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TikTok creator apologizes to Tesla, admits that “defective” Model S in viral video was not his

Credit: Ricco Kimborough/TikTok

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TikTok creator Ricco Kimborough has come clean about a viral Tesla post where he supposedly took delivery of a Model S with an airbag unit that fell apart in his hands. The social media enthusiast posted his apology on TikTok, admitting that the vehicle in the video was not really his and that he simply sat in an unlocked car at a Tesla delivery center. 

“This video is for Elon Musk. I love your product, sir, I do. I love your product. I had no idea, and I’m sorry from the bottom of my heart. I had no idea that I was not supposed to get into that vehicle because it was not locked at all. I just want to say, I apologize… This video went viral and I got a call from the actual police department saying that they don’t want me on their property… So this message is to Elon Musk… I’m sorry and I’m actually purchasing a Tesla. Got one on order,” Kimborough said. 

Kimborough’s viral video became a rallying cry of sorts among the anti-Tesla crowd, especially considering his “reactions” to his vehicles’ alleged defect. In the video, the TikTok creator stated that the vehicle was some “cheap baloney” and that such defects were unacceptable. Later videos even showed Kimborough allegedly coming to a Tesla location to complain about “his” Model S. That being said, the TikTok creator’s viral video did have some red flags from the get-go.

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Immediately noticeable from the viral video was that the Model S “Plaid” that Kimborough allegedly took delivery of still had some of the protective wraps Tesla uses when transporting its cars. The vehicle was also in Transport Mode, which suggests that it was not in any way ready to be handed over to a customer. Contrary to the TikTok creator’s Model S Plaid claims, the vehicle was also a Model S Long Range, which was not yet being delivered to customers then. 

@riccokimbrough##tesla ##elonmusk♬ original sound – ✅ Ricco kimbrough♋️

So what of the substantial media coverage of Kimborough’s viral video, such as this, this, this, this, and this now that the video has been debunked by its creator? Well, that’s just the thing with these false pieces. Some outlets such as motoring media outlet Jalopnik have posted corrections to their initial coverage. But others, not so much. This, unfortunately, will likely result in a great number of people still believing that the TikTok creator’s initial video was real, despite the fact that it’s not. 

As previously explained to Teslarati by Emma Frances Bloomfield (PhD), currently an Assistant Professor of Communication Studies at the University of Nevada, Las Vegas, correcting misinformation requires halting the repetition of false information. “To address misinformation, people can create more complete stories that replace the incorrect one, provide trustworthy authority figures to deliver the message, and not repeat the false information when making the correction. We say, “correct early and correct often” to try and get ahead of the temporal advantage misinformation has and to counter the repetition of the false information,” she stated. 

Considering the usual narratives surrounding Tesla, countering this proven false claim would definitely be challenging. 

Do you have anything to share with the Teslarati Team? We’d love to hear from you, email us at tips@teslarati.com.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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.

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Credit: Starlink/X

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.

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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.

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Credit: Grok Imagine

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.”

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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. 

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Credit: Grok

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.

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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.

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