Dialects for Humans: Sounding Distinct from LLMs
TL;DR: Humans are developing new linguistic patterns to distinguish themselves from AI-generated content, and the rate of change will accelerate. How Dialects Form Dialects often emerge through geographical isolation (think Australian English vs British English). But there's another powerful driver of dialect formation: the conscious or unconscious need to signal...
Jul 2, 20259
A simple solution to the problem is ensuring that the output of an LLM aligns with a specified schema.
It's possible to do this already. Only want to give an LLM three "valid" options to choose from? Then define an output type with three valid options using a tool like dottxt-ai.github.io/outlines
In many ways, I think this is analogous to how legal systems enumerate only several valid ways of adjudicating a crime, out of the theoretically infinite decision space.