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Tesla Cybertruck’s potential amphibious capabilities are starting to become realistic

(Credit: Mo Aun/Instagram)

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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. 

The Tesla Cybertruck at the Petersen Automotive Museum. (Credit: Dave Rand)

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. 

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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. 

The Rinspeed sQuba, which in submarine mode. (Credit: Rinspeed)

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. 

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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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SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

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SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

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Tesla adds new Supercharger feature for a better idea of what to expect

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

 

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