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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.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
