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Tesla Sentry Mode captures man seemingly trying to cause a Model 3 accident
Recent footage from a Tesla owner in Flesland, Norway has revealed a rather shocking video of a man seemingly trying to cause a Model 3 accident. The video, which was recorded through the electric sedan’s Sentry Mode feature, showed the man deliberately removing the nuts on the Model 3’s rear wheels, which could have resulted in the vehicle’s wheels falling off during driving.
In a post on Norway-based Tesla-themed Facebook group Teslanytt, Kees Ihlhaug, the vehicle’s owner, noted that the incident happened earlier this week at a parking lot in Lilandsveien, near Bergen Airport at Flesland. After driving his Tesla for about 10 meters, Ihlhaug noticed that his car was behaving strangely. Upon checking his Model 3’s wheels, he found that all but one nut on each of his vehicle’s rear wheels have been taken off. The last nut on each wheel was loosened considerably as well, and it would have easily fallen off had the Tesla owner driven his Model 3 a bit further.
Ihlhaug promptly called a local tire company that fortunately was able to help him out. With new nuts on his vehicle’s wheels, the Model 3 owner was able to drive away safely. When he checked the footage from his electric sedan’s Sentry Mode feature, he was rather shocked to see a man, face hidden with a mask, deliberately removing his Model 3’s rear wheel nuts. Based on the video, it appears that after Sentry Mode was activated midway through the incident, the perpetrator fled the scene.
Footage of the incident was turned over to the police. Unfortunately, the man’s face was covered, making it challenging to identify the perpetrator. There were no security cameras in the parking lot where Ihlhaug left his Model 3 as well. Speaking to local news agency NRK, Section leader Kristine Pettersen at Bergen South Police District noted that the incident could have resulted in something very dangerous. “It is serious when someone bumps with the wheels of a car. It is, of course, not safe to drive when four out of five nuts are off. The damage potential is great if the driver had not been vigilant,” she said.
While the man’s motivations behind his actions remain unclear, and while Ihlhaug himself noted that the person might have simply wanted to steal his wheels (his Model 3 is equipped with aftermarket rims), the fact that the man seemingly opted to leave one nut on each rear wheel suggests that the perpetrator’s motivations might have been more sinister. The man did not use any tools to lift and support the vehicle, for one, which would have made removing the Model 3’s wheels very difficult. Thus, as unfortunate as it may seem, it appears that the perpetrator might have been deliberately attempting to cause the Model 3 to crash.
An extensive look into the treatment of Tesla owners in Norway by NRK late last year has revealed that some of the electric vehicles are seeing some harsh treatment on the road. According to Tom Alfred, a longtime driver and Model X owner, Teslas and other electric cars are starting to attract aggressive drivers. Citing an EV-centric Facebook group that he interacts with, Alfred told the publication that critics had dubbed Tesla and EV owners as “lowest ranking social parasites,” and “spammers who are sponsored by us who drive diesel cars,” among others.
Alfred has noted that these sentiments are spilling over to how he is being treated on the road. “It has become more difficult to merge. I often lie behind other cars. And I have experienced traffic-dangerous situations I have never experienced before. It may be just something I feel about, since I know what kind of prejudice people have. Or it’s because I have a Tesla,” he said. The Model X owner noted that due to these experiences, he has begun avoiding talking about his car in social gatherings. “I still hold a lower profile now than before. I’m trying to avoid talking about having a Tesla,” he said.
Watch Sentry Mode capture footage of a man deliberately removing the wheel nuts on a Model 3 in the video below.
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.
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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.
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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.