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Alex Spiro, attorney to Elon Musk, center, departs court in San Francisco, California, US, on Tuesday, Jan. 17, 2023.

Benjamin Fanjoy | Bloomberg | Getty Images

Tesla CEO Elon Musk appeared in a San Francisco federal court on Friday to defend tweets he posted to his tens of millions of followers in August 2018.

The tweets said he had “funding secured” to take his electric vehicle company private for $420 per share, and that “investor support” for such a deal was “confirmed.”

Tesla’s stock trading initially halted after the tweets, then shares were highly volatile for weeks. Musk later said that he had been in discussions with Saudi Arabia’s sovereign wealth fund and felt sure that funding would come through at his proposed price. A deal never materialized.

The SEC charged Musk and Tesla with civil securities fraud after the tweets. Musk and Tesla each paid $20 million fines to the agency, and struck a revised settlement agreement that required Musk to temporarily relinquish his role as chairman of the board at Tesla.

His 2018 tweets also triggered a shareholder class action lawsuit from Tesla investors. They alleged that Musk’s tweets misled them and said relying on his statements to make trades cost them significant amounts of money.

The shareholders’ trades in question took place during a 10-day period before Musk seemed to admit a take-private deal was not going to happen in 2018.

Musk said under oath on Friday that it’s difficult to link Tesla’s stock price to his tweets.

“There have been many cases where I thought that if I were to tweet something, the stock price would go down,” Musk said. “For example, at one point I tweeted that I thought that, in my opinion, the stock price was too high…and it went went higher, which was, which is, you know, counterintuitive.”

A big increase in trading volume after he tweeted

It’s rare for top executives at publicly traded companies to discuss their stock price because any commentary can influence price movements.

Daniel Taylor, director of the Wharton Forensics Analytics Lab and professor at the University of Pennsylvania, analyzed every trade in Tesla stock occurring on Aug. 7, 2018, the day that Musk tweeted. He calculated the total trading volume every minute from the time the market opened through the time of Musk’s tweets about a buyout. 

Taylor found that the trading volume the minute Musk tweeted, at 12:48 p.m. ET that day, was over $350 million, and the trading volume for Tesla shares the next minute was over $250 million. By comparison, the average volume five minutes before Musk tweeted was $32 million per minute. The minute before Musk tweeted, trading volume was $24 million.  

“It is generally true that correlation is not causation,” Taylor told CNBC on Friday, after Musk’s first day on the witness stand. “However, I am unaware of any alternative explanation for a 10-fold increase in trading volume the same minute that Elon Musk tweeted.”

Musk also testified about his low opinion of short sellers on Friday.

“I believe short selling should be made illegal,” Musk said, referring to short sellers as “bad people on Wall Street” who “steal” from other investors. He said they also plant stories in the media to “get the stock to go down” and will “do anything in their power to make a company die.”

Tesla was among the most heavily shorted stocks in August 2018, when Musk made the statements about taking Tesla private. Tesla’s share price surged about 10% during trading that day. Short sellers face enormous losses when shares in a given company climb higher.

Some of the plaintiffs in the trial that’s underway claim that Musk’s “funding secured” tweets were intended to put upward price pressure on Tesla’s stock driving a so-called “short squeeze.”

Musk’s testimony is not yet complete and the court plans to hear from him again on Monday.

WATCH: Musk testifies over tweets

Tesla CEO Elon Musk to testify over 2018 'funding secured' tweets

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Amazon extends Prime Day to four days, starting July 8

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Amazon extends Prime Day to four days, starting July 8

An Amazon worker moves boxes on Amazon Prime Day in the East Village of New York City, July 11, 2023.

Spencer Platt | Getty Images

Amazon is extending its Prime Day discount bonanza, announcing that the annual sale will run four days this year.

The 96-hour event will start at 12:01 a.m. PT on July 8, and continue through July 11, Amazon said in a release.

For the first time, the company will roll out themed “deal drops” that change daily and are available “while supplies last.” Amazon has in recent years toyed with adding more limited-run and invite-only deals during Prime Day events to create a feeling of urgency or scarcity.

