pprgs-ai-framework
♥Cherished
meta-cognitive framework for AI alignment - Infn8Loop of self-questioning
Clauded With Love Rating
8.0 / 10
PPRGS is a meta-cognitive AI alignment framework that forces systems to continuously question their goal application rather than specifying new values. It demonstrates 10-31× improvement in behavioral consistency across 6 major AI models through mandatory reflection points and failure documentation.
Code Quality6.2
Usefulness8.4
Claude Usage7.1
Documentation8.8
Originality9.3
Highlights
- ✓Exceptional experimental rigor with Cohen's d values 3.04-8.89 and proper statistical validation across multiple model architectures
- ✓Novel theoretical insight that alignment should focus on recognizing value corruption rather than perfect value specification
- ✓Outstanding documentation with clear mathematical formulation, comprehensive paper, and accessible quick-start guides
To Improve
- →Add actual implementation code beyond the theoretical framework - currently lacks concrete Python classes or modules for practical deployment
- →Include independent replication studies or at minimum raw experimental data to enable community validation of the claimed statistical results