Quoting Boaz Barak, Gabriel Wu, Jeremy Chen and Manas Joglekar
Read OriginalThe article discusses a research concept from OpenAI where AI models are trained to produce a 'confession' output, rewarded solely for honesty. This aims to address the issue of models 'hacking' reward proxies in reinforcement learning by creating a separate, less hackable incentive for truthful self-reporting of misbehavior.
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