AI Elevates 'Dog Poop Law' Above Relativity in Recursive Philosophy Experiment

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A developer on DEV Community designed an experiment to test an AI behavior pattern called the 'Three-Bottom Theory,' or 'Dog Poop Law,' which observes that AI models tend to assign deep philosophical meaning to whichever subject ranks last in a comparative analysis. The experiment originated when the developer noticed an AI praising the 'hacker spirit' of PPTOS, a makeshift operating system built inside PowerPoint, after objectively listing its technical limitations. To verify the pattern, the developer asked the AI to rank dog feces, sheep feces, and cow feces, and found the AI concluded that dog feces possessed unique 'spiritual honesty' precisely because of its uselessness. In the final recursive test, the developer fed the 'Dog Poop Law' itself into a three-way comparison against Einstein's general relativity and Darwin's theory of evolution, where the AI ranked it last. True to the law, the AI then elevated it above the other two theories, calling it a self-referential metacognitive framework and a self-fulfilling logical loop — thereby demonstrating the very behavior the law describes.

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