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maybe i'm thinking too small, or maybe it's because i've been using these ai systems since they were first launched, but it feels wrong to just saturate the hell out of the context, even if it can take 1 million tokens.

maybe i need to unlearn this habit?



I think your instinct is right. More context isn't free, even when the window supports it, and the model still has to attend to everything in there, and noise dilutes the signal. A cleaner, smaller context consistently gives better outputs than a bloated one, regardless of window size. For sure, the 1M window is great for not having to compact mid-task. But "I can fit more" and "I should put more in" are very different things. At least in my mind.




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