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After its first two days of trading in 2010, electric vehicle maker Tesla had a market cap of just over $2 billion.

R.J. Scaringe, the CEO of EV manufacturer Rivian, is worth that much on his own after his company’s second day on the public market.

Rivian shares popped 57% in their first two days on the Nasdaq, giving the company a market cap of almost $105 billion. Scaringe, who founded Rivian in 2009, owns 17.6 million shares, valued at $2.2 billion, based on Thursday’s closing stock price of $122.99.

Scaringe, 38, lured investors to his vision for an EV company that will sell to both consumers who want to go electric, and companies that are trying to drastically reduce their reliance on fossil fuels. In his letter to shareholders in the IPO prospectus, Scaringe said that in 2012 he moved away from an effort to build an “efficient sports car” and started focusing on how to “maximize impact.”

“We began thinking about the truck, SUV, and crossover segments as they presented a massive opportunity for us to demonstrate how a clean sheet, technology-focused vehicle could eliminate long accepted compromises,” Scaringe wrote. “We wanted to establish our brand by delivering a combination of efficiency, on-road performance, off-road capability, functional utility, and product refinement that simply didn’t exist in the market.”

The company says it has 55,400 pre-orders for its R1S SUV and R1T pickup truck and a contract to build 100,000 electric vans with Amazon by 2030. However, trusting Rivian to assemble the vehicles and deliverthem profitably represents a massive gamble for investors who are already valuing the company higher than traditional auto giants Ford and General Motors. The company has never recorded revenue and expects less than $1 million in sales in Q3.

But business fundamentals aren’t driving the current run-up in EV stocks.

Since Tesla’s relatively tepid IPO in 2010, the EV market has turned into a haven for speculators, with Tesla serving as the catalyst. On a split-adjusted basis, Tesla went public at $3.40 a share. It closed on Thursday at $1,063.51 and is one of only five U.S. companies valued at over $1 trillion.

Maja Hitij | Getty Images News | Getty Images

Others in the space have skyrocketed of late, with China’s Nio valued at $69 billion and California’s Lucid Motors worth about $73 billion four months after hitting the public market.

Nio reported third-quarter revenue of about $1.5 billion and an operating loss of over $150 million.

Lucid just confirmed last month the first customer deliveries of its $169,000 Air Dream Edition sedan were set to begin. In its presentation to to investors, the company projected full-year revenue of $97 million.

Scaringe has control

Tesla is the only one of the group that’s turned into a profitable high-growth business, but it’s still a car company that trades like a software maker. Much of the hype is tied to boisterous CEO Elon Musk, the richest person on the planet, with a net worth of close to $300 billion, mostly tied to his Tesla holdings.

Scaringe, who has a PhD in mechanical engineering from the Massachusetts Institute of Technology, is far from Musk’s financial mark. But he has created a similar ownership structure that gives him outsized authority.

Rivian, which is based in Irvine, California, has two classes of stock. Scaringe owns just 1% of Class A shares, or those held by the broader investor base and available for trading. But he owns 100% of Class B shares, and each one has 10 times the amount of voting control as a Class A share.

Add it all up, and Scaringe, who is also chairman of the board, has 9.5% voting control. His veto power is even greater. That’s because in order to make any major changes at the board level or in the company’s bylaws, the holders of at least 80% of Class B shares would have to go along with the move.

In addition to his hefty equity holdings, Scaringe has the opportunity to dramatically increase his wealth if the company performs well. In January, the board approved an equity award of 6.8 million shares that’s time based and an award of 20.4 million shares, which vest in 12 installments based on where the stock is trading.

The company acknowledges in its prospectus that a bet on Rivian is a bet on Scaringe.

“We are highly dependent on the services and reputation of Robert J. Scaringe, our Founder and Chief Executive Officer,” the company says, in the risk factors section of the filing. “Dr. Scaringe is a significant influence on and driver of our business plan. If Dr. Scaringe were to discontinue his service due to death, disability or any other reason, or if his reputation is adversely impacted by personal actions or omissions or other events within or outside his control, we would be significantly disadvantaged.”

Scaringe isn’t only in generating a windfall from his company’s IPO. Rivian’s corporate backers are sitting on even bigger sums.

Amazon, which invested more than $1.3 billion in Rivian, owns a stake worth $19.7 billion as of Thursday’s close. The company said in September that its equity investments, including Rivian, were worth a total of $3.8 billion.

T. Rowe Price and its funds own shares in Rivian valued at over $16 billion. Global Oryx, a unit of Saudi Arabia’s Abdul Latif Jameel Companies, controls about $14 billion worth of shares, while Ford owns a stake worth $12.6 billion.

