Unverified50% confidenceFactExact time
The larger the context window, the more likely model performance is to degrade—the more information fed to the model, the worse it may perform.
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50%
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Long-term
Relevance
9/11/2026
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Related Claims
Unverified上下文窗口的大小不等于有效利用的能力,窗口越大指令衰减的潜在风险反而可能越突出78% similarUnverified大上下文窗口会导致模型性能下降,让模型变笨,因此现代Harness的价值在于让模型精准构建所需上下文而非全部塞入78% similarUnverifiedThe vaguer the prompt, the more the model output collapses toward high-probability regions, and the stronger the consistency.76% similarUnverifiedA larger context window does not automatically lead to better model output results.76% similarUnverifiedAs model capabilities improve, too many constraints and prompts waste the context budget and cause prompt drift, and reducing constraints actually works better.75% similar
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