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Outbyte PC Repair FREERepair Windows errors before they cause bigger problemsFix Now →Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →Twitter’s March 31, 2023 source-code release included an identifier named author_is_elon, but that alone does not show that Musk’s tweets were boosted. A code comment described author labels as metrics and A/B-testing instrumentation, and Musk said he had not known about the label. The release was partial, and the available reporting does not establish whether the identifier remains in today’s X systems.
What did “hardcoded into Twitter” mean?
On March 31, 2023, Twitter published part of its source code, including code for recommendations in the For You timeline. In that code, reporters found the predicate author_is_elon alongside labels including author_is_power_user, author_is_democrat and author_is_republican. Ars Technica’s contemporaneous inspection reported the identifiers and reproduced a comment about their purpose.
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Here, “hardcoded” refers to an explicit author-category identifier in the released code. It does not, by itself, mean the recommendation system automatically promoted every tweet from Musk, or that the code proves preferential treatment.
What did the label do, according to the code comment?
The comment reproduced by Ars Technica said the author ID lists were used “purely for metrics collection” to track how often tweets from those authors were served and how often users impressed them. It said this helped validate in A/B experiments that changes did not negatively affect one group over another. That is the stated purpose in the comment; the excerpt does not independently demonstrate how every deployed ranking path behaved.
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Futurism also reported that an engineer described such categories as tracking mechanisms for checking bias between groups, rather than a way to give a group special treatment. That explanation is an account of the intended use, not proof that every production system used the labels only in that way. Futurism’s April 5, 2023 report includes the discussion and engineering comments.
What did Musk say when he learned about it?
During a Twitter Spaces discussion, Musk reportedly reacted: “I think it’s weird. This is the first time I’m learning of this by the way.” Futurism reported that senior engineering manager Brian Wichers said the labels had been added about a decade earlier and were “not too important in how it’s used throughout the code base.”
Did the code prove Musk’s tweets were boosted?
No. The identifier shows that the released code included a label for Musk’s author category; the accompanying comment described measurement and experimentation. Neither fact establishes that the label raised his tweets’ ranking. Ars Technica also cautioned that the posted repository could not confirm every implication of the system and discussed a separate reported VIP list for which it had not found evidence in the released code.
Twitter’s announcement framed the publication as an initial, partial release. It excluded ad-recommendation code, training data and model weights, so the repository was not a complete record of every component or behavior. Twitter said: “Ultimately, this is our first step to be more transparent in this way, and we plan to continue sharing more code that does not present a significant risk to Twitter or people on our platform.” The March 31 announcement describes the release’s scope.
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What the 2023 release does—and does not—tell us
At the time, Twitter described a recommendation pipeline that ran approximately five billion times per day. It said the For You timeline averaged a 50/50 mix of tweets from followed and non-followed accounts, varying by user, and that its ranking neural network had approximately 48 million parameters. These are historical figures reported by TechCrunch from Twitter’s 2023 description, not current X specifications. TechCrunch’s March 31 coverage reports those details.
The finding and Musk’s reaction belong to the March 31–April 5, 2023 news cycle, not a newly verified discovery about X in 2026. The cited reporting does not establish whether author_is_elon remains in current production code or how any present-day recommendation system handles Musk’s posts.
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