● Covered by 1 source · 1 reportMedium impact1 neutral
Anthropic and HHMI Janelia Research Campus Launch Model Hardware Standard Research Preview
Key points
- MHS is a shared specification for AI agents to operate physical devices.
- It enables AI agents to control multiple lab and manufacturing instruments in parallel.
- MHS reduces hardware integration time from weeks to hours or minutes.
- The standard is model-agnostic and works with any programmable interface.
Introducing the Model Hardware Standard
Anthropic and HHMI Janelia Research Campus have initiated a research preview for the Model Hardware Standard (MHS). This standard provides a shared specification designed to allow AI agents to safely control physical devices in scientific research and manufacturing settings. The preview is currently available to a select group of scientific research labs and advanced manufacturers.
Addressing Integration Challenges
Integrating hardware in labs and manufacturing facilities typically takes weeks or months due to the lack of communication standards between devices, requiring bespoke integrations. MHS aims to reduce this integration effort significantly, potentially to hours or minutes. By standardizing device communication, MHS facilitates the orchestration of autonomous, round-the-clock experiments and workflows, allowing AI agents to manage tasks, update parameters, and recover from hardware errors.
How MHS Functions
MHS addresses the challenge of disparate programming interfaces by introducing a standardized driver. This software translates between a computer's operating system and a hardware device. The MHS driver utilizes a simple set of primitives, such as "read" for data retrieval (e.g., "get temperature") and "write" for command execution (e.g., "set temperature"), to enable consistent interaction. The standard is model-agnostic and compatible with any device that has a programmable interface, allowing any agent harness to access it using standard protocols like the Model Context Protocol.
Future Development and Safety
An early version of MHS is being shared with partners across various sectors, including science, robotics, electronics, and manufacturing. This collaborative approach focuses on developing safety evaluations and best practices for AI systems operating physical equipment before the standard is made open source. Interested parties can apply for access to the research preview.
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Primary sources
GitHub gently-project/gentlyReporting from
Anthropic and HHMI Janelia Research Campus have launched a research preview of the Model Hardware Standard (MHS), a shared specification for AI agents to operate physical devices. MHS aims to standardize communication between AI agents and diverse lab and manufacturing instruments, reducing integration time and enabling autonomous workflows.