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The article challenges the common misconception that NP-hard problems are practically unsolvable, arguing that while worst-case scenarios exist in theory, real-world instances rarely trigger computational blow-ups. The author demonstrates that many NP-hard problems—including dependency resolution, type checking, and Boolean satisfiability—are routinely solved efficiently in practice through better algorithms and heuristics, with algorithmic improvements significantly outpacing hardware gains over recent decades. Even when worst-case scenarios occur, practical solutions like timeouts can handle them gracefully.
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