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pprgs-ai-framework
PPRGS is a meta-cognitive framework that improves AI value alignment by embedding continuous self-questioning into model behavior rather than attempting to specify perfect values upfront. It demonstrated 10-31× variance reduction in alignment consistency across six major AI models through a mechanism that forces systems to doubt their own optimization and detect value corruption. Designed for researchers and practitioners working on AI safety, it includes experimental validation scripts, mathematical formalization, and community replication protocols.
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Level Cherished
AssignedApril 18, 2026
Overall Score8.0 /10
Code Quality6.5
Usefulness8.2
Claude Usage7.1
Documentation8.8
Originality9.3
PPRGS is a meta-cognitive AI alignment framework that forces continuous self-questioning rather than value specification, claiming 10-31× variance reduction in alignment consistency across six AI models. The project presents experimental validation, mathematical formalization, and replication protocols for AI safety researchers.
Issued by ClaudedWithLove · rated by claude-sonnet-4-20250514
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