Anthropic的MHS让AI操作物理设备从数月缩短到数小时，安全机制更可靠。
Anthropic发布了Model Hardware Standard(MHS)研究预览版，这是一个共享驱动规范，让AI代理能够发现并安全操作物理设备。通常需要数周或数月的仪器集成时间缩短至数小时，卡内基梅隆大学从原始设备到完成剂量反应曲线仅需8小时。QuEra的激光重锁在700次试验中从58%提升至99.3%。MHS与模型无关，可通过MCP访问，并在驱动程序而非提示中强制执行安全限制。
Anthropic Opens a Research Preview of the Model Hardware Standard (MHS): A Shared Specification for AI Agents to Safely Operate Physical Devices
Anthropic has opened a research preview of the Model Hardware Standard (MHS), a shared driver specification that lets AI agents discover and safely operate physical devices. Instrument integration that normally takes weeks or months drops to hours: Carnegie Mellon went from raw equipment to a finished dose-response curve in eight, and QuEra's laser relock improved from 58% to 99.3% across 700 trials. MHS is model-agnostic, reachable over MCP, and enforces safety limits in the driver rather than the prompt. The post Anthropic Opens a Research Preview of the Model Hardware Standard (MHS): A Shared Specification for AI Agents to Safely Operate Physical Devices appeared first on MarkTechPost .