A researcher analyzed their first machine learning paper seven years after publication to evaluate its lasting value. The author critiques the common practice of conducting post-mortems immediately after a project ends. This retrospective approach identifies flaws that initial hype often obscures. Practitioners can use this method to better measure the long-term impact of AI safety research.