AI predictions. Industry promises. Scientific evidence. What actually happened.
Cortist.com · Reality Ledger · Open Research & Data · GitHub
Cortist is an independent AI evidence and forecasting project. We follow consequential developments in artificial intelligence, preserve their original sources, and examine the gap between what was promised, what the evidence shows, and what remains unresolved.
Our work focuses on seven areas: AGI, superintelligence, AI safety, AI agents, jobs, medicine, and energy.
| Explore | What you'll find |
|---|---|
| Reality Ledger | Source-linked records of AI claims, evidence, limitations, and unanswered questions. |
| What Changed? | A transparent record of meaningful evidence revisions — distinct from older source events. |
| AI Promise Tracker | Specific industry commitments and the evidence needed to assess their outcomes. |
| Evidence Watch | Our approach to following original sources and evaluating new developments. |
| AI Forecasts | Transparent forecasting questions, assumptions, and methodological limitations. |
| AI News | Source-based reporting and analysis of important AI developments. |
The Cortist Reality Ledger provides an openly accessible index of versioned evidence records:
Each record aims to distinguish original research, company-reported statements, independently established findings, and outstanding verification questions. Historical snapshots are retained when material updates are published.
Important: These public data are not a certification of AI systems, a guarantee of independently verified forecasts, or a blanket license to redistribute third-party material. Refer to the original sources and their respective terms before reusing content.
Learn more about our methodology and editorial standards.
Website: cortist.com
Open Research: cortist.com/open-research
GitHub: github.com/cortist
Hugging Face: huggingface.co/cortist
Contact: cortist.com/contact
The initial Cortist Reality Ledger dataset (v1.0, 25 October 2026) is permanently archived on Zenodo.
DOI: https://doi.org/10.5281/zenodo.23650580
CC BY 4.0 applies to original Cortist-owned dataset material only. Linked third-party publications retain their respective rights.
Independent AI accountability. Evidence over hype.