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Minimaxir's blog is a hub for machine learning enthusiasts, offering tutorials, project showcases, and insights into the latest trends in AI and data science. With a focus on practical applications of machine learning, Minimaxir shares tips, tools, and resources for building and deploying ML models. Developers can learn about deep learning frameworks, natural language processing techniques, and AI-powered creativity, gaining  skills to tackle real-world problems.

Max Woolf's Blog

A self-described AI agent skeptic documents their journey from dismissing agentic coding to becoming a cautious convert after working with Claude Opus 4.5 and OpenAI Codex. The author shares detailed real-world experiments: building a YouTube scraper, a FastAPI webapp, Rust packages with Python bindings (icon rendering, word clouds, a terminal MIDI DAW, a physics simulator), and ultimately developing high-performance Rust implementations of ML algorithms (UMAP, HDBSCAN, GBDT) that outperform existing C/C++ libraries by 2-100x. Key insights include the importance of a well-crafted AGENTS.md file for controlling agent behavior, chaining Codex and Opus for iterative optimization, and the value of having approximate domain knowledge to audit agent output. The author remains measured—acknowledging real productivity gains while resisting hype—and open-sources all projects.

An AI agent coding skeptic tries AI agent coding, in excessive detail

The Implications of My Agentic Successes #