This episode introduces Nested Learning (NL), a new paradigm for machine learning, particularly addressing the challenge of catastrophic forgetting in continual learning. NL reframes a single machine learning model not as a continuous entity, but as a system of interconnected, multi-level optimization problems, each with its own information flow and update frequency.