Why can't I find an article (or book or journal) on "Lessons from human brain organization for designing artificial intelligences"? Surely it can't be because there are no such lessons, can it?
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Many people claim their designs are inspired in part by brains. That's different from general lessons we can draw.
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Replying to @robinhanson
The visual cortex inspiration case is fairly well documented. David Marr did some very influential theoretical neuroscience papers where he proposed what computations the anatomy implied, and then later moved to computer vision where he became influential.
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Replying to @anderssandberg @robinhanson
It is quite easy to make the case that eg LeCun's vision solutions were generalizations from audio processing to image processing. In practice, we can often use AI models to interpret neuroscience, but we can rarely use neuroscience to predict how to build an AI model.
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Marr's ideas of primarily bottom up vision were influential for the philosophy of cognitive science, but in practice people had to come up with different paradigms to build the current generations of vision systems.
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