X平台(原推特)已将其最新的“For You”信息流推荐算法在GitHub上开源。新算法从依赖点赞、转发等硬性规则排序,转向更接近Grok风格的AI智能排名系统。该系统通过Thunder实时获取用户关注账号的帖子,再通过Phoenix从全平台检索相关的外部内容进行补充。其核心排名模型不再单一判断帖子质量,而是像Transformer模型一样,将用户、帖子和历史行为作为一个整体进行预测,评估用户可能进行回复、点赞、转发、观看或跳过等多种互动可能性,从而实现更个性化的内容推荐。
X has released the latest "For You" feed algorithm to GitHub.
Moving the feed closer to a Grok-style AI ranking system than a rule-heavy social media sorter.
The system first gathers posts from accounts you follow through Thunder, then adds outside posts through Phoenix, which searches for content that looks relevant even if you do not follow the author.
Ranking now behaves less like a checklist of likes, reposts, and keywords, and more like a transformer model that reads the user, the post, and past behavior as one prediction problem.
Instead of asking "is this post good," the model predicts multiple possible actions, such as whether you might reply, like, repost, watch, or skip.