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 classical components...
Author - John Deacon
John is a researcher and practitioner committed to building aligned, authentic digital representations. Drawing from experience in digital design, systems thinking, and strategic development, John brings a unique ability to bridge technical precision with creative vision, solving complex challenges in situational dynamics with aims set at performance outcomes.
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 element in both...
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 informational content and...