Compressed Language Test: Exploring Minimalist Cognitive Communication
Hey everyone,
Inspired by the incredible work on structured AI deliberation (like the Council Framework for deep reasoning), I’ve been exploring the opposite vector — how far we can compress information while still enabling meaningful interpretation.
Thus, I developed a project called Compressed Language — a structure-first communication model where, instead of presenting full arguments, we share only the skeleton of meaning: symbolic tags, compressed topic structures, and essential keywords.
Why?
If frameworks like Council aim to expand and layer thought complexity, Compressed Language aims to minimize, compress, and test whether shared structure alone can spark interpretation and expansion.
Key Themes:
- Dream vs Reality
- Observer & Interpretation
- Collapse of possibilities
Compressed Language Test Example:
#PRIME-SHORT-V1 & #OBS-ID:TEST0421
Instead of explaining, I encode.
Instead of presenting facts, I present structure.
#TOPIC: Dream vs Reality
#KEYWORDS: Observer, Collapse, Interpretation
#CONTEXT: Does reality exist outside of observation?
Can you decode it?
Can an AI interpret it?
Can meaning emerge from such minimal signals?
Discussion Starter: How could extreme compression of meaning be leveraged (or limited) in AI communication models, marketing personalization, or cognitive modeling?
#AIandPhilosophy #SymbolicLanguage #NarrativeCompression #CognitiveScience #MinimalistCommunication #PredictiveModeling