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The podcast discuss the transformative potential of AI-powered education, focusing on the concept of self-learning and self-teaching AI.

It explores how AI can acquire knowledge through methods like Reinforcement Learning (RL) and Self-Supervised Learning (SSL), and effectively transfer this knowledge using Natural Language Processing (NLP) and adaptive learning systems.

The podcast also outlines the technical components required to build such AI tutors, including deep learning frameworks, vector databases, and knowledge graphs, and considers the ethical implications and future possibilities of AI in revolutionizing learning and teaching.