ClaimsDemis Hassabis

“This is just one more step towards releasing 100+ million protein structures over the next year, that will cover almost every sequenced protein known to science!!”

Demis Hassabis, on X 9 December 2021 Post by @demishassabis on X, 2021-12-09 (X)

Promise Science and research methods

DeepMind will release more than 100 million protein structures over the next year, covering almost every sequenced protein known to science.

Delivered on time The record shows it happened or was so.

Promise: Commitments to the person's or organisation's own future action, with something to deliver: was it delivered?

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

What would count as true or false

Deadline: end of December 2022. True: by 2022-12-31, DeepMind (with EMBL-EBI) publicly released more than 100 million predicted protein structures, for example in the AlphaFold Protein Structure Database, covering almost all sequenced proteins (for example, nearly all of UniProt). Mostly true: the release happened by the deadline, but with a small difference in a detail, such as the total being just under 100 million or the coverage being described slightly differently. Mostly false: the release came after December 2022, or by the deadline only a much smaller set was released (for example, tens of millions). False: dated evidence shows that the release did not happen or was abandoned.

Set before the research began.

Evidence (4)

  1. E1 AlphaFold reveals the structure of the protein universe DeepMind · 28 July 2022 Own record

    “we’re now releasing predicted structures for nearly all catalogued proteins known to science, which will expand the AlphaFold DB by over 200x - from nearly 1 million structures to over 200 million structures”
  2. E2 AlphaFold predicts structure of almost every catalogued protein ... phys.org · 28 July 2022

    “The database is being expanded by approximately 200 times, from nearly 1 million protein structures to over 200 million, covering almost every organism on Earth that has had its genome sequenced.”
  3. E3 AlphaFold: where will the next AI breakthrough come from? EMBL-EBI · 22 August 2022

    “DeepMind and EMBL’s European Bioinformatics Institute (EMBL-EBI) have made available protein structure predictions for approximately 200 million known proteins.”
  4. E4 AlphaFold: where will the next AI breakthrough come from? EMBL-EBI · 22 August 2022

    “Being able to download the whole prediction set of over 200 million protein structures will almost certainly stimulate entirely new research directions”

Reasoning

On 2022-07-28 DeepMind announced it was releasing predicted structures for nearly all catalogued proteins known to science. This expanded the AlphaFold DB from nearly 1 million to over 200 million structures [E1]. Independent reporting from phys.org on the same date confirms the expansion to over 200 million structures [E2]. In August 2022, EMBL-EBI stated that structure predictions for about 200 million known proteins had been made available, and that the full set of over 200 million could be downloaded [E3, E4]. The release therefore came before the December 2022 deadline and was larger than the promised 100 million.

Cite this claim

Demis Hassabis, “DeepMind will release more than 100 million protein structures over the next year, covering almost every sequenced protein known to science.” (said 9 December 2021). Verdict: delivered on time. Reliability API, claim c_147b1ad6d498, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_147b1ad6d498

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 promise claims by Demis Hassabis

  1. Mostly true Promise 22 July 2021
    “In the coming months we plan to vastly expand the coverage to almost every sequenced protein known to science - over 100 million structures covering most of the UniProt reference database.”

    In the coming months DeepMind plans to expand the database to over 100 million structures covering most of the UniProt reference database.

  2. Resolved false Promise 20 May 2026
    “And Pro to come…”

    Google DeepMind will release a Gemini 3.5 Pro model following Gemini 3.5 Flash.

  3. Resolved true Promise 28 February 2024
    “Yes, we already have lots of internal checks and balances but we’re going to start publishing.”

    Google DeepMind will start publishing its safety checks and capability-based safeguards, having already internal checks and balances.

  4. Mostly true Promise 20 April 2023
    “We’re also creating a new Scientific Board for Google DeepMind to oversee research progress and direction of the unit, which will be led by Koray and will have representatives from across the orgs.”

    Google DeepMind is creating a new Scientific Board, led by Koray Kavukcuoglu with representatives from across the orgs, to oversee research progress and direction.

  5. Delivered on time Promise 2004
    “So far it's been a great deal of fun making this game, and we are confident that when you get your hands on it this fall you'll have at least as much fun playing it!”

    Hassabis said Elixir was confident that players would get their hands on Evil Genius in fall 2004.

All of them

Verdicts are made automatically; how verdicts are made.