Content Quality Dashboard
This dashboard provides an overview of content quality, staleness tracking, and entity relationship health across the knowledge base.
Summary Statistics
Section titled “Summary Statistics”637
Total Entities
64
Risks
127
Responses
86
Models
3.4
Avg Quality
341
Gaps Found
Quality Distribution
Section titled “Quality Distribution”82
0
Unrated
14
1
Stub
52
2
Draft
219
3
Adequate
192
4
Good
34
5
Excellent
Low Quality (1-2)
66
Needs significant improvement
Adequate (3)
219
Meets basic standards
High Quality (4-5)
226
Well-developed content
Average Quality Score3.4 / 5.0
Content by Type
Section titled “Content by Type”| Type | Count |
|---|---|
| model | 86 |
| organization | 83 |
| approach | 65 |
| ai-transition-model-subitem | 57 |
| risk | 57 |
| researcher | 43 |
| policy | 37 |
| parameter | 26 |
| concept | 25 |
| capability | 24 |
| ai-transition-model-parameter | 22 |
| crux | 18 |
| analysis | 18 |
| project | 17 |
| ai-transition-model-metric | 10 |
| ai-transition-model-scenario | 10 |
| lab-research | 9 |
| safety-agenda | 8 |
| ai-transition-model-factor | 7 |
| historical | 5 |
| argument | 4 |
| lab | 4 |
| lab-academic | 1 |
| event | 1 |
Recently Updated
Section titled “Recently Updated”| Entity | Last Updated |
|---|---|
| Biological / Organoid Computing | 2026-02 |
| Brain-Computer Interfaces | 2026-02 |
| Collective Intelligence / Coordination | 2026-02 |
| Genetic Enhancement / Selection | 2026-02 |
| Light Scaffolding | 2026-02 |
| Minimal Scaffolding | 2026-02 |
| Neuro-Symbolic Hybrid Systems | 2026-02 |
| Neuromorphic Hardware | 2026-02 |
| Novel / Unknown Approaches | 2026-02 |
| Sparse / MoE Transformers | 2026-02 |
Entity Gaps
Section titled “Entity Gaps”Risks Without Responses
Section titled “Risks Without Responses”These risks don’t have any response pages linking to them:
- Misalignment Potential (ai-transition-model-factor)
- Misuse Potential (ai-transition-model-factor)
- AI Capabilities (ai-transition-model-factor)
- AI Uses (ai-transition-model-factor)
- AI Ownership (ai-transition-model-factor)
- Civilizational Competence (ai-transition-model-factor)
- Transition Turbulence (ai-transition-model-factor)
- AI Authoritarian Tools (risk)
- Autonomous Weapons (risk)
- Cyber Psychosis (risk)
- ...and 17 more
Responses Without Risk Links
Section titled “Responses Without Risk Links”These response pages don’t link to any risks:
- Squiggle (project)
- Metaforecast (project)
- SquiggleAI (project)
- XPT (Existential Risk Persuasion Tournament) (project)
- ForecastBench (project)
- AI Forecasting Benchmark Tournament (project)
- AI Safety Institutes (AISIs) (policy)
- Safe and Secure Innovation for Frontier Artificial Intelligence Models Act (policy)
- Artificial Intelligence and Data Act (AIDA) (policy)
- China AI Regulatory Framework (policy)
- ...and 76 more
Orphaned Entities
Section titled “Orphaned Entities”These entities have no incoming or outgoing links:
- Compute Forecast Model Sketch (ai-transition-model-subitem)
- Existential Catastrophe (ai-transition-model-subitem)
- Long-term Trajectory (ai-transition-model-subitem)
- Societal Adaptability (ai-transition-model-subitem)
- AI Control Concentration (ai-transition-model-subitem)
- Alignment Robustness (ai-transition-model-subitem)
- Biological Threat Exposure (ai-transition-model-subitem)
- Coordination Capacity (ai-transition-model-subitem)
- Cyber Threat Exposure (ai-transition-model-subitem)
- Economic Stability (ai-transition-model-subitem)
- ...and 218 more
Enhancement Queue
Section titled “Enhancement Queue”Pages prioritized for improvement based on (importance - quality × 10). High importance + low quality = priority target for enhancement.
| Page | Quality | Importance | Gap | Category |
|---|---|---|---|---|
| Longtermist Funders | 3 | 75 | 72 | organizations |
| Venture Capital | 3 | 40 | 37 | organizations |
| Safe Superintelligence Inc (SSI) | 45 | 75 | 30 | organizations |
| AI Megaproject Infrastructure | 52 | 80 | 28 | models |
| Anthropic Founder Pledges: Interventions to Increase Follow-Through | 45 | 72 | 27 | models |
| Pre-TAI Capital Deployment: $100B-$300B+ Spending Analysis | 55 | 82 | 27 | models |
| AI Revenue Sources | 55 | 82 | 27 | organizations |
| AI Talent Market Dynamics | 52 | 78 | 26 | models |
| Frontier Lab Cost Structure | 53 | 79 | 26 | models |
| Safety Spending at Scale | 55 | 81 | 26 | models |
| Elon Musk (Funder) | 45 | 70 | 25 | organizations |
| Eval Saturation & The Evals Gap | 65 | 90 | 25 | responses |
| Planning for Frontier Lab Scaling | 55 | 79 | 24 | models |
| Reality Fragmentation | 28 | 52 | 24 | risks |
| EU AI Act | 55 | 78 | 23 | responses |
To improve these pages, use the /improving-pages skill or run:
npm run crux -- content improve <page-id>Link Health
Section titled “Link Health”172
Total Links
168
Valid Links
0
Broken Links
98%
Health Score
To get current link health status, run:
npm run crux -- validate refsRunning Validation
Section titled “Running Validation”To run the full validation suite locally:
npm run validateIndividual validators:
npm run crux -- validate templates # Template compliancenpm run crux -- validate data # Entity data integritynpm run crux -- validate refs # Internal link validationnpm run crux -- validate unified # Formatting and escaping rules