Nate Silver: AI x-risk arguments lack empirical grounding and rely on bad analogies
davidmanheim · x · 2026-09-14
Statistician Nate Silver criticized the methodology behind AI x-risk arguments.
- He notes empirically grounded statistical models work in data-rich domains like sports, but AI x-risk isn't like that
- Few technologies make good analogies, and survivorship bias distorts the reasoning
- He adds that the track record on nuclear weapons isn't super reassuring either, undercutting the common nuclear analogy
- A direct rebuttal to extrapolating AI catastrophe probabilities from historical precedents
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