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Tesla is releasing a 'Plaid' Cybertruck, and it's a Ford F-150 Raptor Killer
In what seems to be the automotive equivalent of a brazen act intended to show dominance, Elon Musk has announced on Twitter that Tesla will be releasing a “Plaid” version of the Cybertruck. Musk did not provide further details in his tweet, though there is little doubt that the feature will make the already daunting Tri-Motor pickup into something downright scary for its fossil fuel-powered rivals like the Ford F-150 Raptor.
Elon Musk’s Plaid Cybertruck revelation was shared on Twitter late Wednesday. While responding to Tesla owner-enthusiast and Third Row Podcast member Sofiaan Fraval, Musk stated that he would be driving a Plaid version of the all-electric pickup truck for personal use. This came as a pleasant surprise to the EV community, especially since this is the first time that such a version of the Cybertruck has been mentioned.
Elon Musk has mentioned in the past that the Tesla Cybertruck will have the handling and performance of a sports car, and this was highlighted during the vehicle’s unveiling event. Apart from showcasing its strength by having the hulking all-electric pickup pull a Ford F-150 like a rag doll, Tesla also featured the Cybertruck drag racing a Porsche 911, and crushing the iconic sports car in the process. These are bold demonstrations, and each was met with equal parts excitement and skepticism from the auto community.
While the sight of the Cybertruck beating a Porsche 911 in a straight line race was undoubtedly impressive, the feat itself can be explained by the specs of the top-of-the-line all-electric pickup. Tesla lists the Tri-Motor Cybertruck with a 0-60 mph time of 2.9 seconds despite its large size. That’s well within supercar territory, and quicker than the Model 3 Performance and Model Y Performance, both of which are considered by enthusiasts as legitimate canyon carvers.
Interestingly enough, Elon Musk did not reveal if the 2.9-second 0-60 mph time announced for the Tri-Motor Cybertruck simply involves its raw acceleration, or if such time is possible only with the use of a dedicated “Plaid Mode” launch. If it’s the former, then the Cybertruck’s fastest trim may very well be even quicker than expected. That’s a pretty crazy thought, and it could lead some to speculate if a Plaid version of the all-electric pickup is even needed. The short answer to this is a definite “yes.”
The pickup truck market is no longer only about utility. It is also about performance. This is the reason why the Ford F-150 Raptor, a bear of an off-roader that can accelerate from 0-60 mph in 5.1 seconds, has become the poster boy of the modern pickup. The truck market is notoriously brand-loyal, so any new challengers to the segment would have to bring their best just to be recognized. The Cybertruck’s Plaid version does this job perfectly.
Teslas are known for their tech and their crazy acceleration, with cars like the flagship Model S being known to shame supercars left and right on the drag strip. The Cybertruck is the same, and with three motors at its disposal, there is little doubt that Tesla can make it into a pickup truck that can actually dominate segment leaders like the Ford F-150 Raptor in sheer performance. When the Plaid Cybertruck starts deliveries, videos of the vehicle crushing Raptors left and right in on and off-road races will probably be quite common.
Such sights are exactly what the electric car movement needs. While the EV movement has spread in the sedan segment with cars like the Tesla Model 3, and its reach into the SUV market is increasing with vehicles like the Model Y and the Rivian R1S, the pickup market is still dominated by intimidating, gas-guzzling trucks. The Plaid Cybertruck could change all that, provided that Tesla is up to the task.
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
