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

  1. 3rd Level Hysteresis: What Sean Moran and Bayesian and Markov Networks and Logic Rules Don't Let Us Do Introduction ...I went to publish our 3-part "3rd Level Hysteresis

    A blog post announces a three-part series titled "Level 3 Hysteresis: What Shon Moran and Bayesian and Markov Networks and Logical Rules Don't Give Us." The series aims to explore the limitations of current AI tools, particularly Bayesian and Markov networks, in understanding complex phenomena. It will introduce the concept of Level 3 Hysteresis, Preissach operators, and a "view from the mountain" to offer a new perspective on computational challenges and potential applications in diagnostics and engineering. AI

    3rd Level Hysteresis: What Sean Moran and Bayesian and Markov Networks and Logic Rules Don't Let Us Do Introduction ...I went to publish our 3-part "3rd Level Hysteresis

    IMPACT Explores the theoretical limits of current AI models, suggesting new avenues for research in understanding complex systems.