Becoming Rich with Daily Scavenging APP

Chapter 261: Tech Stocks Plummet


A few days after DeepSeek burst onto the scene.

After countless industry insiders' enthusiasm and professional assessments.

The capital markets finally reacted to the emergence of DeepSeek.

All US stocks related to the AI theme were sold off.

Shares of chip giant NVIDIA experienced a historic plunge, and the Nasdaq Composite Index also fell.

By the close of the day, NVIDIA's stock price had dropped nearly seventeen percent, with market value evaporating by nearly six hundred billion US Dollars in a single day, setting a record for the largest single-day market value loss of a US company.

Aside from NVIDIA, shares of global leading wired and wireless communications semiconductor company Broadcom also fell by seventeen percent, while another semiconductor company AMD saw its market value decrease by six percent, and Microsoft's stock price fell by two percent.

Furthermore, in the AI sector derivatives such as power suppliers, the stock of the United Energy Company of America also dropped by twenty-one percent.

Within a very short period, the entire US stock market lost one trillion US Dollars.

Vast amounts of wealth vanished into thin air.

Global capital trembled.

Major media began reporting extensively.

Of course, to be fair, the primary reason for the sharp fall of the US stock market this time was that the bubble of these tech stocks had inflated too much before.

Various big companies had stirred crazy investor pursuit due to an exaggerated portrayal of intelligent model technology in numerous aspects.

For example, the market value of NVIDIA, a hardware supplier, astonishingly reached that of ten Sinopecs.

But no matter how big the bubble or balloon is, it needs a needle to prick it.

And this time, DeepSeek turned out to be that needle.

The significance of DeepSeek lies in its challenge to the AI big model field, where other big companies believe better hardware yields better results.

Everyone was desperately stacking hardware, raising costs and prices for performance.

Now DeepSeek has emerged, telling everyone that besides stacking hardware, algorithm optimization achieves the same effect.

DeepSeek's pre-training cost is only about five and a half million US Dollars, which is just one-tenth of OpenAI's training cost.

Yet both their performances have been deemed essentially equal by industry insiders.

Anyone with a business sense can see it.

If AI big models are truly marketed to households, becoming necessities like mobile phones.

Then DeepSeek will inevitably eliminate all other AI big models, because this cost-effectiveness is truly irresistible.

In this scenario, choosing to temporarily exit the old stock market to preserve cash is undoubtedly the most rational choice.

This US stock market crash has also finally brought DeepSeek to the forefront of ordinary people's minds, becoming the hottest domestic topic.

Meanwhile, Chen Yiyang and Yang Chengru also flew together, arriving in Beijing City.

"What do you say now, didn't I tell you so before?" Chen Yiyang said to Yang Chengru on the seat beside him.

"It's just my own narrow knowledge base," Yang Chengru said without lifting his head, staring at his phone.

His phone is now filled with various news about DeepSeek.

A few days ago.

Chen Yiyang dragged Yang Chengru to visit the headquarters of DeepSeek's company at a small restaurant.

DeepSeek's Chinese name is Deep Exploration. When Chen Yiyang and Yang Chengru arrived, the company was holding a celebratory banquet.

Chen Yiyang introduced Wen Liangfeng to Yang Chengru and explained to him the epoch-making significance of DeepSeek's AI model.

At that time, Yang Chengru queried Chen Yiyang somewhat incomprehensibly, "Are you saying that this AI big model can get the authorities to issue car manufacturing qualifications to your automobile plant?"

"Because this is an epoch-making product," Chen Yiyang was very confident in DeepSeek or, more accurately, in the information provided by inside news scoops.

Today, under the leadership of Wen Liangfeng, DeepSeek has indeed accomplished what was previously envisioned.

It is destined to drop a bombshell in the technology field.

This bombshell is also bound to earn some preferential treatment for Chen Yiyang from the authorities.

Because there has been a precedent for such things.

Back then, when the United States threatened to ban TikTok and forcibly requested TikTok to sell itself to American businessmen.

TikTok's owner initially planned to acquiesce, directly sell the company for cash.

But he ended up getting firmly supported by the nation, getting two steel pins that prevented him from kneeling.

However, the nation did not just offer verbal support. Shortly afterward, Douyin obtained a payment license harder to acquire than car manufacturing qualifications, leading Douyin's live streaming sales field to take off.

Chen Yiyang did not believe that now that DeepSeek has resolved the problem of the domestic AI model's backwardness, the authorities would still be unwilling to grant this investor a car manufacturing qualification.

But Yang Chengru obviously could not grasp the underlying connections, which is why he had not understood why Chen Yiyang dared to assert that once DeepSeek emerged, Yiyang Automobile would obtain the car manufacturing qualification.

Until now.

DeepSeek's deep-water bomb directly exploded the US stock market's one trillion US Dollars.

Now, even outsiders like Yang Chengru can fully understand the importance of DeepSeek.

Because last time US stocks lost two hundred billion USD, which extinguished two Middle Eastern countries.

But this time, losing one trillion USD, they could only stand by.

After disembarking, Chen Yiyang and Yang Chengru each had their own tasks to handle, so they temporarily split up.

Chen Yiyang, on behalf of Wen Liangfeng and Deep Exploration Company's investors, visited members of DeepSeek's branch in the Imperial Capital.

Additionally, he accepted media interviews, hinting at plans to relocate DeepSeek's branch in Beijing City, exerting some pressure on the authorities.

DeepSeek's branch in the Imperial Capital is full of science students. When Chen Yiyang went there, he chatted with them casually but found that he couldn't connect on the topics, not understanding what they were saying.

So he quietly handed out gifts and prizes to them before going to accept the journalist's interview.

"From the project's incubation early stage, Lin'an City provided policy backing, talent introduction, and critical support such as R&D subsidies. One could say that without Lin'an's excellent business environment, DeepSeek would not have achieved today's results.

Therefore, the company is recently considering whether to relocate all external research teams back to Lin'an, making it the foundation to develop AI big model technology."

"What are the company's plans for the next step?" the journalist asked.

"We plan to open-source DeepSeek," said Chen Yiyang, revealing the most explosive topic of the day.

This idea was undoubtedly proposed by Wen Liangfeng, but this time, it was spoken through Chen Yiyang's mouth.

DeepSeek's advantage lies in its low deployment costs.

In that case, why not choose to open-source DeepSeek directly, guiding more enterprises to integrate DeepSeek.

Not only does this increase DeepSeek's popularity, but it also secures future market share.

For this, Wen Liangfeng said to Chen Yiyang:

"True technological hegemony isn't locked in the code's vault, but in the ecosystem map co-built by millions of developers."

This is the path that Google walked years ago.

Now, DeepSeek is poised to walk it again.

Because for DeepSeek, what's truly valuable isn't the technology developed by DeepSeek now.

But the group of people who researched the current technology of DeepSeek.

As long as this group of people remains, DeepSeek will instead leverage the assistance of global developers to grow rapidly, occupying the AI niche.

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