A plan for spam
16th August 2002
Paul Graham: A Plan for Spam. Paul suggests using content based filters that learn from users specifically marking messages as spam or legitimate mail. The system then picks emails apart looking for commmon terms (in both the body and the header of the message) that can then be used later on to identify spam messages. He claims his test have let through only 5 per 1000 spams, with 0 false positives
. Impressive stuff, and great reading for the excellent explanations of some advanced alogithmic and statistical techniques.
More recent articles
- Claude Opus 5.5, GPT-6 Sol, GPT-6 Luna, and a new price war - 22nd September 2026
- Jev introduces a new shape of LLM - System One, aka Decision Models - 21st September 2026
- Generating running routes with GPT-6 Astra and ChatGPT Work - 12th September 2026