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
- LLM 0.32a0 is a major backwards-compatible refactor - 29th April 2026
- Tracking the history of the now-deceased OpenAI Microsoft AGI clause - 27th April 2026
- DeepSeek V4 - almost on the frontier, a fraction of the price - 24th April 2026