Hofstadter presents the problems of cooperation in a context of mainstream risks — risks that public intellectuals and scientists of the time agreed were legitimate topics for discussion, and which members of the news-watching public would have heard of — such as nuclear war and environmental pollution. Yudkowsky presents these problems in a context which features exotic risks — risks that most folks have not heard of outside of science fiction; and particularly ones that deal with agents with nonhuman drives, such as Unfriendly AIs, paperclip maximizers, baby-eating aliens, and so on.
This seems like a matter of literary genre. The math of the Prisoner's Dilemma works the same regardless of whether you're worried about cooperating with the Kremlin or an alien. But it probably has some consequences for how people think of the subject. Someone exposed to superrationality/x-rationality ideas via Less Wrong might get the erroneous impression that they are somehow fundamentally linked to exotic risks.
On the other hand, bringing exotic agents into the discussion takes a bunch of cheap answers off the table — "Oh, humans are fundamentally cooperative; we all share the same values deep down; all we need to do is hug it out, trust each other, and do the right thing." The math works even when you don't share the same values, which is a pretty significant point.
Possibly the main and original inspiration for Yudkowsky's various musings on what advanced game theories should do (eg. cooperate in the Prisoner's Dilemma) is a set of essays penned by Douglas Hofstadter (of Godel, Escher, Bach) 1983. Unfortunately, they were not online and only available as part of a dead-tree collection. This is unfortunate. Fortunately the collection is available through the usual pirates as a scan, and I took the liberty of transcribing by hand the relevant essays with images, correcting errors, annotating with links, etc: http://www.gwern.net/docs/1985-hofstadter
The 3 essays:
I hope you find them educational. I am not 100% confident of the math transcriptions since the original ebook messed some of them up; if you find any apparent mistakes or typos, please leave comments.