ClaimsDemis Hassabis

“I could imagine these systems being quite good at designing and helping us build future versions of themselves, but we also have to think about the safety implications of that of course.”

Demis Hassabis, CEO of Google DeepMind 28 February 2024 Demis Hassabis — Scaling, superhuman AIs, AlphaZero atop LLMs, AlphaFold (Dwarkesh Podcast)

Prediction AI capabilities

AI systems could become quite good at designing and helping build future versions of themselves.

Unresolvable The public record could not settle it.

Prediction: Statements about events outside the person's control, checked once they fell due: did they come true?

Reasoning

Vague 'could' prediction with no horizon.

Cite this claim

Demis Hassabis, “AI systems could become quite good at designing and helping build future versions of themselves.” (said 28 February 2024). Verdict: unresolvable. Reliability API, claim c_96f5fa03e70c, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_96f5fa03e70c

This claim is in dataset release v1.1.2, with the same verdict.

Reply to this claim

For Demis Hassabis, or someone speaking for them: a correction or counter-evidence. Replies are read before anything is shown; an approved reply shows your name, role, date, statement and link. Your email address is never shown and is deleted 30 days after the decision (privacy).

More prediction claims by Demis Hassabis

  1. Resolved true Prediction 23 July 2025
    “I think fusion and solar are the two that I would bet on.”

    Asked whether it would be nuclear fusion, Demis Hassabis said he thinks fusion and solar are the two energy sources he would bet on.

  2. Resolved true Prediction 28 February 2024
    “I think the next versions of this over the next year, 18 months, we’ll maybe have some contextual understanding of the environment around you through a camera or a phone or some glasses.”

    Hassabis said he thought the next versions of these systems, over the next year to 18 months, might have some contextual understanding of the user's environment through a camera, phone or glasses.

All of them

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