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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.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
News
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
News
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Starlink passes 9 million active customers just weeks after hitting 8 million
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
