This blog post discusses the relationship between logistic regression and neural networks, emphasizing that while neural networks can be seen as an extension of logistic regression with more parameters, they exhibit new behaviors at scale that were not anticipated. The author reflects on the evolution of artificial intelligence and the diminishing focus on neural networks despite their fundamental importance in large language models (LLMs).