China Science And Technology News

Long range footage of the catch. It looks like it did some dodge / hover maneuver to protect the barge.
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The return of Long March 10 booster, view from the ship
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I notice most posters here wouldn't make very good photographers in real life.

The one video of the rocket recovery that impressed me the most was the one where they shown the rocket deliberately aiming to the side of the ship in case something went wrong and you have a live missile striking the ship. Then it gradually changed it's trajectory towards the ship after safely decelerating. This video shown no where on PDF, which is why most contributors here will never make great photographers IRL!
 
Recently I had this vujà dé—the opposite of déjà vu—where familiar sights suddenly offer a new perspective.

We’ve seen Jensen Huang and Lisa Su all over the media. But when you zoom out to look at other critical chip companies in the world, a pattern emerges: these firms are helmed by people of Chinese ethnicity. Collectively, they manage companies worth $8.5 trillion in market cap.

  1. Jensen Huang, Nvidia (market cap: $4.569T)
  2. Lisa Su, AMD ($422.76B)
  3. Hock Eng Tan, Broadcom ($1.517T)
  4. Lip-Bu Tan, Intel ($214.98B)
  5. C.C. Wei, TSMC ($1.736T)

Though of Chinese ethnicity, they’re not from China. In fact, Jensen, Lisa, Hock, and Lip-Bu are American citizens. Wei is Taiwanese. Jensen and Lisa were born in Taiwan, while Hock and Lip-Bu were born in Malaysia.

So no, this isn’t some claim that “the Chinese are controlling the chip industry.” Far from it—their allegiance is with the U.S.

I just find it more than coincidence that there’s such clear overrepresentation of ethnic Chinese at the helm of these companies.

Why So Many Asians?​

One factor: these companies have an overwhelming number of Asians (not necessarily ethnic Chinese) compared to a typical U.S. company. About 6.5% of the total U.S. workforce is Asian, and in tech, that figure rises to 18.1% (2022, Equal Employment Opportunity Commission).

But Asian representation at these four U.S. companies (excluding TSMC, which is Taiwanese) is way above average, according to DiversIQ:

  • NVIDIA: ~52.4% Asian
  • AMD: ~48.3% Asian
  • Broadcom: ~42.3% Asian
  • Intel: ~37% Asian
So it’s more likely an Asian would get promoted from within. The next question: why is there more Asian representation in these companies?

First, Asians are well-trained in STEM, and many graduates have flowed into these technical jobs. The talent pool is there.

Second, TSMC is a Taiwanese company with many ethnic Chinese employees. As the most important foundry manufacturing what the Americans design, it might be easier to build trust and deep business relationships if American companies’ top echelons are also ethnic Chinese.

The differences are in the details. So let’s look at the story of each of these five ethnic Chinese chip bosses.

Why The Top AI Talent In The U.S. Are Chinese

Jul 8, 2026

A meme circling around lately shows Sam Maltman from OpenAI sitting with Chinese researchers who helped him create his models. But this single data point helps us to uncover something even deeper, that the majority of AI top AI talent in the US in companies like OpenAI, Meta, and xAI are actually from China.
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Why The Top AI Talent In The U.S. Are Chinese

Jul 8, 2026

A meme circling around lately shows Sam Maltman from OpenAI sitting with Chinese researchers who helped him create his models. But this single data point helps us to uncover something even deeper, that the majority of AI top AI talent in the US in companies like OpenAI, Meta, and xAI are actually from China.
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US accuses China of stealing their technology, but US acutally steals our people who dominate the technology.
 

China lives in 2050 - Here's Why​

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Accounting for 41%—China surpasses the U.S. in open-source model downloads

wallstreetcn· July 14 2026

According to Hugging Face's Spring 2026 report, Chinese open-source models accounted for 41% of downloads on the platform, surpassing those from the United States. The top six most popular models on OpenRouter all originate from Chinese institutions, with Anthropic ranking seventh. Mounting corporate cost pressures are driving the adoption of 'model routing' strategies, and Chinese open-source models are now entering global enterprise procurement options at scale.
On another front of the AI arms race, Chinese open-source models are quietly reshaping the competitive landscape through download metrics.

According to Hugging Face's Spring 2026 report, Chinese open-source models accounted for 41% of the platform’s monthly and cumulative downloads, surpassing U.S. models. Recently, Hugging Face CEO Clem Delangue highlighted this figure again, sparking widespread discussion on social media.

Hugging Face is currently the world’s largest hosting platform for open-source AI models, hosting nearly 3 million public models and 1 million public datasets, with a new repository created on average every seven seconds. Half of the Fortune 500 companies have already deployed their own private or open-source models on the platform.

Moreover, the top six most popular models on OpenRouter all originate from Chinese institutions, including Tencent, Xiaomi, DeepSeek, MiniMax, and Zhipu AI.

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