Possible logic of the new recommendation algorithm on X platform: 1. Full content analysis and real-time interest modeling. Unlike heuristic algorithms that rely on preset rules to filter content, Grok has the ability to fully understand content - it can read and analyze all the posts (text, images) and over 100 million videos generated by the platform every day, rather than relying solely on indirect indicators such as likes and shares. On this basis, Grok will build a "dynamic interest model" for each user, capturing the potential needs behind user clicks, stays, interactions, and other behaviors in real time, achieving precise matching of "content user" Meaning that the rules are completely driven by Grok AI, no longer relying on traditional rules. 2. Prioritize content quality over account influence Traditional algorithms tend to display content from large accounts, while new algorithms focus more on the quality of the content itself. The recommendation logic will "break the inherent bias of traffic allocation" and no longer limit the exposure of high-quality content based on account size or historical weight Grok breaks the "small account dilemma" by directly analyzing the quality of the content itself (such as information integrity, innovation, and fit with user interests), rather than relying on past account data. As long as users post high-quality content, even if their account has a small fan base, they have the opportunity to be recommended to interested groups. Grok is expected to provide high-quality content for small and medium-sized accounts with equal exposure opportunities as top accounts. 3. Support "personalized feed dynamic adjustment" To further enhance user control, Grok will add a "natural language interaction adjustment" function - users can directly request from Grok (such as "temporarily increasing the proportion of technology content" or "long-term reducing entertainment information") to adjust the content structure of their personal information flow in real time, achieving a transition from "what algorithms push" to "what algorithms push". Lao Ma believes that this feature will balance "content discovery" and "personalized control", making the recommendation system more in line with users' real needs. Realize true personalized customization and reduce the information cocoon effect This will bring about a restructuring of the X platform's traffic ecosystem, which is expected to bring "high-quality content back to its core value" instead of relying on account fan numbers, activating the diversity of the platform's content ecosystem. This is consistent with the previous conversation with the X product manager @ nikitabier: X cannot push all of your tweets to all trackers, and there is a limit to how many tweets each person can browse per day. A large amount of low-quality content will consume reach. For X users, high-quality and interesting content is more favored by Grok.