Unverified50% confidenceFactExact time
Drift in physical systems is the norm rather than the exception; sensor aging, changes in operating conditions, and equipment wear all cause models to gradually deviate from reality.
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Long-term
Relevance
11/4/2026
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UnverifiedThere is a sim-to-real gap: friction, mass and sensor noise in simulation deviate from the real world, so policy transfer often fails; domain randomization forces the policy to learn robust behavior by randomly perturbing physical parameters and visual appearance during training.73% similarUnverified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）69% similarUnverifiedFor dissipative systems where time evolution is irreversible, backward reconstruction is an ill-posed problem, and in the strongly dissipative limit the round-trip consistency signal may become unreliable.69% similarUnverifiedWith every model generation change, the prompt libraries, workflows and muscle memory built around the old model partially become invalid, and the industry calls this hidden cost brought by "model drift".69% similarVerifiedWhen a model exceeds VRAM capacity, the system is forced to repeatedly transfer data between VRAM and system memory, causing catastrophic performance degradation.68% similar
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