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].