通用人工智能（AGI）已经来了

Core Viewpoint - The concept of Artificial General Intelligence (AGI) is not a distant future but is already present, evolving through recursive processes that enhance its depth and scope [1][9][39] Group 1: AI and Organizational Transformation - The recent government document emphasizes the importance of "intelligent native enterprises," which represent a blend of technology and organizational models that transform production processes [3][5] - The challenge lies in bridging the gap between understanding AI technology and organizational operations, which is crucial for the implementation of AGI [8][18] - The emergence of "unmanned companies" signifies a shift towards AI-driven organizational structures, where AI becomes the primary agent of value creation [11][17] Group 2: Speed of Change and Value Creation - The rapid evolution of AI technologies is reshaping industries at an unprecedented pace, making previous models of operation obsolete [9][23] - Companies must adapt to the accelerated pace of AI development, as traditional business cycles may not align with the speed of technological advancements [26][28] - The focus should shift from merely using AI tools to redefining business models that maximize AI's potential [29][30] Group 3: New Paradigms and AI Thinking - The concept of "intelligent priority" suggests a need for new thinking patterns that prioritize virtual solutions and scalable experimentation [34][36] - The relationship between AI and human roles is being redefined, necessitating a shift in how companies approach collaboration between humans and AI [35][36] - The idea of "unmanned companies" raises questions about the future of business structures in a world where intelligence is evenly distributed, leading to potential economic stagnation [37][39]