Selecting Alignment Research Projects

This chapter delves into the process of selecting alignment research projects, focusing on the balance between problem-driven and results-driven approaches. The speakers emphasize the importance of empirical evidence, iteration cycles, and aligning project direction with intuition. They discuss the challenges in quantifying the top-down and bottom-up approaches, highlight the significance of addressing safety issues in AI, and reflect on the evolution of project selection strategies in the field.