Teaching Claude why
Summary
Anthropic discusses Claude alignment research focusing on agentic misalignment, training methods, and the impact of data quality and out-of-distribution generalization. It describes how constitutional and high-quality data improve alignment, the limitations of training on demonstrations, and the benefits of more diverse safety environments. The piece highlights the role of the difficult advice dataset and constitution-based training in reducing misalignment and discusses persistence through RL and future challenges.