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Basil C. Puglisi

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RLM

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, Business Networking, Data & CRM, Multi-AI Governance, 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

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