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Tesla’s camera-based driver monitoring system exists; pretending it doesn’t makes roads less safe

Credit: Whole Mars Catalog/Twitter

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Tesla’s FSD Beta program has begun its expansion to more users. And while the system is only being distributed today to drivers with a perfect Safety Score, the advanced driver-assist system is expected to be released to users with a rating of 99 and below in the near future. True to form, with the expansion of FSD Beta also came the predictable wave of complaints and pearl-clutching from critics, some of whom still refuse to acknowledge that Tesla is now utilizing its vehicles’ in-cabin camera to bolster its driver-monitoring systems. 

Just recently, the NHTSA sent a letter to Tesla asking for an explanation why the company rolled out some improvements to Autopilot without issuing a safety recall. According to the NHTSA, Tesla should have filed for a recall notice if the company found a “safety defect” on its vehicles. What was missed by the NHTSA was that the Autopilot update, which enabled the company’s vehicles to slow down and alert their drivers when an emergency vehicle is detected, was done as a proactive measure, not as a response to a defect.

Consumer Reports Weighs In

Weighing in on the issue, Consumer Reports argued that ultimately, over-the-air software updates do not really address the main weakness of Teslas, which is driver-monitoring. The magazine admitted that Tesla’s driver-assist system’s object detection and response is better than comparable systems, but Kelly Funkhouser, head of connected and automated vehicle testing for Consumer Reports, argued that it is this very reason why the magazine has safety concerns with Tesla’s cars. 

“In our tests, Tesla continues to perform well at object detection and response compared to other vehicles. It’s actually because the driver assistance system performs so well that we are concerned about overreliance on it. The most important change Tesla needs to make is to add safeguards—such as an effective direct driver monitoring system—to ensure the driver is aware of their surroundings and able to take over in these types of scenarios,” Funkhouser said. 

Jake Fisher, senior director of Consumer Reports‘ Auto Test Center, also shared his own take on the issue, particularly around some Autopilot crashes involving stationary emergency vehicles on the side of the road. “CR’s position is that crashes like these can be avoided if there is an effective driver monitoring system, and that’s the underlying problem here,” Fisher said, adding that over-the-air software updates are typically not sent to address defects.   

Tesla’s camera-based DMS

Funkhouser and Fisher’s reference to direct driver monitoring systems is interesting because the exact feature has been steadily rolling out to Tesla’s vehicles over the past months. It is quite strange that Consumer Reports seems unaware about this, considering that the magazine has Teslas in its fleet. Tesla, after all, has been rolling out its camera-based driver monitoring system to its fleet since late May 2021. A rollout of the camera-based system to radar-equipped vehicles was done in the previous quarter. 

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Tesla’s Release Notes for its camera-based driver monitoring function describes how the function works. “The cabin camera above your rearview mirror can now detect and alert driver inattentiveness while Autopilot is engaged. Camera data does not leave the car itself, which means the system cannot save or transmit information unless data sharing is enabled,” Tesla noted in its Release Notes. 

What is interesting is that Consumer Reports‘ Jake Fisher was made aware of the function when it launched last May. In a tweet, Fisher even noted that the camera-based system was not “just about preventing abuse;” it also “has the potential to save lives by preventing distraction.” This shows that Consumer Reports, or at least the head of its Auto Test Center, has been fully aware that Tesla’s in-cabin cameras are now steadily being used for driver monitoring purposes. This makes his recent comments about Tesla’s lack of driver monitoring quite strange. 

Legacy or Bust? 

That being said, Consumer Reports appears to have a prepared narrative once it acknowledges the existence of Tesla’s camera-based driver-monitoring system. Back in March, the magazine posted an article criticizing Tesla for its in-cabin cameras, titled “Tesla’s In-Car Cameras Raise Privacy Concerns.” In the article, the magazine noted that the EV maker could simply be using its in-cabin cameras for its own benefit. “

“We have already seen Tesla blaming the driver for not paying attention immediately after news reports of a crash while a driver is using Autopilot. Now, Tesla can use video footage to prove that a driver is distracted rather than addressing the reasons why the driver wasn’t paying attention in the first place,” Funkhouser said. 

Considering that Consumer Reports seems to be critical of Tesla’s use (or non-use for that matter) of its vehicles’ in-cabin cameras, it appears that the magazine is arguing that the only effective and safe driver monitoring systems are those utilized by veteran automakers like General Motors for its Super Cruise system. However, even the advanced eye-tracking technology used by GM for Super Cruise, which Consumer Reports overtly praises, has been proven to be susceptible to driver abuse. 

