Is the era of massive Transformers coming to an end? In this episode, we explore the paradigm shift toward recursive reasoning models. We break down how architectures like RWKV and AFT are redefining efficiency and how recursive loops in RLM, LADDER, and TRM are outperforming traditional LLMs on complex tasks. Tune in to understand why the future of AI focuses on algorithmic depth, not just scale.