Unverified50% confidenceFactExact time
Window size is not equivalent to the amount of information the model can effectively use: the window is the physical capacity of "how much it can hold," while attention is the computational resource of "how much it can focus on."
1
Sources
50%
Confidence
Long-term
Relevance
10/25/2026
First Seen
Sources
Larger Context Windows Make AI Agents Less Reliable? 4 Failure Modes and How to Fix Them
bilibilicode炀10/24/2026
Related Entities
Related Claims
Unverified上下文窗口越大并不意味着处理质量与窗口大小成正比，1M上下文存在价格、模型能力、噪音干扰等权衡问题77% similarUnverifiedFor cost and accuracy, a large window is not inherently better than retrieval; a design of small window + IDs + fetch tools is usually cheaper and easier to debug, and the window should be treated as a cache rather than storage.69% similarVerifiedSliding window attention allows each token to attend only to context within a fixed window, reducing complexity to O(n·w), where w is the window size.68% similar
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