This podcast is a presentation providing a high-level overview of the artificial intelligence ecosystem. It explains how traditional applications are being replaced by generative AI, impacting products, processes, and job requirements. The speaker discusses the evolution of AI from rule-based systems to traditional machine learning, reinforcement learning, and finally, neural networks and deep learning. A significant portion of the presentation is dedicated to explaining how large language models (LLMs) function, covering tokenization, embedding creation, the transformer architecture with its attention mechanism, and the process of predicting subsequent words. The presenter uses analogies and examples to demystify these complex concepts for a broad audience, including engineers, product managers, and founders. The discussion highlights the shift towards generative AI models like those based on transformers and diffusion, emphasizing their capability to create new content.