WATCH: Who is Rivian’s billionaire founder?

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China’s DeepSeek launches next-gen AI model. Here’s what makes it different

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China's DeepSeek launches next-gen AI model. Here's what makes it different

Anna Barclay | Getty Images News | Getty Images

Chinese startup DeepSeek’s latest experimental model promises to increase efficiency and improve AI’s ability to handle a lot of information at a fraction of the cost, but questions remain over how effective and safe the architecture is.  

DeepSeek sent Silicon Valley into a frenzy when it launched its first model R1 out of nowhere last year, showing that it’s possible to train large language models (LLMs) quickly, on less powerful chips, using fewer resources.

The company released DeepSeek-V3.2-Exp on Monday, an experimental version of its current model DeepSeek-V3.1-Terminus, which builds further on its mission to increase efficiency in AI systems, according to a post on the AI forum Hugging Face.

“DeepSeek V3.2 continues the focus on efficiency, cost reduction, and open-source sharing,” Adina Yakefu, Chinese community lead at Hugging Face, told CNBC. “The big improvement is a new feature called DSA (DeepSeek Sparse Attention), which makes the AI better at handling long documents and conversations. It also cuts the cost of running the AI in half compared to the previous version.”

“It’s significant because it should make the model faster and more cost-effective to use without a noticeable drop in performance,” said Nick Patience, vice president and practice lead for AI at The Futurum Group. “This makes powerful AI more accessible to developers, researchers, and smaller companies, potentially leading to a wave of new and innovative applications.”

The pros and cons of sparse attention 

An AI model makes decisions based on its training data and new information, such as a prompt. Say an airline wants to find the best route from A to B, while there are many options, not all are feasible. By filtering out the less viable routes, you dramatically reduce the amount of time, fuel and, ultimately, money, needed to make the journey. That is exactly sparse attention does, it only factors in data that it thinks is important given the task at hand, as opposed to other models thus far which have crunched all data in the model.

“So basically, you cut out things that you think are not important,” said Ekaterina Almasque, the cofounder and managing partner of new venture capital fund BlankPage Capital.

Sparse attention is a boon for efficiency and the ability to scale AI given fewer resources are needed, but one concern is that it could lead to a drop in how reliable models are due to the lack of oversight in how and why it discounts information.

“The reality is, they [sparse attention models] have lost a lot of nuances,” said Almasque, who was an early supporter of Dataiku and Darktrace, and an investor in Graphcore. “And then the real question is, did they have the right mechanism to exclude not important data, or is there a mechanism excluding really important data, and then the outcome will be much less relevant?”

This could be particularly problematic for AI safety and inclusivity, the investor noted, adding that it may not be “the optimal one or the safest” AI model to use compared with competitors or traditional architectures. 

DeepSeek, however, says the experimental model works on par with its V3.1-Terminus. Despite speculation of a bubble forming, AI remains at the centre of geopolitical competition with the U.S. and China vying for the winning spot. Yakefu noted that DeepSeek’s models work “right out of the box” with Chinese-made AI chips, such as Ascend and Cambricon, meaning they can run locally on domestic hardware without any extra setup.

Deepseek trains breakthrough R1 model at a fraction of US costs

DeepSeek also shared the actual programming code and tools needed to use the experimental model, she said. “This means other people can learn from it and build their own improvements.”

But for Almasque, the very nature of this means the tech may not be defensible. “The approach is not super new,” she said, noting the industry has been “talking about sparse models since 2015” and that DeepSeek is not able to patent its technology due to being open source. DeepSeek’s competitive edge, therefore, must lie in how it decides what information to include, she added.

The company itself acknowledges V3.2-Exp is an “intermediate step toward our next-generation architecture,” per the Hugging Face post.

As Patience pointed out, “this is DeepSeek’s value prop all over: efficiency is becoming as important as raw power.”

“DeepSeek is playing the long game to keep the community invested in their progress,” Yakefu added. “People will always go for what is cheap, reliable, and effective.”

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U.S. Commerce head Lutnick wants Taiwan to help America make 50% of its chips locally

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U.S. Commerce head Lutnick wants Taiwan to help America make 50% of its chips locally

A logo of the Taiwan Semiconductor Manufacturing Company (TSMC) displayed on a smartphone screen

Vcg | Visual China Group | Getty Images

The Trump administration is pushing Taipei to shift investment and chip production to the U.S. so that half of America’s chips are manufactured domestically, in a move that could have implications for Taiwan’s national defense. 

