Agents
🧠 Paradigm II — Agent Foundation Model: world modeling as agent capability. Single-turn, non-agentic environment prediction → tested direct…
🧠 Paradigm II — Agent Foundation Model: world modeling as agent capability. Single-turn, non-agentic environment prediction → tested directly on multi-turn, tool-calling agent tasks. No agentic RL, no
🧠 Paradigm II — Agent Foundation Model: world modeling as agent capability. Single-turn, non-agentic environment prediction → tested directly on multi-turn, tool-calling agent tasks. No agentic RL, no task-specific tuning. Gains across 7 benchmarks, including 3 entirely out-of-domain: - In-domain: Terminal-Bench 2.0 +6.3, SWE-Bench +3.4, WideSearch +12.8 - Out-of-domain: Claw-Eval +11.3, QwenClawBench +9.7, BFCL v4 +9.0 World modeling internalizes "predict before you act" as a transferable reasoning pattern.
Source: Qwen (X) | 2026-06-24