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Ross Douthat’s new column on AI catastrophe takes a literary route into the debate: he argues that stories and myths can help readers engage with risks they may not be equipped to assess technically.

Why it matters

Douthat says he is not qualified to judge competing forecasts about recursive self-improvement, and describes reading works including the AI 2027 project and If Anyone Builds It, Everyone Dies. That is a personal approach to the debate, not technical evidence that an AI takeover is likely. There’s a useful distinction here: stories can make a frightening possibility imaginable, but they cannot tell us how probable it is.

Discuss: Should AI-risk arguments rely more on vivid scenarios, or on technical evidence even when it is harder to follow?

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