24th October 2025
Research
Blog Tag Prediction with Scikit-Learn
— Automatically assigning meaningful tags to historic, untagged blog posts, this project leverages the Simon Willison blog database and scikit-learn to train and compare multi-label text classification models. Four approaches—TF-IDF + Logistic Regression, Multinomial Naive Bayes, Random Forest, and LinearSVC—were tested on posts’ title and body text using the 158 most frequently used tags.
Recent articles
- New release of LLM adds support for reasoning traces, OpenAI Responses, server-side tools, and smarter logging - 4th August 2026
- Stateless MCP has recaptured my interest (and inspired mcp-explorer and datasette-mcp) - 31st July 2026
- OpenAI’s accidental cyberattack against Hugging Face is science fiction that happened - 22nd July 2026