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Pascal's Mugging

A stranger says: "Give me \$5, or I'll use magic powers to torture 3↑↑↑↑3 people in another dimension." The chance is absurdly low — but the threatened number is so astronomically huge that probability × payoff still says: pay up. That's Pascal's Mugging.

Why it matters for AI

An AI that reasons by expected value can be hijacked by any claim that pairs a tiny probability with a gigantic stakes number. The math says act, even when common sense screams "ignore this."

Reason that only multiplies probability by magnitude has no defense against a big enough imaginary threat.

  • It's a cousin of Roko's Basilisk (a low-probability future threat coercing present action).
  • It shows why naive utility-maximizers are dangerous, and why robust values and bounded reasoning matter for alignment.
  • It's secular Pascal's Wager with the payoffs cranked to infinity.

Related: Roko's Basilisk · Newcomb's Problem and Decision Theory · The Fragility of Value

Categories: AI Philosophy AI Safety