You can't solve computer use by ignoring the interface
The article argues that current AI agents struggle with real-world computer tasks because they are trained on simplified, static benchmarks rather than messy, real-world interfaces. It suggests that the industry's focus on larger models is a dead end and that better interface interaction is the true bottleneck.
Right now, agentic computer use is one of the biggest levers for real-world AI impact. LLM-based agents are transforming software development, but most intellectual work is gated behind using software. When coding agents are so good, it is natural to ask: can they file my taxes in a government portal, fix a text document, test a website?
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