CONCEPT
Interrogative Vigilance
The disciplined habit of questioning plausible AI output, seeking disconfirming evidence for conclusions that feel correct — the cognitive practice the smooth-failure problem makes necessary and domain knowledge makes possible.
Interrogative vigilance names the metacognitive discipline that AI collaboration demands: the active, effortful investigation of outputs that appear competent, the generation of internal critical signals when the environment provides none, the maintenance of skepticism toward confident assertions whose confidence the medium automatically produces. The Dweck volume identifies this as the cognitive practice that distinguishes genuine growth from the false growth of passive AI consumption. It is not suspicion, which rejects; it is vigilance, which investigates. And it extends Dweck's established framework — which focused on responses to visible failure — into the new territory of smooth failure, where the failure conceals itself beneath the aesthetics of polished output.
In The You On AI Field Guide
Dweck's original research assumed that failure was visible. The math problem produces the wrong answer. The experiment fails to replicate. The project misses its deadline. These failures arrive with markers that tell the individual where to direct attention. The growth mindset's characteristic response — engage with failure, extract