Yeah, this is fair, and later in the section they say:
Careful scaling. If the developer is not confident it can train a safe model at the scale it initially had planned, they could instead train a smaller or otherwise weaker model.
Which is good, supports your interpretation, and gets close to the thing I want, albeit less explicitly than I would have liked.
I still think the “delay/pause” wording pretty strongly implies that the default is to wait for a short amount of time, and then keep going at the intended capability level. I think there’s some sort of implicit picture that the eval result will become unconcerning in a matter of weeks-months, which I just don’t see the mechanism for short of actually good alignment progress.
Yeah, this is fair, and later in the section they say:
Which is good, supports your interpretation, and gets close to the thing I want, albeit less explicitly than I would have liked.
I still think the “delay/pause” wording pretty strongly implies that the default is to wait for a short amount of time, and then keep going at the intended capability level. I think there’s some sort of implicit picture that the eval result will become unconcerning in a matter of weeks-months, which I just don’t see the mechanism for short of actually good alignment progress.