Published April 26, 2026
| Version v0.1.0
Preprint
Open
An Organic Operator and AI Operator Collaborative Review of Active Inference Free Energy Minimization: Reviewable Foundations, Reproducible Tests, and Open Tensions
Authors/Creators
- 1. TMDLRG
- 2. Anthropic
- 3. OpenAI
Contributors
- 1. Anthropic
- 2. OpenAI
Description
An audit-grade collaborative review of variational free energy as it is used in active inference, organized as a transparent re-presentation of the central variational identity together with a sentence-level provenance trail and a deterministic reproducibility test suite (87 pytest assertions across 11 numerical demonstrations, CI-verified across Linux × Windows × macOS × Python 3.11/3.12/3.13). Treats Maren's Themesis Technical Report TR-2019-01v6 as a test case for the audit method, not a target. Layer 1 (AI-executable) of the audit remediation plan is complete; Layer 2 (human expert review) gates remain pending. Source materials referenced (Maren TR-2019-01v6; Parr/Pezzulo/Friston 2022; SOURCE C GPT review) are NOT redistributed in this repository.
Notes
Files
TMDLRG/An-Organic-Operator-and-AI-Operator-Collaborative-Review-of-Active-Inference-v0.1.0.zip
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Additional details
Related works
- Is derived from
- Book: https://www.amazon.com/ORCHESTRATE-Prompting-Professional-AI-Outputs/dp/B0G2BJKDM6 (URL)
- Is source of
- Software: https://github.com/TMDLRG/An-Organic-Operator-and-AI-Operator-Collaborative-Review-of-Active-Inference (URL)