Washington has held discussions with Taipei about the “50-50” split in semiconductor production, which would significantly reduce American dependence on Taiwan, U.S. Secretary of Commerce Howard Lutnick told News Nation in an interview released over the weekend. 

Taiwan is said to produce over 90% of the world’s advanced semiconductors, which, according to Lutnick, is cause for concern due to the island nation’s distance from the U.S. and proximity to China. 

“My objective, and this administration’s objective, is to get chip manufacturing significantly onshored — we need to make our own chips,” Lutnick said. “The idea that I pitched [Taiwan] was, let’s get to 50-50. We’re producing half, and you’re producing half.” 

Lutnick’s goal is to reach about 40% domestic semiconductor production by the end of U.S. President Donald Trump’s current term, which would take northwards of $500 billion in local investments, he said. 

Taiwan’s stronghold on chip production is thanks to Taiwan Semiconductor Manufacturing Co., the world’s largest and most advanced contract chipmaker, which handles production for American tech heavyweights like Nvidia and Apple. 

Taiwan’s critical position in global chips production is believed to have assured the island nation’s defense against direct military action from China, often referred to as the “Silicon Shield” theory.

However, in his News Nation interview, Lutnick downplayed the “Silicon Shield,” and argued that Taiwan would be safer with more balanced chip production between the U.S. and Taiwan.

“My argument to them was, well, if you have 95% [chip production], how am I going to get it to protect you? You’re going to put it on a plane? You’re going to put it on a boat?” Lutnick said. 

Under the 50-50 plan, the U.S. would still be “fundamentally reliant” on Taiwan, but would have the capacity to “do what we need to do, if we need to do it,” he added.

Beijing views the democratically governed island of Taiwan as its own territory and has vowed to reclaim it by force if necessary. Taipei’s current ruling party has rejected and pushed back against such claims. 

This year, the Chinese military has held a number of large-scale exercises off the coast of Taiwan as it tests its military capabilities. During one of China’s military drills in April, Washington reaffirmed its commitment to supporting Taiwan. 

More in return for defense

Lutnick’s statements on the News Nation interview aligned with past comments from Trump, suggesting that the U.S. should get more in return for its defense of the island nation against China. 

Last year, then-presidential candidate Trump had said in an interview that Taiwan should pay the U.S. for defense, and accused the country of “stealing” the United States’ chip business. 

The U.S. was once a leader in the global semiconductor market, but has lost market share due to industry shifts and the emergence of Asian juggernauts like TSMC and Samsung

However, Washington has been working to reverse that trend across multiple administrations. 

TSMC has been building manufacturing facilities in the U.S. since 2020 and has continued to ramp up its investments in the country. It announced intentions to invest an additional $100 billion in March, bringing its total planned investment to $165 billion. 

The Trump administration recently proposed 100% tariffs on semiconductors, but said that companies investing in the U.S. would be exempt. The U.S. and Taiwan also remain in trade negotiations that are likely to impact tariff rates for Taiwanese businesses. 

US still considered a 'check on China' for Taiwan: Former defense minister

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YouTube agrees to pay Trump $24.5 Million to settle lawsuit over suspended account

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YouTube agrees to pay Trump .5 Million to settle lawsuit over suspended account

U.S. President Donald Trump reacts, as he arrives at Joint Base Andrews, Maryland, U.S., September 26, 2025.

Elizabeth Frantz | Reuters

YouTube has agreed to pay $24.5 million to settle a lawsuit involving the suspension of President Donald Trump’s account following the U.S. Capitol riots on Jan. 6, 2021.

The settlement “shall not constitute an admission of liability or fault,” on behalf of the defendants or related parties, according to a filing on Monday from the U.S. District Court for the Northern District of California.

Trump sued YouTube, Facebook and Twitter in mid-2021, after the companies suspended his accounts on their platforms over concerns related to the incitement of violence.

Since Trump won a second term in November and returned to the White House in January, the tech companies have been settling their disputes with the president. Facebook-parent Meta said in January that it would pay $25 million to settle its lawsuit with Trump. The following month, Elon Musk’s X, formerly Twitter, agreed to settle its Trump-related case for roughly $10 million.

In August, several Democratic senators, including Elizabeth Warren of Massachusetts, sent a letter to Google CEO Sundar Pichai and YouTube CEO Neal Mohan expressing their concern over a possible settlement with the president.

The senators said in the letter that they worried such an action would be part of a “quid-pro-quo arrangement to avoid full accountability for violating federal competition, consumer protection, and labor laws, circumstances that could result in the company running afoul of federal bribery laws.”

WATCH: President Trump signs TikTok deal.

President Trump signs TikTok deal: Here's what to know

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