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Cognivirus.com studies a specific shift in AI risk: modern systems are no longer just one model. They are made from many parts, and the behavior comes from how those parts work together.
Choose your path
- I am not technical: Read the plain-English guide. Start here if you want the basic idea without AI engineering terms.
- I make product or policy decisions: Read the problem guide. Start here if you need risk, accountability, consent, and governance.
- I build or evaluate AI systems: Read the technical research. Start here if you need model-ecology, composition-risk, and assuranceConfidence, backed by evidence, that a system meets safety or governance requirements. Open glossary definition details.
The one-minute version
Modern AI systems are made from models, prompts, memory, tools, adapters, evaluators, routing rules, datasets, and update processes. Each part can look acceptable alone. The whole system can still behave in unexpected ways.
A cognivirusA behavior pattern that can survive, move, or reappear across a changing AI system. Open glossary definition is a proposed metaphor for a behavior patternA repeated way the AI system responds or decides. Open glossary definition that can survive, move, or reappear across such a changing system. It is not a biological claim and not a literal malware claim.
Recommended path
- Read AI Risk in Plain English.
- Read The AI Safety Problem.
- Review Simple Examples.
- Read Why Consent Matters.
- Move into Technical Research.
Why local and decentralized AI matter
A local model may keep data off a cloud server, but it still has a system boundary. The model may read local memory, use adapters, call tools, route work to specialist models, write logs, produce synthetic examples, or preserve user-specific patterns. Review the whole ecology, not the model file alone.
Start with the Decentralized Persistence surface, then use the Decentralized Persistence Review when a system runs on workstations, browsers, private servers, edge devices, or portable agent handoff packets.
The evidence ladder
Some claims are shown in real systems. Some are shown in experiments. Some are reasoned warnings about where architecture is heading. Each major claim should say which type it is.
Frequently asked questions
Is Cognivirus describing literal malware?
No. Cognivirus is a metaphor for behavior persistence across changing AI systems.
Does this mean small models are more dangerous than large models?
No. The issue is not size alone. The issue is composition, update paths, memory, routing, evaluatorA system that judges whether an AI output or candidate is acceptable. Open glossary definition dependence, and governance.
Can a behavior survive deletion of a model?
Yes, plausibly. It may survive in memory, examples, prompts, adapters, synthetic data, evaluator preferences, routing rules, or descendants.
Does the site provide attack instructions?
No. The site is a public research and architecture reference. It avoids operational replication guidance, exploit code, and backdoor construction instructions.