Unverified50% confidenceFactExact time
If the prompt is too long or the chat goes on too long, the AI will forget the initial requirements, because the context window capacity is limited.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedAs the number of conversation turns increases, the weight of early key constraint information in the context window is diluted (attention drift), causing the quality of AI output to gradually decline.73% similarUnverifiedWhen prompts are too long, large models experience an 'attention explosion' phenomenon, where excessively long inputs cause effective information to be lost.70% similarUnverifiedThe description of every Skill permanently occupies limited context window space, and overly long descriptions crowd out the space the agent needs to understand code and generate replies, actually degrading output quality.67% similarUnverifiedAn overly long context dilutes the model's attention to the current task, and trimming the context often leads to more focused and accurate AI output.67% similarUnverifiedPersisting the complete conversation history in full is both inefficient and counterproductive, as lengthy history rapidly consumes the context window budget and irrelevant context degrades generation quality.66% similar
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