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The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore)

Machine Learning Street Talk (MLST)

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Phase Transitions Shape Learnability

  • Phase-transition theory from physics explains regimes where inference is easy, impossible, or only possible by exhaustive search.
  • Moore connects signal-to-noise, landscape ruggedness, and algorithmic tractability using spin-glass ideas.
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