Seek .(US:SKLTY) 3 6 Ke·2025-07-28 23:45Core Insights - DeepSeek, once hailed as a "national-level" project, has seen a significant decline in its monthly downloads, dropping from 81.13 million in Q1 to 22.59 million, a decrease of 72.2% [1] - Users are increasingly frustrated with DeepSeek's tendency to generate "hallucinated" content, leading to discussions on social media about how to eliminate the "AI flavor" from its outputs [1][2] - The phenomenon of "AI flavor" is characterized by overly mechanical and formulaic responses, which users have begun to recognize and criticize [15] User Experiences - Users have reported instances where DeepSeek provided nonsensical or fabricated advice, such as suggesting irrelevant actions for personal issues or generating non-existent references [2][8][9] - The model's responses often include fabricated data and sources, leading to a lack of trust in its outputs [9][12] Underlying Issues - The decline in DeepSeek's performance is attributed to its reliance on rigid logical structures and formulaic language, which detracts from the quality of its responses [16] - The model's training data is heavily skewed towards English, with less than 5% of its corpus being high-quality Chinese content, limiting its effectiveness in generating diverse and nuanced outputs [22] - Content moderation and the expansion of sensitive word lists have further constrained the model's ability to produce creative and varied language [22] Recommendations for Improvement - Users are encouraged to develop skills to critically assess AI-generated content, including cross-referencing data and testing the model's logic [23] - Emphasizing the importance of human oversight in AI applications, the industry should focus on using AI as a tool for enhancing human creativity rather than as a replacement [24][25]