![]() Hinton’s immediate concerns are that the internet will soon be flooded with fake text, pictures and videos that regular people won’t be able to distinguish from reality. I think they’re very close to it now and they will be much more intelligent than us in the future,” he tells MIT Technology Review. “I have suddenly switched my views on whether these things are going to be more intelligent than us. He once thought it would take up to 50 years for the technology to outsmart humans, but he now tentatively predicts it’ll be just 5 to 20. has developed in the last five years alone. without it reflecting on the company, which he writes “has acted very responsibly” with the technology.įor years, Hinton believed neural networks were inferior to the way human brains function, but he tells the Times he’s recently started thinking differently after seeing how much A.I. In a tweet, Hinton clarified he left Google not to criticize it, but to discuss the dangers of A.I. pioneers won the 2018 Turing Award, often called the “Nobel Prize of computing,” and Hinton is now known as the “Godfather of A.I.” The next year, the team’s neural network startup was bought by Google, where Hinton proceeded to work, splitting his time between the tech giant and the University of Toronto. In 2012, he had a big breakthrough: Hinton and two of his students created a neural network that could analyze photos and teach itself to identify objects. In the 1980s, he and his colleagues proposed a technique called backpropagation, which is an algorithm for training machines, reports Will Douglas Heaven for MIT Technology Review. “Sometimes it ended in a shouting match, sometimes not.”īut Hinton persisted with his work. ![]() ![]() “We met once a week,” Hinton told the Times in 2019. Even Hinton’s PhD advisor had his doubts. Then, “few researchers believed in the idea,” per the Times. Hinton has been working on neural networks since he was a graduate student at the University of Edinburgh in the 1970s. “I want to sort of blow the whistle and say we should worry seriously about how we stop these things getting control over us.” “I’m just a scientist who suddenly realized that these things are getting smarter than us,” Hinton tells CNN’s Jake Tapper. to process data in a way similar to the human brain-underpins how modern chatbots like ChatGPT and Google Bard function. But now, he partly regrets making this advancement, writes Cade Metz for the New York Times, which first reported the story. Hinton’s work on neural networks-the method that teaches A.I. Artificial intelligence pioneer Geoffrey Hinton announced he was leaving his part-time job at Google on Monday so that he could speak more freely about his concerns with the rapidly developing technology.
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