Bernoulli-Types
2 partsPosts in this series:
- . The Bernoulli Model: A Probabilistic Framework for Data Structures and Types
- . Bloom Filters
Multi-part explorations of deep topics
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AI alignment, moral agency, superintelligence, and the futures we might build
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A four-part interactive series exploring how representation choices — tabular, linear, neural — shape what reinforcement learning agents can learn, and what they silently bet on.
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From Solomonoff induction to modern language models: 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 pedagogical series exploring generic programming through the lens of abstract algebra
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Essays on induction, inference, and the search for useful representations
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Digital preservation tools and philosophy. Graceful degradation, plain-text archival, and building systems that outlast their creators.
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