• E061 - Deep Learned Correlations

  • Dec 5 2024
  • Length: 30 mins
  • Podcast

E061 - Deep Learned Correlations

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  • Summary

  • I explore the concept of deep learned correlations, drawing parallels between random processes in nature, human behavior, and advanced systems like GPT. I explain how GPT generates coherent, meaningful outputs by learning complex, long-term correlations from vast amounts of data, combining determinism, randomness, and learning. This analogy is extended to human creativity, personal behavior, and even evolution, suggesting that life might not rely solely on random mutations but on an intelligent mechanism that has learned deep correlations of successful life forms. I propose that evolution, like GPT, could generate well-adapted organisms efficiently through these learned correlations, offering a fresh perspective on the process of life's diversification.
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