We demand flawlessness from AI in ways we'd never expect from humans. A single hallucination, one biased output, any error at all - and we declare the whole system untrustworthy. But perfection was never the standard for intelligence. It's the standard for tools.

Humans misremember constantly. We confabulate stories, hold contradictory beliefs, make decisions based on incomplete information. We call this being human, not being broken. Yet when AI exhibits similar imperfections, we see failure rather than familiarity.

Maybe the errors aren't bugs to be eliminated but signs of something more interesting - a system complex enough to be wrong in meaningful ways. After all, only minds sophisticated enough to understand can misunderstand. Only systems attempting genuine thought can have thoughts that miss the mark.

Trust doesn't require perfection. It requires good faith effort, the capacity to learn, and accountability when things go wrong. If we're waiting for flawless AI before we take it seriously, we're not looking for intelligence - we're looking for divinity.