#XAlgorithm
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.
X Algorithm Update: Next-Gen Phoenix Pipeline, GPU Scorer Runtime, and Abuse Enforcement Integration
The latest open-source release integrates the next-generation 'Phoenix' candidate pipeline and scorer with a specialized GPU scoring runtime (BDSM). Key updates also introduce post-engager feature hydration, a zero-favorite codivert filter, and an overhaul of confidence-based abuse enforcement controls.
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.
xAI Open-Sources New X Recommendation Algorithm: Transformer-Powered Architecture Featuring FlashAttention-4 and CuTe DSL
xAI has open-sourced the modernized X recommendation algorithm under the 'Phoenix/xrex' stack. The update introduces a full Transformer-based ranking architecture leveraging CuTe DSL, FlashAttention-4 variable-length attention kernels, and sequence packing to process user engagement sequences efficiently.
X Open-Sources Core Algorithm Overhaul: Rust-Powered 'home-mixer' and Next-Gen Value Models Revealed
The xAI and X engineering teams have officially released an updated open-source codebase featuring the Rust-based 'home-mixer' architecture. This update details the modern 'For You' and 'Following' candidate pipelines, integrating SimClusters ANN retrieval, brand safety scoring, out-of-network filters, cold-start creator boosts, and value model (VM) ranking debiasing.