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Eugine_Nier comments on Evidence for the orthogonality thesis - Less Wrong
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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.
Fair enough. We can handwave a little and say that AI2 built by AI1 might be able to sense things and self-modify, but this offloading of the whole problem to AI1 is not really satisfying. We'd like to understand exactly how AIs should sense and self-modify, and right now we don't.
Let it build a machine that takes input from own surroundings.
But the new machine can't self-modify. My point is about the limitations of cousin_it's example. The machine has a completely accurate model of the world as input and uses an extremely inefficient algorithm to find a way to paperclip the world.
The second machine can be designed to build a third machine, based on the second machine's observations.
Yes, but now the argument that you will converge to a paper clipper is much weaker.