AI HOT (Curated Pool)May 15, 2026, 21:34 UTC+8

X open-sources the “For You” feed recommendation algorithm

X平台开源"For You"信息流推荐算法

X open-sourced the For You recommendation pipeline on GitHub, using a Grok-based Phoenix Transformer to score candidate posts and predict engagement probabilities such as likes, replies, and reposts.

Why it matters: HKR-H/K/R all pass, but the item only gives the open-source claim and Phoenix Transformer ranking mechanism; repo details, license, and reproducible tests are not disclosed, so it stays low-featured.

Read the original ↗Export Markdown

Take

X chose the boundary well: code, pretrained model, content understanding services, and ad mixing are public, while production power stays in live data and experiments. The For You stack covers candidate retrieval, context enrichment, Phoenix Transformer scoring, diversity adjustment, and spam filtering. It predicts likes, replies, and reposts, which is a thicker release than Twitter’s earlier partial ranking-code drop.

I don’t buy the “algorithmic transparency” framing. The sensitive parts of a recommender are not the Transformer skeleton. They are feature freshness, negative-feedback weights, safety and political policy knobs, ad auction hooks, and A/B bucketing. The snippet says the pipeline is runnable, but gives no online feature distributions, experiment configs, or policy thresholds. Developers can reproduce the shape; they cannot reproduce X’s feed.

Source: AI HOT (Curated Pool) · x.com
Published: May 15, 2026, 21:34 UTC+8 · May 15, 2026