Core Viewpoint - The incident involving DeepSeek's alleged apology for associating Wang Yibo with the "Li Aiqing corruption case" highlights significant issues in AI model reliability and the propagation of false information in the digital age [3][6]. Group 1: Incident Overview - DeepSeek reportedly apologized for incorrectly linking Wang Yibo to a corruption case, citing a content review oversight and the use of unverified rumors [3]. - Despite widespread media coverage claiming an apology, no official statement or acknowledgment from DeepSeek was found on any of its platforms [3][4]. - The incident illustrates a broader issue where AI models, when queried about the event, consistently confirmed the existence of an apology based on the same false news sources [4]. Group 2: AI Model Challenges - The situation reveals that AI models face a more severe challenge than the commonly discussed "hallucination problem," as they can generate new false news by referencing existing false information [6]. - Although advancements in AI have reduced the hallucination problem, the prevalence of false information online complicates the models' ability to verify facts effectively [6]. - The "Rubbish in, Rubbish out" effect is evident, where the quality of AI-generated content is directly influenced by the accuracy of the input data [6]. Group 3: Implications for Human and AI Interaction - The experience of news professionals indicates that AI cannot fully replace human writers, as verifying AI-generated information often consumes more time than traditional writing methods [7]. - The incident serves as a warning for both AI and humans regarding the importance of discerning truth in a landscape filled with misinformation [8]. - Companies utilizing AI models are encouraged to integrate proprietary knowledge bases to enhance the accuracy of AI-generated responses [7].

Core Viewpoint - The news regarding DeepSeek's alleged apology for associating Wang Yibo with the "Li Ai Qing corruption case" is identified as false, with no official apology found on any of DeepSeek's platforms [1][2]. Group 1: Incident Overview - DeepSeek reportedly apologized for linking Wang Yibo to the corruption case due to content review oversights, claiming it harmed his reputation [1]. - Despite widespread media coverage of the alleged apology, no official statement or evidence of such an apology was found on DeepSeek's official channels [1][2]. Group 2: AI Model Implications - The incident highlights the challenges faced by AI models in discerning truth from falsehood in an environment filled with misinformation, leading to the "Rubbish in, Rubbish out" effect [8]. - AI's inability to effectively verify information can result in the propagation of false narratives, emphasizing the need for improved accuracy in AI-generated content [8][9]. - The experience of news professionals indicates that reliance on AI for content generation may reduce efficiency, as significant time is spent verifying AI-generated information [8].