My preferred aim is to just need the first process that creates the first astronomically significant AI to follow the approach.[1] To the extent this was not included, I think this list is incomplete, which could make it misleading.
This could (depending on the requirements of the alignment approach) be more feasible when there’s a knowledge gap between labs, if that means more of an alignment tax is tolerable by the top one (more time to figure out how to make the aligned AI also be superintelligent despite the ‘tax’); but I’m not advocating for labs to race to be in that spot (and it’s not the case that all possible alignment approaches would be for systems of the kind that their private-capabilities-knowledge is about (e.g., LLMs).)
My preferred aim is to just need the first process that creates the first astronomically significant AI to follow the approach.[1] To the extent this was not included, I think this list is incomplete, which could make it misleading.
This could (depending on the requirements of the alignment approach) be more feasible when there’s a knowledge gap between labs, if that means more of an alignment tax is tolerable by the top one (more time to figure out how to make the aligned AI also be superintelligent despite the ‘tax’); but I’m not advocating for labs to race to be in that spot (and it’s not the case that all possible alignment approaches would be for systems of the kind that their private-capabilities-knowledge is about (e.g., LLMs).)