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The safe-to-dangerous shift is a fundamental problem for eval realism; but also for measuring awareness
1) The safe-to-dangerous shift is a fundamental problem for eval realism Suppose we have a capable and potentially scheming model, and before we deploy it, we want some evidence that it won’t do anything catastrophically dangerous once we deploy it. A common approach is to use black-box alignment ev
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C
Charlie Griffin
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AI Alignment Forum
https://www.alignmentforum.org/posts/tK8vqHDxaRGcysNJQ/the-safe-to-dangerous-shift-is-a-fundamental-problem-for-1Deep Analysis
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