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This paper presents JD Oxygen AI Item Center (Oxygen AIIC), an industrial-scale platform leveraging LLMs/VLMs for item knowledge production and service, achieving high precision and recall, and delivering measurable gains in search, recommendation, and operations on JD.com.
This paper introduces the concept of Human Temporal Learning (HTL) and argues that generative models create structural risks for knowledge production through value collapse, where the difficulty of distinguishing human from AI outputs leads to competitive displacement of deep human work.