演讲 | 强化学习之父 Sutton 隔空回应 Hinton：目前的 AI “理解不足，调参有余”

Core Viewpoint - The article emphasizes that AI should not be feared, as it is a natural extension of human intelligence and evolution, and advocates for a decentralized approach to AI governance rather than one based on fear [1][3]. Group 1: Current State of AI - The current consensus is that AI is advancing rapidly, but this should be critically examined as the field may not be progressing as significantly as perceived [6][8]. - AI's current capabilities, such as language processing and image generation, are seen as breakthroughs, but they do not represent the essence of intelligence, which is more about understanding and adaptability [7][8]. - The speaker argues that current AI models are "weak minds," lacking true understanding and reliability, despite their vast knowledge [8][9]. Group 2: Definition of Intelligence - Intelligence is defined as the ability to acquire and apply knowledge and skills, emphasizing the importance of learning [12][13]. - The article critiques the mainstream AI focus on computation and human imitation, suggesting a need for a deeper understanding of intelligence [14]. Group 3: Integrated Science of Mind - The speaker proposes the establishment of an Integrated Science of Mind that applies to humans, animals, and machines, highlighting the commonalities among different forms of intelligence [15][16]. - Reinforcement Learning (RL) is presented as a foundational approach for this new science, focusing on learning through interaction with the environment [18][20]. Group 4: Transition from Data to Experience - The article discusses the shift from the "Era of Human Data," where AI learns from existing human knowledge, to the "Era of Experience," where AI learns dynamically from interactions with the world [25][27]. - This transition is necessary for AI to create new knowledge rather than merely summarizing existing information [26]. Group 5: Principles of Experiential AI - The principles of experiential AI are based on the exchange of signals (experience) between the agent and the world, which forms the foundation of intelligence [36][38]. - The article outlines that the goal of an intelligent agent is to maximize reward signals, which define truth and objectives [39][40]. Group 6: Future of AI and Society - The speaker predicts that the future of AI will involve the creation of superintelligent AI and enhanced humans, which will lead to profound societal changes [44]. - There is a call for decentralized cooperation in AI governance, contrasting with centralized control driven by fear [46]. - The philosophical implications of AI suggest that it is a natural progression in the universe's evolution, and humanity's role is to embrace this development with courage and pride [47][48].