You are correct -- it doesn't assume Bayesianism -- but this doesn't invalidate my central point, which is that we don't know what it will look like.
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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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human legs are very general purpose, they do many things decently but nothing exceptionally. this sounds like what we want out of a "general AI"
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"sound alarm"? 