TWITTER'S ALGORITHM IS OPEN-SOURCED

Yes, The twitter's algorithm is revealed publicly (at least, part of it)

Twitter has been losing its value. It's valuation is around $20 billion now. But, as promised before, Elon Musk has released a part of 'The Recommendation Algorithm' out to the public and the rest of it will be released later.

Musk tweeted that Friday's release was "most of the recommendation algorithm" and said that the rest would be released in the future. He also said that the hope is "that independent third parties should be able to determine, with reasonable accuracy, what will probably be shown to users." In a Space discussing the algorithm's release, he said the plan was to make it "the least gameable system on the internet" and to make it as robust as Linux, perhaps the most famous and successful open-source project. "The overall goal is to maximize on unregretted user minutes," he added. He's said it's "overly complex & not fully understood internally" and that people will "discover many silly things" but has promised to fix issues as they're discovered. "Providing code transparency will be incredibly embarrassing at first, but it should lead to rapid improvement in recommendation quality," he tweeted.

Twitter has put up a blog post explaining the decision and released all the code into a github repository. It breaks down what the algorithm looks at when determining which tweets to feature in the For You timeline and how it ranks and filters them. According to Twitter's blog post, "the recommendation pipeline is made up of three main stages." First, it gathers "the best Tweets from different recommendation sources," then it ranks those tweets with "a machine learning model." Lastly, it filters out tweets from people you've blocked, tweets you've already seen, or tweets that are not safe for work, before putting them on your timeline. It is known that the prime intention behind the decision is to make twitter like the 'Linux' of Social Media, the most popular and successful open-source project till date.