Who’s better at imagining recipes: a computer system or a human?
Chef James Briscione puts the finishing touches on beef tacos seasoned with coffee, fig, and sesame.
Stephanie M. Lee / BuzzFeed
As the dinner hour began, we sipped shimmering glasses of prosecco spiked with cardamom, thyme, and lime leaf. In a cozy dining nook overlooking San Francisco, waiters circled through with beets that'd been pureed, poured into a tray, dehydrated, and sliced, Fruit Roll-Ups–style, into loops that were then stuffed with goat cheese, black truffle, and almond powder. Everything tasted almost familiar, but with twists of spice or tang or sweetness that made it uncategorizable. It made no sense; it was addictive.
Our chef, James Briscione, had been at work in the kitchen for hours, mixing and grilling and marinating dishes that, in one sense, were right at home in San Francisco's experimental food scene. But Briscione was really just the sous-chef — the combinations had been dreamed up by someone, or something, else: IBM's artificial intelligence machine, Watson.
Beet strips stuffed with goat cheese.
Stephanie M. Lee / BuzzFeed
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