Zac Kenton(@ZacKenton1):1/7 Can AI debate reduce reward hacking in RLAIF? Training against a weak LLM judge, RLAIF hacks: reward rises but judge and policy accuracy both collapse. Debate with an adversarial critic maintains judgments, allowing the policy to recover 45% of the performance gap to RLVR 🧵

Zac Kenton

@ZacKenton1

Amplified Oversight team lead @GoogleDeepMind | AGI safety & alignment | Enabling accurate human supervision of superhuman AI.

参加 May 2014

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Zac Kenton@ZacKenton1

2026.08.19 12:38

1/7 Can AI debate reduce reward hacking in RLAIF? Training against a weak LLM judge, RLAIF hacks: reward rises but judge and policy accuracy both collapse. Debate with an adversarial critic maintains judgments, allowing the policy to recover 45% of the performance gap to RLVR 🧵