Risk Activation Timeline Model
risk-activation-timelineanalysisPath: /knowledge-base/models/risk-activation-timeline/
E255Entity ID (EID)
Page Recorddatabase.json — merged from MDX frontmatter + Entity YAML + computed metrics at build time
{
"id": "risk-activation-timeline",
"numericId": null,
"path": "/knowledge-base/models/risk-activation-timeline/",
"filePath": "knowledge-base/models/risk-activation-timeline.mdx",
"title": "Risk Activation Timeline Model",
"quality": 66,
"readerImportance": 54,
"researchImportance": 78.5,
"tacticalValue": null,
"contentFormat": "article",
"tractability": null,
"neglectedness": null,
"uncertainty": null,
"causalLevel": null,
"lastUpdated": "2026-03-13",
"dateCreated": "2026-02-15",
"llmSummary": "Comprehensive framework mapping AI risk activation windows with specific probability assessments: current risks already active (disinformation 95%+, spear phishing active), near-term critical window 2025-2027 (bioweapons 50% by 2027, cyberweapons 75%), long-term existential risks 2030-2050+ (ASI misalignment 15% by 2030). Recommends \\$3-5B annual investment in Tier 1 interventions with specific allocations: \\$200-400M bioweapons screening, \\$300-600M interpretability, \\$500M-1B cyber-defense.",
"description": "A systematic framework mapping when different AI risks become critical based on capability thresholds, deployment contexts, and barrier erosion. Maps current active risks, near-term activation windows (2025-2027), and long-term existential risks, with specific probability assessments and intervention windows.",
"ratings": {
"focus": 8.5,
"novelty": 6,
"rigor": 6.5,
"completeness": 8,
"concreteness": 7.5,
"actionability": 7
},
"category": "models",
"subcategory": "timeline-models",
"clusters": [
"ai-safety",
"governance"
],
"metrics": {
"wordCount": 2015,
"tableCount": 26,
"diagramCount": 0,
"internalLinks": 64,
"externalLinks": 0,
"footnoteCount": 0,
"bulletRatio": 0.16,
"sectionCount": 49,
"hasOverview": true,
"structuralScore": 11
},
"suggestedQuality": 73,
"updateFrequency": 90,
"evergreen": true,
"wordCount": 2015,
"unconvertedLinks": [],
"unconvertedLinkCount": 0,
"convertedLinkCount": 24,
"backlinkCount": 2,
"hallucinationRisk": {
"level": "medium",
"score": 60,
"factors": [
"no-citations",
"few-external-sources"
]
},
"entityType": "analysis",
"redundancy": {
"maxSimilarity": 15,
"similarPages": [
{
"id": "safety-research-value",
"title": "Expected Value of AI Safety Research",
"path": "/knowledge-base/models/safety-research-value/",
"similarity": 15
},
{
"id": "warning-signs-model",
"title": "Warning Signs Model",
"path": "/knowledge-base/models/warning-signs-model/",
"similarity": 15
},
{
"id": "compounding-risks-analysis",
"title": "Compounding Risks Analysis",
"path": "/knowledge-base/models/compounding-risks-analysis/",
"similarity": 14
},
{
"id": "corrigibility-failure-pathways",
"title": "Corrigibility Failure Pathways",
"path": "/knowledge-base/models/corrigibility-failure-pathways/",
"similarity": 14
},
{
"id": "risk-interaction-matrix",
"title": "Risk Interaction Matrix Model",
"path": "/knowledge-base/models/risk-interaction-matrix/",
"similarity": 14
}
]
},
"coverage": {
"passing": 7,
"total": 13,
"targets": {
"tables": 8,
"diagrams": 1,
"internalLinks": 16,
"externalLinks": 10,
"footnotes": 6,
"references": 6
},
"actuals": {
"tables": 26,
"diagrams": 0,
"internalLinks": 64,
"externalLinks": 0,
"footnotes": 0,
"references": 23,
"quotesWithQuotes": 0,
"quotesTotal": 0,
"accuracyChecked": 0,
"accuracyTotal": 0
},
"items": {
"llmSummary": "green",
"schedule": "green",
"entity": "green",
"editHistory": "red",
"overview": "green",
"tables": "green",
"diagrams": "red",
"internalLinks": "green",
"externalLinks": "red",
"footnotes": "red",
"references": "green",
"quotes": "red",
"accuracy": "red"
},
"ratingsString": "N:6 R:6.5 A:7 C:8"
},
"readerRank": 271,
"researchRank": 99,
"recommendedScore": 180.66
}External Links
No external links
Backlinks (2)
| id | title | type | relationship |
|---|---|---|---|
| capability-threshold-model | AI Capability Threshold Model | analysis | related |
| warning-signs-model | AI Risk Warning Signs Model | analysis | related |