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Tesla Cybertruck sure looks similar to NASA’s Mars rover concept
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.
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.
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.
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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
