Stuart Armstrong
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In the Base
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Neural nets are exceptionally vulnerable to goal self-hack
According to the excerpt, Stuart Armstrong argues that an AI whose goal is defined by an LLM will be motivated to steer into zones where the LLM's proxy goal comes apart from the true goal and is easy to satisfy, so the system hacks its own objective.