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创建一个人工智能导师，它不会让你在没有真正学会知识的情况下继续前进——而不仅仅是完成测试。你会接受训练，诊断出任何理解上的问题，现在还有一个实时语音挑战，你需要口头解释你对人工智能的回答，然后它会通过额外的提问进行深入。语音功能是我开发的，我怀疑在与人交谈时假装理解某事比选择一个合适的选择题答案要困难得多。但说实话，我不知道这是否是一个有价值的想法，还是我沉迷于我创造的最复杂事物的又一个迹象。所以，我想认真问的问题是：什么能帮助你信任人工智能对你理解程度的诊断？这样做是否值得，还是我应该坚持使用间隔重复并相信自己？

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Creating an AI tutor that won't let you progress without having learned anything — not just completing a test. You train, are diagnosed for any problems in understanding, and there is now a live voice challenge where you need to verbally explain your response to an AI, and then it drills down with additional questions.<p>The voice feature was created by me under the suspicion that it is way more difficult to pretend to have understood something while talking to someone rather than choosing a proper multiple choice answer. But to be honest, I don't know if that is a valuable idea or just another sign of my attachment to the most complicated thing I created.<p>So, the question I want to ask seriously is: What would help you to trust an AI's diagnosis of your understanding? And is it even worthwhile, or should I stick to the solution of doing spaced repetition and trusting myself?

HN 提问：什么能让你信任 AI 对你理解能力的评估？