Anthropic Tests AI Agent Standard for Lab and Quantum Hardware Control

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Anthropic has launched a research preview of its Model Hardware Standard (MHS), designed to help AI agents operate physical laboratory and industrial equipment with built-in safety checks and human oversight. Early pilots were conducted at Genentech, HHMI Janelia Research Campus, and quantum computing firm QuEra, covering protein assay automation, microscopy orchestration, and laser control respectively. At Genentech, an AI agent coordinated a liquid handler, robotic arm, and plate reader to run a protein assay workflow with real-time error handling. HHMI Janelia used MHS to unify multiple vendors' microscopy software into a single layer, reportedly compressing a weeks-long imaging experiment into a single day. At QuEra, an AI agent achieved 99.3% laser relock recovery without human intervention, up from 58% in earlier testing, framing MHS as an operational tool rather than a full replacement for scientific judgment.

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