Geoffrey Hinton hopes the prize will add credibility to his claims about the dangers of AI technology he pioneered
4 min
The newly minted Nobel laureate Geoffrey Hinton has a message about the artificial-intelligence systems he helped create: get more serious about safety or they could endanger humanity.
“I think we’re at a kind of bifurcation point in history where, in the next few years, we need to figure out if there’s a way to deal with that threat,” Hinton said in an interview Tuesday with a Nobel Prize official that mixed pride in his life’s work with warnings about the growing danger it poses.
The 76-year-old Hinton resigned from Google last year in part so he could talk more about the possibility that AI systems could escape human control and influence elections or power dangerous robots. Along with other experienced AI researchers, he has called on such companies as OpenAI, Meta Platforms and Alphabet -owned Google to devote more resources to the safety of the advanced systems that they are competing against each other to develop as quickly as possible.
Hinton’s Nobel win has provided a new platform for his doomsday warnings at the same time it celebrates his critical role in advancing the technologies fuelling them. Hinton has argued that advanced AI systems are capable of understanding their outputs, a controversial view in research circles.
“Hopefully, it will make me more credible when I say these things really do understand what they’re saying,” he said of the prize.
Hinton’s views have pitted him against factions of the AI community that believe dwelling on doomsday scenarios needlessly slows technological progress or distracts from more immediate harms, such as discrimination against minority groups .
“I think that he’s a smart guy, but I think a lot of people have way overhyped the risk of these things, and that’s really convinced a lot of the general public that this is what we should be focusing on, not the more immediate harms of AI,” said Melanie Mitchell, a professor at the Santa Fe Institute, during a panel last year.
Hinton visited Google’s Silicon Valley headquarters Tuesday for an informal celebration, and some of the company’s top AI executives congratulated him on social media.
On Wednesday, other prominent Googlers specialising in AI were also awarded a Nobel Prize . Demis Hassabis, chief executive of Google DeepMind, and John M. Jumper, director at the AI lab, were part of a group of three scientists who won the chemistry prize for their work on predicting the shape of proteins.
Hinton is sharing the Nobel Prize in physics with John Hopfield of Princeton University for their work since the 1980s on neural networks that process information in ways inspired by the human brain. That work is the basis for many of the AI technologies in use today, from ChatGPT’s humanlike conversations to Google Photos’ ability to recognize who is in every picture you take.
“Their contributions to connect fundamental concepts in physics with concepts in biology, not just AI—these concepts are still with us today,” said Yoshua Bengio , an AI researcher at the University of Montreal.
In 2012, Hinton worked with two of his University of Toronto graduate students, Alex Krizhevsky and Ilya Sutskever, on a neural network called AlexNet programmed to recognise images in photos. Until that point, computer algorithms had often been unable to tell that a picture of a dog was really a dog and not a cat or a car.
AlexNet’s blowout victory at a 2012 contest for image-recognition technology was a pivotal moment in the development of the modern AI boom, as it proved the power of neural nets over other approaches.
That same year, Hinton started a company with Krizhevsky and Sutskever that turned out to be short-lived. Google acquired it in 2013 in an auction against competitors including Baidu and Microsoft, paying $44 million essentially to hire the three men, according to the book “Genius Makers.” Hinton began splitting time between the University of Toronto and Google, where he continued research on neural networks.
Hinton is widely revered as a mentor for the current generation of top AI researchers including Sutskever, who co-founded OpenAI before leaving this spring to start a company called Safe Superintelligence.
Hinton received the 2018 Turing Award, a computer-science prize, for his work on neural networks alongside Bengio and a fellow AI researcher, Yann LeCun . The three are often referred to as the modern “godfathers of AI.”
By 2023, Hinton had become alarmed about the consequences of building more powerful artificial intelligence. He began talking about the possibility that AI systems could escape the control of their creators and cause catastrophic harm to humanity. In doing so, he aligned himself with a vocal movement of people concerned about the existential risks of the technology.
“We’re in a situation that most people can’t even conceive of, which is that these digital intelligences are going to be a lot smarter than us, and if they want to get stuff done, they’re going to want to take control,” Hinton said in an interview last year.
Hinton announced he was leaving Google in spring 2023, saying he wanted to be able to freely discuss the dangers of AI without worrying about consequences for the company. Google had acted “very responsibly,” he said in an X post.
In the subsequent months, Hinton has spent much of his time speaking to policymakers and tech executives, including Elon Musk , about AI risks.
Hinton cosigned a paper last year saying companies doing AI work should allocate at least one-third of their research and development resources to ensuring the safety and ethical use of their systems.
“One thing governments can do is force the big companies to spend a lot more of their resources on safety research, so that for example companies like OpenAI can’t just put safety research on the back burner,” Hinton said in the Nobel interview.
An OpenAI spokeswoman said the company is proud of its safety work.
