News
Tesla’s camera-based driver monitoring system exists; pretending it doesn’t makes roads less safe
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.
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.
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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Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
News
Tesla Model Y and Model 3 named safest vehicles tested by ANCAP in 2025
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025.
The Tesla Model Y recorded the highest overall safety score of any vehicle tested by ANCAP in 2025. The Tesla Model 3 also delivered strong results, reinforcing the automaker’s safety leadership in Australia and New Zealand.
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025. ANCAP’s 2025 tests evaluated vehicles across four key pillars: Adult Occupant Protection, Child Occupant Protection, Vulnerable Road User Protection, and Safety Assist technologies.
The Model Y posted consistently strong results in all four categories, distinguishing itself through a system-based safety approach that combines structural crash protection with advanced driver-assistance features such as autonomous emergency braking, lane support, and driver monitoring.

This marked the second time the Model Y has topped ANCAP’s annual safety rankings. The Model Y’s previous version was also ANCAP’s top performer in 2022.
The Tesla Model 3 also delivered a strong performance in ANCAP’s 2025 tests, contributing to Tesla’s broader safety presence across segments. Similar to the Model Y, the Model 3 also earned impressive scores across the ANCAP’s four pillars. This made the vehicle the top performer in the Medium Car category.
ANCAP Chief Executive Officer Carla Hoorweg stated that the results highlight a growing industry shift toward integrated safety design, with improvements in technologies such as autonomous emergency braking and lane support translating into meaningful real-world protection.
“ANCAP’s testing continues to reinforce a clear message: the safest vehicles are those designed with safety as a system, not a checklist. The top performers this year delivered consistent results across physical crash protection, crash avoidance and vulnerable road user safety, rather than relying on strength in a single area.
“We are also seeing increasing alignment between ANCAP’s test requirements and the safety technologies that genuinely matter on Australian and New Zealand roads. Improvements in autonomous emergency braking, lane support, and driver monitoring systems are translating into more robust protection,” Hoorweg said.