Technology

X Turns the Transparency Tables on Brussels

EU regulators wanted to see inside X. Musk now wants users to see how governments intervene in what appears on the platform.

Elon Musk with Thierry Breton.

Elon Musk with former EU Internal Market Commissioner Thierry Breton, who oversaw the introduction of the Digital Services Act during his time in Brussels. Photo: Twitter/Thierry Breton

The standoff between Elon Musk and Brussels over the regulation of X is entering a new phase. The European Commission has made algorithmic transparency one of the pillars of the Digital Services Act (DSA) in order to understand how major platforms select, rank and recommend content. Musk has chosen to take Brussels at its word: rather than simply complying with EU requirements, he intends to lift the lid on X and, in the process, reveal who is trying to influence what appears on the platform.

This move is not entirely new. In March 2023, after Musk’s acquisition, Twitter published part of the code used to power the recommendations in its feed. But that initial initiative remained limited in scope. The real change came in January 2026, when X released the code for its For You feed recommendation system. The code pertains to the core mechanism that determines which posts are suggested to users.

From Compliance to Exposure

What X is making public is therefore not its entire algorithm, nor does it make the platform’s whole operation transparent. More specifically, X has published the mechanism that selects and ranks posts likely to interest each user. The repository is publicly accessible on GitHub and published under the Apache 2.0 license.

The system retrieves posts from two sources: accounts the user follows and posts from accounts the user does not follow, selected by a machine learning system. This content is then ranked by Phoenix, a model developed using technology from Grok, the artificial intelligence developed by Musk's xAI. The model does not simply assess whether a post is likely to appeal to a user; it estimates the probability that the user will like, share, reply to, quote or take other actions on it. The final ranking then depends on these predictions.

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