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Anthropic Introduces Model Hardware Standard for AI Control of Physical Devices

Anthropic has launched the Model Hardware Standard (MHS), designed to enable AI agents to control physical devices. This new standard aims to streamline the integration of various experimental components, potentially reducing setup time significantly. The initiative was inspired by a neuroscience experiment at the HHMI Janelia Research Campus.

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Anthropic
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Alek Kemeny Arco Bast

<p>Anthropic has announced the Model Hardware Standard (MHS), a set of standardized drivers that enable AI agents to interface with and control various devices. This initiative aims to expand the capabilities of automated AI beyond text, images, and code, which have been the primary focus in recent years.</p><p>The MHS is currently in a research preview phase and is intended to assist scientists in simplifying the process of creating custom software integrations necessary for coordinating different components of experiments. According to Anthropic, the MHS allows devices to communicate across a network without requiring a specific 'translator' program, potentially reducing the time needed for experimental setups from weeks or months to hours or minutes.</p><p>In a video accompanying the announcement, Anthropic Technical Staffer Alek Kemeny explained that the MHS was inspired by neuroscientist Arco Bast's work on an experiment related to memory formation at the HHMI Janelia Research Campus in Ashburn, Virginia. Kemeny noted that Bast developed an interface to coordinate various experimental components, leading him to consider the potential for AI to run scientific experiments globally.</p>

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Anthropic's new hardware standard lets AI agents control the physical world

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Anthropic Introduces Model Hardware Standard for AI Control of Physical Devices