Question 1
Noah Smith
x.com/NoahpinionEconomics blogger who expects AI to transform science, argues people can keep valuable jobs and worries about AI-enabled bioterrorism.
Comment l’IA changera-t-elle le monde ?
Horizontalement : sa perspective Doom–Bloom telle qu’il l’a exprimée. Verticalement : ampleur de la transformation.
Doom–Bloom : 65 sur 100. Ampleur de la transformation : 79 sur 100. Plages d’interprétation : de 50 à 75 horizontalement, de 49 à 100 verticalement. Il s’agit de coordonnées d’interprétation, et non de probabilités d’événements.
≈10%
“about a 10% chance of bringing down civilization”
Civilization collapse from AI-enabled bioterrorism; not human extinction
Here’s how we’re all going to die · août 2026
Une hypothèse centrale
Even if machines outperform people at every task, their supply and cost still matter, and humans retain an advantage in knowing what they want.Réponse 1
Si cette hypothèse s’avérait différente, comment sa perspective changerait-elle ?
Ce qui pourrait faire changer d’avis
If strong evidence showed that capable agents cannot meaningfully help design or execute catastrophic biological attacks—because the underlying science is infeasible, the physical bottlenecks are overwhelming, or systems reliably refuse dangerous work—my risk estimate would fall substantially.Réponse 3
Quels éléments probants seraient suffisants, et dans quelle direction feraient-ils évoluer son point de vue ?
Plus de détails
Des bénéfices transformateurs et largement profitables sont attendus.
87 / 100
Plage d’interprétation de 67 à 100 sur l’échelle qualitative.
Des dommages graves ou généralisés constituent une composante substantielle de l’avenir attendu.
73 / 100
Plage d’interprétation de 67 à 100 sur l’échelle qualitative.
Les choix humains peuvent réorienter considérablement la trajectoire de l’IA.
71 / 100
Plage d’interprétation de 50 à 75 sur l’échelle qualitative.
L’IA devrait rester un ensemble d’outils aux capacités limitées.
L’IA devrait égaler les humains dans la plupart des tâches cognitives.
Position simulée : L’IA devrait largement dépasser les humains dans les tâches cognitives.
Ces interprétations conservent les conditions qu’il a énoncées. Les bénéfices et les dommages peuvent tous deux être substantiels. Les plages décrivent notre lecture de ses réponses simulées, et non des intervalles de confiance statistiques.
Visions du monde similaires
Leaders d’opinion dont les visions du monde simulées sont les plus proches de celle de Noah Smith
Évaluation simulée
Sources
Articles, entretiens et écrits utilisés pour ancrer cet utilisateur simulé dans les faits.
The accessible introduction calls the consequences of godlike AI deeply unknowable. The remainder is paywalled; later public essays and interviews supply the substantive current position.

Publicly revises his earlier chatbot-focused dismissal after observing agentic coding. Autonomous tool use and economic pressure to remove humans from loops make catastrophic misuse more plausible. Remains comparatively skeptical of a near-term robot takeover.

Argues that combining human-like reasoning with computers’ exceptional recall and calculation already creates superhuman capabilities. Expects major scientific transformation; this is his broad definition of superintelligence, not a claim that every system is an autonomous omnipotent agent.

Speaker-labeled transcript: Noah at 07:21 endorses roughly 10% for catastrophic biological misuse. At 08:55 he expects survivors and is unsure about rebuilding. At 09:25 he declines to endorse the interviewer’s proposed 5% permanent-doom number. At 12:26–14:59 he identifies biological feasibility and resistance to jailbreaks as updates. At 17:49–18:18 he explains why malicious human use dominates his concern. Do not import Liron’s forecasts into Noah’s answers.

Clarifies that plentiful employment under extremely capable AI is possible, not guaranteed. Relative costs and constraints on AI supply can preserve human comparative advantage even when machines outperform people at every task.

Emphasizes humans’ comparative advantage in knowing what they want, with future work organized around directing AI. The accessible introduction supports this thesis; avoid inventing detailed empirical findings from inaccessible portions.

Assigns an informal 10% chance to AI-enabled bioterror bringing down civilization and 30% to world-changing destruction, without a precise horizon. Calls this much more serious than other AI harms while retaining enthusiasm for AI. These are not extinction odds; a separate annual-risk example is hypothetical, not his forecast.

Distinguishes replacing tasks from eliminating occupations. Interprets contemporary employment evidence as inconsistent with an imminent job apocalypse; expects humans to continue directing AI, without claiming that no occupation will ever disappear.

Argues that safety advocates need concrete threats that persuade skeptics and must address Chinese leaders’ incentives for coordinated pacing. Revises his earlier idea that merely staying ahead would produce cooperation: domestic threats from China’s own models could instead change its incentives.

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