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Tag: #vlm-evaluation3 results

VLMs as Auditors for Computer-Use Agents

VLMs as Auditors for Computer-Use Agents

CUAAudit introduces Vision-Language Models (VLMs) as autonomous auditors for evaluating Computer-Use Agents (CUAs) via observable interactions. A meta-evaluation of five VLMs across three CUA benchmarks on macOS, Windows, and Linux reveals strong accuracy and calibration, but degradation in complex environments and significant inter-model disagreements.

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Cybersecurity Must Protect Physical Reality

As industrial systems, infrastructure, robots, and AI agents gain the ability to change physical conditions, cybersecurity must protect actions and outcomes—not only data and access. The article argues that future defenses need to evaluate whether an authorized action is appropriate for the current environment, state, and safety boundaries.