The prizes received by Geoffrey Hinton and by Demis Hassabis and John Jumper were very much for AI.
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?
What would count as true or false
The claim is that the prizes given to Geoffrey Hinton, and to Demis Hassabis and John Jumper, were 'very much for AI'. Note that the recorded date (2022-05-26) comes before the 2024 Nobel Prizes, which are the most likely subject. First identify which prizes the source context refers to; if that is ambiguous, use the 2024 Nobel Prizes in Physics (Hinton) and Chemistry (Hassabis and Jumper). Judge each award by its official citation and the awarding body's own explanatory materials. True: for both awards, the citation and the committee's materials describe the honoured work as artificial intelligence, machine learning or neural-network work (for example AI-based protein structure prediction such as AlphaFold, or foundational neural-network/machine-learning discoveries). Mostly true: both awards are substantially for AI work, but one citation frames it mainly in disciplinary terms (physics or protein structure) while its materials still make clear the AI system or method is what was honoured. Mixed: one award is clearly for AI work and the other is clearly for non-AI work. Mostly false: both awards involve AI only incidentally, with the official rationale centred on other contributions. False: the official citations and materials show neither award was for AI work.
Set before the research began.
Evidence (4)
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E1 Nobel Prize in Physics 2024 The Royal Swedish Academy of Sciences (press release on NobelPrize.org) · 8 October 2024
“for foundational discoveries and inventions that enable machine learning with artificial neural networks”
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E2 Nobel Prize in Physics 2024 The Royal Swedish Academy of Sciences (press release on NobelPrize.org) · 8 October 2024
“When we talk about artificial intelligence, we often mean machine learning using artificial neural networks.”
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E3 Nobel Prize in Chemistry 2024 The Royal Swedish Academy of Sciences (press release on NobelPrize.org) · 9 October 2024
“Demis Hassabis and John Jumper have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures.”
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E4 Nobel Prize in Chemistry 2024 The Royal Swedish Academy of Sciences (press release on NobelPrize.org) · 9 October 2024
“for protein structure prediction”
Reasoning
The 2024 Physics citation for Hinton reads "for foundational discoveries and inventions that enable machine learning with artificial neural networks" (E1), and the committee's press release links this work directly to artificial intelligence (E2). The Chemistry citation for Hassabis and Jumper is framed in disciplinary terms, "for protein structure prediction" (E4). However, the committee's press release says they "developed an AI model" to solve that problem (E3). The criteria call this case mostly true: both awards are substantially for AI work, but one citation frames it mainly in disciplinary terms while the materials make clear the AI system was what was honoured.
Cite this claim
Ray Kurzweil, “The prizes received by Geoffrey Hinton and by Demis Hassabis and John Jumper were very much for AI.” (said 26 May 2022). Verdict: mostly true. Reliability API, claim c_6163a594690b, method 0.1.0+28da144b, dataset release v1.1.2. https://epistacklabs.com/claims/c_6163a594690b
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More factual claims by Ray Kurzweil
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Mostly false
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Resolved true
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Verdicts are made automatically; how verdicts are made.