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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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News
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
News
Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
