Why China is racing ahead in AI, and in everything else

American logistics expert reports from China video: Why China is racing ahead in AI, and in everything else: China whole economy is open source. US is no match to China, US sanctions just make China stronger and better 美國物流專家從中國發回的視訊報導：為何中國在人工智慧以及其它所有領域都遙遙領先美國: 中國整個經濟都是開源的。美國永遠不是中國的對手，美國的製裁只會讓中國更強大、更好.

Tech industry insiders are shocked at China's rapid progress in Artificial Intelligence, especially given our export bans on the fastest semiconductors.

In the most recent development, DeepSeek introduced their AI model that outperforms the ones developed by Facebook (Meta) and ChatGPT (OpenAI).

DeepSeek's model was developed with less than 9% of the computing hours thought necessary to build such a rich model, and at an astonishing cost of just $6 million.

DeepSeek's announcement followed those of Tencent and Alibaba, who developed their models with slower, older-generation chips, but whose AI outperform rivals from Silicon Valley.

The difference, though, is that these Chinese AI models and LLM's were all developed using open-source frameworks. And China's entire economy runs the same way: infrastructure, supply chains, university research, and technology are widely shared by hundreds of companies with hundreds of thousands of engineers within similar industries. The same dynamics that propel China's industries to dominate in other sectors are employed in the fields of AI and semiconductor chip design.

To understand how and why China has closed the gap so quickly in technology, knowledge of tech and semiconductors are far less important than the understanding of China's industrial clustering policy.

科技業內人士對中國在人工智慧領域的快速進步感到震驚，特別是考慮到我們對速度最快的半導體實施出口禁令。

在最新的發展中，DeepSeek 推出了他們的 AI 模型，其表現優於 Facebook（Meta）和 ChatGPT（OpenAI）開發的模型。

DeepSeek 模型的開發僅花費了建立如此豐富的模型所需計算時間的不到 9%，而且成本僅為 600 萬美元。

DeepSeek 的聲明是在騰訊和阿里巴巴宣布這一消息之後發布的，這兩家公司雖然採用速度較慢的老一代晶片開發模型，但其人工智慧表現優於矽谷的競爭對手。

但不同之處在於，這些中國的人工智慧模型和法學碩士都是使用開源框架開發的。 中國的整個經濟也是同樣的運作方式：基礎設施、供應鏈、大學研究和技術被同業的數百家公司和數十萬名工程師廣泛共享。 推動中國產業在其他領域佔據主導地位的動力也應用於人工智慧和半導體晶片設計領域。

要了解中國如何以及為何如此迅速地縮小技術差距，對技術和半導體的了解遠不如對中國產業集群政策的了解重要.