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Balancing Realism and Simplification in AI Development
AI development involves a balance between programming real-world physics and simplifying tasks to achieve optimal outcomes. While some aspects like teaching bots basic real-world concepts might be necessary for general intelligence, the focus should be on efficient solutions rather than excessive complexity. The approach of 'doing the dumb thing that works' in AI development, such as next token prediction models, has shown surprising effectiveness despite its simplicity.