Reviewing individual AI outputs doesn't scale; reviewing failure patterns does
ClickOk5811 · reddit · 2026-09-01
Argues that fixing bad AI outputs one by one fails at scale. The scalable approach is logging failures with structure to identify patterns—clustering around input types, complexity, or edge cases. This allows designing systemic fixes rather than endless, isolated patches.
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