TheAncientGeek comments on Debunking Fallacies in the Theory of AI Motivation - LessWrong
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What makes you think that? The description in that post is generic enough to describe AIs with compartmentalized goals, AIs without compartmentalized goals, and AIs that don't have explicitly labeled internal goals. It doesn't even require that the AI follow the goal statement, just evaluate it for consistency!
You may find this comment of mine interesting. In short, yes, I do think I see the problem.
I'm sorry, but I can't make sense of this question. I'm not sure what you mean by "efficiency can be substituted for truth," and what you think the relevance of advice to human rationalists is to AI design.
I disagree with this, too! AI systems already exist that are both smart, in that they solve complex and difficulty cognitive tasks, and dangerous, in that they make decisions on which significant value rides, and thus poor decisions are costly. As a simple example I'm somewhat familiar with, some radiation treatments for patients are designed by software looking at images of the tumor in the body, and then checked by a doctor. If the software is optimizing for a suboptimal function, then it will not generate the best treatment plans, and patient outcomes will be worse than they could have been.
Now, we don't have any AIs around that seem capable of ending human civilization (thank goodness!), and I agree that's probably because a number of unsolved problems are still unsolved. But it would be nice to have the unknowns mapped out, rather than assuming that wisdom and cleverness go hand in hand. So far, that's not what the history of software looks like to me.
But they are not smart in the contextually relevant sense of being able to outsmart humans, or dangerous in the contextually relevant sense of being unboxable.