Hallucinations in code are the least dangerous form of LLM mistakes

The article suggests that errors in code generated by Large Language Models (LLMs) are less concerning than other types of mistakes. This implies a hierarchy of LLM errors, potentially based on the severity of their consequences. The focus is on the relative safety of code-related hallucinations.