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The paper proposes Marathoner, an autonomous agentic model for ultra-long-horizon execution, using a comprehensive post-training pipeline with tasks synthesized from GitHub PRs and a novel reward strategy to achieve superior performance on benchmarks.
The article analyzes the language distribution in AI agent skills, finding that non-English skills are growing rapidly with Chinese leading, indicating a global shift in AI development beyond English-speaking regions.