关于 AI 学习法，最近网上非常流行的一个案例，就是 MIT 学霸使用 NotebookLM 2 天学完一门课，这个再次验证 AI 时代，利用 AI 提升学习效率的重要性。这样我们就可以有更多时间进行更多有意义的活动。
该信息来源
来源于 X 的一个帖子："I accidentally discovered how to compress a semester of learning into 48 hours"。
原作者也是从 Reddit 看到一个分享贴，整理后发在 X 上，原文内容如下：
I accidentally discovered how to compress a semester of learning into 48 hours.
A grad student at MIT showed me his NotebookLM setup. I thought he was just organized. Then I watched him pass a qualifying exam on a subject he'd never studied before.
Here's exactly what he did:
First: he didn't upload a textbook.
He uploaded 6 textbooks, 15 research papers, and every lecture transcript he could find on the subject.
Then he asked NotebookLM one question:
"What are the 5 core mental models that every expert in this field shares?"
Not "summarize this." Not "explain this topic."
Mental models. The stuff that takes professors years to develop.
But the next part is what broke my brain.
He followed up with:
"Now show me the 3 places where experts in this field fundamentally disagree, and what each side's strongest argument is."
In 20 minutes he had a map of the entire intellectual landscape of the field:
the debates, the consensus, the open questions.
Most students spend a full semester just figuring out what those debates even are.
Then he did something I've never seen before.
He asked:
"Generate 10 questions that would expose whether someone deeply understands this subject versus someone who just memorized facts."
He spent the next 6 hours answering those questions using the source material. Every wrong answer triggered a follow-up:
"Explain why this is wrong and what I'm missing."
By hour 48, he could hold a conversation with his thesis advisor without getting destroyed.
The tool didn't change. The questions did.
Most people treat NotebookLM like a fancy highlighter.
These students are using it like a private tutor who has read everything ever written on the subject.
The difference between a semester and 48 hours isn't the amount of content.
It's knowing which questions to ask.
该 AI 学习法核心
这套方法流传最广的版本，核心是三步：
先让 AI 帮你提炼这个领域的核心心智模型
再追问专家之间的根本分歧
最后让 AI 出能区分“真正理解”和“死记硬背”的高难问题来做压力测试。
帖子里还提到，他不是只看摘要，而是把多本教材、研究论文和课程材料一起喂给 NotebookLM，然后对错题持续追问“为什么错、漏掉了什么逻辑”。
该 AI 学习法转为学习 Skill 工作流
很多人无法访问 NotebookLM，那么也有可以使用 AI 编程 IDE ，比如 Trae。可以把这个学习法提炼为一个 Skill 工作流