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I wasn't explicitly stating the question, It was paraphrasing a common test question for world knowledge.

That you don't need to have a ball, cup, table, or even the ability to perform physical actions in order to consider where the ball ends up is in-itself required knowledge.

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The thing is we tried that for decades, using more formal logic to build reasoning engines. And we never got it to be even a fraction as good and generic as learning-based LLMs are today.
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I dont think think my point is getting across. This is in the context of how much world knowledge a model needs to be trained on, not llm vs not llm.
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