The difficulty of computing stable and accurate neural networks

The article likely discusses the challenges in training and deploying neural networks that are both reliable and produce correct outputs. This could involve issues like vanishing gradients, exploding gradients, sensitivity to input data, and the need for extensive computational resources. The source, Hacker News, suggests a technical audience interested in the practical and theoretical aspects of AI.