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grounded in algorithmic information theory. Most AI research today is either mathematically clean but narrow, or practical but too opaque for rigorous safety analysis. We target a third category: methods
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that explain how representations emerge, specialize, and generalize under different training regimes. The broader goal is to build a theory that is: mathematically tractable and interpretable, empirically
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