Atharv Gyan

Artificial Intelligence (AI) revolution, the concept of Artificial General Intelligence (AGI) is increasingly attracting attention. AGI, a term coined by Mark Gubrud in 1997, refers to a type of AI that possesses the ability to understand, learn, adapt, and implement knowledge across a wide range of tasks at a level equal to or beyond that of a human being. But what if, instead of one monolithic AGI, we find ourselves in a world populated by groups or clusters of AGIs interacting with each other? This concept, which I call  Artificial General Intelligence (AGI) , offers a new perspective on AGI. It proposes that AGI, rather than being a singular entity, could evolve into a complex system of multiple interacting agents [1]. In the same way that humans tend to form groups for social, political, cultural, and scientific reasons, we can anticipate that multiple AGI agents will do the same.  What exactly does this mean? And why is it a more realistic depiction of where the world of AI is he