Multimodal intelligence can be viewed as human-guided co-evolution between worlds and agents through interaction. However, scaling this process faces two bottlenecks: constructing heterogeneous, verifiable environments is costly, and manual Harness iteration cannot keep pace with growing task diversity and complexity....
Wei-Dong Tang, Rui-Heng Wang, Jing-Xuan Zhang et al.· 2 citations
REA (Routed Embodied Agent) is proposed, a unified runtime where a deliberative System 2, an embodied router System 1 and reactive System 0 policies cooperate under a single golden rule - no running policy waits on the brain.
P. Zhou, Yi-Xin Ma, Zhengfeiyang Zhang et al.· 0 citations
The Trinity is introduced, a recursive self-improvement framework coupling world generation with Harness evolution through three roles: Creator, Explorer, and Evolver, which introduces Capability-Driven Real2Sim2Real: for heterogeneous tasks at the same node, Creator abstracts their common requirements into simplified,...
Wei-Dong Tang, Rui-Heng Wang, Jing-Xuan Zhang et al.· 0 citations
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