Mapping Buddhi, Manas, Ahankara, and Chitta to the Core Alignment Model (CAM) creates a comprehensive framework where the intellectual functions of an LLM align with the strategic elements of CAM. Here’s how each of these...
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.
When we map the classical elements of Buddhi, Manas, Ahankara, and Chitta to the functions of LLMs, we get a framework that captures core aspects of how these models process, refine, and generate language. Here’s an overview of each...
The concept of spatial modal multiplexing can be beautifully applied to prompt engineering, where each prompt is seen not just as a collection of words but as a finely attuned, multidimensional signal that carries both...