Model Collapse (opens in new tab)
Model Collapse Posted 5/29/2026 I’ve heard many people talk about model collapse recently, especially regarding Large Language Models. This is a phenomenon where training a machine learning model on the outputs of itself or other machine learning models can often degrade performance and magnify errors. In this post I want to talk a little about the phenomenon and its implications for the future of LLMs. How does Model Collapse Work? Let’s demonstrate the problem with one of the simplest machi...
Read the original article