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Hy3 outperforms similar-size models and rivals flagship open-source models that have 2-5x as many parameters.
Tencent Hy Team · Simon Willison's Weblog
OSWorld 2.0's creators find that even the strongest model setup only hits 20.6% binary accuracy on tasks averaging 1.6 hours of human effort, with agents struggling most on hidden-state recovery, tracking many items, and adapting to changing requirements. ✦ AI generated
OSWorld 2.0 researchers · Import AI · 2026-07-06 · original ↗
Our experiments show that current agents remain far from reliable computer use: the strongest setting, Claude Opus 4.8 with maximum thinking and batched tool calls, reaches only 20.6% binary accuracy and 54.8% partial-score accuracy. Performance drops sharply as tasks grow longer, and agents struggle most when they must recover hidden state, track many items, resolve conflicting information, or adapt to changing requirements.
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