LITERARY THEORY FOR ROBOTS: How Computers Learned to Write

In “ Theory for Robots,” Dennis Yi Tenen's playful new book on artificial intelligence and how computers learned to write, one of his most potent examples arrives in the form of a tiny mistake. Tenen draws links between modern-day chatbots, pulp- plot generators, old-fashioned dictionaries and medieval prophecy wheels. Both the utopians ( the robots will save us! ) and the doomsayers ( the robots will destroy us! ) have it wrong, he argues. There will always be an irreducibly human aspect to language and learning — a crucial core of meaning that emerges not just from syntax but from experience. Without it, you just get the chatter of parrots, who, “ to Descartes in his ‘Mediations,' merely repeated without understanding,” Tenen writes. But Descartes didn't write “Mediations”; Tenen must have meant “Meditations” — the missing “t” will slip past any spell-checker program because both words are perfectly legitimate. (The book's index lists the title correctly.) This minuscule typo doesn't have any bearing on Tenen's argument; if anything, it bolsters the case he wants to make. Machines are becoming stronger and smarter, but we still decide what is meaningful. A human wrote this book. And, despite the robots in the title, it is meant for other humans to read. Tenen, now a professor of English and comparative literature at Columbia, used to be a software engineer at Microsoft. He puts his disparate skill sets to use in a book that is surprising, funny and resolutely unintimidating, even as he smuggles in big questions about art, intelligence, technology and the future of labor. I suspect that the book's small size — it's under 160 pages — is part of the point. People are not indefatigable machines, relentlessly ingesting enormous volumes on enormous subjects. Tenen has figured out how to present a web of complex ideas at human scale. To that end, he tells stories, starting with the 14th-century Arab scholar Ibn Khaldun, who chronicled the use of the prophecy wheel, and ending with a chapter on the 20th-century Russian mathematician Andrey Markov, whose probability analysis of letter sequences in Pushkin's […]

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