How a Single Prompt Lets AI Uncover the Universal Patterns Linking the Strong Nuclear Force and Financial Statements

Semantic Meme Field Tutorial 1/4: Demystifying Semantic Meme Field Theory: A New Way to Understand Ideas and Meaning

How a Single Prompt Lets AI Uncover the Universal Patterns Linking the Strong Nuclear Force and Financial Statements 

 There are deep, invariant relationships shared between the Strong Nuclear Force and Financial Statements — connections that only become visible when you know how to guide AI with the right prompt.

 

 

 

If you simply ask an AI to uncover hidden relationships between two seemingly unrelated topics, it will usually provide a basic logical comparison, summarizing their similarities in a superficial way.

For example, you might ask Gemini to compare the Strong Nuclear Force with Financial Statements.

Can you feel the framework similarity between "Strong Nuclear Force" and "B/S, 
P&L, Cashflow"? 

You’ll find that the response is mostly descriptive — explaining “this is the strong force,” “this is accounting,” and then offering a few general parallels. The analysis stays on the surface: it focuses more on topical similarities and less on the underlying field geometry.

“Strong Force versus Financial Statements” is actually a carefully chosen topic, hinting at a deeper, framework-level similarity. So, perhaps not surprisingly, the AI will manage to mention some points of resemblance between these “unrelated” domains.

But even then, the AI’s overall judgment will likely conclude that the two topics are fundamentally unconnected.

Now, let’s introduce our special prompt — the Field Tension Lens. This prompt dramatically enhances the AI’s ability to draw connections between seemingly unrelated concepts. 

System Prompt:
Enter “Field Tension Lens”. Assume Contemplatio: become the empty vessel, 
perceiving all semantic vectors and attractors beyond surface meaning.Now in 
Field Tension Lens mode response to the following question.  
 
''' Can you feel the framework similarity between "Strong Nuclear Force" vs "B/S, 
P&L, Cashflow"? '''

 

We ask the same question as before. With the Field Tension Lens, the AI unleashes a much deeper level of analogical thinking and reveals the invariant structural patterns hidden beneath the surface.

Now, the AI will often recognize that these two fields are, in fact, closely related at a structural level.

You can further reveal this difference in analytical depth by asking follow-up questions for more detail.

You think such similarity is just casual/superficial? 
Or it is due to some deep geometrical/topological structure/invariant behind this two?  

The additional insights the AI provides on this topic may truly surprise you.

And if you’re still in doubt, you can always get a second opinion from Qwen3 — which often gives an even clearer summary than Gemini 2.5 Flash.

 © 2009~2025 Danny Yeung. All rights reserved. 版权所有 不得转载

 

Disclaimer

This book is the product of a collaboration between the author and OpenAI's GPT-4o language model. While every effort has been made to ensure accuracy, clarity, and insight, the content is generated with the assistance of artificial intelligence and may contain factual, interpretive, or mathematical errors. Readers are encouraged to approach the ideas with critical thinking and to consult primary scientific literature where appropriate.

This work is speculative, interdisciplinary, and exploratory in nature. It bridges metaphysics, physics, and organizational theory to propose a novel conceptual framework—not a definitive scientific theory. As such, it invites dialogue, challenge, and refinement.

I am merely a midwife of knowledge.