EP188: [Agent-World] AI Building Its Own Training Worlds

Title: Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent IntelligenceSource: http://arxiv.org/abs/2604.18292v1Summary:Agent-World provides a foundational framework for scaling general agent intelligence by autonomously synthesizing thousands of real-world environment themes and tasks for continuous self-evolution. The co-evolution of agent policies and environments enables models to identify and bridge capability gaps, allowing smaller models to consistently outperform larger proprietary baselines.