We are probably just Gaia's way to put the fossilized carbon back into circulation. Smart enough to understand that this kills us, but not smart enough to prevent us from doing it.
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If true, we should thank the mythical Gaia. But we should be more thankful you can think and express that thought. For it demonstrates we are smart enough to recognise problems. And we are smart enough to solve them.
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If intelligence is not the result of a very particular brain architecture, but evolves naturally in response to the pressure to solve control problems, then most complex ecosystems will evolve general intelligence over a long enough time scale. Perhaps Lovelock was right!
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What other explanation can there be? (noting the defn of intelligence is broad here)
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Intelligence is the ability to make models, usually in the service of control. Every cell contains a universal Turing Machine. Every organism with controlled cellular structure can implement arbitrary control software, by passing chemical messages through lattices of cells.
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Replying to @Plinz @DoqxaScott and
Usually, this process is going to be slow (millimeters per second). Nervous systems can speed up the transmission of information processing signals over long distances like a telegraph, but require a specific architecture.
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I like this idea a lot and I agree it is right to describe individual cells as intelligent. I'd like to hear why you think every cell is a UTM.
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I don't think that individual cells can form scalable models of their environment. They have very little intelligence, and certainly no general intelligence. But the DNA is literally a tape with a program that encodes state transition rules and is accessed with a read/write head.
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I see where you're going there. Perhaps a limtied (or parochial) turning machine if we consider an individual cell. But if we consider the system of evolution of that "species" of cell... Wow. Nice idea.
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No, the individual cell can really *run* arbitrary code! The problem is just that the invidual cell does not have a very rich interface to the universe, and no universal function approximator. For that, you need an organism.
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Replying to @Plinz @DoqxaScott and
Part of the reason that individual cells cannot implement efficient general learning algorithms is the lack of parallel execution btw.
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I can imagine how this is true. Please point me at a nice pop-sci book if available?
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