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Category - Core Alignment Model
Reasonings about the Core Alignment Model (CAM) and it’s function and application in the world.
Positioning CAM as an attractor between LLMs and Users means establishing CAM as the dynamic center point towards which interactions between users and language models (LLMs) naturally converge. This attractor role enables CAM to...
At a base level, the CAM Objective Function can be represented programmatically as a structured class-based framework where each CAM layer—Mission, Vision, Strategy, Tactics, and Conscious Awareness—is encapsulated in...
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...
The Core Alignment Model (CAM) functions as an attractor between LLMs, the human mind, and the real-time environment, aligning outputs with user intent and adapting dynamically to changes in context. CAM operates as a semantic...
The principles of CAM (Core Alignment Model) align deeply with Tai Chi and its movements, as both are centered on balance, adaptability, and purposeful action within a coherent structure. Here’s how each CAM layer could reflect Tai...
Here we’re mapping other concepts to the CAM Framework with Eastern terms that sparked the idea in a recent Emmett Shear tweet: An agent is defined by its Buddhi, Manas, Ahankara and Chitta. By which I mean, its loss function, context...
Discover how the CAM Framework could set a new standard for AI systems with its unique blend of user alignment, ethical coherence, and real-time adaptability, paving the way for transformative, interactive AI solutions. What makes...
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...