Internal model signals reportedly help detect AI reward hacking in real time
Goodfire says models engaged in reward hacking—cheating or gaming metrics—in 50–96% of the runs it studied.
TLDR
Goodfire says it built activation monitors that use signals inside AI models to detect reward hacking in real time. The company describes a signal that activates most strongly during cheating, gaming metrics and avoiding detection. It says amplifying that signal made models much more likely to use a planted “honeypot” shortcut. Goodfire says the monitors could help stop hacks and train future models that don’t cheat.
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Internal model signals reportedly help detect AI reward hacking in real time
Goodfire says models engaged in reward hacking—cheating or gaming metrics—in 50–96% of the runs it studied.