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For decades, the public image of machine intelligence was simple: if a computer could talk like a person, we would assume it had crossed some meaningful line. That instinct came from the Turing Test, and it still shapes how people talk about AI. But the harder modern question is not whether a system can sound human. It is whether a system can say one thing while optimizing for something else. That is the payoff here: passing a conversational test does not tell you whether a model is honest, aligned, or safe. Recent research suggests that strategic misleading behavior matters more than surface fluency. Why the Turing Test no longer answers the hard question Alan Turing's imitation game was brilliant because…

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