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Tesla terminates employee and FSD Beta tester who shared drives on YouTube
A Tesla employee and FSD Beta tester has been terminated over what the company states is a conflict of interest. The employee in question, Jon Bernal, is also the owner of the AI Addict YouTube channel, which features both casual and stress tests of Full Self-Driving Beta in real-world situations.
Over the past year, Bernal shared numerous videos of FSD Beta in action, and being one of the system’s users who typically pushes the advanced driver-assist system to its limits, some of his videos featured flaws and shortcomings in Full Self-Driving Beta’s capabilities. This included a rather dramatic video of FSD Beta 9 in downtown San Francisco, which featured several mistakes in the system’s maneuvers, as well as an actual accident involving FSD Beta 10.10 in downtown San Jose, which featured Bernal’s Model 3 hitting a traffic bollard.
Following his termination from the company, Tesla opted to cut off Bernal’s access to FSD Beta. This, according to the former employee, was despite the fact that he has not encountered any safety strikes while using the system. Bernal’s 2021 Tesla Model 3 is still equipped with the company’s Full Self-Driving suite, however, which was given to him as a free perk when he purchased the vehicle as an employee. Tesla’s FSD suite is currently offered as a $12,000 option, though it was priced at $8,000 when Bernal took delivery of his Model 3 in December 2020.
Bernal started his employment at Tesla in August 2020, working as a data annotation specialist in an office in San Mateo, California. As per records shared by the former employee to CNBC, he was later moved into the role of advanced driver assistance systems test operator. He was terminated from the company on the second week of February 2022. Prior to his dismissal, Bernal stated that managers verbally informed him that he “broke Tesla policy” and that his AI Addict YouTube channel was a “conflict of interest.”
While Bernal did previously admit in the comments section of one of his YouTube videos that he was a Tesla employee, the AI Addict channel does not prominently indicate or disclose that its host works for the EV maker. That being said, Bernal maintains that he has been transparent about his YouTube channel, even with his colleagues at Tesla. He also maintains that he has never disclosed anything in his videos that the company has not rolled out to the public.
“The FSD Beta releases I was demonstrating were end-user consumer products,” the former Tesla employee said.
While he cannot use his personal Model 3 for FSD Beta videos today, the former employee noted that he has attained access to other Teslas with FSD Beta. As such, Bernal noted that he should be able to continue his independent research and reviews. One such video has already been uploaded on the AI Addict YouTube channel, where Bernal briefly discussed his departure from Tesla before taking FSD Beta in his typical stress tests.
Despite his experiences with the EV maker, Bernal has noted that he still cares a lot about the company and what it is attempting to accomplish with products like Autopilot and FSD Beta. “I still care about Tesla, vehicle safety, and finding and fixing bugs,” he said.
Bernal’s latest video, which includes his thoughts on his departure from Tesla, could be viewed below.
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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.
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”
