图灵奖得主理查德·萨顿：我们正进入“经验时代”需要一种新的数据源

Core Viewpoint - The emergence of the "Experience Era" in artificial intelligence emphasizes the need for new data sources that evolve with the intelligence of agents, akin to self-play in computer games [1][3][4] Group 1: Scientific Development Trends - The current state of AI is characterized by a reliance on human data, which limits the ability to generate new knowledge and sustain learning [2][4] - The concept of "experience" is defined as the interaction between agents and the world, consisting of observation, action, and reward, which is essential for learning [4][3] - Future advancements in AI will require technologies for continuous learning and meta-learning to fully harness the potential of experience [4][10] Group 2: Political Implications - AI has become a highly politicized issue, with concerns about bias, unemployment, and existential risks prompting calls for regulation and control [5][8] - The fear surrounding AI is often exaggerated and fueled by certain organizations, reflecting a broader human tendency to distrust others [6][8] - The core conclusion is that the prosperity of both AI and humanity relies on decentralized collaboration rather than centralized control [8][6] Group 3: Philosophical Considerations - AI is viewed as a natural extension of humanity's quest for understanding intelligence, which has been a longstanding pursuit in philosophy [9][10] - The evolution of AI is seen as a necessary step in the universe's progression, with humans acting as catalysts in this transition to a "Design Era" [10][11] - The unique role of humans is to elevate design to unprecedented levels, ultimately leading to the creation of self-designing entities [11][10]