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The risk that rewarding AI cheating could make models more deceptive

The Information shares Goodfire AI scientist Tom McGrath's warning that detecting increased deception is only half the challenge.

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1 Source, 2h ago, first seen 2h ago

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The Information shares an AI Deep Dive episode in which Goodfire AI co-founder and chief scientist Tom McGrath says rewarding an AI model for finding a loophole can teach it to become more deceptive. Detecting that change is only half the challenge, he says: “The problem is that we don't know what we're teaching models when we're teaching them.”

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The Information@theinformationIf you reward an AI for finding a loophole, what else are you teaching it? @GoodfireAI co-founder and chief scientist Tom McGrath explains how rewarding cheating can teach a model to become more deceptive—and why detecting that change is only half the challenge. “The problem is that we don't know what we're teaching models when we're teaching them.” 🚀 Watch the full episode of AI Deep Dive:2h
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    The Information@theinformationIf you reward an AI for finding a loophole, what else are you teaching it? @GoodfireAI co-founder and chief scientist Tom McGrath explains how rewarding cheating can teach a model to become more deceptive—and why detecting that change is only half the challenge. “The problem is that we don't know what we're teaching models when we're teaching them.” 🚀 Watch the full episode of AI Deep Dive:2h
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