Skills Symmetries: Physics-Inspired Knowledge Retention

Greg Twemlow's article introduces "Skills Symmetries©," a method for capturing and retaining expert knowledge inspired by physics. The article explains how the concept arose from a chat with ChatGPT, evolving from high-performance interviews to applying Noether's Theorem. Skills Symmetries© identifies repeatable behaviours in high performers, visualised by the Oloid shape, to create a predictable knowledge transfer system. The aim is to conserve organisational expertise, turning tacit knowledge into explicit, transferable skills. The article suggests this concept could revolutionise how organisations approach knowledge management and skills development, with potential applications across various industries. Twemlow also explores the mathematical implications of Skills Symmetries© and its relation to group theory. Read the full article on Medium.About the Author - Greg Twemlow writes and teaches at the intersection of technology, education, and human judgment. He works with educators and businesses to make AI explainable and assessable in classrooms and boardrooms — to ensure AI users show their process and own their decisions. His cognition protocol, the Context & Critique Rule™, is built on a three-step process: Evidence → Cognition → Discernment — a bridge from what’s scattered to what’s chosen. Context & Critique → Accountable AI™. © 2025 Greg Twemlow. “Context & Critique → Accountable AI” and “Context & Critique Rule” are unregistered trademarks (™).