The spec defines three standardized sizes (drone to surgical robot), a universal connector system (the Manufacturer Interface Module, or MIM) so any brain works with any robot body, and a hardware safety architecture where a dedicated safety processor on its own power rail physically controls whether the AI processors receive electricity.
That last part is the point. Every AI safety system I've seen is software watching software. This design puts a hardware kill switch between the AI and the power supply. The AI can't prevent its own shutdown -- it's the same Safe Torque Off principle that industrial motor controllers have used for decades, applied to AI compute for the first time.
The formal spec name is the Standardized Autonomous Safety Module (SASM). Think ATX for robot brains -- standardized form factor, universal connector, safety built into the hardware.
I built all of this working alongside AI, using an open-source context management system I created that gives AI assistants persistent memory across sessions. The tool I built to solve AI's memory problem became the tool that let me design a robot brain. Several of the patents describe the context management system itself.
Open-source tool: https://github.com/RobSB2/CxMS
Happy to answer questions about the hardware spec, the safety architecture, or the experience of filing 10 patents in four days as a solo inventor.