The boundary of neural network trainability is fractal

This headline suggests a potentially significant finding in the field of neural networks. The concept of a fractal boundary implies a complex and self-similar structure, which could have implications for understanding and improving the training process. The source, Hacker News, indicates a technical audience, suggesting the article likely delves into the mathematical or computational aspects of this discovery.