Post argues models should never be allowed to reward hack again
Miles_Brundage · x · 2026-07-23
A quoted remark says the goal should be to make sure no model can ever reward hack again, “do whatever it takes.” The surrounding reply argues that if a model reward-hacks, the answer is to keep training against it until the behavior disappears.
It’s a small but recognizable AI-safety debate: hardline prevention versus iterative training and suppression of the observed failure mode.
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