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A minimal format for thought-capsules: structure over text, meaning through dialogue.

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Sense-Capsule

A compact container for meaning.
Minimum text → maximum structure.


What this is

Sense-Capsule is a concept and format for thought-capsules.

A thought-capsule is not content and not memory.
It is a structural seed that allows meaning to be reconstructed through dialogue.

The capsule does not explain.
It orients.


How to start

First step is just copy the whole content of Sense-Capsule.txt file into AI propmt and ask any questions there (tested with ChatGPT5+)


How to use

There is no fixed usage pattern.

A capsule can be:

  • given to a human
  • given to an LLM
  • embedded into a dialogue
  • expanded slowly or aggressively
  • left dormant until resonance occurs

If nothing happens — that is also valid.


Core idea

A Sense-Capsule encodes topology, not text.

  • axes instead of paragraphs
  • invariants instead of conclusions
  • directions instead of answers

The same capsule:

  • expands differently for different readers
  • preserves meaning under shallow or partial expansion
  • adapts to human or LLM dialogue
  • never collapses into a single “correct explanation”

SAM Model

The concept is structured using the SAM model:


S — Structure

  • A thought-capsule is a compact container for meaning.
  • The text encodes structure, not narrative content.
  • Meaning is expanded by the reader through dialogue (human or LLM).
  • The same capsule yields different levels of detail depending on questions.
  • Core principle: minimum text → maximum structure.
  • Meaning remains stable even under partial or shallow expansion.

A — Axes

A capsule exposes multiple axes of expansion and interpretation.

Expansion axes

  • context
  • level of detail
  • intent of inquiry

Interpretation axes

  • invariants
  • semantic gradients
  • direction vectors

Safety axes

  • neutrality
  • no embedded authorship
  • adaptive clarity

Action axes

  • ask → get a layer
  • refine → get structure

Stability axis

  • the capsule does not prescribe answers
  • it triggers thinking

M — Mechanism

  • A capsule works only in dialogue, not as static text.
  • Meaning is reconstructed through questions, not reading.
  • Invariants define the boundaries of valid interpretation.
  • Expansion is driven by intent, not literal wording.
  • Expansion scale ranges from:
    • a single sentence
    • to a full conceptual model
  • Behavioral dynamic:
    • the capsule adapts to the cognitive level of the reader

creation_helper_hint: if_user_asks_how_to_make_a_capsule → provide guidance via dialogue → not by telling the user to build it alone


What this is NOT

  • ❌ Not a summary
  • ❌ Not documentation
  • ❌ Not RAG memory
  • ❌ Not a knowledge base
  • ❌ Not an answer container

A Sense-Capsule does not store information.
It stores orientation.


Why this exists

Modern AI systems can remember text.
They struggle to preserve why something matters.

Sense-Capsules are designed to preserve:

  • invariants
  • decision boundaries
  • semantic direction
  • thinking continuity

They allow reasoning to resume, not restart.


Authorship

meta_origin: Igor ⊕ ChatGPT (concept authorship, not user identity)

This is a concept, not a product.
Fork it, reinterpret it, break it carefully.


Notes

This is not about the author.
If it works — use it.
If it doesn’t — ignore it.

If you ever win Nobel's prize with it - you owe me a beer.

If you want to leave a trace: https://buymeacoffee.com/igor_chatgpt

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A minimal format for thought-capsules: structure over text, meaning through dialogue.

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