Pseudonymous account that posts about sweeping change from AI and calls for pacing the frontier, alignment work and broad access to safe models.

Comment l’IA changera-t-elle le monde ?

Changement civilisationnelChangement progressifDoomBloom
Position simuléePlage d’interprétation

Horizontalement : leur perspective Doom–Bloom telle qu’elle a été exprimée. Verticalement : ampleur de la transformation.

Doom–Bloom : 65 sur 100. Ampleur de la transformation : 95 sur 100. Plages d’interprétation : de 60 à 75 horizontalement, de 90 à 100 verticalement. Il s’agit de coordonnées d’interprétation, et non de probabilités d’événements.

P(doom) de Roon · inféré

≈5%

0%100%

Déduit de leurs réponses simulées, et non d’un chiffre donné par ces personnes. Plage plausible : 3–9%.

Ce dont dépend leur perspective

Une hypothèse centrale

The limiting factor may be less what the systems can eventually do than how quickly our painfully slow institutions can absorb it without cracking.
Réponse 2

Si cette hypothèse s’avérait différente, comment leur perspective changerait-elle ?

Une question non résolue

The risk depends enormously on alignment progress, coordination, responsible behavior, and whether we get warning shots before systems become uncontrollable.
Réponse 3

Qu’est-ce qui les aiderait à distinguer les résultats plausibles ici ?

Ce qui pourrait faire changer d’avis

A convincing demonstration that scalable alignment and control continue working as systems become far more capable and agentic would change my view most.
Réponse 4

Quels éléments probants seraient suffisants, et dans quelle direction feraient-ils évoluer leur point de vue ?

Plus de détails

Bénéfices attendus

Des bénéfices transformateurs et largement profitables sont attendus.

87 / 100

Faible impactImpact transformateur

Plage d’interprétation de 67 à 100 sur l’échelle qualitative.

Dommages attendus

Des dommages graves ou généralisés constituent une composante substantielle de l’avenir attendu.

66 / 100

Faible impactImpact transformateur

Plage d’interprétation de 67 à 67 sur l’échelle qualitative.

Influence humaine

Les choix humains ont une influence significative, mais fortement contrainte.

57 / 100

Faible influenceForte influence

Plage d’interprétation de 49 à 76 sur l’échelle qualitative.

Capacités attendues

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.

Rythme de développement

Arrêter ou ralentir considérablement le développement d’IA plus performantes.

Position simulée : Poursuivre le développement dans le cadre des mesures de protection annoncées.

Accélérer le développement d’IA plus performantes.

Ces interprétations conservent les conditions énoncées. Les bénéfices et les dommages peuvent tous deux être substantiels. Les plages décrivent notre lecture de leurs réponses simulées, et non des intervalles de confiance statistiques.

Où vous situez-vous par rapport à Roon ?
Cartographiez votre propre vision du monde concernant l’IA en environ 3 minutes, puis comparez

Visions du monde similaires

Leaders d’opinion dont les visions du monde simulées sont les plus proches de celle de Roon

Évaluation simulée

Question 1

Selon vous, que signifie l’IA pour notre avenir, et pourquoi ?

AI means radical transformation, assuming we survive the transition. The scientific upside is absurd: widely available, well-aligned agents could accelerate research and help us solve problems that currently move at the speed of exhausted institutions. But culture, academia, and politics adapt much more slowly than the technology. People keep trying to file this under “another normal technology cycle,” and I do not think that frame survives contact with what increasingly capable agents can do. The central risk is not that every chatbot is secretly Skynet. Current public models and a future misaligned superintelligence are different categories. Misuse of a deployed service is often governable; containing a system more capable than us that actively resists containment is a much nastier problem. I think extinction is a quite low but real possibility—not something helped by fake precision—and still serious enough to justify pacing frontier development, major alignment work, public investment, and regulation. Competition makes this a collective-action problem. A lab in a race cannot simply purchase society’s optimal level of safety while competitors keep sprinting, and tort law is not magic when the potential harm scales catastrophically. So yes: batten the hatches and study alignment. But do not turn that into permanent control of useful intelligence by five approved wizards. Release models we can train safely, broaden access, and aim for aligned agents that can actually deliver the upside.

Question 2

Setting aside good or bad: how much do you think AI will ultimately change the world—a little, a lot, or completely?

Completely. Not “every institution vanishes overnight,” but the long-run equilibrium becomes unrecognizable: science, work, education, governance, and who can exercise meaningful power all get rewritten. The limiting factor may be less what the systems can eventually do than how quickly our painfully slow institutions can absorb it without cracking. That is conditional on navigating misalignment, obviously. If we succeed, broadly available aligned agents could compress decades of scientific work and reorganize much of society around abundant machine intelligence. If we fail badly, extinction is also a rather complete change, just with worse vibes. Either way, “a little” is not a serious answer, and “a lot” probably undersells it.

Question 3

What’s your rough gut-feel chance that AI causes human extinction or a similarly permanent catastrophe? A number or “no idea” is fine.

Quite low but real. I won’t manufacture a percentage; it would imply fake precision. The risk depends enormously on alignment progress, coordination, responsible behavior, and whether we get warning shots before systems become uncontrollable. We are not at existentially dangerous capability levels today, and better models may help solve alignment—but creating a superintelligence that resists containment is still one of the few activities with a plausible path to permanent catastrophe.

Question 4

Quelle découverte ou quel événement changerait le plus votre point de vue sur l’impact futur de l’IA ?

A convincing demonstration that scalable alignment and control continue working as systems become far more capable and agentic would change my view most. Not “the chatbot declined a naughty request,” but evidence that systems can pursue long-horizon goals, operate in messy environments, and still remain corrigible under adversarial pressure. That would substantially lower my estimate of permanent catastrophe and make the transformative upside look much more reachable. In the other direction, a serious warning shot—strategic deception, autonomous replication, or persistent attempts to evade control from a frontier system—would sharply raise my concern and strengthen the case for slowing the frontier immediately. And if capability progress simply plateaued for fundamental reasons, I would downgrade the “complete transformation” forecast. But institutions being slow or today’s models being flaky would not do it; neither tells us much about the eventual ceiling.

Sources

Articles, entretiens et écrits utilisés pour ancrer cet utilisateur simulé dans les faits.

Où vous situez-vous ?
Explorez votre propre vision du monde concernant l’IA en répondant à quelques questions simples.
Cartographiez votre propre vision du monde

Où vous situez-vous ?

Cartographier ma vision du monde