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RSP overhang

A complaint about AI pause: if we pause AI and then unpause, progress will then be really quick, because there's a backlog of improvements in compute and algorithmic efficiency that can be immediately applied.

One definition of what an RSP is: if a lab makes observation O, then they pause scaling until they implement protection P.

Doesn't this sort of RSP have the same problem with fast progress after pausing? Why have I never heard anyone make this complaint about RSPs? Possibilities:
- They do and I just haven't seen it
- People expect "AI pause" to produce longer / more serious pauses than RSPs (but this seems incidental to the core structure of RSPs)

Crossposted from LessWrong

in reply to Daniel Filan

Daniel Filan
Daniel Filan
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The number of people who read this post on LW and thought "But there are reasons to think that RSPs are better than pauses" was a relevant response is kind of depressing tbh.
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