Unverified50% confidenceFactExact time
Goal drift refers to key constraints in the initial prompt potentially being diluted or lost during context window filling and compaction.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Why One AI Agent Isn't Enough: Inside Anthropic's Dynamic Workflows
bilibiliAIDeepCoder10/18/2026
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Related Claims
UnverifiedContext window limitations exacerbate AI hallucination problems, as models lose their anchor when key project constraints are truncated beyond the window.76% 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% similarUnverifiedFixed-threshold compression may truncate an in-progress search or derivation, losing some intermediate results and causing subsequent steps to be redone or to go astray.71% similarUnverified目标漂移的本质是任务锚点的丢失，随着操作历史累积，最初的目标指令在权重上被稀释71% similar
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