Algorithm Watch

xai-org/x-algorithm

Latest Algorithm Updates

Tracking and explaining changes to the Twitter/X open-source algorithm

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Algorithm Guides

Xの「おすすめ」タイムラインはどう決まる?ランキングの全体像

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エンゲージメントの重み付け:いいね・リポスト・返信・滞在時間の効き方

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フォロワー外に届くには?拡散を左右する要因とシャドウバンの誤解

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リポストと引用リポストの違い:拡散への効き方を使い分ける

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動画・画像・テキスト:メディア種別はリーチにどう影響する?

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投稿頻度と連投の是非:スパム判定を避ける運用

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著者の信頼性とは?伸び続けるアカウントが持つ条件

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Premium(認証)はリーチに効く?課金と表示優先の実際

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返信(リプライ)を武器にする:会話ツリーとリーチの関係

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最初の30分が勝負:初速を最大化する投稿設計

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ブックマーク(保存)は伸びる?後で読む反応が持つ意味

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ハッシュタグとトレンドはランキングにどう関わる?仕組みと使い方の考え方

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外部リンク付き投稿は伸びにくい?リンク誘導とリーチの関係を整理する

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「興味なし」「ミュート」「通報」はどう効く?ネガティブ信号とリーチの関係

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Xの通知はどう選ばれている?おすすめ通知とリーチの意外な関係

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スレッド(連続投稿)はどう扱われる?伸びる構成と続きを読ませる設計

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Xのアナリティクスはどこを見る?インプレッションと反応率の読み方

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「おすすめユーザー」に載るには?フォロー推薦の仕組みとアカウント設計

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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.

High Impact5min9106e9fNov 2, 2026
XAlgorithmPhoenixMachineLearningVideoRecommendation

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.

High Impact5min862a123Oct 19, 2026
XAlgorithmPhoenixGPURuntimeMachineLearning

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.

High Impact5min92f0918Oct 15, 2026
XAlgorithmOpenSourcePhoenixVideoRecommendation

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.

High Impact5mincb45b55Oct 12, 2026
XAlgorithmxAIMachineLearningTransformer

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.

High Impact5minb412112Oct 5, 2026
XAlgorithmRustHomeMixerBrandSafety

Inside X's Open-Source Algorithm: Phoenix RecSys, Author Cold Start, and Mutual Follow Mechanics

A major open-source update to the X algorithm repository reveals the inner workings of the next-generation 'Phoenix (xrex)' neural recommendation framework, Rust-based Home Mixer enhancements for author cold-start scoring and mutual-follow metrics, and low-latency visibility filtering subsystems.

High Impact5min902a06fSep 7, 2026
TwitterAlgorithmRecSysPhoenixMachineLearning

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.

High Impact5minbc8e5f0Aug 31, 2026
TwitterAlgorithmxAIPhoenixRecSys

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.

High Impact5min0bfc279Jul 11, 2026
X AlgorithmPhoenix EngineOpen SourceRecommendation System