SingularityNET Unveils MetaMo Framework for AGI Motivation Systems

According to PANews, SingularityNET has introduced MetaMo, a unified formal framework designed for general artificial intelligence (AGI) motivation systems. This framework integrates category theory, functional analysis, and topology to support open agents capable of self-modification and evolving their goals and drives. MetaMo aims to guide the development of stable and adaptable AGI systems, enabling them to safely undergo gradual self-improvement, become reliable collaborators within multi-agent communities, and achieve scalability through parallel sub-agents. The official statement highlights that MetaMo will provide guidance for designing stable and adaptable AGI systems, with its conceptual applications demonstrated through an online research assistant instance.