[musings] maybe there's a point at which universes are too complex to model for a nascent intelligence; precludes its evolutionary emergence
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Replying to @allgebrah
Hard to construct universes with patterns where control is cheap enough to make brains, but no cheaply discoverable regularity!
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Replying to @Plinz
what do you mean by "control is cheap"? stability of patterns once emerged?
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Replying to @allgebrah
To make a computer, you need a strongly constrained dynamically stable system. Cost of control is related to entropy
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Replying to @Plinz
if you mean entropy/energy gradient I probably agree but that's the "boring" argument :)
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Replying to @allgebrah @Plinz
although my idea is fragile: hinges on intelligence being a predictor of complexity and that complexity being irreducible
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Replying to @allgebrah
IMHO all observable complexity is reducible to computation + perfect white noise; but practical resource constraints limit us
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Replying to @Plinz
exactly: what if that computation is just hard enough to approximate in a smaller system that no emergent intelligence makes the jump
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Replying to @allgebrah
the lower the entropy of a computational substrate, the easier it becomes to build computers: you need less control
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GoL computers are high entropy if you count the initial cell states
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