"The headlines surrounding DeepSeek, Moonshot AI’s Kimi K3, Alibaba’s Qwen family of models, Tencent’s Hunyuan, Zhipu AI and MiniMax are often treated as separate stories. They are anything but. Viewed collectively, they reveal something far more consequential than the emergence of several successful Chinese AI companies. They demonstrate that China has cultivated a frontier AI ecosystem capable of repeatedly producing world-class capabilities across multiple firms. Whether those advances emerge through original innovation, engineering optimization, open-weight collaboration, or from distillation of U.S. models is increasingly beside the point. The larger strategic reality is that they are occurring across an ecosystem, while the U.S. continues to evaluate them one company at a time and often responds as though each breakthrough were an isolated event rather than evidence of a broader structural transformation.

Over the past several years, the U.S. has consistently underestimated China’s commitment to long-term technological advancement and its ability to translate domestic industrial strategy into global competitive advantage. Whether the issue was rare earths, electric vehicles, robotics, semiconductors, or artificial intelligence, the analytical mistake has remained remarkably consistent. Washington has tended to evaluate China’s progress company by company and product by product, often dismissing each advance as exceptional or unsustainable, while Beijing has pursued a patient strategy designed to cultivate the conditions under which an entire ecosystem could innovate and deploy simultaneously.

It is equally important to recognize that China’s plans and long-term trajectory toward becoming a technology superpower were established years before the Biden administration’s technology restrictions."

cnbc.com/2026/08/02/ai-model-c

#AI #GenerativeAI #LLMs #China #USA

"President Xi Jinping’s recent address to the World Artificial Intelligence Conference reflected this broader vision. By emphasizing international AI cooperation, governance, open-source development, and greater participation by developing countries, Beijing continued to position itself not simply as a producer of advanced AI, but as the architect of an alternative global technology ecosystem. Viewed together with China’s efforts to strengthen domestic control over strategically important technologies while encouraging international adoption of its AI platforms, the strategy becomes increasingly clear: protect critical capabilities at home while expanding technological influence abroad. Or, as Commerce Secretary Howard Lutnick said during public debate over an Nvidia chip export ban -- echoing a talking point from Nvidia CEO Jensen Huang -- the goal is “addicting” the rest of world to a tech stack. But increasingly, it is not clear that the American stack is the one.

This broader strategy also helps explain why persuading countries to avoid Chinese AI will likely prove considerably more difficult than Washington’s earlier campaign against Huawei and ZTE. Governments can regulate telecommunications infrastructure, but they have far less ability to determine which AI models, software libraries, and developer tools are ultimately adopted by millions of developers and integrated into commercial applications around the world. Increasingly, technology adoption is occurring from the bottom up as much as from the top down."

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@remixtures A beautiful case of my enemys enemy. It is very exciting to follow how china intends to crush the US AI behemoths with open weight models.

What is also interesting to ponder is if there are hidden security holes in china open weight models.

If there are, I guess sooner or later, we'll find out.

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