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Elon Musk’s Tesla pickup truck will likely have few competitors from legacy auto
Elon Musk admits that while Tesla probably has the most exciting product roadmap in the industry today, he has a soft spot for the company’s upcoming pickup truck. In a recent appearance at the Recode Decode podcast hosted by veteran tech journalist Kara Swisher, Musk stated that the Tesla Truck would be “super futuristic,” to the point where it would not look out of place in the Blade Runner franchise.
Musk candidly added that if the first pickup, with its cyberpunk tech and features, proves too radical for the market, then Tesla would release a more conventional truck. Ultimately, it remains to be seen if the company would breach the pickup market through Elon Musk’s Blade Runner cyberpunk truck or a more conventional pickup, but one thing is sure. Tesla would soon be competing in America’s most lucrative auto segment.
It could be argued that pickup trucks are the quintessential American vehicles. In 2017 alone, pickup truck sales across the US accounted for 16.4% of the country’s total car sales. Within this number were nearly 900,000 Ford F-Series pickups and about 950,000 GM-branded trucks. Speaking to Trucks.com last January, Michael Ramsey, an automotive analyst at Gartner Inc., noted that in several areas in the US, a truck is a preferable vehicle for consumers.

“In many areas of the country, the truck is just the preferred lifestyle look. They handle much better than before, and with the aid of technology, are even easier to navigate in tight spaces. The U.S. is ideally suited to bigger vehicles because of big parking spaces and roads,” the auto analyst said.
While the disruption of the auto industry with electric-powered vehicles could be felt in the passenger car market thanks to vehicles like the Tesla Model 3, the EV movement is yet to breach the pickup truck segment. EV startups like Bollinger Motors and Rivian are working on all-electric pickup trucks, but both companies are still building facilities capable of manufacturing vehicles on a mass scale. Rivian, for one, is tooling its 2.6 million sq ft factory in Normal, IL. Legacy automakers, which actually have the necessary infrastructure to mass produce all-electric trucks, have mostly taken a rather conservative stance.
Ford has noted that it is developing a hybrid version of its best-selling F-150 pickup truck. In a post on its official website, the company stated that the F-150 hybrid would be a vehicle with no-compromises, “from low-end torque for extra pulling power to serving as a mobile generator on the job site.” Ford, though, has not announced an official release date for the vehicle, though there is speculation that the legacy automaker would launch the hybrid truck around 2020.

GM, on the other hand, recently took an even more conservative stance. In a statement to the Detroit Free Press, vice president of global strategy Mike Abelson declared that GM would lead the EV industry in the “next decade or so.” Despite this, Abelson noted that its core business — comprised of large, gasoline and diesel-powered pickup trucks — would remain intact for the next couple of decades.
“The core business is going to be the core business for a couple of decades to come. There will not be any AV/EV pickups,” Abelson said.
With legacy automakers seemingly taking their time once more, Elon Musk’s Blade Runner truck might end up being one of the first movers in the electric pickup market. And if there is anything that could be learned in the domination of the Model S and 3 in their respective segments, ignoring Tesla and the potential of its vehicles could be a pretty big mistake.
In a brief brainstorming session on Twitter earlier this year, Elon Musk accepted suggestions for features that would be useful for the upcoming Tesla pickup truck. Among these include four-wheel steering, the capability to parallel park itself, seating for six people, a 240-volt connection for power tools, and a maximum towing capacity of 300,000 pounds. Tesla is yet to provide a teaser for the release date of its pickup truck, though speculations are high that the vehicle would be announced after the Model Y, which is expected to be unveiled in 2019.
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.