This was proven by Car and Driver, when the motoring publication fooled Super Cruise into operating without a driver using a pair of gag glasses with eyes painted on them. One could easily criticize Car and Driver for publicly showcasing a vulnerability in Super Cruise’s driver monitoring systems, but one has to remember that Consumer Reports also published an extensive guide on how to fool Tesla’s Autopilot into operating without a driver using a series of tricks and a defeat device. 

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Salivating for the first FSD Beta accident

What is quite unfortunate amidst the criticism surrounding the expansion of FSD Beta is the fact that skeptics seem to be salivating for the first accident involving the advanced driver-assist system. Fortunately, Tesla seems to be aware of this, which may be the reason why the Beta is only being released to the safest drivers in the fleet. Tesla does plan on releasing the system to drivers with lower safety scores, but it would not be a surprise if the company ends up adopting an even more cautious approach when it does so. 

That being said, incidents on the road are inevitable, and one can only hope that when something does happen, it would not be too easy for an organization such as Consumer Reports to run away with a narrative that echoes falsehoods that its own executives have recognized publicly — such as the potential benefits of Tesla’s camera-based driver monitoring system. Tesla’s FSD suite and Autopilot are designed as safety features, after all, and so far, they are already making the company’s fleet of vehicles less susceptible to accidents on the road. Over time, and as more people participate in the FSD Beta program, Autopilot and Full Self-Driving would only get safer. 

Tesla is not above criticism, of course. There are several aspects of the company that deserves to be called out. Service and quality control, as well as the treatment of longtime Tesla customers who purchased FSD cars with MCU1 units, are but a few of them. However, it’s difficult to defend the notion that FSD and Autopilot are making the roads less safe. Autopilot and FSD have already saved numerous lives, and they have the potential to save countless more once they are fully developed. So why block their development and rollout?

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

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 follows Trump’s lead, says a SpaceX name change is coming

Elon Musk says SpaceXAI will become SpaceXSI, marking its second rebrand in under three months.

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Elon Musk wants to rename his artificial intelligence company again, less than three months after its last rebrand.

In a string of posts on X early Sunday morning, Musk wrote “No more AI,” followed by “SI” and “It’s better.” He then added, “SpaceX is a super intelligence company.” When a user asked whether SpaceXAI could become SpaceXSI, Musk replied, “Yes, we will make that change.”

The posts extend a terminology push that began at the White House last week. On September 29, President Donald Trump signed an executive order directing federal agencies to replace “artificial intelligence” and “AI” with “Super Intelligence” and “SI” on government websites, policy documents and press releases. The same day, Musk sat beside Trump as the heads of the largest AI companies signed a voluntary safety accord, as Teslarati reported. Speaking to reporters afterward, Musk caught himself mid sentence: “I think it is worth highlighting the positive benefits of A.I. … S.I., pardon me.”

Elon Musk and Trump are closer than ever, and Tesla could be the big winner

SpaceXSI would be the third name for the business since February. SpaceX acquired xAI on February 2 in a deal that valued the combined company at $1.25 trillion. In May, Musk said xAI would be dissolved as a separate company, and on July 6 the division adopted the SpaceXAI name and a new logo that placed the xAI letters inside the SpaceX identity.

Musk gave no timeline. He did not say whether SpaceXSI would be a legal name change or a branding update, whether the @SpaceXAI handle on X would change, or how the shift would apply to products like Grok. The company had not issued a formal announcement as of Sunday morning.

The change would reach well beyond a chatbot. SpaceXAI now houses Grok, the X platform, the Colossus training clusters in Memphis and the coding tool Cursor, which SpaceX acquired in August. It also runs the orbital compute effort SpaceX is building around Nvidia hardware, which Musk said during the company’s first earnings call would be exclusive to Nvidia.

It’s unclear if rivals like Anthropic, OpenAI, Google, Meta and Nvidia have plans to also rename their companies or products. OpenAI CEO Sam Altman has continued to say “AI” in public, while Nvidia CEO Jensen Huang has gone partway, describing data centers as “super intelligence factories.”

The rename would also line up SpaceX’s AI branding with the federal government’s language as Musk takes on a new advisory role at the Pentagon, where he is helping lead the Project Meridian study on the future of warfare.

