外滩大会今年太AI了！王坚暴论：OpenAI确实站在了历史错误的一边

Core Viewpoint - The article discusses the latest advancements and discussions in AI technology, highlighting key insights from industry leaders at the Inclusion Bund Conference, emphasizing the transition to an "experience era" in AI development and the importance of open-source strategies in AI competition [6][10][20]. Group 1: AI Development Insights - Richard Sutton, the Turing Award winner, states that the human data dividend is nearing its limit, and AI is entering an "experience era" focused on continuous learning, which will unlock greater potential [9][10][19]. - Sutton emphasizes the need for new data sources generated through direct interaction between intelligent agents and the world, moving beyond static knowledge transfer [12][14]. - The concept of "experience" in AI involves the exchange of observation, action, and reward signals, which is crucial for developing intelligence [16][17]. Group 2: Open Source and AI Competition - Wang Jian, founder of Alibaba Cloud, highlights that the choice between open-source and closed-source models has become a critical variable in AI competition, especially after the U.S. imposed export controls on closed-source models [20][25]. - He discusses the evolution of open-source from code sharing to resource sharing, which now includes data, computing power, and model weights, significantly lowering the barriers to entry in AI development [26][30]. - Wang Jian's recent project involves deploying a complete AI model into space, showcasing the potential of collaborative resource sharing in advancing AI capabilities [31][35]. Group 3: Future of AI Applications - Yuval Noah Harari, a historian and philosopher, warns that the pace of technological change should not overshadow the need for understanding and governance, emphasizing that true progress is measured by cooperation and empathy rather than speed [60][67][70]. - Zhu Xiaohu from Sinovation Ventures predicts a significant explosion in AI applications next year, particularly in low-code and no-code software, and encourages entrepreneurs to seize opportunities in the AI space [54][57]. - Wang Xingxing from Yushutech believes that the integration of AI and robotics is on the verge of a breakthrough, enabling robots to perform tasks autonomously, although challenges remain in data quality and model alignment [46][50].