[r/ML] [D] Unpopular opinion: "context window size" is a red herring if you don’t control what goes in it.

Summary

This Reddit post argues that the industry's focus on increasing context window size (e.g., 1M tokens) is a "red herring." The author contends that the quality, order, and compaction of information within the context are far more crucial than raw size, as a large, noisy context can lead to higher costs and model confusion. The real problem, they suggest, lies in context formation rather than just expanding the window.

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