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Relational Coherence: Simulating Entanglement in Classical Messaging Systems

Can we create a classical analog to Quantum entanglement? Setup for the Thought Experiment  Let’s play a game. Here’s the setup. You play a commodities broker. You make bids on commodities like corn, soybeans, beef. Bids are in the form: 100 dollars is my bid for soybeans. That’s the format. Bids are always between 100–999. I’m an analyst. I sit next to you and report on your bids. In addition
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What if the Signal wasn’t the Message ?

Back Story What started out as a messaging protocol that mathematically transformed Natural Language into vectors in a bounded space evolved into something more, something interdisciplinary that transcended encryption, encoding, and messaging. First it important to Recall the meaning of High Entropy Encoding systems  Human languages are often treated as low-entropy systems: ordered, predictable, and compressible. But this order is the product of consensus not a native property of language.
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Expanding HEES to Zero Threat Surface

Lets Review the flavors of HEES which includes Sub-Lex and HESS now just referred to as the High Entropy Encoding Systems family . This is an expansion of our Substack post the reader may want to review that   https://open.substack.com/pub/michele211/p/high-entropy-encoding-as-a-new-standard?utm_campaign=post-expanded-share&utm_medium=post%20viewer When we first conceived of HESS we mentioned we expected there to be variants based on what we saw as a new standard of encoding in this Article we introduce HESS
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Multi-State medical records Hive

Building a Smarter Medical Claims System for a Multi-State Future In today’s healthcare landscape, filing a medical claim across different states can feel like navigating a maze. Every jurisdiction, insurer, and provider network comes with its own rules, forms, and policy quirks. What should be a simple transaction becomes a fragmented, error-prone process—costing time, money, and, often, patient trust. But it doesn’t have to be this way. We now have
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Swarm-Based Image Anomaly Detection

A Decentralized Architecture for Visual Forensics Introduction   Swarm-based image detection offers a powerful new approach to visual forensics. Instead of relying on a single model to assess whether an image is real, tampered, or fabricated, this architecture distributes the work across many lightweight, specialized agents. Each agent analyzes only part of the image or focuses on a specific kind of feature, allowing the system to detect subtle inconsistencies and
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