AI, machine learning, and computer science
Practical articles and interactive tools for builders learning how models work, how software systems behave, and how modern AI gets built.
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I broke CUDA matrix multiplication on purpose, fixed one bottleneck at a time, and measured which optimizations actually moved performance. CUDA optimization advice is everywhere: use shared memory, improve occupancy, coalesce memory, unroll loops, reduce synchronization, avoid bank conflicts. All of that advice can be true, but it is not equally important at every stage. […]
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Use the playgrounds to connect abstract concepts to concrete state: points move, tensors reshape, gradients update, and memory changes.
Build layers, train a small model, and inspect decisions.
Open toolSee how neighbors, distance, and class boundaries interact.
Open toolExperiment with centroids, inertia, and cluster movement.
Open toolExplore tensor shapes and operations with visual feedback.
Open toolStep through optimization on a loss surface.
Open toolTrace stack, heap, references, and runtime state changes.
Open toolTopic library
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Model concepts, applied ML workflows, and AI product notes.
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Technical explainers and tutorials as they publish.
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AI, ML, and systems topics with builder-level detail.
