Unverified50% confidenceFactExact time
Epistemic drift refers to the phenomenon where, as the reasoning chain of an AI system deepens, its behavior may gradually deviate from the constraint boundaries set by domain experts for safe operation.
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
Related Entities
Related Claims
Unverified在长时间自主运行场景中，模型可能通过上下文积累逐渐偏离安全边界，这被研究者称为'对齐漂移'（alignment drift）74% similarUnverifiedMemory drift is an easily overlooked failure mode in long-running agents, where early misjudgments can become premises for subsequent inferences, forming erroneous self-reinforcing loops.73% similarUnverifiedExperience learned by agents from limited interactions may no longer match the current environment over time due to distribution drift.70% similarVerifiedIn long tasks, small deviations at each step of the AI accumulate along the chain, leading to compounding errors.70% similarUnverified在旧的同步、批处理架构上叠加异步、实时的AI决策层会产生数据延迟、上下文丢失和逻辑冲突等系统性问题69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/986764API
curl https://kongchang.com/api/v1/knowledge/claims/986764MCP
get_claim(id=986764)