A PM's Guide to Reading 200 AI Papers: Finding the Boundaries
vista8 · x · 2026-07-31
This article shares the methodology and insights of product manager Xie Qingchi, who systematically read over 200 AI papers. He argues that a PM's job is to find optimal solutions within given boundaries. Since the boundaries have shifted in the LLM era, reading papers is essential to understanding the new limits.
To overcome language barriers, he recommends using immersive translation tools and building systematic knowledge through video courses by Andrew Ng, Hung-yi Lee, and Andrej Karpathy, alongside books like Dive into Deep Learning. When reading papers, he emphasizes that the hardest part is understanding the why, requiring readers to look into the historical context of the problem the authors were trying to solve.
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