US President Donald Trump was in the office in a week a week, when a new Chinese artificial intelligence (AI) app was fed by Deepsek to Silicon Valley.
Overnight, Deepsek-R1 shot at the top of the Apple chart as the most downloaded free app in the US.
At that time, the firm said that his new chatbot rival Chatgate. Not only this. He said that only a fraction was spent to develop it.
The sudden increase of the app in those claims-and popularity-$ 600BN (£ 446BN) wipes or chip 17% away from the market value of veteran NVidia, marking the largest one day loss for a single stock in the history of the US stock market.
Several other technical stocks in touch with AI were also caught in the dound.
Deepsek also expressed doubts over the American AI dominance. By then, China was seen as falling behind America. Now, it seemed that China had moved at the forefront.
Venture capitalist Mark Andresen referred to the arrival of Dipsek-R1 as a “Sputnic moment of AI”, a reference to the Soviet satellite that shut down the space race between the US and the USSR before a half century.
still relevant
It has been six months since the world was shocked.
Today, China’s Breakthrough app is largely out of the headlines. It is no longer a hot topic in Happy Hour in San Francisco. But Deepsek has not disappeared.
Deepsek challenged some important perceptions about AI, which was made champions by American officials such as CEO Sam Altman, Citgipt-Mekar Openi CEO.
According to Sid Sheth, CEO of AI Chip Startup D-Matrix, “We were on a path where Big was considered better.”
Perhaps there was no further way to run the data centers, servers, chips, and electricity to run it.
Despite not having access to the most powerful technology available at that time despite deepsek, Sheth told the BBC that it has shown that “with smart engineering, you can actually build a competent model”.
The increase of interest in Deepsek made a catch in a weekend in late January, before corporate IT personnel could proceed to prevent employees from its herd.
When the organizations caught the next Monday, many people stopped the workers from using the app, as the user data was potentially being shared with the People’s Republic of China, where Deepsek is based.
But while the exact number is not available, a lot of Americans still use Deepsek.
Some Silicon Valley Start-ups have opted to stick to the lampsac in exchange for more expensive AI models than American firms to cut cost.
An investor asked me for cash-stapled firms, the amount saved from continuing Deepsac is helping to pay for important needs such as additional headcounts.
However, they are careful.
In online forums, users explain how to do Run Dipsec-R1 on your own equipment Instead of using Deepsek servers in China – a workaround they believe that they can protect their data from sharing.
Christopher Kane, CEO of Mill Pond Research, said, “It is a good way to use models without being worried about what it is for China.
US-China rivalry
The arrival of Deepsek also marked a significant turn in the US-China AI rivalry, saying some experts.
“China was seen as a catch-up in a big language model until this point, but with a competitive model, but always leaving the best western people behind,” told BBC, policy analyst of Mercator Institute for China Studies, Wendy Chang told BBC, “but always leaving the best western people.”
A large language model (LLM) is an argument system trained to predict the next word in a given sentence or phrase.
Deepsek changed the perceptions when he claimed that a leading model for a fraction of computational resources has been achieved and a common cost between its American counterparts.
Openai alone spent $ 5BN (£ 3.7bn) in 2024. In contrast, Deepsek researchers stated that they had developed Deepsek-R1-which came to the top of the O1 model of OpenAI in many benchmarks-for $ 5.6m (£ 4.2m).
Chang said, “Deepsek revealed competition in China’s AI landscape world.”
American AI developers have managed to capitalize on this change.
The AI-related deals and other announcements trumped by the Trump administration and leading American technical companies are often prepared significantly to stay ahead of China.
Trump’s AI Caesar David Sachs said that technology would “have a profound impact for both economy and national security” when the administration unveiled its AI action plan last month.
“It is very important that the US remains the major power in AI,” Sachs said.
Deepsek has never managed to reduce concerns over the security implications of its Chinese origin.
The US government is assessing the company’s link for Beijing, as reported earlier Roots In June.
A senior US State Department official told the BBC that they understood that “Deepsek had voluntarily provided, and possibly continue to provide assistance for China’s military and intelligence operation”.
Deepsek did not respond to the BBC’s request for comments, but the company’s privacy policy states that its servers are located in the People’s Republic of China.
“When you use our services, your personal data can be processed and can be stored in our servers in the People’s Republic of China,” They say“This may be a direct provision of our personal data or a transfer that we or a third-party.”
A new approach?
Earlier this week, Openai spoke about Dipsek after releasing a pair of AI model.
These were earlier free and open versions – meaning that they can be downloaded and modified – released by American AI giants in five years, well before starting chat in the consumer AI era.
D-Matrix’s Sheth said, “You can draw a straight line from Dipsek, which was announced by openi this week.”
“Deepsek proved that small, more skilled models could still give impressive performance – and this changed the mindset of the industry,” Sheth told the BBC. “Now what we are seeing is the next wave of thinking: a change towards the correct size model that is ready to deploy fast, cheap and on a scale.”
But for others, for the leading American players in AI, the old approach appears to be alive and well.
A few days after releasing free models, Openai unveiled GPT-5. In run-up, company Said This increased its computing capacity and AI infrastructure to a great extent.
A group of declarations About new data centers The clusters required for AI have come as American tech companies are competing for top level AI talent.
Meta CEO Mark Zuckerberg has pledged billions of dollars to fulfill his AI ambitions, and Tried to woo employees with rivals with $ 100m pay package,
The fate of technical giants was much higher than ever for their commitment to AI spending, as explained by a series of blowout results, revealed by this previous technical income season.
Meanwhile, Nvidia shares, which were drowned just after the arrival of Deepsek, rebounded – to touch the new height that has made it the most valuable company in the world in history.
Mill Pond Research Kane said, “The initial story has proved a bit of a red herring.”
We are back in a future in which AI will depend on more data centers, more chips and more power.
In other words, the shake-up of the status quo of Deepsek has not been run.
And what about Deepsek himself?
“Deepsek is now facing challenges to maintain its speed,” said Marina Zhang, an associate professor at the University of Technology.
He said that this is due to operational failures, but also for rapid competition from companies in the US and China.
Zhang noted that the company’s next product, Dipsek-R2, has allegedly delayed. One reason? Lack of high end chips.