As quoted in John Von Neumann: The Scientific Genius Who Pioneered the Modern Computer, Game Theory, Nuclear Deterrence, and Much More (2016) by Norman Macrae, p. 352 in response to Oppenheimer's 'destroyer of worlds' quote.
“
Some people confess guilt to claim credit for the sin.
— John von Neumann
What It Means
This is a placeholder explanation generated by the low-overhead model. It interprets "Some people confess guilt to claim credit for the sin." in the context of "As quoted in John Von Neumann: The Scientific Genius Who Pioneered the Modern Computer, Game Theory, Nuclear Deterrence, and Much More (2016) by Norman Macrae, p. 352 in response to Oppenheimer's 'destroyer of worlds' quote." to mean that wisdom is timeless.
Source: Wikiquote: "John von Neumann" (Quotes)
The 'What it means' explanation text was generated by Google Gemini Flash (accessed January 18, 2026). https://gemini.google.com/app
About John von Neumann
John von Neumann (28 December 1903 – 8 February 1957) was a Hungarian-American-Jewish mathematician, physicist, inventor, computer scientist, and polymath. He made major contributions to a number of fields, including mathematics (foundations of mathematics, functional analysis, ergodic theory, geometry, set theory, topology, and numerical analysis), physics (quantum mechanics, hydrodynamics and quantum statistical mechanics), economics (game theory), computing (Von Neumann architecture, linear programming, self-replicating machines, stochastic computing), and statistics.
About John von Neumann
John von Neumann (28 December 1903 – 8 February 1957) was a Hungarian-American-Jewish mathematician, physicist, inventor, computer scientist, and polymath. He made major contributions to a number of fields, including mathematics (foundations of mathematics, functional analysis, ergodic theory, geometry, set theory, topology, and numerical analysis), physics (quantum mechanics, hydrodynamics and quantum statistical mechanics), economics (game theory), computing (Von Neumann architecture, linear programming, self-replicating machines, stochastic computing), and statistics.
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