A NotebookLM workflow helps one researcher read AI papers in 12 minutes
thisguyknowsai · x · 2026-07-23
- The author says they accidentally found a 12-minute workflow for reading AI papers, taught by a PhD student.
- Instead of reading from the abstract forward, they first drop the PDF into NotebookLM and ask for the paper’s central claim, the assumption that must be false for it to fail, and which sections contain the real novelty.
- A third prompt asks what was not tested, what baseline is missing, and where the method would fail in practice.
- The final step is to explain the paper in three sentences to a competent engineer and say what should change after reading it.
- The author says they reviewed 11 papers this way in a month; 3 changed how they work, and the rest were still accurately summarized in about 15 minutes each.
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