🧩 Why Don’t You Use Dependent Types?
A fascinating retrospective from a pioneer in theorem proving, offering both historical depth and technical insight into why simplicity often outperforms sophistication in formal logic design.
Lawrence Paulson reflects on decades of work with dependent type theories such as AUTOMATH and Martin-Löf Type Theory, contrasting them with Isabelle’s higher-order logic. He explains why Isabelle’s simpler logical framework proved sufficient for complex mathematical proofs and argues that dependent types, though elegant, introduce unnecessary complexity for most verification tasks.
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⚙️ When O3 Is Twice as Slow as O2
A masterclass in low-level debugging and performance analysis — essential reading for anyone optimizing high-performance or systems-level code.
A Rust engineer investigates why a bounded priority queue runs twice as slow under O3 optimization compared to O2. Through detailed benchmarking and assembly inspection, they reveal that conditional moves introduced at O3 increase dependency chains, reducing throughput. The post illustrates how compiler optimizations can unintentionally degrade performance.
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🐍 Making an Easy-to-Install Application in Python
A hands-on, practical walkthrough of modern Python packaging that demystifies deployment complexity and showcases automation best practices.
The author shares how they built DOSH, a cross-platform Python tool designed for effortless installation. They evaluate various packaging methods — from system-level managers to PyInstaller and PyApp — explaining trade-offs in simplicity, portability, and performance. The final solution delivers compact binaries via GitHub and PyPI for a smooth user experience.
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🧠 Beautiful, Concise Explanation of Why a Cycle-Accurate 6502 Emulator Is Easier Than Not
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🤖 Why the ‘Everyone Dies’ Theory Gets AGI Completely Wrong
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