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Tesla Cybertruck sure looks similar to NASA’s Mars rover concept

(Credit: CBS This Morning/YouTube)

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Elon Musk’s “Blade Runner” Cybertruck may only be a couple days away from being unveiled to the world, but the vehicle, from its final specs and design, remains a mystery. The Tesla CEO has stated that the vehicle will not look like a traditional pickup truck, and this has been confirmed by teasers from the company and clever Easter Eggs hidden in the CYBRTRK event’s invitation and the vehicle’s stylized logo. 

Considering that Musk has stated that the Tesla Cybertruck will look like an armored personnel carrier (APC) from the future, it’s difficult to not see the potential similarities between the vehicle and NASA’s Mars Concept Rover, which was unveiled back in 2017. NASA’s Mars Rover concept looks a lot like an APC from the future, and it looks very tough. It’s massive at 28 feet long, its ground clearance is no joke, and its modular structure allows it to perform a variety of tasks on the harsh environment of the Red Planet. 

NASA’s Mars Rover Concept (Image: Public Domain)

Quite interestingly, Tesla’s CYBRTRK seems to have some design cues that may very well be similar to that of NASA’s Mars Rover Concept. Tesla’s Easter Eggs show the Cybertruck with a smooth sloping hood, high ground clearance, and an APV-like silhouette. The similarities between the two vehicles’ design (at least based on what Tesla’s Easter Eggs have shown so far) are so notable that one can’t be faulted for speculating that the CYBRTRK may be used by Elon Musk’s companies not just as a disruptive pickup on Earth; it may also be used as a basis for a potential SpaceX Mars Rover. 

This sounds very much like a statement from a sci-fi novel, but considering Musk’s habit of doing the unorthodox and implausible, a double-purpose heavy-duty vehicle may actually make sense. Musk likely prefers to have as much overlap between Tesla and SpaceX’s technologies, after all. Last September, for example, Musk stated that Teslas have the potential to work in other planets. “Well, actually, Teslas will work on Mars. You can just drive them, pretty much, because electric cars don’t need oxygen, they don’t need air. So you can just drive them around, no problem,” Musk said during SpaceX’s Starship Q&A session

That being said, creating a crewed Mars Rover from the CYBRTRK’s platform would be incredibly challenging. For a Mars Rover project, SpaceX and Tesla would most likely focus on making the vehicle as light as possible. This is due to the Rover being part of a payload that gets sent to space. Payloads are very expensive, and thus, equipment from the CYBRTRK that’s useful on Earth will likely not be relevant for a vehicle designed for Mars. Performance is also pretty irrelevant in a crewed rover. If Tesla were to design a crewed Mars rover based on the Cybertruck, it would have to create massive modifications to the vehicle in itself, from its battery cooling systems to its equipment. 

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This, of course, would be a pretty challenging endeavor on both Tesla and SpaceX’s part. The difficulties of creating a vehicle capable of traversing a foreign planet from the platform of an Earth-based truck are no joke, after all. Things do get a bit easier if SpaceX ends up using the CYBRTRK platform to create an unmanned Mars Rover. 

Tesla has a lot of experience in autonomous driving, and this could play very well into its advantage if Elon Musk’s private space firm decides to deploy unmanned rovers to explore the Red Planet. With this concept in mind, a tough, lightweight vehicle that’s loaded to the teeth with tech and based on the CYBRTRK platform could make sense. Tesla and SpaceX would still have to overcome massive challenges in creating a space-capable land vehicle from a pickup truck platform, but there’s no denying that the electric car maker’s expertise in designing and making EVs can very well make an affordable, reliable unmanned Mars Rover feasible. 

Inasmuch as these ideas may sound implausible, it should be noted that a Mars Rover project between Tesla and SpaceX will likely not strain either company. The number of rovers needed for the initial years of a Mars mission, crewed or unmanned, will likely be very small, perhaps an order of magnitude less than the rollout of the original Tesla Roadster. Thus, both companies could innovate to the limit based on the CYBRTRK platform and it would not be a difficulty at all. The size of a CYBRTRK-based rover may not even be much of an issue, provided that SpaceX’s Starship rollout goes off without problems. 

Tesla deserves a lot of credit for keeping the CYBRTRK a secret until today. Considering its futuristic cues and Elon Musk’s fond references to the vehicle being a truck worthy of a sci-fi set, the pickup truck may very well be the machine that bridges Tesla and SpaceX, at least to some degree. Even if the only parts of the Cybertruck that can be used for a Mars Rover are its chassis and powertrain, such an overlap will still be incredibly useful. Such ideas are crazy, but they may also be classic Elon Musk.

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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 piggybacks recent Supercharger feature with update that takes it further

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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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