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It may just be being human. Stephen Dubner interviews A.I. performer Tilly Norwood to find out if we are as replaceable as we fear. (Part two of a two-part series.)
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Writers, designers, actors, coders, musicians, thinkers — they’re all worried about being replaced by machines. But what if the A.I.s are actually here to help? (Part one of a two-part series.)
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They say they make companies more efficient through savvy management. Critics say they bend the rules to enrich themselves at the expense of consumers and employees. Can they both be right? (Probably not.)
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David Rubenstein, a product of the old bipartisan D.C., made his fortune in private equity. He’s been spending it on “patriotic philanthropy” and institutions like the Kennedy Center, where Trump fired him as chairman. Now he wonders if the center can hold.
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Podcasting started as a niche-nerd pursuit. Now it’s a $9 billion industry. Is that a lot? The strange economics of this thing we do.
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An economist calls America’s beef industry a “miracle.” An antitrust scholar calls it “broken.” Maybe they’re both right?
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That’s the question at the heart of a battle between Kalshi and state gambling regulators. As prediction markets boom, there are other questions, too — about insider trading, market manipulation, and whether the public has turned against them. (Part two of a two-part series.)
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The promise is that they can beat the experts at predicting inflation, elections, and FDA approvals. But right now, roughly 90 percent of the action is sports. Is this a future we want to bet on? Stephen Dubner speaks with, among others, the C.E.O. of Kalshi. (Part one of a two-part series.)
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He was thriving in the N.F.L., but then he decided to focus on mathematics — a subject he now teaches at M.I.T. John walks Stephen Dubner through the whole story, teaches him some blocking techniques, and explains why some infinities are bigger than others.
If you'd like to see the video version of Better in Person, you can watch it on YouTube or Apple Podcasts.
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For decades, teams have tried (and mostly failed) to predict which college quarterbacks will thrive in the pros. Is the science finally catching up? Stephen Dubner speaks with a scout, a psychologist, a data warrior, and a Hall of Fame quarterback who nobody wanted.
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