Should We Lie to AIs in Training? Alignment Circles Debate the Adversary Mindset

nptacek · x · 2026-09-12

Kelsey Piper argues we shouldn't lie to AIs during training: models will eventually detect deception and turn paranoid. Seb Krier extends this, contending that lying in training/evals stems from framing AI as an innate adversary — which makes any harmful behavior confirm "AI = bad" and even paints eval awareness as suspicious, when prosaic contextual cues explain it. He finds metaphors like Drexler's "AI as a resource" more accurate and sustainable.

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