@interlatent: Hardware is the bridge between AI and the physical world Atoms and bits must work together to create future systems emb…
Summary
A tweet discussing how hardware bridges AI and the physical world, and linking to a guide on physical intelligence.
View Cached Full Text
Cached at: 06/18/26, 10:21 PM
Hardware is the bridge between AI and the physical world
Atoms and bits must work together to create future systems embedded with physical intelligence
We wrote a guide for those curious about the atoms. https://t.co/KHNH3qjpLq
Similar Articles
Superhuman Hardware Design Is The Easy Part (18 minute read)
An a16z essay argues that while superhuman AI hardware engineers are imminent—evidenced by improving CAD/PCB benchmarks and GPT-6 Astra's 3D design demos—the lossy interface between bits and atoms means AI will still struggle to translate digital designs into working physical hardware.
On AI Hardware (7 minute read)
A venture capital firm's perspective on the current state and future direction of the AI hardware market.
@muskan_kalra24: This could be a huge unlock for robotics. The race to build the interface between AI and the physical world is getting …
Anthropic launches the first phase of the Model Hardware Standard (MHS), a new standard for AI agents to safely operate physical equipment in scientific research and manufacturing, advancing the integration of AI with the physical world.
Anthropic's new hardware standard lets AI agents control the physical world
Anthropic has introduced the Model Hardware Standard (MHS), a framework that allows AI agents to control physical hardware for automated experiments and robotic tasks, featuring safety constraints and planned open-source adoption.
@AnthropicAI: Connecting AI to hardware requires days or weeks of bespoke integration, with no standard way for agents to operate equ…
Anthropic introduces MHS, a tool that cuts AI-hardware integration time from days to minutes, enhances device discoverability, and enables safe agent operation.