Why the ‘Godfather of AI’s’ warnings about AI are getting serious attention now
Geoffrey Hinton’s work on artificial neural networks made him a respected figure in the deep learning community — his warnings about AI should be taken seriously
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As the AI industry continues to evolve at breakneck speed, a growing number of high-profile leaders are shaping its present and future. Names like Sam Altman (CEO of OpenAI), Elon Musk (founder of xAI), Jensen Huang (CEO of Nvidia), and Mustafa Suleyman (CEO of Microsoft AI) now dominate headlines whenever major AI news breaks.
But before today’s most visible AI executives rose to prominence, one figure was already laying the groundwork for modern artificial intelligence: Geoffrey Hinton. The British-Canadian computer scientist, cognitive scientist and psychologist is best known for his pioneering research on artificial neural networks and deep learning — the core technologies behind today’s AI systems.
Because of these foundational contributions, Hinton is widely regarded as the “Godfather of AI.” His work continues to influence the field, which is why his recent warnings about AI’s future carry significant weight and deserve careful attention.
Geoffrey Hinton earned the title “Godfather of AI” by pioneering the way today’s AI systems are built
Hinton’s arguably biggest contribution to the world of AI is tied to his development and popularization of backpropagation, which IBM defined as “a machine learning technique essential to the optimization of artificial neural networks."
Hinton also co-invented Boltzmann machines (named after Ludwig Boltzmann) with fellow neural network researcher Terrence Sejnowski in 1985. Boltzmann machines are an early neural network model that are stochastic (randomly determined)—their main application in the areas of deep machine learning and probabilistic graphical models is used for unsupervised learning, feature extraction, and complex optimization problems.
Due to Hinton’s complex AI analysis over the course of decades, his contributions to the space paved the way for today’s popular chatbots (ChatGPT, Claude, and Perplexity are among those best known) and the varied uses for other deep-learning applications.
He left Google to warn about the dangers of advanced AI
In the NYT today, Cade Metz implies that I left Google so that I could criticize Google. Actually, I left so that I could talk about the dangers of AI without considering how this impacts Google. Google has acted very responsibly.May 1, 2023
Hinton worked with Google up until May 2023, which is when he announced his resignation from his position. His reasoning for that decision? Hinton wanted to speak more freely about the imminent dangers AI presents without his comments impacting the AI work being done at Google.
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Shortly after his leave from Google, Hinton expressed his concerns to The New York Times about AI becoming smarter than humans. “The idea that this stuff could actually get smarter than people — a few people believed that,” Hinton stated. “But most people thought it was way off. And I thought it was way off. I thought it was 30 to 50 years or even longer away. Obviously, I no longer think that.”
Even though Hinton still acknowledges the benefits of his life’s work regarding AI, he also recognizes how AI has and can be misused. "It makes me very sad that I put my life into developing this stuff and that it's now extremely dangerous and people aren't taking the dangers seriously enough," Hinton said during an interview with BBC Newsnight. “ We've never been in this situation before of being able to produce things more intelligent than ourselves.
He received a high honor in 2024 by getting the Nobel Prize in Physics
The godfather of AI, Geoffrey Hinton, just won the Nobel Prize — and used his speech to warn humanity about the very technology he helped create. pic.twitter.com/iKV5dYaF4LJanuary 31, 2026
Hinton received one of his highest honors in 2024 when he was awarded the Nobel Prize in Physics “for foundational discoveries and inventions that enable machine learning with artificial neural networks.” Upon learning about being recognized for such an award, Hinton made sure to alert people that more research should be put into keeping AI under control.
“I think it’s very important right now for people to be working on the issue of how will we keep control?” Hinton noted during an interview with The Nobel Prize. “We need to put a lot of research effort into it. I think one thing governments can do is force the big companies to spend a lot more of their resources on safety research.”
Hinton also made sure to express his concerns about AI’s negative impact on the job market while he spoke to Steven Bartlett during an appearance on The Diary of a CEO podcast. “If you get a big increase in productivity, everybody should be better off,' he said. “But if you can replace lots of people by AI, then the people who get replaced will be worse off, and the company that supplies the AI will be much better off than the company that uses the AI.”
Bottom line
Geoffrey Hinton is known as one of the most respected innovators in AI. But he still makes a conscious effort to warn everyone about the current and future dangers presented by AI’s accelerating progress.
His statement to the 2021 graduating class at the Indian Institute of Technology Bombay in Mumbai encapsulates his thoughts on the worrying matter as a whole: “I believe that the rapid progress of AI is going to transform society in ways we do not fully understand and not all of the effects are going to be good.”
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Elton Jones is a longtime tech writer with a penchant for producing pieces about video games, mobile devices, headsets and now AI. Since 2011, he has applied his knowledge of those topics to compose in-depth articles for the likes of The Christian Post, Complex, TechRadar, Heavy, ONE37pm and more. Alongside his skillset as a writer and editor, Elton has also lent his talents to the world of podcasting and on-camera interviews.
Elton's curiosities take him to every corner of the web to see what's trending and what's soon to be across the ever evolving technology landscape. With a newfound appreciation for all things AI, Elton hopes to make the most complicated subjects in that area easily understandable for the uninformed and those in the know.
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