newsVentureBeatTrust 60Published 1mo agoLive · 1mo ago
Alibaba's model never trained as an agent — and improved agent performance across seven benchmarks
Alibaba's Qwen team released Qwen-AgentWorld on Tuesday — two models trained not to act inside agent environments, but to predict what those environments return. The release covers seven domains under a single architecture: MCP, Search, Terminal, Software Engineering, Android, Web, and OS. The release extends Alibaba's recent push into autonomous agents.
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paperScaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B AgentpaperSelf-Evolving World Models for LLM Agent PlanningpaperQVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agentsrepomckinsey/agents-at-scale-marketplacerepopydantic/pydantic-airepoqualcomm/ai-hub-modelsrepowaveix/pkg-ffagentrepoThousandBirdsInc/chidorirepoaffaan-m/ECCrepoalibaba/spring-ai-alibabarepoModelEngine-Group/nexentrepomirror29/inalphapaperQFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognitionrepo4thfever/cultivation-world-simulatorrepocamel-ai/camelrepoAgentToolkit/altk-evolvepaperEdgeBench: Unveiling Scaling Laws of Learning from Real-World EnvironmentsrepoQodeXcli/QodeXrepolemoncrowhq/lemoncrowrepoqualcomm/ai-hub-appsrepoNexis-AI/NexBenchrepomicrosoft/qlibrepoAlibaba-Quark/SSPrepoxqbase/eleeye
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repomckinsey/agents-at-scale-marketplacerepomicrosoft/qlibrepoqualcomm/ai-hub-modelsrepolemoncrowhq/lemoncrowrepowaveix/pkg-ffagentrepoaffaan-m/ECCpaperSelf-Evolving World Models for LLM Agent PlanningrepoQodeXcli/QodeXrepoAgentToolkit/altk-evolvepaperQVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agentsrepomirror29/inalpharepo4thfever/cultivation-world-simulatorpaperScaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B AgentpaperEdgeBench: Unveiling Scaling Laws of Learning from Real-World EnvironmentsrepoMoh4696/free-ai-modelsrepopydantic/pydantic-airepoModelEngine-Group/nexentrepoNexis-AI/NexBenchrepoqualcomm/ai-hub-appsrepoxqbase/eleeyearticleA field guide to AI agents in 2026modelAgentCore-8BpaperQFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognitionrepoalibaba/spring-ai-alibabarepocamel-ai/camelrepoAlibaba-Quark/SSPrepoThousandBirdsInc/chidorirepoFareedKhan-dev/agentic-quantum-computingrepoagent-tools
