Core Viewpoint - The article discusses a recent study by a team from Peking University that reveals AI's ability to understand and replicate human-like creativity, specifically through a framework for evaluating combinational creativity in AI models [1][3][11]. Group 1: AI's Creative Capabilities - Advanced models like GPT-4 have surpassed average human performance in creative understanding tasks, achieving an accuracy of 70% compared to 50% for average humans [2][21]. - The study introduces a systematic framework for quantifying AI's combinational creativity, which enhances AI's creative generation capabilities [3][12]. - AI is learning to engage in "combinational creativity," understanding the deeper meanings behind seemingly unrelated elements, akin to human artists [7][9]. Group 2: The IEI Framework - The research team developed the IEI framework (Identification–Explanation–Implication) to assess AI's combinational creativity, breaking it down into three levels: identification of basic elements, explanation of functional relationships, and implication of deeper meanings [13][17]. - This framework not only evaluates AI but also provides new insights for the computational study of human creativity [14][28]. - The IEI framework has shown to improve the quality of creative outputs by 35% when integrated into generative models like DALL-E 3, indicating that AI creativity can be optimized through structured thinking [23][24]. Group 3: Comparative Analysis - While GPT-4 and other advanced models have outperformed average humans, they still lag behind human experts in deep semantic interpretation, with experts achieving an average accuracy of 78% [21][22]. - The study highlights the importance of understanding the creative process rather than just the novelty and utility of the results, which has been a focus of traditional assessments [12][11]. Group 4: Practical Applications - The research provides a methodology for AI's creative applications, demonstrating how AI can express abstract properties through the recombination of animal features [28][33]. - AI's potential in product design is illustrated by its ability to creatively combine everyday items with symbolic objects, showcasing its application in various industries [41].