Why macOS Is Underrepresented in Public AI Research Datasets
By Mariya Hirna, AI Research Manager at MacPaw
Last month the MacPaw Research team was at the DATA-FM Workshop within ICLR 2026 in Rio de Janeiro, where we presented our paper GUIrilla: A Scalable Framework for Automated Desktop UI Exploration. ICLR is one of the leading machine learning conferences in the world, and this was our first paper accepted there. I want to use this post to explain what we presented, why we think it matters now, and how other researchers and developers can use what we have released.
The short version of the argument is this. Over the past year, computer-use AI has moved from research demos into mainstream products. Major AI labs shipped computer-use products this spring, with explicit support for desktop control on macOS. Gartner predictsthat 40% of enterprise applications will embed task-specific AI agents by the end of 2026, up from less than 5%...
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