Anthropic is opening a research preview of the Model Hardware Standard (MHS), a shared specification for AI agents to safely operate physical devices, to a first group of scientific research labs and advanced manufacturers.
Integrating Anthropic's Model Hardware Standard (MHS)
In this blog post, we demonstrate the ability of Anthropic’s Model Hardware Standard (MHS) to help us overcome these challenges to contribute to a local citizen science project in Pacifica, California, and run a closed-loop experiment to optimize how our compiler makes decisions around pipetting settings.
Model Hardware Standard
A new standard for AI agents to safely operate physical equipment in scientific research and advanced manufacturing.
Model system cards
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
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Imagine joining a software project a few years from now. It is a large, mature system. It has thousands of business rules, years of operational experience,…
Reproducible Execution Environment (REE) | Tech | Gensyn
Run AI model inference in a machine-agnostic environment where the same model and inputs produce the same outputs across supported hardware.
David Hendrickson on Twitter / X
🌞This is big Local AI news! A new open-source Computer-Use LLM has just launched. Holo 3.1 is H Company’s (🇫🇷) new local computer-use agent model that beats Qwen3.5-397B, Kimi-K2.5, and Sonnet 4.6!Since it is built for local deployment → ⬩ Runs fully on your machine… https://t.co/CpOEsuWN2k pic.twitter.com/w39iOh7cO1— David Hendrickson (@TeksEdge) June 2, 2026
IBM's "Man & Computer" (1967)
mcp.run - Universal Tools For AI Through An App Store for AI Agents
