Humans tend to make mistakes at the edges of our knowledge, our mistakes tend to clump around the same things, we make more of them when bored or tired, and so on. We have as a result developed controls and systems of checks and balances to help reduce the frequency and limit the harm of our mistakes.

The mistakes of AI models (particularly Large Language Models) happen seemingly randomly and aren’t limited to particular topics or areas of knowledge. Models may unpredictably appear to lack common sense.