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

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AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:For all the interest in and uptake of agentic AI systems over the past year or so, the world of automated AI has thus far been primarily limited to text, images, code, and other data and actions that take place inside a…

来源Hacker News AI作者: geoffbp
待翻译:Anthropic's new hardware standard lets AI agents control the physical world
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AI 服务暂时不可用,以下为来源正文,待恢复后补全翻译。

For all the interest in and uptake of agentic AI systems over the past year or so, the world of automated AI has thus far been primarily limited to text, images, code, and other data and actions that take place inside a computer. Anthropic is now aiming to change that somewhat with what it’s calling the Model Hardware Standard (MHS), a set of standardized drivers designed to let AI agents easily interface with and control arbitrary devices. For now, the “research preview” of the MHS effort is being sold mainly as a way to help scientists streamline the arduous process of creating the custom software integrations that are often needed to get disparate components of an experiment working in concert. MHS can provide a common interface and common format for data sharing between these devices, Anthropic says, allowing them to talk to each other across a network “without needing a bespoke ‘translator’ program in between.” The standardized system could reduce weeks or months of exacting experimental setup down to “hours or minutes,” Anthropic writes. An Anthropic graphic illustrating how MHS serves as a “translation” layer between AI agents and multiple types of devices. Credit: Anthropic

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  • AI 服务暂时不可用,系统已先保留来源内容与降级元数据。
  • For all the interest in and uptake of agentic AI systems over the past year or so, the world of automated AI has thus far been primarily limited to text, images, code, and other d…

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