Qwen-AgentWorld trains agents with a language world model
Alibaba’s Qwen team introduced Qwen-AgentWorld, a language world model that predicts how environments respond to agent actions.
7 verified stories covering Qwen, product updates and industry developments.
Alibaba’s Qwen team introduced Qwen-AgentWorld, a language world model that predicts how environments respond to agent actions.
Qwen-Robot Suite is software rather than hardware: three models for navigation, manipulation and world prediction, designed to run on robots from AgileX, Franka, Universal Robots and Unitree.
The former Alibaba Qwen lead is building a new lab around world models and embodied AI instead of another chatbot.
Alibaba's Qwen team released three embodied AI models, with RobotManip lifting cross-robot transfer success from 7.5% to 23.9% while RobotNav and RobotWorld cover movement and prediction.
The multimodal version of Qwen3.7-Max can read images and video, but Alibaba is emphasizing autonomous iteration, tool use and self-testing.
Alibaba released Qwen3.7-Plus on June 2, highlighting multimodal input, tool use, code generation and autonomous testing as its next agent bet.
Alibaba demonstrated its Qwen3.7-Max model autonomously writing kernel drivers for its new Zhenwu M890 chip, achieving a 10x performance boost in 35 hours.