冲浪者2：跨平台计算机使用代理的新一代

摘要

构建能够跨网页、桌面和移动环境泛化的智能体仍是一个开放挑战，因为现有系统依赖特定环境接口，限制了跨平台部署能力。我们推出Surfer 2——一个纯粹基于视觉观察的统一架构，在三大环境中均实现最先进性能。该系统融合了分层上下文管理、解耦的规划与执行机制，以及具备自适应恢复能力的自我验证功能，从而在长周期任务中实现可靠操作。我们的系统在WebVoyager上达到97.1%准确率，WebArena达69.6%，OSWorld达60.1%，AndroidWorld达87.1%，无需任务特定微调即超越所有现有系统。通过多轮尝试，Surfer 2在所有基准测试中均超越人类表现。这些成果证明：系统化编排能放大基础模型能力，仅通过视觉交互即可实现通用计算机控制，同时呼吁开发新一代视觉语言模型以实现帕累托最优的成本效益。

English

Building agents that generalize across web, desktop, and mobile environments remains an open challenge, as prior systems rely on environment-specific interfaces that limit cross-platform deployment. We introduce Surfer 2, a unified architecture operating purely from visual observations that achieves state-of-the-art performance across all three environments. Surfer 2 integrates hierarchical context management, decoupled planning and execution, and self-verification with adaptive recovery, enabling reliable operation over long task horizons. Our system achieves 97.1% accuracy on WebVoyager, 69.6% on WebArena, 60.1% on OSWorld, and 87.1% on AndroidWorld, outperforming all prior systems without task-specific fine-tuning. With multiple attempts, Surfer 2 exceeds human performance on all benchmarks. These results demonstrate that systematic orchestration amplifies foundation model capabilities and enables general-purpose computer control through visual interaction alone, while calling for a next-generation vision language model to achieve Pareto-optimal cost-efficiency.

冲浪者2：跨平台计算机使用代理的新一代

Surfer 2: The Next Generation of Cross-Platform Computer Use Agents

摘要

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