Core Viewpoint - The article emphasizes the importance of the term "token" in the AI industry, proposing the Chinese translation "模元" (móyuán) to facilitate understanding and communication within the sector and among the general public [3][5][10]. Group 1: AI Industry Transformation - Huang Renxun's keynote at the 2026 GTC conference focused on the restructuring of industries in the AI inference era, highlighting the transition of data centers into "token factories" [2][4]. - The concept of "模元" (token) is presented as a new economic metric in the AI era, serving as a core unit of measurement for information, computing power, and currency [4][6]. - The global daily consumption of tokens has reached 30 trillion, with China surpassing the U.S. in model usage, accounting for over 60% of the global total [4][5]. Group 2: Importance of the Term "模元" - The term "模元" is deemed essential for bridging the gap between technical experts and the general public, facilitating the understanding of AI concepts [5][9]. - Previous translations of "token" were found inadequate, as they either limited the scope to specific fields or lacked clarity, making "模元" a more suitable choice for the AI context [7][8]. - The proposed term "模元" is user-friendly, practical for the industry, and adaptable for future developments in AI, making it a necessary step for the widespread adoption of AI technologies [8][9]. Group 3: Call to Action - The article encourages the adoption of "模元" in academic, industrial, and media contexts to foster a common understanding of AI concepts and promote the integration of AI into various sectors [10]. - The expectation is that using "模元" will help dismantle barriers between professionals and the public, enabling a smoother transition into the AI era [10].