Unverified50% confidenceFactExact time
The context window is finite; when a task changes midway, new instructions must compete for space with the existing execution history, and common truncation strategies may cause key execution preconditions to be lost or actions to be repeated.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedContext window limitations exacerbate AI hallucination problems, as models lose their anchor when key project constraints are truncated beyond the window.73% similarUnverifiedContext compression causes previously injected system prompts and custom skill instructions to be diluted or even lost, leading to model behavior drift that requires reloading.72% similarUnverifiedAs task chains grow longer, the capacity limitations of the context window and attention decay affect the model's ability to accurately maintain the initial goal, which is one of the root causes of the 'goal drift' phenomenon in long-horizon tasks.72% similarUnverifiedThe inherent limitation of notch tools is that the expanded area is limited, and complex task management needs still require returning to dedicated applications.71% similar
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