Regression to the Mean: How LLMs May Quietly Flatten Originality Rather Than Spark an Explosion of New Ideas
This article critically examines the promise that LLMs would spark an explosion of new ideas and creativity. Instead, it argues that these models may quietly drive a regression toward the mean — flattening originality, novelty, and divergence into safe, statistically average outputs. The piece warns that we may mistake this gentle homogenization for progress
rruxandra.github.io4h ago 
