The Bitter Lesson of Agent Frameworks

This blog post explains the challenges of using agent frameworks in AI, emphasizing that the value lies in the reinforcement learning model rather than the abstractions. The author argues that complex frameworks hinder flexibility and learning, advocating for a minimalist approach that allows large language models to utilize their full potential. The post highlights the importance of giving models freedom and restricting capabilities only after evaluating their performance.