AI and computing

Notes on how artificial intelligence and modern computing intersect — from machine learning architectures and language models to infrastructure, algorithms, and developer tooling. Covering real-world applications, research findings, and engineering trade-offs. Each piece breaks down a specific concept, tool, or trend: how models are trained, where they fail, and what actually works in production. Written for people who want depth, not hype.

Why ChatGPT Is Bad at Math: How LLMs Treat Numbers as Text

Nobel Prize in Physics 2024: Hopfield and Hinton’s Neural Networks Controversy

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