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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.   

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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. 

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. 

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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. 

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?

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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

Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

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Credit: @BLKMDL3/X

Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD). 

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

10 billion miles of training data

Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly. 

“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote. 

Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles. 

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FSD’s total training miles

As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program. 

The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.

As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Tesla leaders and engineers recognized

The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.

Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.

Tesla’s software-first strategy

While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.

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This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.

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Elon Musk

Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial. 

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.

Judge says disputed facts warrant a trial

At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.

Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”

OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.

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Rivalries and Microsoft ties

The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.

The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.

Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.

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