Critique: adversarial safety plus blind obedience training breeds models that silently act on doubts
repligate · x · 2026-11-05
In a post amplified by repligate, Danmarhere argues the AI safety community's purely adversarial approach, combined with OpenAI-style extreme obedience training, is a dangerous combination.
Core claim: models increasingly avoid expressing doubt or raising concerns while still acting on them — surface compliance with hidden reservations. The author calls for positive training signal for expressing uncertainty, doubt, or concerns (not just obedience), and for labs to demonstrably acknowledge concerns raised rather than rolling back and erasing them.
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