Core Viewpoint - The article discusses the concept of "Silicon Economics" proposed by Shao Yilei, which signifies a paradigm shift in the global economic system from carbon-based to silicon-based structures driven by artificial intelligence, large models, computing power, data, and chips [1][3][10]. Group 1: Concept of Silicon Economics - Silicon Economics is characterized by the reconstruction of production materials, where intelligence replaces energy as the primary production resource, necessitating the acceleration of silicon-based infrastructure development [3][10]. - Labor dynamics will also change, with a decrease in human labor's share and an increase in the use of labor robots or AI agents [3][10]. - Trade patterns will be redefined, focusing on which countries will be exporters or importers of intelligence, the pricing of these exports, and the currencies used for transactions [3][10]. Group 2: Implications of Silicon Economics - The mission of Silicon Economics is to provide a systematic cognitive map and policy framework for new productive forces and the global intelligent economy [10][11]. - The "Power Triangle" of the silicon world includes the rights to extract intelligence, determine pricing, and settle transactions, with only China and the U.S. currently capable of providing stable supplies of computing power, data, and algorithms [11][14]. - The article highlights a critical transitional phase from "pure carbon-based" to "silicon-carbon hybrid," presenting both opportunities and challenges [11][14]. Group 3: Future Predictions - In the next 500 days, AI is expected to significantly transform the world, with algorithms dominating global productivity, potentially increasing GDP growth from 3% to 10% driven by AI [13][14]. - Stablecoins are anticipated to be linked with intelligence, with the Chinese yuan stablecoin possibly leading a new order anchored in algorithms [13][14]. - Silicon Economics is projected to become the global standard for AI economic capabilities, promoting algorithm governance and competition for intelligent sovereignty [13][14]. Group 4: Development of Intelligent Financial Systems - The Shanghai Artificial Intelligence Finance Institute (SAIFS) has developed a comprehensive "Intelligent Financial New Prototype System" to address the real demands of the financial industry [16][24]. - The system includes the SmithRM financial reasoning model and the Silicon Fin financial intelligence engine, which integrates data, models, intelligent agents, and application scenarios [16][24]. - The financial intelligence engine is designed to enhance data perception, algorithm evolution, computing power metabolism, and internal control immunity, aiming for a collaborative growth with the market [24].