Uploaded November 2009 | Updated September 2026, 19 minutes ago

---

It is commonly thought that caution in the initial development of machine intelligence is associated with better outcomes - and that things like extensive testing, sandoxes, and provable correctness are things that will help to produce safe and beneficial synthetic intelligent agents.

In this video, I cast doubt on that idea, by exhibiting a model in which delays caused by caution can lead to much poorer outcomes.