In the coming months DeepMind plans to expand the database to over 100 million structures covering most of the UniProt reference database.
Mostly true True in substance, wrong in a detail.
Promise: Commitments to the person's or organisation's own future action, with something to deliver: was it delivered?
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
'In the coming months' is taken to mean within about 12 months, so by 2022-07-22. True: by then, the AlphaFold Protein Structure Database was expanded to more than 100 million structures covering most of the UniProt reference database, as shown by a dated release. Mostly true: the expansion happened in that window but fell slightly short in a detail, such as just under 100 million structures. Mostly false: the expansion came more than about 12 months after July 2021, or only a partial expansion (much less than 100 million) happened in that window. False: dated evidence shows that the expansion was dropped or never happened.
Set before the research began.
Evidence (4)
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E1 Incredible database now includes almost every protein known to science New Atlas · 29 July 2022
“Now, this AlphaFold Protein Structure Database has been expanded to 200 million, including almost every protein known to science.”
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E2 AlphaFold: where will the next AI breakthrough come from? EMBL-EBI (Ewan Birney, Deputy Director General of EMBL and Director of 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.”
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E3 Machine Learning Turbocharges Structural Biology Engineering (journal, Chinese Academy of Engineering) · 30 May 2022
“A planned further update in 2022 will take AlphaFold DB to over 100 million protein structures”
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E4 AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models Nucleic Acids Research (Oxford Academic) · 17 November 2021 Own record
“which will soon be expanded to cover most of the (over 100 million) representative sequences from the UniRef90 data set.”
Reasoning
E1 (New Atlas, 29 July 2022) reports that the AlphaFold Protein Structure Database "has been expanded to 200 million" structures, covering almost every known protein. E2 (EMBL-EBI) confirms that predictions for about 200 million proteins were made available. Both figures are well above the promised 100 million. E3 shows the update was still only planned as of 30 May 2022, and E1 reports it done by 29 July 2022, so the evidence places the expansion between late May and 29 July 2022, a window that ends about one week after the 12-month mark (22 July 2022). The evidence does not show whether the release came before or after 22 July, so the claim is rated mostly true and the timing is left open.
Cite this claim
Demis Hassabis, “In the coming months DeepMind plans to expand the database to over 100 million structures covering most of the UniProt reference database.” (said 22 July 2021). Verdict: mostly true. Reliability API, claim c_ba91c10a654d, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_ba91c10a654d
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More promise claims by Demis Hassabis
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Delivered on time
“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!!”
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Resolved false
“And Pro to come…”
Google DeepMind will release a Gemini 3.5 Pro model following Gemini 3.5 Flash.
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Resolved true
“Yes, we already have lots of internal checks and balances but we’re going to start publishing.”
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Mostly true
“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.”
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Delivered on time
“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.
Verdicts are made automatically; how verdicts are made.