It isn't an amazing novel philosophical insight that type-1 agents 'love' to solve problems in the wrong way. It is fact of life apparent even in the simplest automated software of that kind.
Of course it isn't.
Let's just assume that mister president sits on nuclear launch button by accident, shall we?
There are machine learning techniques like genetic programming that can result in black-box models. As I stated earlier, I'm not sure humans will ever combine black-box problem solving techniques with self-optimization and attempt to use the product to solve practical problems; I just think it is dangerous to do so once the techniques become powerful enough.
There are machine learning techniques like genetic programming that can result in black-box models.
Which are even more prone to outputting crap solutions even without being superintelligent.
Why does SI/LW focus so much on AI-FOOM disaster, with apparently much less concern for things like
Why, for example, is lukeprog's strategy sequence titled "AI Risk and Opportunity", instead of "The Singularity, Risks and Opportunities"? Doesn't it seem strange to assume that both the risks and opportunities must be AI related, before the analysis even begins? Given our current state of knowledge, I don't see how we can make such conclusions with any confidence even after a thorough analysis.
SI/LW sometimes gives the impression of being a doomsday cult, and it would help if we didn't concentrate so much on a particular doomsday scenario. (Are there any doomsday cults that say "doom is probably coming, we're not sure how but here are some likely possibilities"?)