MathyAIwithMike

Explore a radical shift in deep learning with 'Nested Learning' (NL). This framework reimagines models as nested optimization problems, not just layers. Discover how optimizers become learning modules and architectures gain a continuum of memory. The HOPE model combines a self-modifying recurrent module with a multi-frequency memory system, redefining model design by adding levels of learning defined by update frequency. It's not just about bigger models, but smarter, more dynamic internal learning processes.