#オープンソース
X Algorithm Upgrades to 'Phoenix' AI Architecture: Video Embeddings and Unified Recsys Revealed
xAI released major updates to the open-source X recommendation algorithm. The commit introduces the next-generation 'Phoenix (xrex)' recsys framework, video embedding hydrators, post v8 search embedding clients, and revamped safety label processing.
Open-Source X Recommendation Algorithm: Phoenix ML Integration, Immersive Video Scoring, and Visibility Filtering
The open-source X recommendation algorithm has been updated to detail the Phoenix-based candidate pipeline within the Rust home-mixer, dedicated immersive video scoring and carousel filtering, and an end-to-end visibility filtering subsystem governing content safety and action limitations.
Open-Sourcing X's Recommendation Algorithm: Phoenix RecSys Engine & Visibility Filtering Breakdown
xAI has open-sourced the latest codebase for the X recommendation algorithm. This release details the Rust-based 'Phoenix' RecSys engine, the Home Mixer pipeline, and the comprehensive visibility filtering rules governing content moderation.
Open-Sourcing the X Recommendation Algorithm: A Technical Deep Dive into the Phoenix Artifacts Release
X (formerly Twitter) has released the open-source version of its core recommendation engine, "Phoenix". This commit introduces a critical zip archive (`oss-phoenix-artifacts.zip`) containing the key artifacts, models, and configurations driving the recommendation pipeline. This release marks a major step toward algorithmic transparency, allowing developers to analyze how content is selected and ranked for users' feeds.