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Human Enhancement Quotient

Recursive Language Models Prove the Case for Governed AI Orchestration

January 25, 2026 by Basil Puglisi Leave a Comment

Recursive Language Models, RLM, AI orchestration, AI governance, inference-time scaling, governed AI, HAIA-RECCLIN, Checkpoint-Based Governance, Human Enhancement Quotient, AI oversight, agentic AI, AI systems architecture, AI accountability, AI safety, human AI collaboration

MIT built the engine. The question now is who drives. This analysis is written for people designing, deploying, or governing reasoning systems, not just studying them. It is a long-form technical examination intended as a foundational reference for the governance of inference-scaling architectures. In one of the MIT paper’s documented execution traces (see Appendix B […]

Filed Under: AI Artificial Intelligence, AI Thought Leadership, Business Networking, Data & CRM, Thought Leadership Tagged With: agentic AI, AI accountability, AI Governance, AI orchestration, AI oversight, AI safety, AI systems architecture, Checkpoint-Based Governance, governed AI, HAIA-RECCLIN, human AI collaboration, Human Enhancement Quotient, inference-time scaling, Recursive Language Models, RLM

The Human Enhancement Quotient (HEQ): Measuring Cognitive Amplification Through AI Collaboration (draft)

September 28, 2025 by Basil Puglisi 3 Comments

HEQ or Human Enhancement Quotient

The HAIA-RECCLIN Model and my work on Human-AI Collaborative Intelligence are intentionally shared as open drafts. These are not static papers but living frameworks meant to spark dialogue, critique, and co-creation. The goal is to build practical systems for orchestrating multi-AI collaboration with human oversight, and to measure intelligence development over time. I welcome feedback, […]

Filed Under: AI Artificial Intelligence, AI Thought Leadership Tagged With: AI Collaboration, HAIA, HAIA RECCLIN, HEQ, Human Enhancement Quotient

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