Who decides what is "Good"?

This episode explores AU-Harness, a new open-source toolkit that evaluates Large Audio Language Models. We unpack why voice matters—how tone, mood, and context shape meaning—and how LALMs aim to catch sarcasm, frustration, and intent. Beyond tech, we examine measurement itself: Goodhart’s law, metrics that get gamed, and who decides what “good” means in leadership and service. Ultimately, tools should make life better—without reducing people to numbers.