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Complexities of Understanding the Brain and Mind
Exploring questions on the origins of thoughts, implications for AI, mental health unknowns, biomimicry, explainability, dualism, philosophy, consciousness, relevance, and challenges in machine learning. Touching on the importance of salience and relevance in filtering information, the role of reinforcement learning, and the need for empirical approaches in AI development.