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Leopold Aschenbrenner

Ancien chercheur en superalignement chez OpenAI et auteur de « Situational Awareness », il dirige aujourd’hui une société d’investissement centrée sur l’AGI et avertit que le contrôle d’une superintelligence attendue d’ici la fin de la décennie n’est pas résolu et qu’une course entre les États-Unis et la Chine pourrait finir en catastrophe.

Fonctions

  1. févr. 2022nov. 2022Researcher, FTX Future FundResigned with the rest of the team when FTX filed for bankruptcy.Source
  2. 2023avr. 2024Researcher, Superalignment team, OpenAIFired in April 2024 over an alleged information leak, a characterisation he disputes.Source
  3. 2024aujourd’huiFounder, Situational Awareness LPAGI-focused investment firm backed by Patrick and John Collison, Nat Friedman and Daniel Gross.Source

Au registre

  1. 4 juin 2024 · Podcast · Dwarkesh Podcast

    This whole scheme is terrible. Being in neck and neck race at this point is terrible.

    Founder, Situational Awareness LP à l’époque

    On the danger of a close superintelligence race between the US and China.

    Leopold Aschenbrenner — 2027 AGI, China/US super-intelligence race, & the return of history

  2. juin 2024 · Article scientifique · situational-awareness.ai

    If we're lucky, we'll be in an all-out race with the CCP; if we're unlucky, an all-out war.

    Founder, Situational Awareness LP à l’époque

    Situational Awareness: The Decade Ahead

  3. juin 2024 · Article scientifique · situational-awareness.ai

    Reliably controlling AI systems much smarter than we are is an unsolved technical problem… failure could easily be catastrophic.

    Founder, Situational Awareness LP à l’époque

    The 165-page essay series published two months after he left OpenAI.

    Situational Awareness: The Decade Ahead

  4. 29 mars 2023 · Publication · For Our Posterity

    Scalable alignment—aligning superhuman AGI systems—is a real, unsolved problem. Current alignment techniques rely on human supervision, but as models become superhuman, humans won't be able to reliably supervise them.

    Researcher, Superalignment team, OpenAI à l’époque

    Written while he was on OpenAI's superalignment team.

    Nobody's on the ball on AGI alignment