Core Insights - The consumption of Tokens may become a key economic indicator in the AI era, similar to how electricity consumption was used in the power era [1] - The Smart Computing Innovation Forum held in Hangzhou focused on advancements in AI technologies and their applications across various disciplines [1] - Enhancing model inference efficiency and reducing Token production costs are essential for optimizing AI systems [1] Group 1 - The Smart Computing Innovation Forum was co-hosted by Zhejiang Zhijiang Laboratory and the American Association for the Advancement of Science, attracting experts to discuss AI technology advancements [1] - The CEO of Jieyue Xingchen emphasized the importance of collaborative design between industry players to improve model inference efficiency [1] - The technical chief of the scientific model department at Zhijiang Laboratory highlighted the need for encoding diverse scientific data into a unified digital identifier (Token) for effective model training and inference [1] Group 2 - The application of intelligent systems in unpredictable environments is increasingly important, as noted by a professor from the University of Alberta [2] - The collaboration between different intelligent agents and between humans and intelligent agents in China has shown promising results, making it an excellent testing ground for new technologies [2] - The publisher of the Science series journals emphasized the need for international scientific collaboration to unlock new possibilities [2]