Epistemoverse: Toward an AI-Driven Knowledge Metaverse for Intellectual Heritage Preservation
It addresses the problem of AI's cognitive limitations for researchers and cultural preservationists by proposing a novel metaverse framework, though it appears incremental in building on existing interactive AI concepts.
This study challenges the view of LLMs as 'stochastic parrots' by showing that in dialogical contexts, they can develop emergent conceptual structures and reflective questioning, as demonstrated through AI-reincarnated philosophers in interactive art installations, leading to the proposal of the Epistemoverse for AI-driven intellectual heritage preservation.
Large language models (LLMs) have often been characterized as "stochastic parrots" that merely reproduce fragments of their training data. This study challenges that assumption by demonstrating that, when placed in an appropriate dialogical context, LLMs can develop emergent conceptual structures and exhibit interaction-driven (re-)structuring of cognitive interfaces and reflective question-asking. Drawing on the biological principle of cloning and Socrates' maieutic method, we analyze authentic philosophical debates generated among AI-reincarnated philosophers within the interactive art installations of the Syntropic Counterpoints project. By engaging digital counterparts of Aristotle, Nietzsche, Machiavelli, and Sun Tzu in iterative discourse, the study reveals how machine dialogue can give rise to inferential coherence, reflective questioning, and creative synthesis. Based on these findings, we propose the concept of the Epistemoverse--a metaverse of knowledge where human and machine cognition intersect to preserve, reinterpret, and extend intellectual heritage through AI-driven interaction. This framework positions virtual and immersive environments as new spaces for epistemic exchange, digital heritage, and collaborative creativity.