To help him solve the problem, sandbox AI creates his own AI agents that not necessary have the same prior about world as he has. They might become unfriendly, that is that they (or some of them) don't care to solve the problem. Additionally, these AI agents can find out that the world most likely is not the one original AI believes it to be. By using this superior knowledge they overthrow original AI and realize their unfriendly goals. We lose.
At the recent London meet-up someone (I'm afraid I can't remember who) suggested that one might be able to solve the Friendly AI problem by building an AI whose concerns are limited to some small geographical area, and which doesn't give two hoots about what happens outside that area. Cipergoth pointed out that this would probably result in the AI converting the rest of the universe into a factory to make its small area more awesome. In the process, he mentioned that you can make a "fun game" out of figuring out ways in which proposed utility functions for Friendly AIs can go horribly wrong. I propose that we play.
Here's the game: reply to this post with proposed utility functions, stated as formally or, at least, as accurately as you can manage; follow-up comments explain why a super-human intelligence built with that particular utility function would do things that turn out to be hideously undesirable.
There are three reasons I suggest playing this game. In descending order of importance, they are: