Qiyuan Robotics’ Embodied Intelligence Research Center released PrimeSim, an interactive world-model simulator for robotic manipulation, according to 36Kr and Machine Heart. Built from a pretrained video-generation model, PrimeSim reportedly supports cross-embodiment few-shot transfer, continuous rollouts exceeding two minutes, and reinforcement learning; its weights and inference and training code are planned for open-source release. The research team reports a 6.09 composite score on EWMBench and first place in three of WorldSimProbe’s five dimensions, while 36Kr says reinforcement learning raised policy success from 61.7% to 73.2%.