Unfortunately, "eval awareness" is often conflated with "verbalized eval awareness". The latter refers to the subset of eval awareness *that we can detect*.
Unfortunately, I frequently see RSI used to refer to the kind of closely bounded, iterated self-improvement that AI can do today. It's been used to refer to models updating their scaffolds, or helping with the process of training themselves or their successors. So I find myself reaching for "closed-loop RSI" or "unbounded RSI" to refer to the original meaning: the process whereby AI makes smarter AI without any human help (or at least without human-led R&D as input), until the laws of physics or available resources provide hard upper bounds.
Unfortunately, "eval awareness" is often conflated with "verbalized eval awareness". The latter refers to the subset of eval awareness *that we can detect*.
Unfortunately, I frequently see RSI used to refer to the kind of closely bounded, iterated self-improvement that AI can do today. It's been used to refer to models updating their scaffolds, or helping with the process of training themselves or their successors. So I find myself reaching for "closed-loop RSI" or "unbounded RSI" to refer to the original meaning: the process whereby AI makes smarter AI without any human help (or at least without human-led R&D as input), until the laws of physics or available resources provide hard upper bounds.