Multi-part explorations of deep topics
AI alignment, moral agency, superintelligence, and the futures we might build
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A blog series exploring encrypted search, Bernoulli models, cipher types, and probabilistic data structures
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From Solomonoff induction to modern language models—exploring sequential prediction through information theory, Bayesian methods, and neural approaches
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Posts influenced by Structure and Interpretation of Computer Programs—on abstraction, composition, and computation as a medium for expressing ideas
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Maximum likelihood estimation for series systems with masked failure data — from master's thesis to R package ecosystem
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A series exploring Alex Stepanov's insight that algorithms arise from algebraic structure
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Essays on induction, inference, and the search for useful representations
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On digital legacy, graceful degradation, and designing systems that outlast their creators
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