AI and I

What Do LLMs Tell Us About the Nature of Language—And Ourselves? - Ep. 23 with Robin Sloan

26 snips
Jun 12, 2024
Best-selling sci-fi novelist Robin Sloan, known for works like Mr. Penumbra's 24-hour Bookstore, dives into the creative process behind his latest novel, Moonbound. He shares his attempts to use language models for storytelling, highlighting their limitations in generating authentic fiction. Sloan explores the fascinating intersections of language, mathematics, and identity, pondering how AI influences our understanding of self and creativity. The conversation navigates the philosophical implications of language, drawing intriguing connections between technology and human experience.
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ANECDOTE

Initial Plans for *Moonbound*

  • Robin Sloan initially aimed to write Moonbound using AI tools developed in 2016.
  • He found the output aesthetically interesting but ultimately insufficient for his creative vision.
ANECDOTE

Early Embedding Space Experiments

  • In 2017-2018, Sloan experimented with embedding spaces, mapping sentences into a high-dimensional space.
  • He found the concept of mapping language to math fascinating but couldn't interpret the dimensions' meanings.
INSIGHT

Limitations of Language Models in Creative Writing

  • High-quality writing exists at the edges of the probability distribution language models operate within.
  • Language models excel at stylistic imitation but struggle with nuanced intentions crucial for exceptional writing.
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