possible partnership with the world’s leading contract chipmaker.

Musk confirmed that early talks are underway, but as of right now, they are “just discussions.” There is no confirmation of a deal nor dismissal of the possibility of one, leaving open the prospect of one of the largest advanced-chip collaborations under discussion in the U.S.

The report that speculated on potential discussions between Terafab and TSMC comes from Tim Culpan, who outlined a few ways the collaboration could operate. One is TSMC using the project as an “anchor customer” for future facilities in Texas, potentially contributing process expertise, operational know-how, or capacity while Terafab provides capital, long-term purchase commitments, or both.

Tesla and SpaceX jointly developed the Terafab project, with Intel already participating on the tech side. Elon Musk announced the project in March, and it intends to produce more than one terawatt of AI compute capacity annually once fully built.

Elon Musk’s Terafab project locks up massive new partner

Company statements place the first phase at approximately $16.8 billion in cost, with later filings pointing to a total that could reach well into the tens of billions across multiple stages.

Intel joined the effort in April 2026 and is expected to supply its 14A manufacturing process for the full-scale plant.

Musk has said existing suppliers, including Samsung and TSMC, remain important for near-term needs; Tesla already has production arrangements with Samsung for AI5 and AI6 chips, but that future demand from Optimus robots, Cybercab vehicles, and planned space-based data centers will eventually exceed what the global industry can currently deliver.

Terafab is positioned as the long-term answer to that projected shortfall, and Tesla did something similar during COVID to avoid a chip shortage. This is just a much larger-scale solution.

If the partnership were to materialize, it would add TSMC’s industry-leading strategies to a project that already combines Tesla’s and SpaceX’s capital and offtake with Intel’s process technology. For now, the only public confirmation is Musk’s brief acknowledgement that conversations are occurring.

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Tesla reveals early Robotaxi charging strategy, showing scrappy DNA

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Credit: Tesla

Tesla’s early strategy for charging units operating within its Robotaxi fleet reveals that the company surely has not lost any of that scrappy DNA that took it from an unlikely success story to the most valuable carmaker in the world.

An observer at a Tesla Supercharger in Austin spotted ten total Robotaxi vehicles arrive: one Cybercab and nine Model Y units. A Tesla employee was waiting at the lot and allowed each unit to park itself; every car that arrived had nobody in it.

Tesla wins FCC approval for wireless Cybercab charging system

The Tesla employee would walk around and plug each car in, adjusting the parking if needed:

It’s a very interesting strategy, but extremely understandable at this early point in the Robotaxi program. It’s only been out for about 15 months, and Cybercab just entered the fleet in early September.

On top of that, Tesla is still working tirelessly on its wireless charging apparatus, and a new patent was just published regarding that product last week.

However, this is just another example of how Tesla still has plenty of that scrappy DNA leftover from the “production hell” days, when CEO Elon Musk slept on the floor of the factory, employees were working crazy hours, Tesla was building Sprung Structures to build cars in, and the company was tiptoeing on the brink of bankruptcy.

For now, Tesla is utilizing a simple system for recharging its ride-hailing vehicles, and that is a Tesla employee doing it manually until another solution presents itself. Sure, it’s not the most high-tech thing, and it certainly is not what people might have expected at this point in time, but it works, and it’s keeping the entire suite running.

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Tesla Robotaxi expands hours, Musk explains why it’s been a challenge

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Credit: Tesla

Tesla is expanding its Robotaxi service hours by pushing the time back by one hour, keeping the ride-hailing service operational until 11 p.m., one hour later than previously.

CEO Elon Musk confirmed the change and offered a specific reason the expansion has been gradual: the system still needs to reliably avoid small pets that are difficult to see after dark, as they commonly blend into the color of the road, especially when they’re grey.

The latest adjustment restores only a fraction of the operating window the service once held. When paid Robotaxi rides began in Austin on June 22, 2025, vehicles ran from 6 a.m. to midnight.

Tesla Robotaxi will be a 24/7 service: here’s when

In September 2025, Tesla lengthened the day to a 2 a.m. close, producing a 20-hour window that stayed in place for most of the following year. By early August of this year, the cutoff had already been pulled back; an August 26 update formalized hours of 6 a.m. to 10 p.m. across Austin and several other markets.

The October move to 11 p.m. therefore leaves the Austin day one hour shorter than the original launch schedule and three hours shorter than the 2025 peak.

Musk addressed the constraint directly after the announcement. “The main thing we’re trying to solve is making sure that we don’t run over pets when they’re hard to see at night,” he wrote. “Literally trying to avoid grey kittens on grey tarmac in the dark.”

The example points to a low-contrast perception problem in which a small animal can blend into the road surface under limited lighting.

Tesla’s vehicles rely on cameras and neural-network processing rather than lidar; Musk has previously argued that advanced vision software can extract useful information even in low light by analyzing photon counts, but the pet-detection case remains the stated limiter in later hours.

The modest schedule change arrives alongside faster growth in the purpose-built Cybercab fleet. Texas registration data tracked by observers showed the Austin Cybercab count rising sharply in recent weeks, reaching 169 vehicles after more than 100 were added in a short span.

Tesla has indicated that a broader shift toward 24-hour operation is tied to the upcoming FSD v15 software release expected this month on Robotaxi vehicles. Until that capability is validated for the edge cases Musk described, the company continues to add service time incrementally rather than jumping straight to overnight coverage.

The one-hour extension gives Austin riders a later option for evening trips while the underlying detection work continues.

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