<ul><li>Shannon's entropy, while foundational, is limited in capturing the dynamic nature of entropy in open systems.</li><li>The difference between open natural systems and closed experimental systems highlights the inadequacy of Shannon's entropy for real-world complexity.</li><li>A proposed Dynamic Entropy Model (DEM) aims to replace Shannon's model and account for evolving probabilities in open systems.</li><li>The shift to a Dynamic Entropy model has implications for AI, quantum mechanics, and complexity science.</li></ul>

Beyond Shannon: A Dynamic Model of Entropy in Open Systems white paper to go with my python and…

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