While Elon Musk touted the open-source release of X's algorithm as a win for transparency, researchers are skeptical. They argue that the released code is heavily redacted and doesn't offer enough insight to understand how the platform truly operates. This follows a similar release in 2023, which also drew criticism for its lack of actionable detail.

The released code notably uses a Grok-like large language model to rank posts, making the algorithm even more opaque. Missing from the release is also crucial information on the data used to train the model. This lack of detail hinders the ability to audit the algorithm or understand potential biases, according to experts like John Thickstun from Cornell University.

Experts such as Ruggero Lazzaroni believe that the limited information prevents researchers from fully reproducing and studying the X algorithm. This is particularly relevant as many of the same issues raised about social media algorithms are also surfacing in the context of AI chatbots. The lack of transparency ultimately limits the potential for understanding and improving content moderation.

Ultimately, the move by X to open-source its algorithm, while seemingly transparent, falls short of providing meaningful insights. The redacted code and lack of training data leave researchers unable to fully analyze the platform's inner workings. This raises questions about X's true commitment to transparency and the potential for independent oversight.