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This paper formalizes and measures the 'jump' in large language models, where they abandon default completions for correct ones, and finds that LLMs successfully jump in experimental trials.
Proposes the Human-AI Coevolution Dynamics Framework (HACD-H) as a formal model of human-AI interaction, integrating emotional adaptation, relational organization, social memory, and personality consistency. Results show social intelligence emerges from long-term social cognitive coevolution.
This paper proposes an indirect computing model and indirect formal method for optimizing cloud computing, using Chinese information data as an example to transition from data centers to knowledge centers.