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Risque d’extinctionSociété civileCo-author, "If Anyone Builds It, Everyone Dies" (with Nate Soares), Little, Brown and Company3 entrées au registre

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Eliezer Yudkowsky

Cofondateur du Machine Intelligence Research Institute, il soutient que construire une IA surhumaine avec les méthodes actuelles tuerait tout le monde sur Terre et appelle à un arrêt international contraignant des grands entraînements.

Fonctions

  1. 2000aujourd’huiCo-founder, Machine Intelligence Research InstituteFounded in 2000 as the Singularity Institute for Artificial Intelligence.Source
  2. 16 sept. 2025aujourd’huiCo-author, "If Anyone Builds It, Everyone Dies" (with Nate Soares), Little, Brown and CompanyNew York Times bestseller; the book's policy proposal is an international treaty halting frontier AI development.Source

Au registre

  1. 8 mai 2023 · Podcast · EconTalk

    It may be that this exact algorithm and methodology suffice as to, as I would put it, go all the way--get smarter than us and then to kill everyone.

    Co-founder, Machine Intelligence Research Institute à l’époque

    On whether current deep-learning methods alone could reach superintelligence.

    Eliezer Yudkowsky on the Dangers of AI

  2. 6 avr. 2023 · Podcast · Dwarkesh Podcast

    I think we are all going to die. But having heard that people are more open to this outside of California, it makes sense to me to just try saying out loud what it is that you do on a saner planet.

    Co-founder, Machine Intelligence Research Institute à l’époque

    Eliezer Yudkowsky — Why AI will kill us, aligning LLMs, nature of intelligence, SciFi, & rationality

  3. 29 mars 2023 · Tribune · TIME

    the most likely result of building a superhumanly smart AI, under anything remotely like the current circumstances, is that literally everyone on Earth will die.

    Co-founder, Machine Intelligence Research Institute à l’époque

    Written in response to the Future of Life Institute's six-month pause letter; the op-ed's closing instruction is "Shut it all down."

    Pausing AI Developments Isn't Enough. We Need to Shut it All Down