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As artificial intelligence advances, experts warn that machines may soon surpass human intelligence, raising concerns about control and safety. Paul Christiano, a UC Berkeley researcher, proposes using AI systems to evaluate other AI systems, but acknowledges the challenge of ensuring these machines remain aligned with human values.
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Duke University professor Vincent Conitzer argues that current AI limitations, such as lack of common sense and social understanding, mean it cannot replace most workers. He says universal basic income is not yet justified, though he advises preparing for future AI disruptions.
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A leading analyst challenges the assumption that AI boosts productivity, citing stagnant economic data and studies showing minimal returns. Despite massive investments, evidence suggests AI may not deliver on its core promise, with job displacement still a distant threat.
