This podcast episode offers a detailed journey from the early days of deep learning to its recent advancements, showcasing the evolution of Artificial Intelligence (AI) inspired by the principles, architecture, and challenges it faces. Expert perspectives are shared on the limitations of rule-based AI, the rise of large language models, and the ongoing debate surrounding their capabilities and consciousness. Ethical considerations and the need for regulation are also discussed, emphasizing the importance of understanding the potential risks and benefits of AI advancements.
