A MIT student describes a method of reading a 400-page textbook in two hours using NotebookLM. The process begins by uploading the full text and generating a central guiding question about the book’s main argument and assumptions. Reading is then directed through targeted questions that identify key evidence, challenged beliefs, and weak points in reasoning. Sections are read selectively, with recall-based testing after each part to strengthen retention through active reconstruction rather than full-page reading.
