Exploring the challenges of applying theoretical concepts like the cap theorem to real-world machine learning implementations, prioritizing practical functionality over philosophical debates. Delving into the complexities of defining reasoning in AI systems and emphasizing the importance of understanding the tasks AI systems need to perform for effective design.

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