Challenges and Progress of Self-Play Synthetic Data in AI Models

This chapter discusses the challenges and potential of using self-play synthetic data in AI models, focusing on the evaluation and compute challenges. It explores the progress of GPT-4 and other AI labs in developing self-play, highlighting the possibility of synthetic data working at scale. The chapter concludes with the confidence of researchers in big AI labs that self-play will be successful.