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Tesla with sleeping driver proves there’s still misunderstanding and irresponsibility surrounding autonomy
Update: 11:06 AM EST: Paragraph 7 added to show the probability of the driver having a medical emergency. California Highway Patrol saw the vehicle and noted the driver was awake after catching up to the car.
A Tesla Model Y with a sleeping driver was recently spotted on the I-15 Freeway near Temecula, California, which proves that people and media still have a vast misunderstanding and irresponsible tone regarding the capabilities of semi-autonomous vehicles.
According to a report from KTLA 5, a woman in a Tesla Model Y was followed by another driver for more than fifteen minutes on the California interstate in an attempt to wake the woman who was taking advantage of the automaker’s semi-autonomous driving functions up.
The report and the incident prove there are still huge misunderstandings in the capabilities of semi-autonomous driving suites, including Tesla’s Full Self-Driving and Autopilot, which require users to remain vigilant and be prepared to take over the vehicle at any point.
Drivers utilize semi-autonomous vehicle functionalities irresponsibly often, and social media has proven time and time again that people take advantage of the capabilities, even though they are not fully autonomous.
It is no secret that people and companies have utilized whatever they can to alleviate themselves of the responsibility of paying attention while the car operates some tasks on its own. With the introduction of advanced driver assistance systems (ADAS) over the past several years, drivers have taken advantage of the functions to instead play on their phones, read books, eat food, or even catch up on sleep.
Tesla’s camera-based driver monitoring system goes through the cellphone test
However, the risks that come with this behavior are potentially catastrophic. For one, those who use these functions irresponsibly put themselves and every other driver on the road at risk because if the vehicle needs assistance or encounters a situation where it would not react safely, the driver is responsible for taking over. Additionally, if an accident occurs, it can be framed as Tesla’s, or any other manufacturer’s fault, depending on the vehicle used, and instances like this can set the future of semi-autonomous and autonomous driving back years due to skepticism.
There is the possibility that the driver had some type of medical emergency or accidentally fell asleep, in which the Tesla’s functionalities kept the operator and others safe. Police stated the driver was caught up to two minutes after receiving calls about the driver, and the driver was attentive at this time.
However, the media’s portrayal of the situation also proves that many are widely uninformed regarding the capabilities of Teslas. While Tesla’s Full Self-Driving suite has caused controversy over its name, the automaker continues to remind those who use it to remain vigilant, as the cars cannot truly drive themselves.
In Tesla’s FAQ section of the Autopilot and Full Self-Driving page, the company answers the question, “Do I still need to pay attention while using Autopilot?:”
“Yes. Autopilot is a hands-on driver assistance system that is intended to be used only with a fully attentive driver. It does not turn a Tesla into a self-driving car nor does it make a car autonomous.
Before enabling Autopilot, you must agree to “keep your hands on the steering wheel at all times” and to always “maintain control and responsibility for your car.” Once engaged, Autopilot will also deliver an escalating series of visual and audio warnings, reminding you to place your hands on the wheel if insufficient torque is applied. If you repeatedly ignore these warnings, you will be locked out from using Autopilot during that trip.
You can override any of Autopilot’s features at any time by steering, applying the brakes, or using the cruise control stalk to deactivate.”
Media labeling the vehicle as “a self-driving Tesla” is a disservice to people and the company. Teslas do not drive themselves, as the vehicles are defined as Level 2, according to the Society of Automotive Engineers Levels of Driving Automation. Level 2 systems reiterate that the driver is still responsible for driving the car when these systems are activated. “You must constantly supervise these support features,” the SAE says. Level 3 to Level 5 systems maintain that the operator is not driving the car, but Level 5 systems are the only ones that are explicitly labeled as “self-driving.”
“This feature can drive the vehicle under all conditions,” the SAE table states.
Credit: Society of Automotive Engineers
Recent ratings by Consumer Reports showed that Tesla’s biggest flaw was driver monitoring. Many systems use cabin-facing cameras to monitor eye behavior to ensure the operator is keeping their eyes on the road. Teslas use a series of audible and visual cues to alert drivers of their inattentiveness, and steering wheel sensors make sure the driver keeps their hands on the wheel.
However, various cheat devices have been marketed across the internet, and in this instance, the driver appears to have their hands on the wheel while they are dozed.
Tesla activated camera-based driver monitoring in May 2021. “The cabin camera above your rearview mirror can now detect and alert driver inattentiveness while Autopilot is engaged,” Tesla said in the notes. Tests of Tesla’s driver monitoring tests showed the system was effective in some instances, especially when looking at cell phones, with alerts coming in 15 seconds.
The potential irresponsibility of users puts major risks to those on the road and the companies that develop these driver assistance programs. While there are workarounds through the previously-mentioned cheat devices, people have to know their irresponsibility could cost them, or others, their lives.
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Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
