ClaimsDemis Hassabis

“And the reason is that most of the prediction algorithms are quite slow.”

Demis Hassabis, CEO Google DeepMind, interviewee 10 April 2026 HUGE Conversations w/ Google DeepMind CEO Demis Hassabis (Transcript) (The Singju Post)

Factual Science and research methods

Most protein structure prediction algorithms before AlphaFold were quite slow.

Not researched Checkable, but outside the sample that was researched.

Factual: Statements about the present or the past, checked against the record: did they hold up?

Cite this claim

Demis Hassabis, “Most protein structure prediction algorithms before AlphaFold were quite slow.” (said 10 April 2026). Verdict: not researched. Reliability API, claim c_4fcb9ecb1d47, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_4fcb9ecb1d47

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

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More factual claims by Demis Hassabis

  1. Mostly true Factual 10 April 2026
    “what’s important about them is their 3D structure.”

    A protein's 3D structure is what determines, or partially determines, its function.

  2. Resolved true Factual 10 April 2026
    “So over 3 million scientists are now using AlphaFold.”

    Over 3 million scientists are now using AlphaFold.

  3. Resolved true Factual 10 April 2026
    “Only about 10% of drugs actually get through all the clinical stages.”

    Only about 10% of drugs get through all the clinical stages.

  4. Mostly true Factual 25 November 2025
    “The AlphaFold Server is empowering non-commercial researchers globally to harness this technology, accelerating their ability to formulate and test new hypotheses.”

    The AlphaFold Server is available to non-commercial researchers globally for predicting structures and interactions.

  5. Mostly true Factual 25 November 2025
    “Our AlphaProteo model can design novel, high-strength protein binders that target diverse molecules – including those associated with cancer and diabetes.”

    AlphaProteo can design novel, high-strength protein binders targeting diverse molecules, including ones associated with cancer and diabetes.

All of them

Verdicts are made automatically; how verdicts are made.