why does preparing for a paperclip maximizer assume Bayesianism?
"most efficient physical form" seems really unlikely to me given how many constraints evolution has been under
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right, the question for efficiency is always "efficient with respect to what metric"? I think human brains are more efficient at human-like thought than computers are. But I don't think people expect a general AI to have human-like thought.
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it's like how trains don't have legs
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by the metric of "speed" a train is more efficient than legs, but if your metric is "turn speed" then legs are more efficient. if your metric is "steps per second" then a train's efficiency is "mu"
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the goal isn't to imitate humans but to act/think effectively. more like speed than turn speed or steps per second
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what does it mean for an action or a thought to be "effective"?
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Not speed, nor turn speed, but time through the maze. For some sense of "through" anyway.
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what is "the maze" in this case?
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i bet the thing that goes through a maze fastest still isn't human legs
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human legs are good for * moving at a reasonably regular speed, * in distances in terms of miles * over reasonably flat surfaces * for time ranges in terms of hours, * if your only energy sources are animal and plant matter and also if you need stuff like jumping
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note that signals in a biological human brain are slow and if you run one in silico you can run it at a million times speed
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(if you have the computing power)
End of conversation
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"sound alarm"? 