Rejecting the Algorithm Black Box: X Initiates a "Transparent" Transformation, Ushering in an Era of Inclusive Traffic Distribution? Elon Musk has completely open-sourced his core recommendation algorithm, encompassing not only the logic for retrieving organic tweets but also the code for ad placement. This high level of transparency directly addresses the long-standing problems of "algorithm black boxes" and information bias that have plagued social media. From a user experience perspective, X's algorithm logic is undergoing a qualitative leap, becoming more like Xiaohongshu (a popular Chinese social media platform): Breaking the Information Cocoon: The algorithm no longer mechanically pushes only vertical content. The past phenomenon of screens filled with cryptocurrency content is disappearing, replaced by cross-domain recommendations across business, AI, and social life, achieving true "breaking out of the circle." Inclusive Traffic Distribution: X is now extremely friendly to ordinary bloggers. Even with only a few thousand followers, as long as the content triggers the initial weight, it's entirely possible to gain hundreds of thousands of impressions. This "horse race mechanism" allows ordinary bloggers to compete on the same stage as top influencers. Extended Lifecycle: Tweets are no longer "flash in the pan," and their long-tail effect is significantly enhanced. Many high-quality content pieces continue to receive recommendations 24 hours after publication, giving them ample time to gain traction. Ad experience optimization: Gone is the initial "bombardment" of ads after Musk took over; ad delivery is now more precise and discreet, eliminating awkward and irrelevant placements. So, X users, how's your data usage?