Students without access to LLMs are 2 to 8 times more creative than students with access.
That is the finding of a new paper comparing 2,200 college admissions essays written by humans before ChatGPT with essays generated by GPT-4.
The key point is not individual creativity. GPT-4 can write well, sometimes better than individual students. The problem is collective creativity.
Each new human essay added new semantic territory. New ideas. New angles. New experiences. New combinations.
Each new GPT-4 essay added much less.
The authors call this the diversity growth rate: how much novelty each additional text contributes to the collective pool of ideas.
Humans kept expanding the pool. GPT-4 made the pool converge.
Even when the authors pushed GPT-4 to be more creative, changed parameters, or used chain-of-thought prompting, the homogenizing effect remained.
This is the real danger of AI in education. Not that students will write worse. That everyone will write the same.
* Full paper in the first reply








