X Open-Sourced Its Feed Algorithm powered by Grok.

📰 Medium · Machine Learning

X open-sources its feed algorithm powered by Grok, providing transparency into its ML-driven decision making

advanced Published 19 May 2026
Action Steps
  1. Explore the 187 open-sourced files to understand the algorithm's architecture
  2. Run the code to see how Grok powers the feed algorithm
  3. Configure and test the algorithm with different inputs to analyze its decision-making process
  4. Apply the insights gained from the open-sourced algorithm to improve your own ML-driven projects
  5. Compare the performance of the open-sourced algorithm with other proprietary algorithms
Who Needs to Know This

Machine learning engineers and data scientists on a team can benefit from this open-source release to understand and potentially improve upon the feed algorithm, while product managers can utilize this to inform product decisions

Key Insight

💡 Transparency into ML-driven decision making can be achieved through open-sourcing complex algorithms like X's feed algorithm

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🚀 X open-sources its feed algorithm! 🤖 Explore 187 files & 18k lines of code to understand how Grok powers its ML-driven decision making

Key Takeaways

X open-sources its feed algorithm powered by Grok, providing transparency into its ML-driven decision making

Full Article

187 files. 18,000 lines of new code. The black box is open. Continue reading on Medium »
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