One of the most annoying arguments when discussing AI is the perennial "But if the AI is so smart, why won't it figure out the right thing to do anyway?" It's often the ultimate curiosity stopper.
Nick Bostrom has defined the "Orthogonality thesis" as the principle that motivation and intelligence are essentially unrelated: superintelligences can have nearly any type of motivation (at least, nearly any utility function-bases motivation). We're trying to get some rigorous papers out so that when that question comes up, we can point people to standard, and published, arguments. Nick has had a paper accepted that points out the orthogonality thesis is compatible with a lot of philosophical positions that would seem to contradict it.
I'm hoping to complement this with a paper laying out the positive arguments in favour of the thesis. So I'm asking you for your strongest arguments for (or against) the orthogonality thesis. Think of trying to convince a conservative philosopher who's caught a bad case of moral realism - what would you say to them?
Many thanks! Karma and acknowledgements will shower on the best suggestions, and many puppies will be happy.
If the AI's map represents the territory accurately enough, the AI can use the map to check the consequences of returning different actions, then pick one action and return it, ipso facto affecting the territory. I think I already know how to build a working paperclipper in a Game of Life universe, and it doesn't seem to wirehead itself. Do you have a strong argument why all non-magical real-world AIs will wirehead themselves before they get a chance to hurt humans?
This isn't quite an AGI. In particular, it doesn't even take input from its surroundings.