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author

Zhengyang (Jason) Qi

Research Scientist
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Snorkel AI

I am an aspiring AI researcher with a diverse range of experience in frontier AI research, large scalable machine learning systems, and applied analytics in social science. I believe in the interactionist approach to intelligence development, through granular feedbacks from grounded, open-ended environments, where robust rewards are essential to forge systems that learn, adapt, and evolve through interactions.

The latest from Jason

Cua-Bench: benchmarking computer-use agents on professional software
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Cua-Bench: benchmarking computer-use agents on professional software

TL;DR We built a benchmark of 25 expert-authored KiCad schematic-editing tasks and ran a frontier computer-use agent against them. The headline numbers: 1. Why build a computer-use benchmark for electrical engineering? Most computer-use benchmarks today live in the same handful of apps: web browsers, file managers, generic productivity suites. Those evaluations are useful, but they share a structural weakness —…

Learn more about Cua-Bench: benchmarking computer-use agents on professional software
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For models that need to be right. Not just good enough.