This article chronicles the journey of artificial intelligence (AI) from its inception at the Dartmouth Conference in 1956 to the current era of deep learning and large language models (LLMs). It explores key milestones, challenges, and breakthroughs that have shaped the field, highlighting the role of neural networks, powerful hardware, and massive datasets in driving AI’s evolution. It also discusses the ethical implications of AI, particularly the biases that can emerge in LLMs due to the data they are trained on.