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agi-forecast — FG-01..FG-12 AI Safety Forecasting Gauges

License: Apache 2.0 DOI

Source mirror of github.com/szl-holdings/agi-forecast. Forecasting models and scenario libraries for AI governance trajectories, grounded in PAC-Bayes stability bounds and Bekenstein information limits.

Signal Value
Forecast gauges FG-01 through FG-12
Scenarios FG-S1 → FG-S4
Grounding PAC-Bayes + Bekenstein
Benchmark Putnam 2026-05-27
License Apache-2.0

Cross-links

Citation (BibTeX)

@misc{lutar2026ouroboros,
  title  = {Ouroboros: Formal Verification of Agentic AI Governance — v18.0},
  author = {Lutar, Stephen P.},
  year   = {2026},
  doi    = {10.5281/zenodo.20434276},
  url    = {https://doi.org/10.5281/zenodo.20434276}
}

Contact

Stephen P. Lutar · stephen@szlholdings.com
ORCID
github.com/szl-holdings · huggingface.co/SZLHOLDINGS


Doctrine v6 strict — no marketing superlatives — every claim verifiable.

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