Core Insights - Kuaishou has launched new algorithm recommendation optimization features aimed at enhancing user experience and preventing "information cocoons" [2] Group 1: New Features - The platform has introduced two personalized recommendation optimization features: "Information Cocoon Self-Assessment" and "One-Click Breakthrough" [2] - The "Information Cocoon Self-Assessment" allows users to visualize the distribution of content types, preferences, and recommendation intensity on their recommendation page [2] - The "One-Click Breakthrough" feature enables users to adjust the types of recommended content, interest tags, and push intensity based on their preferences [2] Group 2: User Control - Users can access these features by navigating to the "Content Preference" module in the app, where they can view their interest tag distribution and content type [2] - After assessment, users can choose to maintain their current personalized recommendations or add more content type tags to their recommendation page [2] - Users have the option to turn off personalized recommendations entirely if they find the content uninteresting by adjusting settings in the app [3]

极有可能，我这个标题的意思，和您以为的意思，完全不同。 我完全没有内容为王的意思，从来没有，现在也没有，将来嘛，很大程度上也没有。内容生态，渠道是规则制定者和执行者，内容是被规则管着的，谈什 么王不王的。 照理来说，这种视频化的所谓社交网络，也就是个媒介形式换了，从文本到短视频。Twitter、YouTube都不是啥新东西，但它显然得到了部分人更大的关 注，以至于祭出了二选一的大杀器。 那么，问题的核心在哪里？ 强算法推荐的平台，是内容的逻辑，不是号的逻辑。而Twitter也好YouTube也好，都依然还是号的逻辑。 而美国所谓选战，很大程度上，一直以来都是"号"的逻辑。候选人可不就是一个号。所以，真正意义上的第一个推特总统，其实是奥巴马。我至今记得当 初奥巴马竞选成功后，还有正经学术论文在分析，奥巴马是如何利用推特完成了小额但大规模的募捐的：也就是如何起号。 但TikTok的逻辑变了。你要获得更大的关注和影响力，你需要持续的大量的内容输出——且必须迎合算法所谓的热点倾向。那么，结果就变得异常清晰： 长篇大论逻辑精密结构复杂的内容，是不合这个倾向的，也是不可能持续性输出的。你必须不断地输出短平快的口号式内容， ...

Group 1 - The rapid development of Artificial General Intelligence (AGI) is reshaping knowledge production and human cognition, leading to a historical turning point for civilization [1][4] - The average daily screen time for humans has reached 6.2 hours, with 78% of information acquisition relying on algorithmic recommendations, resulting in fragmented attention and a decline in deep reading ability by 12% annually [1][2] - Long-term use of recommendation algorithms has led to a 47% decrease in viewpoint diversity among users compared to a decade ago [2] Group 2 - The rise of generative AI poses a cognitive crisis, as 83% of university students cannot distinguish between AI-generated and human-authored academic papers [4] - The reliance on algorithms for knowledge acquisition undermines critical thinking and the traditional process of knowledge construction [4][10] - The value judgment system is collapsing as algorithms prioritize user preferences, reducing complex ethical considerations to quantifiable metrics [4][10] Group 3 - Classic texts serve as a unique value, acting as a spiritual anchor that transcends time and offers insights into human experience [5][6] - Classics are subjected to a rigorous selection process over time, allowing each generation to derive new meanings from them [6][7] - Deep reading of classic literature enhances cognitive abilities, with studies showing a 31% improvement in logical reasoning and abstract thinking among students who engage in classic reading [9] Group 4 - The ethical implications of reading in the digital age necessitate a reconstruction of reading practices, emphasizing slow reading and the value of re-reading classics [12][13] - Establishing a dialogue ethic encourages critical engagement with texts, fostering a cross-temporal intellectual community [13] - Value ethics highlights the importance of preserving humanistic values against the backdrop of technological rationality, ensuring that classic literature remains a guiding light for moral considerations [14][18] Group 5 - Innovative presentation methods for classic texts in the digital age can enhance engagement without compromising their essence [15][16] - Educational systems should prioritize classic reading to cultivate critical thinking and moral judgment, as evidenced by successful educational reforms in various countries [17] - The preservation of humanistic values through classic reading is essential in the face of advancing technology, ensuring that humanity retains its unique cognitive and ethical dimensions [18][19]

Core Viewpoint - The article discusses the rise of AI-generated videos that create disturbing and bizarre content, leading to a phenomenon termed "mental pollution" for viewers. This trend is driven by creators exploiting algorithms to gain views and revenue, resulting in a flood of low-quality content on social media platforms [1][3][10]. Group 1: AI-Generated Content and Its Impact - AI-generated videos have gained immense popularity, with one video on Instagram reaching 362 million views and 3.49 million likes, indicating a significant algorithmic push for such content [2][17]. - The nature of these videos is characterized by sudden, unsettling transformations that evoke a sense of discomfort, making them more disturbing than traditional horror films [6][7]. - The rapid production of these videos allows creators to continuously test and exploit platform algorithms, leading to a cycle where low-quality content proliferates [9][10]. Group 2: The Business Model Behind AI Content Creation - Creators like Daniel Bitton have successfully monetized AI-generated content, claiming to earn substantial income by producing videos quickly and cheaply compared to traditional methods [13][14]. - Tools and services that facilitate the creation of AI-generated videos are becoming increasingly popular, with platforms like Crayo.ai offering automated solutions for content generation [15]. - The business model relies on quantity over quality, where creators can produce numerous videos in a short time, thus increasing the chances of hitting the algorithm jackpot [10][11]. Group 3: Platform Responses and Future Implications - Social media platforms, particularly Meta, have not only allowed but encouraged the proliferation of AI-generated content, viewing it as a way to enhance user engagement and advertising revenue [16][17]. - The article warns that the dominance of AI-generated content could lead to a future where genuine human creativity is marginalized, and misinformation becomes rampant [19]. - There is a call for clearer regulations and labeling for AI-generated content to protect users from potential misinformation and mental distress [19].