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OpenCUA’s open source computer-use agents rival proprietary models from OpenAI and Anthropic
The open source framework provides the data and training recipe for building powerful computer-use agents that challenge proprietary systems.
Existing open source datasets for graphical user interfaces (GUIs) have limited data, and many research projects provide insufficient detail about their methods, making it difficult for others to replicate their work. The tool streamlines data collection by running in the background on an annotator’s personal computer, capturing screen videos, mouse and keyboard inputs, and the underlying accessibility tree, which provides structured information about on-screen elements. “The biggest challenge in real deployment is safety and reliability: the agent must avoid mistakes that could inadvertently alter system settings or trigger harmful side effects beyond the intended task,” he said.
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