Anthropic has launched a research preview of its Model Hardware Standard (MHS), a shared specification designed to let AI agents safely control lab instruments and factory equipment. The company claims MHS reduces the time required to integrate complex machinery with AI from months down to hours or minutes. The standard is currently available to select research labs and manufacturers via a waitlist, but Anthropic plans to open-source it in the future.
Much like how Anthropic’s Model Context Protocol (MCP) standardized software connections, MHS serves as a universal translator for physical hardware. Instead of requiring bespoke software for every instrument, it lets devices communicate through standardized commands and auto-generated reference files that detail operational parameters and safety limits.
The system is model-agnostic and works with any hardware that features a programmable interface. Early real-world trials demonstrate significant efficiency gains across various research settings:
Despite these early successes, the preview has highlighted key operational constraints. In one instance at Genentech, Claude repeatedly attempted to clear fluid-handling bubbles by retrying the same software command, requiring human intervention to clarify that the issue was physical rather than code-based. Additionally, because AI models process physical environments primarily through text logs and images, spatial reasoning still requires expert human oversight.
Anthropic is working with hardware partners, including Universal Robots, Tecan, and AWS, to expand MHS support. Integrations are also extending toward consumer-adjacent platforms, with Hugging Face planning support for its LeRobot project and Raspberry Pi testing driver compatibility. Anthropic has not yet announced a firm open-source release date, public schema, or specific governance model for the standard.
Speech-to-text apps have flooded the App Store, making it easier than ever to type on our Macs with just our voice. I have previously covered one such app called TypeWhisper. However, there has been a dearth of good text-to-speech models, and most of the good ones are locked behind a subscription.
Ollama, an open-source app that lets you run local AI models on your computer, wants to change that. It works on macOS, Windows, and Linux, and your prompts are never stored or used for training.
Did you think hitting delete on your AI chatbot conversation actually makes it disappear? Georgia Tech researchers just proved that's not entirely true. They have built a forensic tool called ORISA that can dig deleted conversations from your phone and even rebuild them into a working chatbot session you can keep talking to.
How can ORISA bring deleted AI conversations back?
Touchscreen laptops have been around for years. You can get them in all sizes and shapes. Just not from Apple. For years, the Cupertino giant has treated the idea of a touchscreen MacBook the way I treat a meeting that could have been an email: with open contempt. However, Wednesday looks like the day the company could finally change its mind.
The latest Apple invite puts the “Pro and Tell” showcase in Los Angeles at 10 a.m. PT (1 p.m. ET) on October 28, 2026. Instead of a regular live-streamed keynote, it is an invitation-only, hands-on event for a handful of press and creators (similar to what the company did for the MacBook Neo earlier this year).