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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.17809389 |
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| _version_ | 1866901620670857216 |
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| author | Stieve, Jonathan |
| author_facet | Stieve, Jonathan |
| contents | <p> </p> <p>The Human–AI Recursive Cognitive Loop (HARC Loop) represents a novel hybrid intelligence framework designed to accelerate progress toward controllable superintelligence. By integrating human recursive reasoning with AI-driven pruning, abstraction, and real-time error correction, HARC enables scalable cognitive amplification and emergent meta-cognition. This approach combines human creativity and ethical oversight with AI precision and speed, creating a reproducible, auditable pathway for advanced intelligence systems. The research outlines architecture, protocols, and metrics for recursive depth, logic compression, and bias mitigation—critical components for safe, enterprise-ready AGI development.</p> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17809389 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | The Human–AI Recursive Cognitive Loop: A Pathway to Superintelligence Stieve, Jonathan <p> </p> <p>The Human–AI Recursive Cognitive Loop (HARC Loop) represents a novel hybrid intelligence framework designed to accelerate progress toward controllable superintelligence. By integrating human recursive reasoning with AI-driven pruning, abstraction, and real-time error correction, HARC enables scalable cognitive amplification and emergent meta-cognition. This approach combines human creativity and ethical oversight with AI precision and speed, creating a reproducible, auditable pathway for advanced intelligence systems. The research outlines architecture, protocols, and metrics for recursive depth, logic compression, and bias mitigation—critical components for safe, enterprise-ready AGI development.</p> <p> </p> |
| title | The Human–AI Recursive Cognitive Loop: A Pathway to Superintelligence |
| url | https://doi.org/10.5281/zenodo.17809389 |