Banger paper from Microsoft and colleagues. We talk about human taste being important in this AI era. But for recursive self-improvement, an agent's taste also matters. The big question is: How often do frontier agents pick the better direction at a decision point in a long task? It's apparently just under 60% of the time, according to Taste-Bench. In this benchmark, each question shows a point in a trajectory where several directions are open, and one leads to a better outcome. The forks…