The Entropic Persistence Framework (EPF) is a six-layer architecture for building AI systems that persist without human caretakers. It ties entropy, energy flows, reliability, learning, embodiment, and governance into a measurable, engineering-ready model.

This 3D model represents a four-cylinder inline internal combustion engine, meticulously designed using SOLIDWORKS. The assembly consists of essential engine components, including the pistons, connecting rods, crankshaft, and flywheel, arranged to demonstrate the mechanical motion and functionality of a typical inline-four engine configuration.