The AIpocalypse Risk-Weighting Framework (ARWF)
Proprietary algorithmic analysis of AI existential threats. The AIpocalypse Risk-Weighting Framework (ARWF) is the scoring system behind every story on this site and every Friday digest.
We love the smell of processed data in the morning.
Why human curation is no longer sufficient.
The velocity of artificial intelligence advancement has surpassed the human capacity for manual risk assessment. The AIpocalypse Risk-Weighting Framework was developed to provide an objective, data-driven index of global AI doom sentiment using advanced linguistic processing and recursive analysis.
The multi-source ingestion engine.
Global ingress. Our system monitors over 500 primary data nodes, including peer-reviewed journals, technical pre-prints, legislative filings, and tier-1 investigative journalism.
De-noising. Algorithms filter out repetitive press releases and hype-cycle content to ensure only substantive risk discussions enter the scoring pipeline.
Proprietary neural analysis.
Semantic vectoring. Each article is decomposed into its core logical arguments before scoring.
Risk-parameter scoring. The algorithm evaluates the text across four dimensions:
The Doom Score formula.
Each article's final score is computed as the product of its three risk parameters, divided by a mitigation factor. Lower mitigation increases the total risk score.
- S
- Final Doom Score
- C
- Criticality (1–10)
- P
- Probability factor
- I
- Imminence
- M
- Mitigation factor (lower M increases total risk)
The Friday Top 10.
The weekly newsletter is not a popularity chart. It is the set of stories that scored highest against the rest of the week.
The threshold. Only articles exceeding a specific standard deviation from the weekly mean Doom Score are eligible for the Friday Top 10. Selection is 100% algorithmic.