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"