The US has another big move. In November this year, the Trump administration issued an executive order to launch a national-level AI research strategy code-named "Genesis Plan"—some describe it as "the Manhattan Project of the AI field," with considerable ambition.

The core of this plan is to create the American Science and Security Platform (ASSP), using AI to completely transform the research model. The goal sounds straightforward: to double America's research output and influence within ten years. Sounds outrageous? But the numbers are right in front of us.

How is it done on a large scale? The Department of Energy leads the establishment of an AI experimental platform, gathering over 100PB of scientific data from 17 federal departments and mobilizing computational resources from 17 national laboratories. The optical supercomputer will build a cluster with a scale of 500 EFLOPS – this is simply a rhythm of piling up resources. An AI robotics laboratory network has also been deployed, covering strategic fields such as energy, biotechnology, quantum information, and semiconductors.

On December 18th, the Department of Energy signed an agreement with OpenAI, NVIDIA, Microsoft, and 24 other organizations to officially advance cooperation. This is not just talk; it’s real action. The plan requires a list of 20 national challenge items to be compiled within 60 days, and the results of concept validation to be presented within 270 days, forming a closed loop in AI research.

The logic behind this is actually to transform the advantages of data and computing power into the core barriers of basic research and hard technology through a national model of "government coordination + market collaboration". Breakthroughs in areas such as energy, chips, and biotechnology will ultimately affect the landscape of global technological competition. This will have a chain reaction on the long-term direction of the technology industry, capital markets, and even the Web3 ecosystem.