News
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.
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
