The White House is looking into national security concerns over Chinese artificial intelligence app DeepSeek after its developer prompted a global tech sell-off.

As Chinese AI application DeepSeek attracts hordes of American users, Trump administration officials, lawmakers and cybersecurity experts are expressing concern that the technology could pose a threat to U.S. national security.

Elon Musk doesn’t miss an opportunity to take a dig at OpenAI — even when the news item in question is supposed to be favorable to President Trump. Just a few hours after yesterday’s White House presser on The Stargate Project wrapped up, Musk posted on X that “they don’t actually have the money.”

White House ‘looking at’ national security implications of Chinese AI breakthrough - DeepSeek says its AI model is similar to US giants like OpenAI, despite fears of censorship around issues sensitive

Silicon Valley and Washington leaders said the app shows China can challenge the U.S. The Nasdaq lost 3 percent and chipmaker Nvidia shed $589 billion in market capitalization.

Shares for leading US chip firm Nvidia dropped by almost 17% on Monday after the emergence of DeepSeek stunned Silicon Valley.

Investors sold technology stocks across the globe over the emergence of the low-cost Chinese artificial intelligence model. Read more at straitstimes.com.

WASHINGTON - US officials are looking at the national security implications of the Chinese artificial intelligence app DeepSeek, White House press secretary Karoline Leavitt said on Tuesday (Jan 28),

According to a statement from OpenAI, “Arm, Microsoft, NVIDIA, Oracle, and OpenAI” are the initial tech partners, with a buildout “currently underway” starting in Texas as other sites across the country are evaluated. It also says that “Oracle, NVIDIA, and OpenAI will closely collaborate to build and operate this computing system.”

The $500 billion Stargate project will be critical to "maintain American leadership in AI," one of the partners said in a statement.

Chinese startup DeepSeek published a research paper in which it claimed to have trained a large language model rivaling the performance of leading U.S. models, while spending much less money than U.S.