Summary

The primary ToC for control makes the case that control is compelling even if it does not scale to ASI. I think it is underdiscussed that this is also true for alignment (for all the same reasons).
Even though control does not need to scale to ASI, the further control does scale, the better. This is also true of alignment, and alignment seems more likely to scale further.
This is my mainline concern with control. I will also discuss other relevant considerations.
I conclude that we should grow the share of effort being put toward alignment and shoot for around an 8:1 ratio of effort between the two fields.

My mainline concern with control

I will call the control window the period of time where we can control frontier AIs (prevent them from taking over) that could have taken over were it not for control research. I will measure time here in terms of AI capabilities.

One of the central ToCs for control is to get useful alignment work from an AI that would otherwise take over. In order for control to be impactful through this route, we want lots of useful alignment work to take place [...]