ClaimsDemis Hassabis

“Understanding how proteins fold is a fundamental scientific question that could one day help unlock treatments for a range of diseases.”

Demis Hassabis, DeepMind CEO, on X 15 January 2020 Post by @demishassabis on X, 2020-01-15 (X)

Prediction Science and research methods

Understanding how proteins fold could one day help unlock treatments for a range of diseases.

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?

Said for an organisation they lead or work for; it counts on both records.

Reasoning

Vague prediction with 'one day' and no horizon.

Cite this claim

Demis Hassabis, “Understanding how proteins fold could one day help unlock treatments for a range of diseases.” (said 15 January 2020). Verdict: unresolvable. Reliability API, claim c_b13274101322, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_b13274101322

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

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  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

Verdicts are made automatically; how verdicts are made.