Nested Learning: The Illusion of Deep Learning Architectures

Why do today's most powerful Large Language Models feel... frozen in time? Despite their vast knowledge, they suffer from a fundamental flaw: a form of digital amnesia that prevents them from truly learning after deployment. We’ve hit a wall where simply stacking more layers isn't the answer.
This episode unpacks a radical new paradigm from Google Research called "Nested Learning," which argues that the path forward isn't architectural depth, but temporal depth.
Inspired by the human brain's multi-speed memory consolidation, Nested Learning reframes an AI model not as a simple stack, but as…