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Jay Leno on Elon Musk & EVs: "I think he should get a certain amount of credit for leading the charge" Jay Leno on Elon Musk & EVs: "I think he should get a certain amount of credit for leading the charge"

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Jay Leno on Elon Musk & EVs: “I think he should get a certain amount of credit for leading the charge”

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Jay Leno recently spoke to Yahoo! Finance about Elon Musk, EVs, and shared why he thinks Elon Musk deserves the credit for EVs being popular today. To be quite honest, I feel that it’s obvious that Elon Musk and Tesla are the reasons why EVs are so popular today. Tesla is the leader of the EV market and is the best-selling type of battery-electric vehicle.

I emphasize battery electric since BYD recently topped Tesla in the market with sales of both battery electric and hybrid EVs. Hybrids are not fully electric but rely on both batteries and fossil fuels yet oddly, count as clean vehicles. For this article, I’m focusing only on battery-electric vehicles.

Although EVs are popular today, they were not just a few years ago. Elon Musk had long been advocating for EVs and was often mocked for it by some critics. Leno, who is a comedian, car collector, and the host of Jay Leno’s Garage, told Yahoo! Finance that his interest in EVs was partially sparked by Elon Musk.

“I think he should get a certain amount of credit for leading the charge because before Elon, [people would say] ‘it’s a golf cart,’” Leno told Yahoo! Finance. “People would joke about electric [that] they’re slow and whatever it might be. So I give him a lot of credit for it. I think EV will be the savior of the classic car industry.”

Leno shared the story of when Elon Musk visited him with the Tesla Roadster prototype in 2007.

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“I remember sitting and he said: ‘Well, what I want to do is build charging stations all up and down the coast. And I’m going ‘ok, that’ll happen, that sounds good.’”

Fast forward from 2007 to 2022, Tesla, under Elon Musk’s leadership, owns and operates the largest global, fast charging network in the world. Tesla has over 35,000 Superchargers not just in the U.S. but also throughout the world.

In July, Tesla opened Beijing’s 100th Supercharger. Tesla’s charging network throughout China is important for Tesla’s mission, especially since China is a key leader in the EV market.

Leno told Yahoo! that Elon Musk began building the charging infrastructure around the same time he started building the car.

“When the car debuted, you could drive LA to San Francisco. And now, you can go anywhere in the country. You see a lot of other automakers get into the EV market saying you can charge it anywhere. You can’t really.”

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Eventually, that last statement will be proven false by Tesla as it begins to open up its Supercharging network to non-Tesla EVs. For now, it remains true. Although there are charging stations for EVs, they are not as common as Tesla. In some cases, many charging stations are broken (I’ve seen so many complaints on Twitter and Facebook).

In this article for CleanTechnica published earlier this year, I interviewed the founder and CEO of ChargeSafe, Kate Tyrrell. She wound up being at the mercy of broken EV chargers and it led her to create a business in her region that would help EV charging companies to put safety first.

Note: Johnna is a Tesla shareholder and supports its mission. 

Your feedback is important. If you have any comments, or concerns, or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter @JohnnaCrider1

 

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Johnna Crider is a Baton Rouge writer covering Tesla, Elon Musk, EVs, and clean energy & supports Tesla's mission. Johnna also interviewed Elon Musk and you can listen here

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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo

“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.

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Credit: Grok Imagine

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. 

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“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.”

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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.

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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.

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Credit: xAI/X

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.”

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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. 

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Elon Musk’s xAI closes upsized $20B Series E funding round

xAI announced the investment round in a post on its official website. 

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Credit: xAI

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.”

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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. 

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