John is a researcher and practitioner committed to building aligned, authentic digital representations. Drawing from experience in digital design, systems thinking, and strategic development.Discover how the CAM Objective Function redefines AI optimization by aligning key elements like loss functions, world models, and ethical oversight. This structured, multi-layered approach improves LLM performance through...
Author - John Deacon
Discover how the Core Alignment Model (CAM) uses a Dynamic Attractor and Semantic Distillation to transform noisy LLM outputs into purpose-driven, ethically sound responses. By filtering through layered adaptive processes, CAM...
As the Semantic Distillation process moves through each layer, CAM progressively channels raw LLM output from a broad, often noisy initial state toward a refined, high-integrity response. Each layer’s unique role allows it to act as a...