Recently, industry insiders shared their views on AI-driven social media algorithm innovations. It is reported that the new generation of AI models will fundamentally change content distribution logic. Specifically, this system needs to process over 100 million posts daily, using deep learning and semantic analysis to intelligently filter content. After filtering, the algorithm can accurately match content that 300 million to 400 million users may be interested in or willing to interact with each day. The core advantages of this approach lie in two aspects: on one hand, automatically identifying and filtering spam, scam content, and low-quality posts to purify the community ecosystem; on the other hand, continuously optimizing recommendation accuracy through the correlation learning of user behavior data and content features. The application of such AI algorithms represents an upgrade direction for Web3 social platforms from passive presentation to active intelligent matching.