VNZT

Knowledge Framework

A space for structured knowledge that can be read by humans and AI systems.

What VNZT is

VNZT is a platform created for storing, structuring and developing research models that can be understood by both human readers and artificial intelligence systems.

VNZT does not replace scientific verification and does not declare the model a finished theory. Its task is to keep together human explanation, research honesty, machine-readable structure and version history.

The central idea is that knowledge should exist in several forms at once: human understanding through texts and research, machine-readable structure through data and models, and development history through versions.

Project files for readers and AI systems

TypeResearch Framework
Current modelIndivisible Time v1.1
AuthorYuriy Olegovich Gorlov
Scientific statusOpen research model requiring validation
AI contextView the AI content guide (llms.txt) · View the complete AI context (llms-full.txt)

First VNZT model

Indivisible Time v1.1 is the first model published in VNZT. Its author is Yuriy Olegovich Gorlov. Its central structure is 1 -> 2 -> 3 -> 0.

VNZT architecture

Human layerArticles, research pages and explanations
Research layerHypotheses, experiments and development roadmap
AI layerJSON, ontology and LLM-readable context

VNZT Background and Author