https://arxiv.org/abs/2606.24597
Why CEREBRO kept it
Novel agentic pattern: single model simulating 7 agent environments.
The text below is an automated extraction of the article at https://arxiv.org/abs/2606.24597, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (arxiv.org).
📣📣 Meet Qwen-AgentWorld — a native language world model that simulates 7 agent environments (MCP, Search, Terminal, SWE, Web, OS, Android) within a single model. Environment modeling is the training objective from day one, not a post-hoc adaptation.
🤔 LLMs are trained to be better agents — better at acting in environments. But nobody has trained them to model the environments themselves.
🗺️ Our roadmap: investigate how language world modeling can push the boundaries of general agent capabilit
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