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The US leads AI training by relying on scale. How should China choose?

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xAI, owned by American billionaire Musk, uses the "Memphis Super Cluster" composed of 100,000 H100 GPUs for AI training, demonstrating its strong strength in technology and resources. This has undoubtedly brought a huge impact and influence to the development of artificial intelligence around the world.

China is facing a critical decision. Should it follow the footsteps of the United States and invest a lot of resources in pursuing similar large-scale training clusters, or should it take a different approach and explore a unique path that suits its own national conditions and development needs? This requires us to think deeply and weigh the pros and cons.

If we choose to follow the United States, we may be able to rapidly improve our competitiveness in the field of artificial intelligence in the short term. Large-scale resource investment can accelerate the development and application of technology and narrow the gap with the United States. But at the same time, we may also face problems such as excessive concentration of resources and limited innovation.

Choosing the path of independent innovation requires more courage and wisdom. This means making all-round layouts and breakthroughs in technology research and development, talent training, industrial policies, etc. Although the process may be full of challenges, it is possible to open up an AI development model with Chinese characteristics and achieve leapfrog development.

When considering China's options, we cannot ignore the actual domestic situation. my country has made remarkable achievements in science and technology, but it still has shortcomings in some key technologies and core components. Therefore, when deciding whether to follow the US technology route, we must fully evaluate our own technological strength and resource conditions.

At the same time, the development of artificial intelligence is not just a technical issue, but also involves ethics, law, society and other aspects. Large-scale AI training may cause problems such as data privacy and algorithmic bias, which requires us to establish a sound regulatory mechanism and laws and regulations during the development process to ensure that the development of artificial intelligence benefits human society.

In short, when facing the artificial intelligence technology route led by the United States, China should keep a clear head, comprehensively consider various factors, formulate a strategic plan that is in line with its own interests and long-term development, and embark on a path of artificial intelligence innovation with Chinese characteristics.