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Behind X's Recommendation Algorithm Open Source: Transparency and Technical Breakthroughs in Transformer Architecture
【ChainWen】The recommendation system of Platform X has long been criticized, but the pace of improvement has not slowed down. Recently, there are reports that the development team is accelerating the optimization of algorithm performance and has made a bold decision — to fully open source the new algorithm, allowing everyone to see the entire process of iterative adjustments in real time.
What’s interesting about this algorithm is that it adopts the same Transformer architecture as the Grok model under xAI. This not only demonstrates technical consistency but also indicates a coherent development approach.
Even more noteworthy is the open-source implementation plan. According to the original schedule, a new version will be released every 7 days, and this cycle will repeat every four weeks. In other words, users and developers can continuously track the evolution of the algorithm, ensuring a high level of transparency.
This approach actually reflects a larger trend — the emphasis on openness and verifiability within the Web3 ecosystem. By involving the community in witnessing technological iterations, the platform can not only gather more suggestions but also earn users’ trust.