The term AGI is often overused without precision. To bring clarity, we define AGI as a system that fulfills three core criteria:
Autonomous Skill Learning: The model must independently teach itself new skills in novel domains, without relying on pre-existing datasets or human intervention.
Safe and Reliable Mastery: It must learn without unintended side effects or catastrophic failures. For example, a kitchen robot learning to cook must not cause a fire during training.
Energy Efficiency: The total energy cost of learning must be comparable to or less than that of a human mastering the same skill.