Unverified50% confidenceFactExact time
A large context window does not mean the model will use all information evenly; content in the middle of an article may still be underweighted.
1
Sources
50%
Confidence
Long-term
Relevance
11/3/2026
First Seen
Sources
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Related Claims
UnverifiedThe context windows of large models are limited, ultra-long texts need to be processed in segments, and implicit contradictions across segments may still be missed.79% similarUnverifiedThere are three reasons for not directly sending all documents to a large model: the model cannot read all content due to context window limitations, inference costs are high, and inference speed is slow.76% similarUnverified本地模型的上下文窗口往往比旗舰API模型更有限，臃肿的指令会浪费算力并稀释关键信息75% similarUnverifiedEven if the context window is not full, low-quality content can likewise cause context rot.75% similarUnverifiedContext window size does not determine a model's ability to retrieve and reason about specific information in extremely long inputs, and that ability does not grow linearly with the window.75% similar
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