The CAM Objective Function provides a structured, adaptive approach for guiding language models and AI systems, addressing some of the most challenging problems in the industry—such as ethical alignment, contextual...
Author - John Deacon
John is a researcher and digitally independent practitioner focused on developing aligned cognitive extension technologies. His creative and technical work draws from industry experience across instrumentation, automation and workflow engineering, systems dynamics, and strategic communications design.
Rooted in the philosophy of Strategic Thought Leadership, John's work bridges technical systems, human cognition, and organizational design, helping individuals and enterprises structure clarity, alignment, and sustainable growth into every layer of their operations.
The Core Alignment Model (CAM) framework functions as a multi-layered objective function designed to align language models and AI systems with specific user intentions, ethical guidelines, and real-world context. CAM decomposes...
Here’s the revised matrix with AI and computer science terms integrated, providing a comprehensive alignment between CAMLO elements, cognitive aspects, traditional concepts, and AI functions like loss functions, context...