Yeah, people calibrate trust to the median behaviour of the model and get burned by the tail. What makes it harder is that even people who do see the holes often respond with better prompts and more elaborate context. Same trust-the-model move one level up. Hyperscalers aren't incentivized to fight that instinct either. Every "fix" routes more tokens through their meter.