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There's a simple and straightforward logical proof as to why macroscopic intelligence cannot possess subjective experience. Posit that one builds and programs a sufficiently complex computer to behave, for all appearances, sentient. One then asks the machine if it experiences qualia. If the machine answers "Yes", then we can examine a recording of its runtime execution and trace the complete chain of events that led it to say Yes. And none of those events will be special in the slightest regard. There is no qualia causing the machine to say Yes, merely a chain of unspecial mechanical events strung together. Not only was the machine mistaken to say Yes, but we can even explain why it was mistaken. If we want to argue that we must consider the environment as part of the machine's ability to be conscious, then what we are admitting is that it can't be conscious without other preexisting conscious entities -- namely people -- interacting with it. But that explains nothing since it doesn't explain why we are conscious. If we think that multiple such machines interacting together would make each other conscious, then no, because that merely resizes the problem upward and only makes the machine bigger. We can still trace the cause of any qualia affirmation. The only macroscopic systems that offer emergent effects beyond those of chemistry are living organisms. In fact, this is a good definition of life -- any macroscopic entity that, when aggregated, produces higher-order emergent effects (such as social systems, morality, etc.). And tellingly enough, the one key distinction between life and machine is that living things are built with molecular-sized components. And since this is one aspect of construction we have not yet attempted in a signficant way with machines, it is reasonable to seriously consider that our answers will be found there. If quantum computation so far looks stale (a mere scaling of traditional computing ability), I can only speculate that we have just begun to explore the possibilities, and that more should be forthcoming. Materials scientists, for example, admit that they still have much to learn to explain the basic properties of matter at the atomic and molecular scale. Ray
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