Shibo Jin, Zhiqiu Xu, Yiling Zou, Shangyu Gong, Mayur Naik · 2026 · arXiv
DOI: 10.48550/arXiv.2610.30116 · open-access PDF
من خلال سلسلة من التفاعلات في العالم الحقيقي ، من قنوات التدريب المبتكرة إلى البيانات المشتركة على الشبكة المفتوحة ، تستهلك LLMs الحدود ما تم إنشاؤه من قبل أولئك السابقين والمنافسين. كيف تلعب كل نموذج دورها في هذا البيئة ، كخادم وكحل؟ نحن نقدم التفاعلات البيئية ، وهي نقطة قياس فعالة تقييم كل من القدرات على البيئات التفاعلية.
Machine translation (Meta M2M100); the English original follows.
Through a tangle of real-world interactions, from synthetic training pipelines to data shared on the open web, frontier LLMs absorb what their predecessors and competitors create. How well does each model play its role in this ecosystem, as a creator and as a solver? We introduce Environment Duels, a dynamic agentic benchmark that evaluates both capabilities on interactive environments. Each model writes environments, each with a privileged hint, aiming for tasks that capable solvers fail without the hint and pass with it. Across nine frontier LLMs, solving and authoring prove to be distinct s
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