Recursive self-improvement risks failure if humans cannot understand the code AI generates. Iterating on outcomes alone fails to catch undetected flaws in safety cases. This limitation restricts how much automation LessWrong contributors believe can be safely deployed. Practitioners must prioritize interpretability over raw output to prevent the deployment of unsafe systems.