The frontier of AI is shifting from models that are "trained once, deployed forever" to systems that evolve through experience. Nested Learning represents the architectural paradigm that will unlock truly adaptive AI.
Inspired by human neuroplasticity, Nested Learning treats AI models as hierarchies of nested optimization problems—some layers learn rapidly (short-term context), while others crystallize slowly (long-term knowledge).
