Asked about Context limits and what fits

If a model has a very large context window, why not put everything in it?

An answer that works

Cost scales with every token on every call, latency grows, and recall across a long window is uneven, with material in the middle attended to least reliably. Retrieving the relevant part is usually both cheaper and more accurate.

Reading an answer is not being able to give one. The section that teaches this is Context limits and what fits, 2 hours of Tokenization.

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