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Reviewing individual AI outputs doesn't scale. Reviewing failure patterns does, and almost nobody does the second one.

This story is from 2026-08-31. It is preserved in the archive; the latest stories are on the live feed.

Most teams that catch bad AI output catch it one instance at a time, someone notices something's off, fixes that specific case, moves on. Works fine at low volume. Falls apart once output volume grows past what any person can actually look at, because you're now sampling a tiny fraction of what's h…

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  1. 2026-08-31 21:34 · r/artificial
    Reviewing individual AI outputs doesn't scale. Reviewing failure patterns does, and almost nobody does the second one.

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