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A concept called Polanyi's Paradox is making the rounds again, and it's worth your attention. The idea, rooted in philosopher Michael Polanyi's observation that we know more than we can tell, poses a fundamental challenge to artificial intelligence — machines struggle to automate tasks humans perform instinctively but cannot fully explain.
That tension lands squarely in our next story. The New York Times has profiled Tilly Norwood, an AI actress whose performances are generated entirely by machine. She books roles, draws audiences, and raises genuinely uncomfortable questions about labor, identity, and what we actually mean when we say someone gave a great performance. Human actors are watching closely, and so are their unions.
Meanwhile, inside corporate America, a quiet contradiction is playing out. A thread on Hacker News describes a Fortune five hundred team mandating aggressive AI use — running the most powerful models constantly, building elaborate agent frameworks — while separately attending workshops on reducing token costs. The two directives are pulling in opposite directions, and nobody seems to have noticed yet.
Keep surfing. Tech Beat out.
