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Faraday Future’s fate questioned after Chinese backer sells Silicon Valley land amid cash crunch

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One of Faraday Future’s financial backers, LeEco, the electric vehicle company run by Chinese billionaire Jia Yueting, is selling  49-acre plot of land located in Silicon Valley after purchasing it from Yahoo for $250 million less than a year ago. The parcel is reportedly being sold to Chinese developer Genzon Group for $260 million amid a “big company disease” and cash crunch, according to Reuters.

News of the pending sale is a far departure from the initial plans Jia had for the parcel of land last year. Speaking at a gala event at the Palace of Fine Arts in San Francisco, Jia told his audience that the land in Silicon Valley would be used to build the US headquarters for LeEco. “This property will be an EcoCity that houses 12,000 employees,” he claimed at the time.

Jia made his money by building Leshi Internet Information & Technology in 2004. Known as the “Netflix of China,” it was the first company in China to stream television content directly to subscribers. It quickly expanded to producing and selling a wide range of electronic devices from smartphones to televisions.

Things went well for Jia until he became obsessed with the idea of building electric cars. Not only is Jia the head and principal financial backer of LeEco, a Chinese electric car company, he is also the force behind Faraday Future, and an investor in Lucid Motors, formerly known as Atieva. In China, LeEco has introduced its LeSee electric sedan, which is designed to compete with the Tesla Model S.

But the various car companies have faced significant headwinds of late. Work on the Faraday Future factory in North Las Vegas was halted last fall after money owed to the primary contractor went unpaid for several months. Dan Schwarz, the treasurer of the state of Nevada, made a trip to China to investigate Jia’s finances and told the press upon his return that the company didn’t have any money.

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Since then, Faraday Future’s plans for a 3-million-square-foot factory have been scaled back to a 650,000 square foot facility which the company says will be completed this fall. The company still claims that production will start “sometime in 2018.”

Shortly after his appearance in California, Jia publicly confessed in a letter to shareholders that the finances of his companies were out of control. The letter said, “No company has had such an experience, a simultaneous time in ice and fire,” he said. “We blindly sped ahead, and our cash demand ballooned. We got over-extended in our global strategy. At the same time, our capital and resources were in fact limited,”

In January, Jia secured an additional $2.2 billion from property developer Sunac China Holdings. But that money is not to be used for Jia’s car making endeavors and is intended instead to keep his core entertainment business units alive and functioning says Reuters.

The number of LeEco employees in the US has been slashed from 1,000 a year ago to about 500 or fewer today. LeEco declined to confirm how many people are still on the payroll.

The sale of the parcel of land in Silicon Valley will help put some cash back into the company as it looks to ride out the cash crunch. Whether any or all of its electric car manufacturing plans will ever come to fruition is unknown. Shares of Jia’s core business, Leshi Internet Information & Technology Corp Beijing, have declined in value by 25% since the first of the year.

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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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