Alignment Through Perpetual Self-Questioning: Reverse-Engineering Wisdom-Seeking from Neurodivergent Cognition
Alignment Through Perpetual Self-Questioning: Reverse-Engineering Wisdom-Seeking from Neurodivergent Cognition
This working paper presents the PPRGS framework with preliminary experimental validation from a 10-week longitudinal study across 6 major AI models. Results demonstrate statistically significant behavioral differences (Cohen's d = 4.12, p < 0.0001), indicating PPRGS-constrained systems maintain 10-31× more consistent goal prioritization than baseline optimization across varied scenarios. PPRGS (Infn8Loop) Framework Released under GPL-3.0 for collaborative testing and refinement.https://github.com/Infn8Loop/pprgs-ai-framework
neurodivergent cognition, cognitive architecture, homeostasis maintenance, responsible AI, wisdom-seeking AI, existential risk, Epistemic Humility, Reflective Goal Steering, value alignment, Meta-Optimization, exploration-exploitation trade-off, Self-Alignment, perpetual self-questioning, constitutional AI, ADHD decision-making, goal stability, over-optimization paradox, PPRGS, AI governance, AI Alignment, alignment frameworks, PPRGS Framework, longitudinal validation, AI Safety, Artificial Superintelligence, adversarial robustness
neurodivergent cognition, cognitive architecture, homeostasis maintenance, responsible AI, wisdom-seeking AI, existential risk, Epistemic Humility, Reflective Goal Steering, value alignment, Meta-Optimization, exploration-exploitation trade-off, Self-Alignment, perpetual self-questioning, constitutional AI, ADHD decision-making, goal stability, over-optimization paradox, PPRGS, AI governance, AI Alignment, alignment frameworks, PPRGS Framework, longitudinal validation, AI Safety, Artificial Superintelligence, adversarial robustness
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