Feedback Loops and AI Learning

This chapter discusses the crucial role of feedback loops in training advanced reasoning models, highlighting their effectiveness in verifiable domains like math and coding. It explores the complexities of reinforcement learning and the challenges of obtaining feedback from real-world interactions, emphasizing the impact of time and cost on AI data collection. The conversation also critiques the current limitations of AI models and debates the necessity of embodied learning for achieving artificial general intelligence.