LessWrong MoreAudible Podcast

"AI coordination needs clear wins" by evhub

September 28, 2022 Robert
"AI coordination needs clear wins" by evhub
LessWrong MoreAudible Podcast
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LessWrong MoreAudible Podcast
"AI coordination needs clear wins" by evhub
Sep 28, 2022
Robert

https://www.lesswrong.com/posts/vavnqwYbc8jMu3dTY/ai-coordination-needs-clear-wins

EA and AI safety have invested a lot of resources into building our ability to get coordination and cooperation between big AI labs. So far, however, despite that investment, it doesn’t seem to me like we’ve had that many big coordination “wins” yet. I don’t mean to say that to imply that our efforts have failed, however—the obvious other hypothesis is just that we don’t really have that much to coordinate on right now, other than the very nebulous goal of improving our general coordination/cooperation capabilities.

In my opinion, however, I think that our lack of clear wins is actually a pretty big problem—and not just because I think there are useful things that we can plausibly coordinate on right now, but also because I expect our lack of clear wins now to limit our ability to get the sort of cooperation we need in the future.

In the theory of political capital, it is a fairly well-established fact that “Everybody Loves a Winner.” That is: the more you succeed at leveraging your influence to get things done, the more influence you get in return. This phenomenon is most thoroughly studied in the context of the ability of U.S. presidents’ to get their agendas through Congress—contrary to a naive model that might predict that legislative success uses up a president’s influence, what is actually found is the opposite: legislative success engenders future legislative success, greater presidential approval, and long-term gains for the president’s party.

Show Notes

https://www.lesswrong.com/posts/vavnqwYbc8jMu3dTY/ai-coordination-needs-clear-wins

EA and AI safety have invested a lot of resources into building our ability to get coordination and cooperation between big AI labs. So far, however, despite that investment, it doesn’t seem to me like we’ve had that many big coordination “wins” yet. I don’t mean to say that to imply that our efforts have failed, however—the obvious other hypothesis is just that we don’t really have that much to coordinate on right now, other than the very nebulous goal of improving our general coordination/cooperation capabilities.

In my opinion, however, I think that our lack of clear wins is actually a pretty big problem—and not just because I think there are useful things that we can plausibly coordinate on right now, but also because I expect our lack of clear wins now to limit our ability to get the sort of cooperation we need in the future.

In the theory of political capital, it is a fairly well-established fact that “Everybody Loves a Winner.” That is: the more you succeed at leveraging your influence to get things done, the more influence you get in return. This phenomenon is most thoroughly studied in the context of the ability of U.S. presidents’ to get their agendas through Congress—contrary to a naive model that might predict that legislative success uses up a president’s influence, what is actually found is the opposite: legislative success engenders future legislative success, greater presidential approval, and long-term gains for the president’s party.