热议！DeepSeek V3.1惊现神秘「极」字Bug，模型故障了？

Core Viewpoint - The article discusses a significant bug in DeepSeek's V3.1 model, where the character "极" is inexplicably inserted into outputs during various tasks, raising concerns within the community about data quality and model reliability [1][3][16]. Group 1: Model Release and Issues - DeepSeek released the V3.1-Base model, which was not the anticipated V4, and it has been available on web, app, and mini-program platforms [2]. - Users have reported that the model randomly replaces certain output tokens with "极," causing confusion and frustration [3][4]. - The issue has been observed across different platforms, including the official API and third-party implementations, with varying frequencies of occurrence [5][11]. Group 2: User Experiences and Observations - Users on platforms like Zhihu and Reddit have shared their experiences, noting that the "极" character appears unexpectedly in outputs, including code and exam papers [3][8][14]. - Some users speculate that the problem may stem from "data pollution," suggesting that the training data may not have been adequately cleaned [15][16]. - The bug has prompted discussions about the importance of data quality in AI model development, highlighting that even minor issues can lead to significant operational problems [16]. Group 3: Community Reactions and Speculations - The community has actively engaged in discussions about the potential causes of the bug, with various theories being proposed, including the possibility of token confusion during model training [12][14]. - Users have noted that the model also exhibits issues with mixing languages, further complicating its reliability [14]. - The incident serves as a reminder for AI developers about the critical role of data integrity in ensuring model performance and behavior [16].