A lecture blog exploring surprising robustness and fragility in interconnected systems, drawing analogies between nonlinear control and optimization.
Explains the greedy rectangle merging algorithm for simplifying binary grids into non-overlapping rectangles, with a JavaScript implementation.
A professor reflects on the intersection of machine learning and control theory, discussing the Learning for Dynamics and Control (L4DC) conference and the need for a merged perspective.
A developer's enthusiastic recap of a specialized workshop on egraphs and compilers, covering technical discussions, potential collaborations, and project ideas.
A critical review of a research paper proposing Raft optimizations for faster reads/writes while preserving linearizability in distributed systems.
Explores the tension between optimization and systems-level thinking in AI-driven scientific discovery and computational ethics.
A lecture reflection on the gap between mathematical theory and practical engineering in machine learning, arguing for social analysis over functional analysis.
A simplified, non-technical definition of reinforcement learning as an iterative optimization process based on external feedback.
Explores the fundamental differences between animal intelligence and AI/LLM intelligence, focusing on their distinct evolutionary and optimization pressures.
Explores the commercial Apache Iceberg catalog ecosystem, focusing on REST Catalog standards, optimization strategies, and architectural trade-offs.
Using a SAT solver and Python to automate the complex scheduling of student-teacher interviews at a Zen meditation retreat.
A technical guide on common pitfalls and best practices for implementing foreign key constraints in database design, using Django examples.
A guide to speeding up Python code using four practices: efficiency, compilation, parallelism, and process, achieving a 330x speedup.
A developer details optimizing a debug build of a C torrent client, achieving 100x speedup by implementing SIMD and SHA hardware acceleration.
How software developers can reduce carbon emissions by optimizing code performance and reducing computation time.
A developer recreates Minesweeper from scratch using X11 and C, resulting in a tiny, statically linked executable as a critique of modern bloat.
Explores key prompt engineering techniques like zero-shot, few-shot, and chain-of-thought to improve generative AI outputs.
A guide to using React's useDeferredValue hook to optimize UI performance and prevent janky interfaces.
Explores a closed-form solution for linear metric learning, deriving a transformation matrix to align feature distances with response distances.
A developer investigates why a Zig program runs 10x faster when using 'zig build run' versus executing the compiled binary directly.
