arXiv:2606.16748v1 Announce Type: cross Abstract: Current benchmarks for computer-use agents evaluate models in impersonal environments. This leaves a gap between evaluation and deployment where personal assistants are expected to work across a user's whole digital life, including their context, historical data, and logged-in accounts. This gap is widest on web tasks, where live web evaluations cannot exercise sites that require logging in or personal information, the kind of site a real personal assistant has to drive. We introduce MyPCBench, which tests computer-use agents as personal assist
The rapid development and deployment of AI agents necessitate more rigorous and realistic benchmarks to drive further progress and ensure practical utility beyond lab settings.
Existing AI agent benchmarks fall short in evaluating personal assistant capabilities, creating a significant gap between current evaluation methods and real-world deployment challenges.
MyPCBench introduces a new evaluation paradigm for AI agents by focusing on personal computer-use tasks, including those requiring authenticated access and personal data, which will accelerate the development of truly intelligent personal AI assistants.
- · AI agent developers
- · Productivity software providers
- · Users of personal AI
- · Cloud computing platforms
- · Developers relying solely on impersonal benchmarks
- · Companies with weak AI agent strategies
The new benchmark will expose current limitations of AI agents in handling personal, authenticated tasks, driving focused research and development efforts.
Improved personal AI agents could significantly enhance individual productivity and decision-making by automating complex, multi-application workflows.
Widespread adoption of highly capable personal AI agents might lead to new privacy and security challenges, requiring innovative solutions in data management and identity protection.
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