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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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Trainability Versus Theoretical Universality

  • Turing completeness is one way to characterize computational power, but neural networks' continuous, high-dimensional nature aids trainability.
  • Moore emphasizes tool use and extensible external memory as practical paths to recursion and universality.
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