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Tesla pickup truck could be ready for a summer unveiling, says Elon Musk
During the company’s Q4 2018 earnings call, Elon Musk provided an update on the Tesla pickup truck’s reveal date. While addressing some of the questions submitted by retail investors, Musk noted that the Tesla Truck might be ready to be unveiled this coming summer. Echoing his previous statements about the vehicle, the CEO once more highlighted that the truck would be quite different from those in the market today.
“(As for the) Tesla pickup truck, we might be ready to unveil that this summer. It will be quite unique — unlike anything in the market,” Musk said.
The pickup truck industry is a large, potentially lucrative market for Tesla, especially considering that the segment is home to the United States’ best-selling vehicle — the Ford F-150. With this in mind, the pickup truck segment is ripe for electric disruption, and it is a market that electric car makers and even legacy automakers are looking to tap into. Electric car startup Rivian, for one, has taken the wraps off the R1T luxury pickup truck. Veteran carmaker Ford, on the other hand, has announced that the beloved F-150 would have an all-electric option in the near future as well.
In a way, the pickup truck market fits perfectly with the characteristics of electric vehicles. EVs, for one, have immense torque, which would be useful for hauling cargo — a task usually undertaken by pickup trucks. This is something that Rivian has focused on with its R1T pickup, with CEO RJ Scaringe stating in a recent interview that the luxury truck could actually tow far beyond its listed capacity of 11,00 pounds. Elon Musk, for his part, lightly noted on Twitter that the Tesla pickup truck would have a towing capacity of 300,000 pounds.
While very little is actually known about the Tesla pickup truck, Elon Musk has gone on Twitter last year to brainstorm some of the vehicle’s possible features. Musk responded positively to several suggestions from his followers, though he did note that the truck would have four-wheel steering, the capability to park itself, seating for six people, and a 240-volt connection for power tools.
Musk has been pretty transparent about his excitement for the vehicle. During his guest appearance at the Recode Decode podcast, Musk noted that among Tesla’s future projects, he is most excited for the pickup truck, which he describes as a “super futuristic” vehicle that would not look out of place in the Blade Runner franchise. Musk even noted that he is really unsure if the vehicle will be successful, but if it does not get well-received by the market, Tesla would be releasing a more conventional pickup truck.
“I can’t talk about the details, but it’s gonna be like a really futuristic like cyberpunk, Blade Runner pickup truck. You know, I actually don’t know if a lot of people will buy this pickup truck or not, but I don’t care. I mean I do care, eventually, you know. Like sure, I care. We wanna get gasoline, diesel pickup trucks off the road. So, anyway, that’s personally I’m most excited about. But like I said, it could be just like, okay, I weirdly like it and other people don’t. That’s possible. But we’re gonna make it anyway, and then we will just have a niche audience, I don’t know. But if it does, then we’ll make a more conventional pickup truck,” Musk said.
Musk later noted in the podcast that he is already iterating designs for the Tesla Truck with Chief Designer Franz von Holzhausen. Ultimately, Musk hopes that the vehicle would be something that people would want to buy, even if they are not into pickup trucks. If Elon Musk’s estimates in the recently held earnings call are any indication, it might not take too long before the company to take the wraps off its latest and possibly most ambitious vehicle yet.
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.