• The fine-tuning of a model is where it is trained to respond well to inputs, while the underlying base model is less transparent.
  • Magic in machine learning is dangerous because it is observer-dependent, and things only look like magic when they are not understood.
  • Sufficiently advanced technology is essentially magic since it is not fully comprehensible to the observer.

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