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Starlink launches Communities Program for passive income through internet sharing

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(Credit: Starlink | X)

Starlink is launching a new beta path for ordinary property owners and local operators to turn a single Starlink kit into a small shared-access business for passive income.

Under the Starlink for Communities program, a host installs one dish and router setup in a location with nearby demand: an apartment complex, campground, rural crossroads, or event site. Neighbors or local users can buy short-term passes rather than full individual subscriptions, giving the Starlink provider a potential path to passive income.

Hour, day, and week passes cover one device. A month pass covers up to four. Starlink handles account creation, payments, access controls, and the satellite link itself. The host’s role is mainly placement, power, and basic upkeep, with earnings tied to each paid connection.

The model echoes the passive-income vision long attached to Tesla’s Robotaxi plans, and it seems like it’s something Musk has hinted toward in the past as he believes AI will make the need to work relatively optional. In both cases, the platform owns the hard parts of matching, billing, and network management, while an individual supplies a physical asset that sits idle much of the time.

A Starlink host’s dish can serve multiple nearby users without each household buying and installing its own terminal. A Tesla owner, under the stated Robotaxi concept, would leave a vehicle enrolled in the fleet during unused hours so the car generates rides while the owner is at work or asleep.

Both arrangements convert under-utilized hardware into a revenue stream. They also let the company scale coverage or capacity without owning every endpoint.

Differences are practical. A Starlink kit is a fixed, relatively low-cost terminal whose main constraint is local congestion and line-of-sight. A Tesla Robotaxi is a mobile, high-value vehicle whose earnings depend on demand density, utilization rates, insurance, cleaning, and charging.

Starlink’s program is already accepting host applications in multiple countries and describes the revenue split as ongoing. Tesla’s owner-network version remains more aspirational.

The company currently operates a limited company-controlled robotaxi service in select areas and has solicited interest from fleet buyers for Cybercab vehicles, while private Full Self-Driving owners have not yet been able to dispatch their own cars for paid rides at scale.

Tesla primes Cybercabs for 4K streaming and high bandwidth gaming with Starlink integration

Starlink is a satellite broadband service operated by SpaceX that uses a constellation of low-Earth-orbit satellites to deliver internet to locations where terrestrial broadband is slow, expensive, or absent. It has grown to millions of subscribers worldwide by selling direct residential, mobile, and enterprise terminals, and have become widely available at a wide array at retail locations like Target and Best Buy.

The Communities program extends that reach by letting hosts resell short bursts of capacity to people nearby, while also providing high-speed internet access to those who are simply around a Starlink user.

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Tesla just made its headlights even better through a software update

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Credit: @jojje167 on X

Tesla just upgraded its headlights through a software update, making them even better without any physical or hardware upgrade.

Tesla’s latest software update is quietly improving nighttime driving for a small number of owners. Version 2026.38 includes a new capability called Dynamic Headlight Leveling.

The feature automatically adjusts the aim of the low beams in response to driving conditions and nearby traffic, with the goal of giving the driver more usable light on the road while reducing glare for oncoming vehicles and traffic ahead.

Unlike Tesla’s matrix high-beam system, which selectively dims individual LED segments to create shadows around other cars, Dynamic Headlight Leveling physically tilts the low-beam projectors. Internal motors respond to changes in vehicle pitch.

When the car accelerates hard, climbs a steep grade, or carries extra weight in the rear, the headlights can otherwise point higher than intended. The software counters that movement in real time so the beam stays aimed at the road surface rather than into the eyes of other drivers.

Early indications reveal the update is reaching a limited set of vehicles, including certain Model 3 and Cybertruck examples in the United States and the United Arab Emirates. The rollout does not appear tied to a single hardware revision, and Tesla has not published a broader schedule. It is simply a common waiting game until your car receives it.

The change arrives against a backdrop of wider complaints about headlight glare. Some earlier Model 3 and Model Y vehicles were the subject of an NHTSA recall related to excessive low-beam glare; the software adjustment offers a potential mitigation for cars equipped with the necessary leveling hardware. It does not replace adaptive high beams where those are already available, nor does it alter the basic low-beam pattern itself.

Instead, it keeps an existing beam pointed where it is most useful.

For drivers who have received the update, the system requires no new settings or user input. The headlights simply respond as road conditions and traffic change. As the feature reaches more vehicles, it adds another example of Tesla using over-the-air software to refine existing hardware rather than waiting for a new model year. Nighttime visibility and reduced glare for others are the practical results owners are expected to notice first.

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