Mitchell wrote an article called 'How Do We Know How Smart AI Systems Are' highlighting that tests of AI capabilities often don't reveal limitations because: (1) test questions may have been in the training data, (2) the vast training data makes it unclear what was memorized vs. learned, and (3) systems may use narrow, non-transferable procedures rather than genuine understanding.