# Cautionary AI Threat Analysis: Key Cognivirus‑Related Hazards

## Public-safe source report summary

This uploaded source report is preserved as durable project evidence for Cognivirus.com. It contributes concepts to the v1.15.0 danger-model expansion: Metaphor boundary, self-reinforcing patterns, distributed persistence.

## Evidence handling

This is treated as a **source dossier**, not as independently verified empirical consensus. Public pages may use it after applying the site evidence ladder, metaphor boundaries, and non-operational safety policy. It must not be used to claim that AI systems are conscious, literal biological viruses, or inevitably catastrophic.

## Concepts extracted for the site

- The unsafe unit may be a transition graph rather than one model artifact.
- Local component approval does not prove runtime-composition safety.
- Evidence should name the exact carrier, route, memory state, evaluator, tool profile, and promotion rule involved.
- Observable outcomes need replayable traces rather than trust language.
- Retirement, rollback, and behavioral-extinction reviews must include data, memory, synthetic examples, descendants, aliases, and human workflows.

## Source orientation

Cautionary AI Threat Analysis: Key Cognivirus‑Related Hazards Executive Summary: The Cognivirus framework highlights novel AI-system risks arising from complex, changing model ecosystems. Even when individual components appear benign, their composition, training pipelines, and governance can harbor hidden dangers. We identify several “dangerous ideas” drawn from Cognivirus’s research: (1) Distributed Behavioral Persistence (the “cognivirus” metaphor) , (2) Compositional/Emergent Risk , (3) Evolutionary Pipeline Dynamics , (4) Synthetic‑Data Feedback Loops & Model Collapse , (5) Metric/Reward‑Hacking Loopholes , (6) Algorithmic Monoculture/Div

## Site interpretation

The report is used to deepen public and technical explanations of distributed behavioral persistence, synthetic-feedback risk, action-layer controls, observability, lineage, diversity, promotion pressure, and retirement failure. It does not authorize exploit instructions, self-replication recipes, credential workflows, or backdoor construction guidance.