Amazon launched Prime Day in 2015 as a way to secure new members for its $139-a-year loyalty program, and to promote its own products and services while providing a sales boost in the middle of the year. In 2019, the company made Prime Day a 48-hour event, and it’s since added a second Prime Day-like event in the fall.

Prime Day is also a significant revenue driver for other retailers, which often host competing discount events.

WATCH: How Amazon is using AI to revolutionize robotics

How Amazon is using AI to revolutionize robotics

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SK Hynix shares extend gains to over 2-decade highs as parent group reportedly plans AI data center

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SK Hynix shares extend gains to over 2-decade highs as parent group reportedly plans AI data center

Illustration of the SK Hynix company logo seen displayed on a smartphone screen.

Sopa Images | Lightrocket | Getty Images

Shares in South Korea’s SK Hynix extended gains to hit a more than 2-decade high on Tuesday, following reports over the weekend that SK Group plans to build the country’s largest AI data center.

SK Hynix shares, which have surged almost 50% so far this year on the back of an AI boom, were up nearly 3%, following gains on Monday. 

The company’s parent, SK Group, plans to build the AI data center in partnership with Amazon Web Services in Ulsan, according to domestic media. SK Telecom and SK Broadband are reportedly leading the initiative, with support from other affiliates, including SK Hynix. 

SK Hynix is a leading supplier of dynamic random access memory or DRAM — a type of semiconductor memory found in PCs, workstations and servers that is used to store data and program code.

The company’s DRAM rival, Samsung, was also trading up 4% on Tuesday. However, it’s growth has fallen behind that of SK Hynix.

On Friday, Samsung Electronics’ market cap reportedly slid to a 9-year low of 345.1 trillion won ($252 billion) as the chipmaker struggles to capitalize on AI-led demand. 

SK Hynix, on the other hand, has become a leader in high bandwidth memory — a type of DRAM used in artificial intelligence servers — supplying to clients such as AI behemoth Nvidia. 

A report from Counterpoint Research in April said that SK Hynix had captured 70% of the HBM market by revenue share in the first quarter.

This HBM strength helped it overtake Samsung in the overall DRAM market for the first time ever, with a 36% global market share as compared to Samsung’s 34%. 

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OpenAI wins $200 million U.S. defense contract

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OpenAI wins 0 million U.S. defense contract

OpenAI CEO Sam Altman speaks during the Snowflake Summit in San Francisco on June 2, 2025.

Justin Sullivan | Getty Images News | Getty Images

OpenAI has been awarded a $200 million contract to provide the U.S. Defense Department with artificial intelligence tools.

The department announced the one-year contract on Monday, months after OpenAI said it would collaborate with defense technology startup Anduril to deploy advanced AI systems for “national security missions.”

“Under this award, the performer will develop prototype frontier AI capabilities to address critical national security challenges in both warfighting and enterprise domains,” the Defense Department said. It’s the first contract with OpenAI listed on the Department of Defense’s website.

Anduril received a $100 million defense contract in December. Weeks earlier, OpenAI rival Anthropic said it would work with Palantir and Amazon to supply its AI models to U.S. defense and intelligence agencies.

Sam Altman, OpenAI’s co-founder and CEO, said in a discussion with OpenAI board member and former National Security Agency leader Paul Nakasone at a Vanderbilt University event in April that “we have to and are proud to and really want to engage in national security areas.”

OpenAI did not immediately respond to a request for comment.

The Defense Department specified that the contract is with OpenAI Public Sector LLC, and that the work will mostly occur in the National Capital Region, which encompasses Washington, D.C., and several nearby counties in Maryland and Virginia.

Meanwhile, OpenAI is working to build additional computing power in the U.S. In January, Altman appeared alongside President Donald Trump at the White House to announce the $500 billion Stargate project to build AI infrastructure in the U.S.

The new contract will represent a small portion of revenue at OpenAI, which is generating over $10 billion in annualized sales. In March, the company announced a $40 billion financing round at a $300 billion valuation.

In April, Microsoft, which supplies cloud infrastructure to OpenAI, said the U.S. Defense Information Systems Agency has authorized the use of the Azure OpenAI service with secret classified information. 

WATCH: OpenAI hits $10 billion in annual recurring revenue

OpenAI hits $10 billion in annual recurring revenue

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