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Tesla Cybertruck’s potential amphibious capabilities are starting to become realistic
In a recent lighthearted post, Tesla CEO Elon Musk referenced the Cybertruck’s potential amphibious capabilities once more. Musk’s tweet was a response to a rather humorous concept video featuring the all-electric pickup being used as a boat. And while such a concept may be farfetched for the skeptics, the idea of an amphibious vehicle may actually be pretty feasible.
The amusing render was created by Slav Popovski, the same 3D artist that came up with a realistic concept video of the next-gen Tesla Roadster SpaceX Package’s 0-60 mph launch. Musk, for his part, stated that Tesla could probably give the all-electric pickup a similar function. “I think we could make it work,” the CEO noted. This echoed a previous tweet that Musk posted in April, when he noted that the Cybertruck would “float for a while” when traversing deep waters.
Recent images of the Tesla Cybertruck at the Petersen Automotive Museum have revealed that the vehicle may actually be designed to resist being breached with water. As indicated by pictures from the Tesla community, several sections of the Cybertruck’s underbody seem to be watertight, and the vehicle’s suspension area seemed to be sealed as well. This suggests that Elon Musk’s statements about the Cybertruck’s amphibious capabilities may be less outlandish than expected.
Musk has been pretty open about his love for vehicles that can travel on both land and water. In 2013, Musk purchased the actual Lotus Esprit S1 movie prop from the 1977 James Bond film The Spy Who Loved Me, which became iconic due to its capability to transform from a sports car into a submarine. Musk would later joke that he was disappointed to find out that the Lotus did not really transform into a submarine, and that he would probably attempt an amphibious vehicle using Tesla tech.
The CEO revisited this idea in the 2019 Annual Shareholder Meeting, when he stated that a submarine car is “technically possible.” Musk did admit that the market for such vehicles would be small, but he suggested that there will probably be a lot of enthusiasm around the project.
A novel amphibious car has actually been attempted over ten years ago by Swiss niche automaker Rinspeed. During the Geneva Motor Show in 2008, the company took the wraps off its all-electric sQuba amphibious sports car. The vehicle ran on lithium ion batteries and was built on top of a Lotus Elise, which actually makes it pretty similar to the original Tesla Roadster, at least to some degree.
Granted, the sQuba was slower than Tesla’s sports car with its top speed of 75 mph, but it does have the capability to travel over water, and up to 33 ft underwater. The vehicle even came equipped with scuba tanks for its two passengers, which are incredibly useful when the vehicle is in its submarine configuration. Unfortunately, the sQuba has so far not made it to production, with Rinspeed founder and CEO Frank M. Rinderknecht stating that the appeal of such a vehicle is very limited due to the fact that it was mostly a toy for the wealthy.
But the Cybertruck is no niche vehicle, nor is it a novel toy for the rich. Starting at less than $40,000 for its RWD variant, the Cybertruck is made for utility and actual, tough work. This means that if the Cybertruck were to have actual amphibious abilities, it could have practical, real-world uses. The vehicle could be used as a rescue pickup for the Coast Guard, for example, since it could function as a boat to some degree.
Of course, these are all speculations for now. That being said, Elon Musk does have a reputation for bringing to market products and features that were initially thought of as a joke. The Boring Company’s Not-a-Flamethrower is one of these, and Tesla’s amusing Emissions Testing Mode (aka Fart Mode) is another. With these in mind, and with the Cybertruck seemingly being designed to withstand water, perhaps the idea of an amphibious all-electric pickup is not too farfetched after all.
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”
