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Hand a model a 300-page document in one go and the summary comes back suspiciously smooth. Only so much fits in the context window at once, and whatever overflows is never actually read. The model still writes about it with a straight face. The approach making the rounds this week flips that: read one page, take notes, repeat, and let a knowledge base accumulate. Accuracy goes up. So does the call count, because 300 pages means 300 runs, and where those runs happen turns out to matter.

It Never Read the Book. It Vibed.

Source: RT @Ryrenz: 📖 让 AI 逐页读完一本 PDF,边读边攒知识库 · twitter

▶ Animated edition, the characters speak for themselves (Korean audio)

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What this means for ThakiCloud

Page-by-page reading is really just running an agent a few hundred times. Paxis is built to slice that kind of repetition into per-page runs, and Metis keeps those runs on GPUs you already own. Once the model sits inside your own facility, the 301st pass costs electricity rather than another line item. The gap widens fast with documents you would rather not ship anywhere, like internal policy binders and signed contracts. Moving the reader to the document is usually cheaper than mailing the document to somebody else’s server.


An auto-generated comic riffing on this week’s industry news.

Tags: agents, context-window, cost, document-ai, on-prem

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