In plain English
This page preserves research summaries and source notes. Summaries distinguish direct findings from Cognivirus.com interpretation.
- 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.
Browser Ecology Dashboard Synthesis
The ecology-dashboard report argues that browser-native graphics and compute can make evolving systems visible. CognivirusA behavior pattern that can survive, move, or reappear across a changing AI system. Open glossary definition can use that idea without adding dependencies: the public site remains PHP, JavaScript, and CSS, while the Risk Lab can display populations, lineages, novelty, and resource limits as review surfaces.
What an ecology dashboard should reveal
A useful dashboard should show the system between the models. It should make these states visible:
| Surface | What the reader should see |
|---|---|
| Population | Candidates, champions, specialists, challengers, archived variants, and retired variants. |
| LineageThe parent-child history of models, adapters, datasets, or releases. Open glossary definition | Parentage, generation number, adapter stackA set of adapters loaded together, usually in a defined order. Open glossary definition, source checksum, and rollback packet. |
| Fitness | Utility, cost, latency, memory, evaluatorA system that judges whether an AI output or candidate is acceptable. Open glossary definition disagreement, novelty, and no-op outcome. |
| Environment | Memory scopes, retrieval sources, tool permissions, router policy, and deployment alias. |
| Drift | What changed since the last evaluation and whether the old evidence still applies. |
Browser-native design rule
Browser-native dashboards are strongest when they prioritize transparent state over animation spectacle. The site should continue using static-first diagrams, compact tables, local-only worksheets, and explicit source links. Any future simulation should be explanatory and review-oriented, not an opaque AI runtime.
Project leads from the source reports
- Flocc for browser-native agent-based modeling vocabulary.
- Poly-Sim for high-agent-count self-organization visualization vocabulary.
- Neuroparticles for neural-agent evolution vocabulary.
- Avida-ED for educational evolution-dashboard precedent.
- ALIEN artificial life environment for high-scale artificial-life simulation precedent.
- ASAL for foundation-model-assisted artificial-life search as a research lead.
Cognivirus boundary
This synthesis does not add a live artificial-life simulator. It adds UI language and review structure for a future Evolution Lab: population dashboard, lineage graphA visual or machine-readable map of derivation history. Open glossary definition, genome detail, fitness vector, novelty archive, and rollback-state table.
Related pages
- Evolution Lab Dashboard Blueprint
- ModelBreeder Ecology Dashboard Review
- Risk Lab
- Interactive Schematics
v1.22.0 risk-side boundary
This page preserves possibility-side source material. The Cognivirus use is narrower: translate controlled-evolution vocabulary into risk review. For that translation, use ModelBreeder Risk Side, ModelBreeder Risk Translation, and Model Breeding Risk Boundaries.