In AI, an attractor refers to a set of states or patterns toward which a system tends to evolve, regardless of its initial state, often used in the context of machine learning and dynamical systems. Attractors help describe the stable...
Author - John Deacon
His work integrates decades of cross-disciplinary experience - from instrumentation and automation to workflow engineering, systems dynamics, and strategic communication - into practical frameworks that scale personal and organizational clarity.
Grounded in the philosophy of Strategic Thought Leadership, John bridges technical infrastructure, human cognition, and brand architecture to help professionals and enterprises embed alignment into every layer of their operations - from message to system to market.
Discover how the Core Alignment Model (CAM) revolutionizes AI by seamlessly aligning systems with user needs and ethical standards. Explore its structured layers — Mission, Vision, Strategy, Tactics, and Conscious Awareness —...
The Objective Function framework is of practical value for LLM and AI engineering, as it addresses several persistent challenges in deploying adaptive, contextually aware, and ethically aligned AI systems. Here’s why the CAM...