ClaimsDemis Hassabis

“Thanks to five tireless years of work and a lot of ingenuity from the AlphaFold team, and working closely for the past few months with our partners at EMBL’s European Bioinformatics Institute (EMBL-EBI), we are able to share this huge and valuable resource with the world.”

Demis Hassabis, DeepMind CEO, on DeepMind blog 22 July 2021 Putting the power of AlphaFold into the world's hands (Google DeepMind)

Factual Their own work or organisation

DeepMind's AlphaFold team worked for five years and closely with EMBL-EBI for the past few months to be able to share the AlphaFold resource.

Mostly true True in substance, wrong in a detail.

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

The second judge would not resolve this claim; the verdict shown is the first judge's.

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

What would count as true or false

True if the evidence shows the AlphaFold project had been under way for about five years by July 2021 (started around 2016) and that DeepMind had worked with EMBL-EBI in the months before the July 2021 launch of the AlphaFold Protein Structure Database, which they launched together. Mostly true if both hold but the project's length is a little off, for example 4 or 6 years. Mixed if only one of the two parts holds, for example the collaboration is confirmed but the project began much later than 2016. Mostly false if the database was released but EMBL-EBI was not a working partner and only hosted it, or if the timeline is badly wrong. False if no joint DeepMind–EMBL-EBI release took place in July 2021.

Set before the research began.

Evidence (4)

  1. E1 DeepMind and EMBL release the most complete database of predicted 3D structures of human proteins EMBL-EBI · 22 July 2021

    “22 July 2021, London – DeepMind today announced its partnership with the European Molecular Biology Laboratory (EMBL), Europe’s flagship laboratory for the life sciences, to make the most complete and accurate database yet of predicted protein structure models for the human proteome.”
  2. E2 Great expectations – the potential impacts of AlphaFold DB EMBL-EBI · 22 July 2021

    “DeepMind and EMBL’s European Bioinformatics Institute (EMBL-EBI) have partnered, initially for a 2-year period, to make hundreds of thousands (and eventually many millions) of AlphaFold structure predictions freely available to the community through a new data resource, AlphaFold DataBase (AlphaFold DB).”
  3. E3 AlphaFold: a solution to a 50-year-old grand challenge in biology DeepMind · 30 November 2020 Own record

    “Now, after 4 years of effort building AlphaFold, we’re starting to see that vision realised, with implications for areas like drug design and environmental sustainability.”
  4. E4 DeepMind and EMBL release the most complete database of predicted 3D structures of human proteins EMBL-EBI · 22 July 2021

    “I am very proud that EMBL has been able to help DeepMind in enabling open access to this remarkable resource.”

Reasoning

E1 and E2, both from EMBL-EBI and dated 22 July 2021, confirm that DeepMind and EMBL-EBI announced a partnership and jointly released AlphaFold DB that day. E4 quotes EMBL as saying it helped DeepMind enable open access to the resource. DeepMind's own November 2020 post (E3) mentions "4 years of effort building AlphaFold", which puts the project at about 4.5 to 5 years by July 2021. That is consistent with the claim, but it comes from the subject itself. No source gives a start date for the collaboration, so "the past few months" is implied by the joint launch rather than shown directly.

Cite this claim

Demis Hassabis, “DeepMind's AlphaFold team worked for five years and closely with EMBL-EBI for the past few months to be able to share the AlphaFold resource.” (said 22 July 2021). Verdict: mostly true. Reliability API, claim c_a2df0ecda1da, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_a2df0ecda1da

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 factual claims by Demis Hassabis

  1. Mostly true Factual 27 May 2026
    “What I can say is that we’re in pre-clinical with a bunch of our programs, and it’s going very well,”

    Isomorphic Labs has a number of its drug programs in the pre-clinical stage.

  2. Resolved true Factual 9 May 2026
    “Hard to believe it’s been 10 years since AlphaGo!”

    It has been 10 years since AlphaGo.

  3. Resolved true Factual 29 April 2026
    “It was a huge honour to meet with President @Jaemyung_Lee in Seoul.”

    Demis Hassabis met South Korean President Lee Jae-myung in Seoul.

  4. Mixed Factual 10 April 2026
    “I got into AI in the first place because I was interested in all the big questions in the world, the nature of reality, nature of consciousness, these kinds of things.”

    Hassabis got into AI originally because he was interested in big questions such as the nature of reality and consciousness.

  5. Mostly true Factual 10 April 2026
    “I think that’s why I decided from a very young age to do AI”

    Demis Hassabis decided from a very young age to work on AI because he was obsessed with big questions as a schoolchild.

All of them

Verdicts are made automatically; how verdicts are made.