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Nobel physics prize awarded to 'godfather of AI' who warned the technology could end humanity

Professor Hinton, often called the 'godfather of AI' made waves last year when he stepped down from Google because of his concerns about the technology. In an interview with the New York Times, he said he sometimes regretted his life's work.

Geoffrey Hinton. Pic: Chris Young/The Canadian Press via AP
Image: Geoffrey Hinton. Pic: Chris Young/The Canadian Press via AP
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The 2024 Nobel prize for physics has been awarded to two scientists who laid "the foundation" for artificial intelligence - although one of them recently warned the technology could be the end of humanity.

John Hopfield from Princeton University and Geoffrey Hinton from the University of Toronto spent decades developing our knowledge of artificial neural networks, which are the basis of a lot of modern artificial intelligence.

Artificial neural networks are inspired by the human brain.

Just as we learn by strengthening or weakening the connections between synapses, machines can learn by strengthening or weakening the connections between nodes.

John J Hopfield and Geoffrey E Hinton are  awarded this year's Nobel Prize in Physics.
Pic: Reuters
Image: John J Hopfield and Geoffrey E Hinton are awarded this year's Nobel prize in physics. Pic: Reuters

Professor Hopfield and Professor Hinton, who has been described as the "godfather of AI", developed artificial neural networks that helped "initiate the current explosive development of machine learning," according to the awarding body, the Royal Swedish Academy of Sciences.

But despite his work advancing the technology, Professor Hinton made waves last year when he stepped down from Google in 2023 because of his concerns about AI.

In an , he said he sometimes regretted his life's work, telling the newspaper: "It is hard to see how you can prevent the bad actors from using it for bad things".

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He even warned the technology could pose a threat to humanity because the machines often learn unexpected behaviour from the vast amounts of data they analyse.

No surprise AI innovators awarded

Photo of Tom Clarke
Tom Clarke

Science and technology editor

Given the step-wise, often collaborative nature of scientific breakthroughs, it's often hard to predict who might win the ultimate prize in science - a Nobel - and when.

But given the unbelievably powerful AI models unleashed on the world last year, you probably wouldn't need GPT4 to predict a prize for the "inventors" of modern artificial intelligence was on the cards.

American physicist John Hopfield and British computer Scientist Geoffery Hinton pioneered the concept of neural networks - digital analogues of how nerve cells in the brain "learn".

Receiving the news by telephone from Stockholm, Hinton, the so-called "Godfather of AI", said: "I'm flabbergasted. I had no idea this would happen. I am very surprised."

Though legendary in the world of AI and computer science for decades, Hinton only came to prominence last year when he warned of the existential dangers of powerful generative AIs that emerged in early 2023.

He has since spoken of his regret in laying the foundations for that technology.

Asked about his work in front of the Nobel Prize committee, he said, "I'd do the same again, but I am worried what the overall consequence of this might be. Systems more intelligent than us that eventually take control."

This Nobel is interesting in that some other key players in the development of neural networks aren't included, like Yan LeCun, now chief AI scientist at Meta, and Yoshua Bengio, of the University of Montreal.

The logic of the Nobel committee is perhaps that this is the prize for physics, not computer science, and Hopfield and Hinton's breakthroughs depended most on application of statistical physics.

Reacting to the news of his prize, Hinton credited his former supervisor, the psychologist David Rumelhart, as the real pioneer of AI.

It was Rumelhart who supervised Hinton's work on neural networks and came up with the "backpropagation algorithm" - the key concept that underpins today's large generative AI models like GPT4, Gemini and Bard.

Rumelhart died in 2011 however, and Nobel Prizes are only ever awarded to living scientific pioneers.

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They will share a prize of 11 million Swedish kroner (around £810,000).

"This year's two Nobel Laureates in physics have used tools from physics to develop methods that are the foundation of today's powerful machine learning," said the academy in a statement.

"Machine learning based on artificial neural networks is currently revolutionising science, engineering and daily life."

The Nobel prizes are considered some of the most prestigious awards in the world and were created in the will of Alfred Nobel, a Swedish scientist who invented dynamite.

Albert Einstein and Niels Bohr, who helped modern understanding of atomic structure, both received the Nobel prize for physics in the past.

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Last year it was awarded to Pierre Agostini, Ferenc Krausz and Anne L'Huillier for their work in creating ultra-short pulses of light that can show changes within atoms, potentially improving the detection of diseases.

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Physics is the second Nobel to be awarded this week.

Yesterday, two American scientists who discovered how "microRNA" controls the decoding of genetic information in living organisms received the Nobel prize for medicine.