This CS50 lecture introduces artificial intelligence (AI), particularly generative AI, and its underlying principles. The lecture begins with an interactive game where the audience distinguishes between AI-generated and real-world content. It then explores the architecture behind CS50's virtual rubber duck, an AI-based tool designed to assist students with programming problems. The lecture further discusses machine learning, including reinforcement and supervised learning, using examples like a robot learning to flip pancakes and AI playing games like Breakout. The lecture touches on neural networks and large language models, explaining how they work and their potential for "hallucinations" or errors. The lecture concludes with a reflection on the capabilities and imperfections of AI.
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