In plain English
This page is reference material: definitions, schemas, catalogs, templates, and implementation records.
- Why this matters: AI risk can come from the whole arrangement, not one obvious model.
- What to look for: data, memory, routes, adapters, tools, evaluators, updates, and rollback paths.
- Technical version below: the expert terminology remains available and is linked through the glossary.
Animated Transition Graphs
These visuals explain the transition-graph thesis without adding operational instructions. They show how a model ecologyA changing AI system made from many connected parts, not just one model. Open glossary definition can change out an active model, duplicate a governed model-and-adapter assembly, and branch across generations while preserving evidence, policy controls, and rollback boundaries.
Each visual is static first. The matching poster image appears immediately. The video loads quietly in the background, plays once when ready and visible, and then returns to the static image. Visitors with reduced-motion preferences keep the static image.
Watch the transition graph move
The videos are poster-first: each matching image appears immediately, the MP4 loads in the background, plays once, and returns to the still frame. Use these thumbnails to open the full animated schematics.
open pagegoverned replacementChange-out and new model creation How an active model is evaluated, branched, gated, replaced, retired, and checked for residue.Open graph page · Open image/video page →
open pagecontrolled splitMitosis-like reproduction How a governed parent model-and-adapter assembly can be split into two daughter lineages under checks.Open graph page · Open image/video page →
open pagebehavior persistsRecursive mitosis-like branching How behavior can remain expressible across generations while carriers, routes, and scores change.Open graph page · Open image/video page →No animation is required to understand the site. Static posters, captions, and text equivalents remain the canonical content. Open the animated graph index.
Dedicated pages: Change-out · Mitosis-like reproduction · Recursive branching
Change-out and new model creation
This compact card links to the full liquid image/video page. The schematic shows a governed replacement path: active model, evaluation, adapter attachment, candidate generationCreating a proposed new model, adapter, prompt, route, test, or policy. Open glossary definition, branch comparison, evaluator gate, promotion, retirement, router state, registry, checkpoints, audit trail, and behavioral residue.
Mitosis-like reproduction
This compact card links to the full liquid image/video page. The schematic uses mitosis only as a metaphor for controlled duplication. The safety point is not that AI is biological. The point is that duplication of model-adapter assemblies needs checkpoints, signed lineages, independent evaluation, rollbackReturning a system to an earlier known state. Open glossary definition, and post-split governance.
Recursive mitosis-like branching
This compact card links to the full liquid image/video page. The schematic emphasizes the most important CognivirusA behavior pattern that can survive, move, or reappear across a changing AI system. Open glossary definition concern: behavior can persist while carriers change. Adapters, prompts, memory, synthetic data, router exposure, evaluator scores, and descendant lineages can keep a pattern expressible after the first carrier disappears.
Implementation boundary
The animations are explanatory media. They are not live telemetry, not a model runner, not an autonomous-agent tool, and not a guide to creating self-replicating systems. The same content remains available as static posters and text for accessibility.