> Unreliable tools have a good deal of utility. This is generally true when you can quantify the unreliability. E.g. random prime number tests with a specific

> Unreliable tools have a good deal of utility. This is generally true when you can quantify the unreliability. E.g. random prime number tests with a specific error rate can be combined so that the error rates multiply and become negligible. I'm not aware that we can quantify the uncertainty coming out of LLM tools reliably.