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Thinking fast and slow in AI: The role of metacognition (2021)

177 points · 84 comments · teleforce

  1. crorella · · focus · HN ↗
    It looks like a lot like how data bases query optimizers work, with the exception that in the paper there is also a learning/memory component that conditions the evaluation of the answer provided by the first model.
    1. mdk2578 · · focus · HN ↗

      [dead]

    2. alansaber · · focus · HN ↗
      Given how LLMs access compressed knowledge from their model weights, the similarities make sense
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