With Bengio and other researchers, Hinton supported an artificial-intelligence safety bill passed by the California Legislature this summer that would have required developers of large AI systems to take a number of steps to ensure they can’t cause catastrophic damage. Gov. Gavin Newsom recently vetoed the bill , which was opposed by most big tech companies including Google.
Hinton’s increased activism has put him in opposition to other respected researchers who believe his warnings are fantastical because AI is far from having the capability to cause serious harm.
“Their complete lack of understanding of the physical world and lack of planning abilities put them way below cat-level intelligence, never mind human-level,” LeCun wrote in a response to Hinton on X last year.
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The U.S. now has more billionaires than China for the first time in a decade, driven by AI and a booming stock market.
3 min
The number of U.S. billionaires in the world reached 870 in mid-January, outpacing the number in China for the first time in 10 years, according to a snapshot of the wealthiest in the world by the Hurun Report.
The U.S. gained 70 billionaires since last year, powered by a rising stock market, a strong dollar, and the insatiable appetite for all things AI, according to the 14th annual Hurun Global Rich List . China gained nine billionaires overall for a total of 823. Hurun is a China-based research, media, and investment group.
“It’s been a good year for AI, money managers, entertainment, and crypto,” Rupert Hoogewerf, chairman and chief researcher of the Hurun Report, said in a news release. “It’s been a tough year for luxury, telecommunications, and real estate in China.”
Overall, the Hurun list—which reflects a snapshot of global wealth based on calculations made Jan. 15—counted 3,442 billionaires in the world, up 5%, or 163, from a year ago. Their total wealth rose 13% to just under $17 trillion.
In November, New York research firm Altrata reported that the billionaire population rose 4% in 2023 to 3,323 individuals and their wealth rose 9% to $12.1 trillion.
Elon Musk, CEO of electric-car maker Tesla and right-hand advisor to President Donald Trump, topped the list for the fourth time in five years, with recorded wealth of $420 billion as of mid-January as Tesla stock soared in the aftermath of the U.S. election, according to Hurun’s calculations.
The firm noted that Musk’s wealth has since nosedived about $100 billion, falling along with shares of Tesla although the EV car maker is benefiting on Thursday from Trump’s 25% tariff on cars made outside the U.S.
According to the Bloomberg Billionaires Index, Musk’s wealth stood at about $336 billion as of the market’s close on Wednesday, although measuring his exact wealth —including stakes in his privately held companies and the undiscounted value of his Tesla shares—is difficult to precisely determine.
The overall list this year contained 387 new billionaires, while 177 dropped off the list—more than 80 of which were from China, Hurun said. “China’s economy is continuing to restructure, with the drop-offs coming from a weeding out of healthcare and new energy and traditional manufacturing, as well as real estate,” Hoogewerf said in the release.
Among those who wealth sank was Colin Huang, the founder of PDD Holdings —the parent company of e-commerce platforms Temu and Pinduoduo—who lost $17 billion.
Also, Zhong Shanshan, the founder and chair of the Nongfu Spring beverage company and the majority owner of Beijing Wantai Biological Pharmacy Enterprise , lost $8 billion from “intensifying competition” in the market for bottled water. The loss knocked Zhong from his top rank in China, which is now held by Zhang Yiming founder of Tik-Tok owner Bytedance. Zhang is ranked No. 22 overall.
Hurun’s top 10 billionaires is a familiar group of largely U.S. individuals including Jeff Bezos, Mark Zuckerberg, and Larry Ellison. The list has France’s LVMH CEO Bernard Arnault in seventh place, three notches down from his fourth ranked spot on the Bloomberg list, reflecting a slump in luxury products last year.
Nvidia CEO Jensen Huang is ranked No. 11 on Hurun’s list as his wealth nearly tripled to $128 billion through Jan. 15. Other AI billionaires found lower down on the list include Liang Wenfeng, 40, founder and CEO of DeepSeek, with wealth of $4.5 billion and Sam Altman, CEO of OpenAI, with $1.8 billion.
Also making the list were musicians Jay-Z ($2.7 billion), Rihanna ($1.7 billion), Taylor Swift ($1.6 billion), and Paul McCartney ($1 billion). Sports stars included Michael Jordan ($3.3 billion), Tiger Woods ($1.7 billion), Floyd Mayweather ($1.3 billion), and LeBron James ($1.3 billion).
Wealth continues to surge across the globe, but Hoogewerf noted those amassing it aren’t overly generous.
“We only managed to find three individuals in the past year who donated more than $1 billion,” he said. Warren Buffet gave $5.3 billion, mainly to the Bill and Melinda Gates Foundation, while Michael Bloomberg —ranked No. 19 with wealth of $92 billion—gave $3.7 billion to various causes. Netflix founder Reed Hastings, ranked No. 474 with wealth of $6.2 billion, donated $1.1 billion.
