News
Tesla’s built-in dashcam helps identify suspect in road rage incident
Tesla’s built-in dashcam recently helped the case of an electric car owner who was assaulted following a road rage incident at Meridian, Idaho earlier this week. The incident, which started from a simple misunderstanding on the road, resulted in the electric car owner receiving multiple blows to the head and the suspect being booked on a misdemeanor battery charge.
Len Anderson was driving home on his Tesla last Tuesday when he passed a white Hyundai sedan that was taking a left turn off E. Presidential Drive in Meridian. While the Hyundai’s driver used his blinkers to indicate that he was turning left, Anderson figured that he had right of way. As such, he opted to accelerate. This decision, as well as the speed of his car due to its instant torque, did not sit well with the Hyundai’s driver.
In a statement to local media outlet Idaho News, Anderson stated that the Hyundai driver eventually followed him home. At one point, the driver of the white sedan rolled down his window and reportedly yelled at the electric car owner.
“This guy thinks (he’s) cool zipping down the road cutting off people with his Tesla. How dare you drive like that when we have a baby in our car!” the driver said, according to Anderson.
Things only escalated from there. Anderson noted that as he was heading to his mailbox to pick up his mail, the Hyundai’s driver got out of his car and started taking footage of his house and his Tesla. The white sedan’s driver then reportedly closed in, resulting in Anderson yelling at the man to step back. With the driver just inches from his face, Anderson pushed the man away, resulting in the driver’s phone getting knocked out of his hand.
It did not take long before Anderson was knocked to the ground by a punch from the Hyundai’s driver. The Tesla owner noted that the man hit him around 20 times in the head as he lay in a fetal position. Fortunately, Anderson was able to get a photo of the man before he was assaulted, which was later shared online by the Meridian Police Department. The suspect, who was identified as 36-year-old Walter Gage Anderson turned himself in to his probation and parole officer after. Footage from the electric car’s built-in dashcam provided further evidence in the incident.
Reviewing the footage from the built-in dashcam of Anderson’s Tesla, a representative of Meridian PD noted that the electric car owner did not violate traffic rules when he crossed the intersection.
“He was following the correct traffic procedures. I think he may have sped up a little bit at the intersection, but he definitely had the right of way. And it’s really not even about the right of way rule. It really is about common courtesy. You don’t know who you’re dealing with in that other vehicle. No reason to try to get into a physical confrontation with anybody,” the Meridian PD representative said in a statement to KTVB-TV.
Tesla’s built-in dashcam feature was rolled out by the electric car maker to aid drivers in situations similar to those faced by Anderson. By providing footage of what transpired on the road, Tesla owners would be able to back up their side of the story in case they find themselves in an untoward situation. Such an event happened last October, when a Tesla Model 3 was involved in a nighttime accident with a Honda Accord that did not have its lights on. When authorities arrived, the Model 3 owner and the driver of the Accord provided different accounts of the incident. Fortunately, video from the electric car’s built-in dashcam quickly proved the Tesla owner’s point.
Watch a news segment featuring Anderson’s footage from his Tesla’s built-in dashcam 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.
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”
