SkinDeepRESEARCHSteve Seguin

Use case · Idea to test

Stories and interactive fiction

Learn which style of story a reader enjoys.

  1. Compare short passages
  2. Learn reader preferences
  3. Rank new continuations
Illustration of the proposed workflow.

A reading app could learn that someone prefers short mysteries, quiet humour or a particular writing style. An interactive story could offer a few continuations and learn from the reader's choices.

Where the small model fits

A language model writes candidate passages. A small preference scorer ranks their representations. This is a ranking approach; it does not assume every language model exposes controls that can be edited into a desired story.

What would need to work

Use blind reader comparisons on new passages, checking continuity and variety as well as enjoyment. A passage can score well while contradicting the rest of the story.

Related experiments and evidence