The main flaw in superintelligence arguments is to think of intelligence as an intrinsic property of an agent, like the height of a tower.
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So cognition is compression, but a very lossy form of compression tied to a specific objective function that is not intrinsic to the data
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This makes sense much more. But does this mean that all representation systems should greedily work only with task specific representations?
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That is also a compression. Only that you seek guidance for your compressor. Sort of a "prior", much like in the QM example.
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