Tech Beetle briefing US AI

X admits its broken algorithm made the site feel like a 'battleground'

Essential brief

X's head of product, Nikita Bier, acknowledged that the platform's algorithm lacked data on posts from mutual followers, which contributed to a negative user experience. A recent update aims to inc

Key topics

admits broken algorithm site feel like battleground Nikita Bier algorithm posts mutual

Key facts

X's algorithm previously lacked data on posts from mutual followers, affecting content visibility.

The update boosts the visibility of posts shared by users who follow each other.

This change aims to enhance community feeling and reduce exposure to random arguments.

Improved content relevance may lead to better user engagement and satisfaction.

Highlights

Nikita Bier, X's head of product, confirmed the algorithm issue on July 14, 2026.

The algorithm missed surfacing posts from mutual followers, impacting user experience.

A tweak now increases visibility of posts to mutual connections.

The update aims to foster a stronger sense of community on the platform.

X plans to continue refining its algorithm based on user feedback.

Why it matters

The algorithm update addresses a key issue affecting user experience on X by prioritizing content from mutual connections, which can strengthen community engagement. By reducing the visibility of random or contentious posts, the platform aims to create a more positive and relevant environment for users. This shift highlights the importance of algorithm transparency and responsiveness in social media platforms.

X's head of product, Nikita Bier, revealed that the platform's algorithm was missing critical data regarding posts from users who are mutually followed. This omission led to an experience where users saw fewer posts from their mutual connections, contributing to a perception of the site as a "battleground." To address this, X has implemented an algorithm update designed to boost the visibility of posts from mutual followers. The goal is to enhance the sense of community by prioritizing content from users with reciprocal connections rather than amplifying random or contentious posts. This adjustment is expected to improve the overall user experience by making interactions more relevant and engaging. The update reflects X's ongoing efforts to refine its content delivery system and respond to user feedback. By focusing on mutual connections, the platform aims to foster more meaningful interactions and reduce the spread of divisive content. This change may also influence how users engage with the platform, potentially increasing time spent and satisfaction. X continues to monitor the impact of this update and plans further refinements to its algorithm in the future to better serve its community.

Key topics in this update include admits, broken algorithm, and site feel like.