# Qwen-CUA：用屏幕鼠标键盘训练通用电脑智能体

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-08-07 12:09
- AIHOT 分数：35
- AIHOT 链接：https://aihot.virxact.com/items/cmsifhdv01csjronk2j858egf
- 原文链接：https://x.com/rohanpaul_ai/status/2085578932368109935

## AI 摘要

Qwen-CUA 证明仅凭人类使用的屏幕、鼠标和键盘即可训练出强大的电脑智能体，将截图作为 AI 的通用界面。训练动用近 10 万虚拟处理器核心和约 4 万个可检查任务，智能体仅通过截图和鼠标键盘操作，无需网站代码或辅助标签。其在 OSWorld-Verified 基准上得分 86.2，但长时程任务仍存在较大差距。

## 正文

Qwen-CUA shows that a strong computer agent can be trained using only the same screen, mouse, and keyboard humans use.

The big idea is that screenshots can become a universal interface for AI, letting 1 agent work across many different applications.

Training had access to nearly 100,000 virtual processor cores and about 40,000 checkable tasks across many software environments.

That challenge is hard because errors build across long tasks, while useful feedback often arrives only after completion.

The agent sees ordinary screenshots and acts through mouse clicks and keystrokes, without website code, accessibility labels, or task-specific tools.

It keeps 20 recent screenshots visible, folds older images away, and preserves earlier actions so lengthy work remains manageable.

Each task rewards the final software state, allowing different valid action paths, while long attempts are split into manageable training pieces.

On OSWorld-Verified, it reached 86.2, while harder long-horizon tests still showed a wide gap between partial progress and full completion.

The work suggests that reliable computer agents need massive interactive practice, memory for visual history, and tools that check real results.

- arxiv. org/abs/2608.02352

Title: "Qwen-CUA: Native Computer Use for (almost) Everything"