Alvin discusses the challenges of AI models in question answering, particularly how their confidence levels can misrepresent the value of information in a question. By systematically removing unimportant words from questions in the SQuAD dataset, he highlights a disconnect between model predictions and human expectations, revealing a systemic issue in AI confidence assessment.
