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Why AI Can Read a Library but Only Write a Postcard

We have entered the era of million-token context windows, yet even the most advanced AI models still hit a "wall" when generating long-form content. This episode dives into the architectural and economic reasons why reading a library is easy for AI, while writing a book remains nearly impossible. We explore the technical bottlenecks of autoregressive generation, the "invisible tax" of GPU memory, and how "coherence decay" causes models to lose their minds over long distances. Learn why your favorite LLM starts repeating itself after a few thousand words and what it will take to bridge the gap…

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