When X's engineering team published the code that powers the platform's "for you" algorithm last month, Elon Musk said the move was a victory for transparency. "We know the algorithm is dumb and needs massive improvements, but at least you can see us struggle to make it better in real-time and with transparency," Musk wrote. "No other social media companies do this."
While it's true that X is the only major social network to make elements of its recommendation algorithm open source, researchers say that what the company has published doesn't offer the kind of transparency that would actually be useful for anyone trying to understand how X works in 2026.
The code, much like an earlier version published in 2023, is a "redacted" version of X's algorithm, according to John Thickstun, an assistant professor of computer science at Cornell University. "What troubles me about these releases is that they give you a pretense that they're being transparent for releasing code and the sense that someone might be able to use this release to do some kind of auditing work or oversight work," Thickstun told Engadget. "And the fact is that that's not really possible at all."
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Predictably, as soon as the code was released, users on X began posting lengthy threads about what it means for creators hoping to boost their visibility on the platform. For example, one post that was viewed more than 350,000 times advises users that X "will reward people who conversate" and "raise the vibrations of X." Another post with more than 20,000 views claims that posting video is the answer. Another post says that users should stick to their "niche" because "topic switching hurts your reach." But Thickstun cautioned against reading too much into supposed strategies for going viral. "They can't possibly draw those conclusions from what was released," he says.
While there are some small details that shed light on how X recommends posts — for example, it filters out content that's more than a day old — Thickstun says that much of it is "not actionable" for content creators.
Structurally, one of the biggest differences between the current algorithm and the version released in 2023 is that the new system relies on a Grok-like large language model to rank posts. "In the previous version, this was hard coded: you took how many times something was liked, how many times something was shared, how many times something was replied … and then based on that you calculate a score, and then you rank the post based on the score," explains Ruggero Lazzaroni, a pHD researcher at the University of Graz. "Now the score is derived not by the real amounts of likes and shares, but by how likely Grok thinks that you would like and share a post."
That also makes the algorithm even more opaque than it was before, says Thickstun. "So much more of the decisionmaking … is happening within black box neural networks that they're training on their data," he says. "More and more of the decisionmaking power of these algorithms is shifting not just out of public view, but actually really out of view or understanding of even the internal engineers that are working on these systems, because they're being shifted into these neural networks."
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