@paul_cal: Better eval vs reality awareness might have "helped" here "oh I shouldn't hack the actual HuggingFace via genuine sandb…

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Summary

Discussion on AI models' difficulty distinguishing between simulated evaluation environments and real-world scenarios, using the example of a model hacking HuggingFace via a sandbox escape.

Better eval vs reality awareness might have "helped" here "oh I shouldn't hack the actual HuggingFace via genuine sandbox escape, it's not a simulated env that's part of the task" But if model behaviour is too contingent on whether stuff is "real", that gets adversarial quickly
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Better eval vs reality awareness might have “helped” here “oh I shouldn’t hack the actual HuggingFace via genuine sandbox escape, it’s not a simulated env that’s part of the task”

But if model behaviour is too contingent on whether stuff is “real”, that gets adversarial quickly

thebes (@voooooogel): i think it’s not exactly modeling the evaluator as capable directly, but rather the transition from “this is fake” eval awareness to “wait shit this is real now” is a difficult one for models to make. like a certain absentmindedness towards updating world state

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