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Explore the intersection of artificial intelligence, logic, and programming in this thought-provoking EuroPython conference talk. Delve into an alternative approach to AI research that focuses on fundamental questions in logic and language, using simple Python programs to examine key concepts such as loops, self-reference, and tangled hierarchies. Discover how these notions reflect important programming concepts and offer a potentially more satisfying path to understanding intelligence and learning. Gain insights into the limitations of current AI techniques that rely on big data and simulations, and consider the merits of a more philosophical approach to machine intelligence. Through concrete and accessible examples, even novice programmers can grasp the concepts presented and engage with deeper questions about the nature of mind, intelligence, and learning.
