/AI4h ago

AI May Not Need Unified Theory Like General Relativity

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kalomaze#836
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kalomaze@kalomaze#836inAI

"why can we forecast the weather in 3 days with strong accuracy but not 300 days" presupposes that there could be a model of thinking unified enough to let you solve exactly for whatever the weather will be in 300 days "where's the theory for why AI works" presupposes... etc

kalomaze@kalomaze

"transfer learning from geometric structure happens when you distribute the solution to a problem thinly across an iterated structure" is the most parsimonious accounting i worry that hoping for a unified general relativity type discovery is kind of a category error in some way

9:25 PM · Jun 2, 2026 · 601 Views
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kalomaze@kalomaze

data augmentation producing near exact invariants on networks that otherwise would just drift (by default) should tell people something about what the process of iterating on the optimization rule is doing humans don't get these for free either but we do live in a world that asserts invariants on us

kalomaze@kalomaze

"why can we forecast the weather in 3 days with strong accuracy but not 300 days" presupposes that there could be a model of thinking unified enough to let you solve exactly for whatever the weather will be in 300 days "where's the theory for why AI works" presupposes... etc

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