July 6, 2025

Category - Large Language Models

Tetrad Analysis of LLMs in Intelligent Interaction

To explore the new cul­tur­al envi­ron­ment cre­at­ed by intel­li­gent inter­ac­tion with LLMs, we can use Mar­shall McLuhan’s Tetrad of Media Effects. This ana­lyt­i­cal tool eval­u­ates a medi­um’s cul­tur­al and soci­etal effects through four...

A Semantic Distillation Framework for Aligned AI Responses

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...

LPM-CAM Prompt Engineering for Communicating with Language Models

At a deep lev­el, every­thing we see and feel as “phys­i­cal” is actu­al­ly made up of ener­gy pat­terns instead of sol­id stuff. These ener­gy pat­terns exist in space and time (spa­tiotem­po­ral), and they take on shapes or forms. These shapes, in...

Exploring the Cognitive Architecture of LLMs using Classical Elements

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 Power of Resonance in Prompt Engineering

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...

The Digital Thought Leadership Framework (DTLF)

The Dig­i­tal Thought Lead­er­ship Frame­work (DTLF) is struc­tured to sup­port a com­pre­hen­sive jour­ney toward estab­lish­ing thought lead­er­ship by focus­ing on three key pil­lars: Per­son­al Brand­ing, Dig­i­tal Inno­va­tion, and Strate­gic...