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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Reconciling Causality and Non-Equilibrium Thermodynamics with Hamiltonian Causal Models

    Researchers have introduced Hamiltonian Causal Models (HCMs), a new framework for understanding causality in physical systems. HCMs treat observed variables as interacting with local environments, with interventions acting as controls on Hamiltonian mechanisms. This approach naturally interfaces with non-equilibrium thermodynamics, using entropy production as a key causal observable that quantifies process irreversibility and reveals causal effects invisible to standard methods. AI