Anthropic's new hardware standard lets AI agents control the physical world
Standardized driver interface aims to let devices talk to AI and each other.
Standardized driver interface aims to let devices talk to AI and each other.
The short version
- 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.
- Anthropic gave the example of a model like Claude adjusting a laser, checking the results via a separate camera, then repeating the process to automatically calibrate the whole system.
What happened
MHS could also allow an AI model to focus a microscope, analyze the results, decide what part needs more observation, then automatically move the microscope to the relevant section to continue the experiment. In a video, Anthropic also showed Claude reasoning how to get a robotic arm to pick up an aluminum can even though it had not been specifically trained on the required steps.
Why it matters
And rather than reasoning through each step each time, Anthropic says MHS-enabled models can sequence steps across instruments by writing API scripts and adjusting them as conditions require.
Summary by Nerd News Network. Read the full article at Ars Technica via the links above and below.