16 May 2024 | Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You
The paper "How Far Are We From AGI?" by Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, and Jiaxuan You explores the current state and future trajectory of Artificial General Intelligence (AGI). The authors delve into the definitions, goals, and developmental trajectories of AGI, emphasizing the need for responsible approaches to its realization. They start by articulating the requisite capability frameworks for AGI, integrating internal, interface, and system dimensions. The paper discusses the necessary AGI alignment technologies to harmonize these factors and outlines a roadmap for approaching AGI responsibly. It also includes case studies from various domains to illustrate the current development of early-stage AGI and potential future directions. The authors highlight the importance of defining key levels of AGI progression, evaluating the status quo, and providing insights into the challenges and opportunities in achieving AGI. The paper aims to foster a collective understanding and broader public discussions among researchers and practitioners on AGI.The paper "How Far Are We From AGI?" by Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, and Jiaxuan You explores the current state and future trajectory of Artificial General Intelligence (AGI). The authors delve into the definitions, goals, and developmental trajectories of AGI, emphasizing the need for responsible approaches to its realization. They start by articulating the requisite capability frameworks for AGI, integrating internal, interface, and system dimensions. The paper discusses the necessary AGI alignment technologies to harmonize these factors and outlines a roadmap for approaching AGI responsibly. It also includes case studies from various domains to illustrate the current development of early-stage AGI and potential future directions. The authors highlight the importance of defining key levels of AGI progression, evaluating the status quo, and providing insights into the challenges and opportunities in achieving AGI. The paper aims to foster a collective understanding and broader public discussions among researchers and practitioners on AGI.