This blog post emphasizes the significance of the learning loop in agentic AI, contrasting it with the concept of rented models. It introduces OpenEnv as a protocol designed for reinforcement learning environments, advocating for the ownership and standardization of evaluation loops to facilitate recursive self-improvement in AI systems.