A practical rule for AI risk: if a missed mistake costs more than review, supervise
gerardsans · x · 2026-09-02
The author offers a rule for AI use: if the cost of a missed mistake exceeds the cost of reviewing, you're exposed—human supervision is mandatory for high-stakes work. The original post being replied to details AI's failure modes: fabricating details when information is missing, silently ignoring instructions, failing quietly, and compounding inaccuracies over repeated use—the "telephone game" of AI slop where quality degrades at each step.
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