# X Square Robot releases WALL-SS next-scale autoregressive world model

- Source: 自变量机器人 · 微信公众号
- Published: 2026-08-27T07:59:20.000Z
- RoboHot: https://robohot.news/en/items/hssitmh9q3pbctzxghnozm7gf
- Original: https://mp.weixin.qq.com/s?__biz=MzkzOTc1NjE3Nw==&mid=2247485986&idx=1&sn=a77cae92e1f643a570b0ef90810a26f0&chksm=c341463f4be82a681637e8a04b6fdf5feccbf4ea5fb0077303a2db47a5699b51d035be21ef22&scene=126&sessionid=1792687143#rd

## Summary

X Square Robot has released WALL-SS, a next-scale autoregressive world model that uses a coarse-to-fine, layer-by-layer refinement generation architecture, breaking away from the traditional diffusion-model approach of generating video in a single segment. In testing, its action-following score was 0.29, the only nonzero score among the compared models; the overlap between generated trajectories and action instructions rose from 0.251 to 0.539; streaming inference can reach 60 seconds of footage without collapse; and in closed-loop policy consistency tests across 6 tasks and 5 training stages, the success-rate agreement between virtual and real-world tasks reached 93%.

## Why it matters

The source gives three quantitative metrics and the architecture design, which readers can use to assess how feasible the world model is as a policy testbed.