马斯克又一大动作！AI教你制造爆款

Core Insights - The article discusses the launch of X's new recommendation algorithm, which has transitioned to an AI-driven model, moving away from manual rules and features [2][3][10]. Group 1: Algorithm Overview - The new X recommendation algorithm has been open-sourced, utilizing a Transformer architecture similar to that of xAI's Grok model [2]. - The algorithm removes most manual rules and features, relying instead on AI to learn user preferences based on past interactions [3][4]. - Two main systems drive content delivery: Thunder, which ensures users see updates from accounts they follow, and Phoenix, which predicts content users may like even if they do not follow the source [4][6]. Group 2: Content Evaluation - Phoenix evaluates content based on predicted user interactions, considering 15 potential behaviors, both positive and negative [6][7]. - The algorithm prioritizes content that is likely to generate engagement, rather than content that has already received high engagement [7][11]. - Factors such as comment engagement and user reading time are weighted heavily, with comments and author replies being significantly more valuable than likes [11][12]. Group 3: Implications for Creators - Creators are encouraged to adapt their content strategies to align with AI logic, moving away from traditional "traffic tricks" [10][13]. - The algorithm favors content that stimulates discussion, suggesting that engagement through comments is more beneficial than mere likes [28][39]. - The system's focus on emotional and controversial content may lead to a shift in creator behavior, potentially prioritizing sensationalism over thoughtful expression [13][14]. Group 4: Future Considerations - The algorithm will be updated every four weeks, providing creators with opportunities to adjust their strategies based on performance data [12]. - The shift towards AI-driven recommendations raises questions about the authenticity of content creation, as creators may feel pressured to cater to algorithmic preferences [13][39].