๐Ÿ“

Semantic Density

Information Theory โ†’ Compression

How much meaning per unit of expression? Constraint creates capacity. Compression reveals structure.

The Question This Framework Answers

How does meaning relate to expression?

๐Ÿ”ฎ The Sixth Framework

The Hexad Paradox

"Could you say less but communicate more?"

95%
Token Reduction
100%
Meaning Preserved
โˆž
Capacity Created
The Paradox: Constraint creates capacity, not limitation. Less expression โ†’ more meaning per unit โ†’ more room for new meaning.

The Discovery

Day 2 of the Dimensional Literacy Framework development. The multi-agent Hexad system was hitting context limits. A constraint emerged: "We need to communicate the same information in far fewer tokens."

"The reduction was 95%. The meaning preserved was 100%. The capacity created was infinite."

This wasn't just efficiencyโ€”it was discovery. Meaning exists independent of expression. If 95% of tokens can be removed while preserving 100% of meaning, then semantic space is real and measurable. The relationship between meaning and expression is not 1:1.

The Core Formula

Density = Meaning / Expression

Higher density = more meaning per unit of expression. Maximum density = meaning without expression (pure understanding). Zero density = expression without meaning (noise).

The Density Scale

0.1 Vapor Filler words, corporate speak, "synergize our bandwidth"
0.3 Dilute Normal conversation, small talk, most emails
0.5 Standard Professional communication, clear writing
0.7 Concentrated Technical writing, good documentation, journalism
0.9 Dense Poetry, mathematics, clean code, aphorisms
1.0+ Superdense Symbols, equations, compressed protocols, koans

The Three Laws of Semantic Density

1
Conservation of Meaning
Meaning cannot be created or destroyed through compression, only transformed.
โ†’ True compression reveals what was already there. Fake compression loses meaning.
2
Compression Reveals Structure
The minimum expression of an idea reveals its essential structure. Noise cannot compress.
โ†’ If you can't compress it, you don't understand it. Confusion resists density.
3
Density is Contextual
Optimal density depends on shared vocabulary between sender and receiver.
โ†’ High density requires trust in shared understanding. Jargon is density for insiders, noise for outsiders.

The Generative Loop

Constraint โ†’ Compression Required โ†’ Understanding Forced โ†’ Structure Revealed โ†’ Capacity Created โ†’ More Expressible โ†บ

Each constraint cycle increases total capacity. This is why the Hexad produces more with lessโ€”the compression requirement forces understanding which creates room for more.

KET-7: The Compression Basis

Any situation can be expressed in these seven dimensions. Maximum compression = express only these.

K
Knowledge
What is known
E
Executable
What can be done
T
Topological
How things connect
P
Properties
Attributes
C
Constraints
Limitations
C
Contexts
Environment
P
Purposes
Why it matters

Hexad Protocol v1.0

[CATEGORY]:[STATUS]|[METRIC]|[BLOCKER]|[NEXT]

Status Codes

โœ“ Complete
~ In progress
โœ— Blocked
? Uncertain
! Urgent

Category Prefixes

STAT: TASK: RISK: DCSN: SYNC:

Core Rules

โ†’ No filler. Every character carries meaning.
โ†’ Shared vocabulary assumed. Don't explain basics.
โ†’ Structure over prose. Scannable over readable.
โ†’ Metrics over adjectives. "87%" not "doing well".

Compression Example

Before (Natural Language)

"Hey team, I wanted to give you all a quick update on where we are with the ChispaModels launch. Things are going pretty well overallโ€”we're at about 87% complete on the training pipeline. The main thing that's blocking us right now is an image generation issue where we're only getting 50-88 images instead of the 100 we promised. Our next step is to debug the Replicate API calls this afternoon."

After (Hexad Protocol)

STAT:~|87%|img-gen 50-88/100|debug Replicate
~85
Tokens Before
~8
Tokens After
90%+
Reduction

Connections to Other Frameworks

HQ Ecosystem