问HN：什么会让你信任人工智能对你理解能力的评估？
创建一个AI辅导员，它不会让你在没有学习任何东西的情况下继续进步——不仅仅是完成测试。你会接受训练，诊断理解上的任何问题，并且现在有一个实时语音挑战，你需要用口头方式向AI解释你的回答，然后它会通过额外的问题深入探讨。
这个语音功能是我在怀疑与人交谈时假装理解某件事要比选择一个合适的多项选择答案困难得多的情况下创建的。但说实话，我不知道这是否是一个有价值的想法，还是我对自己创造的最复杂事物的依恋的又一个表现。
所以，我想认真问的问题是：什么能帮助你信任AI对你理解能力的诊断？这是否值得，还是我应该坚持使用间隔重复的方法并信任自己？
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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?