That would make (human[s] + predictor) in to an optimization process that was powerful beyond the human[s]'s ability to steer. You might see a nice looking prediction, but you won't understand the value of the details, or the value of the means used to achieve it. (Which would be called trade-offs in a goal directed mind, but nothing weighs them here.)
It also won't be reliable to look for models in which you are predicted to not hit the Emergency Regret Button As that may just find models in which your regret evaluator is modified.
Is a human equipped with Google an optimization process powerful beyond the human's ability to steer?
Here's my draft document Concepts are Difficult, and Unfriendliness is the Default. (Google Docs, commenting enabled.) Despite the name, it's still informal and would need a lot more references, but it could be written up to a proper paper if people felt that the reasoning was solid.
Here's my introduction:
And here's my conclusion:
For the actual argumentation defending the various premises, see the linked document. I have a feeling that there are still several conceptual distinctions that I should be making but am not, but I figured that the easiest way to find the problems would be to have people tell me what points they find unclear or disagreeable.