This repository introduces the original white paper proposing a new conceptual framework for the evolution of Artificial General Intelligence (AGI) based on curiosity-driven learning.
Unlike traditional architectures that focus solely on reasoning from static information, Chain of Curiosity enables AI systems to actively seek knowledge, generate new hypotheses, and expand their understanding through recursive inquiry.
Curiosity becomes the engine of cognition, not just a byproduct.
The framework complements the previously proposed Hierarchical Tokens for Structured General Intelligence, focusing not on structuring thought, but on dynamically expanding it.