Source Report — Threat Assessment: Autonomous Self-Replicating Modular Artificial Intelligence
This evidence page summarizes an uploaded report that informed the v1.8.0 content expansion. It is a source dossier, not an independently verified consensus source.
Claim
Second threat assessment focused on modular AI ecologies, algorithmic mitosis/meiosis, evaluator drift, and defense architecture.
Source and preservation
| Field | Value |
|---|---|
| Source type | Uploaded Markdown source report |
| Raw preservation path | docs/source-reports/raw-markdown/ai-self-replication-threat-assessment-part-2.md |
| Public-safe summary path | docs/source-report-summaries/ai-self-replication-threat-assessment-part-2.md |
| Date last reviewed in UTC | 2026-06-27T00:35:00Z |
| Evidence category | Architectural inference |
What the evidence does show
The report provides a structured conceptual treatment that can be used to expand Cognivirus.com terminology, risk maps, and control guidance.
What the evidence does not show
The report alone does not prove that every named scenario is current, universal, or independently replicated. Claims about specific incidents, attack success rates, or future timelines require primary-source review before being presented as demonstrated fact.
Site interpretation
This report contributes to the v1.8.0 expansion through public-safe concepts: transition graphs, adapter reproduction boundaries, persistence reservoirs, evaluator drift, execution-time control, and human-incentive safety boundaries.