GM recently took the wraps off the Hummer EV, its first foray into the budding all-electric pickup truck market. Inasmuch as the vehicle’s five-minute video unveiling was compelling, it soon became evident that the impressive feats being showcased by the Hummer EV in its reveal were not necessarily real. Soon, a GM engineer reportedly admitted that the company doesn’t have a fully-functioning prototype of the Hummer EV yet, and the vehicle shown in the unveiling was computer-generated.
Yet despite this, the Hummer EV has garnered a significant amount of praise, even from veteran auto reviewers. Doug DeMuro, one of the most prolific car reviewers on YouTube, remarked that the Hummer EV seemed to be farther along in its development compared to rivals such as the Tesla Cybertruck and the Rivian R1T. This statement unsurprisingly caught the ire of the Tesla enthusiast community, and it did not take long before legitimate arguments against the Hummer EV were dismissed since they were coming from a “Tesla fanboy” angle.
But let’s forget Tesla and the Cybertruck for a minute.
Even if one removes Tesla and its post-apocalyptic steel triangle on wheels out of the equation, the Hummer EV still fails to do justice to the EV efforts of rival automakers, both veterans and newcomers alike. This is especially notable when it comes to the all-electric vehicles that companies like Ford, Porsche, Rivian, and Polestar have created. Compared to the Mustang Mach-E, the Rivian R1T, the Polestar 2, and the Porsche Taycan—even the Ford F-150 Electric—the Hummer EV is barely more than CGI.
This was highlighted by electric vehicle veteran and enthusiast Sean Mitchell, who noted that the display unit Hummer EV showcased in the all-electric pickup’s early reviews had an electrical cord running from the truck to a plug. This is common practice for vehicles that are placed in displays, as it prevents batteries from being discharged. There is only one issue: the Hummer EV is supposed to be equipped with a massive 200 kWh battery, a pack that could, at least theoretically, power the truck’s electronics for weeks on its own.
Granted, later comments from reviewers such as DeMuro noted that they did see a moving Hummer EV display unit during their initial review of the vehicle. This is a low bar, however, as a small motor and a small battery pack could have been used to propel the vehicle. This is something that has not been done by GM’s competitors. Multiple Porsche Taycans were driven onstage during the car’s unveiling, for example, and the Rivian R1T was fully-functioning when it was showcased for the first time. Even the Mustang Mach-E and Polestar 2 had working units that needed no electrical cord when they were unveiled.
With these in mind, as well as the fact that reports have pointed at the Hummer EV only being 18 months into its development cycle, it does seem to be a stretch to argue that the Hummer EV is farther along in its production than its competitors. The F-150 Electric, a truck that Ford notes will be produced in a few years, already has a prototype that is capable of pulling a train car that weighs 1 million pounds. The Rivian R1T, a truck that has spent years in development, recently completed an eight-day rally over 2,000 kms. That’s something that the Hummer EV seems to be capable of doing only in CGI, at least for now.
GM intends to start delivering the Hummer EV in Fall 2021. Rivian, for its part, is aiming to start deliveries of its very-much-production-ready R1T by mid-2021. The Tesla Cybertruck is also poised to begin deliveries by the end of next year.
Watch Sean Mitchell’s take on the Hummer EV’s unveiling in the video below.
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
