‘Godfather of A.I.’ leaves Google after a decade to warn society of technology he’s touted
Artificial intelligence pioneer Geoffrey Hinton speaks at the Thomson Reuters Financial and Risk Summit in Toronto, December 4, 2017.
Mark Blinch | Reuters
Geoffrey Hinton, known as “The Godfather of AI,” received his Ph.D. in artificial intelligence 45 years ago and has remained one of the most respected voices in the field.
For the past decade Hinton worked part-time at Google, between the company’s Silicon Valley headquarters and Toronto. But he has quit the internet giant, and he told the New York Times that he’ll be warning the world about the potential threat of AI, which he said is coming sooner than he previously thought.
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“I thought it was 30 to 50 years or even longer away,” Hinton told the Times, in a story published Monday. “Obviously, I no longer think that.”
Hinton, who was named a 2018 Turing Award winner for conceptual and engineering breakthroughs, said he now has some regrets over his life’s work, the Times reported, citing near-term risks of AI taking jobs, and the proliferation of fake photos, videos and text that appear real to the average person.
In a statement to CNBC, Hinton said, “I now think the digital intelligences we are creating are very different from biological intelligences.”
Hinton referenced the power of GPT-4, the most-advanced large language model (LLM) from startup OpenAI, whose technology has gone viral since the chatbot ChatGPT was launched late last year. Here’s how he described what’s happening now:
“If I have 1000 digital agents who are all exact clones with identical weights, whenever one agent learns how to do something, all of them immediately know it because they share weights,” Hinton told CNBC. “Biological agents cannot do this. So collections of identical digital agents can acquire hugely more knowledge than any individual biological agent. That is why GPT-4 knows hugely more than any one person.”
Hinton was sounding the alarm even before leaving Google. In an interview with CBS News that aired in March, Hinton was asked what he thinks the “chances are of AI just wiping out humanity.” He responded, “It’s not inconceivable. That’s all I’ll say.”
Google CEO Sundar Pichai has also publicly warned of the risks of AI. He told “60 Minutes” last month that society isn’t prepared for what’s coming. At the same time, Google is showing off its own products, like self-learning robots and Bard, its ChatGPT competitor.
But when asked if “the pace of change can outstrip our ability to adapt,” Pichai downplayed the risk. “I don’t think so. We’re sort of an infinitely adaptable species,” he said.
Over the past year, Hinton has reduced his time at Google, according to an internal document viewed by CNBC. In March of 2022, he moved to 20% of full-time. Later in the year he was assigned to a new team within Brain Research. His most recent role was vice president and engineering fellow, reporting to Jeff Dean within Google Brain.
In an emailed statement to CNBC, Dean said he appreciated Hinton for “his decade of contributions at Google.”
“I’ll miss him, and I wish him well!” Dean wrote. “As one of the first companies to publish AI Principles, we remain committed to a responsible approach to AI. We’re continually learning to understand emerging risks while also innovating boldly.”
Hinton’s departure is a high-profile loss for Google Brain, the team behind much of the company’s work in AI. Several years ago, Google reportedly spent $44 million to acquire a company started by Hinton and two of his students in 2012.
His research group made major breakthroughs in deep learning that accelerated speech recognition and object classification. Their technology would help form new ways of using AI, including ChatGPT and Bard.
Google has rallied teams across the company to integrate Bard’s technology and LLMs into more products and services. Last month, the company said it would be merging Brain with DeepMind to “significantly accelerate our progress in AI.”
According to the Times, Hinton said he quit his job at Google so he could freely speak out about the risks of AI. He told the paper, “I console myself with the normal excuse: If I hadn’t done it, somebody else would have.”
Hinton tweeted on Monday, “I left so that I could talk about the dangers of AI without considering how this impacts Google. Google has acted very responsibly.”
Mustafa Hatipoglu | Anadolu | Getty Images
Visa said on Thursday that it successfully completed hundreds of AI transactions as part of a pilot program that kicked off after the company’s product event in April.
The credit card issuer and rivals across the fintech industry are racing to build tools that allow consumers to task artificial intelligence agents with completing certain transactions.
“This is going to be the year we see an enormous amount of material adoption, and consumers really starting to get comfortable in a bunch of different agentic environments,” said Rubail Birwadker, Visa’s head of growth products and partnerships, in an interview.
AI is transforming the e-commerce experience for shoppers, changing how customers purchase and browse for goods.
Mastercard said in April it was testing a feature called Agent Pay that allows AI agents to shop online for customers. Amazon began testing a “Buy For Me” offering that same month, while PayPal and Perplexity have joined forces on agentic shopping tools. Earlier in December, a survey from Visa found that nearly half of U.S. shoppers are using AI with purchases.
While the data is limited, Birwadker said the tools could be useful for consistent purchases made by consumers or events like concert tickets.
Visa said it plans to launch pilot programs in Asia and Europe next year, and is working with over 20 partners on AI agent tools.
Technology
SoftBank leads decline in Japanese tech stocks as worries over AI spending spill over to Asia
TOKYO, JAPAN – FEBRUARY 03: SoftBank Group CEO Masayoshi Son delivers a speech during an event titled “Transforming Business through AI” in Tokyo, Japan, on February 03, 2025. SoftBank and OpenAI announced that they have agreed a partnership to set up a joint venture for artificial intelligence services in Japan.
Tomohiro Ohsumi | Getty Images News | Getty Images
Japanese tech stocks took a tumble on Thursday as AI infrastructure spending worries on Wall Street crossed the ocean into the Asian markets, with AI-related stocks declining.
Softbank Group Corp was among the top losers in the benchmark Nikkei 225, falling as much as 7.25%, with the index leading losses in Asia, down 1.23%. The group pared some losses and was last trading 3% lower.
This decline comes as the tech-heavy Nasdaq Composite fell 1.81% overnight, dragged by losses in Oracle, Broadcom, Nvidia and other AI plays.
The losses in Oracle came after the Financial Times reported on Wednesday that Blue Owl Capital’s plans to finance the cloud infrastructure company’s $10 billion Michigan data center had stalled. The company last week had refuted a report that said it had delayed some projects for AI major OpenAI to 2028.
Tech-focused SoftBank has seen sharp volatility in its stock over the past month as fears over AI-related spending have gripped the market.
At the start of the year, the group had revealed plans to invest $500 billion in AI infrastructure in the U.S. along with OpenAI, Oracle and other partners, and in September it announced five new U.S. AI data center sites under Stargate, OpenAI’s overarching AI infrastructure platform.
Other Japanese tech stocks also fell. Semiconductor equipment supplier Advantest, dropped as much as 5%. Counterparts Lasertec, Renesas Electronics and Tokyo Electron declined between 3% and 4%.
Jesper Koll, expert director at Tokyo-based financial services firm Monex Group, said much of what goes into data centers, power centers, and AI hardware enablers is “Made in Japan, and can only be made in Japan.” That makes Japanese tech, especially AI-related stocks more vulnerable to any worries around U.S. tech spending.
On Wednesday, Japan’s trade numbers showed that exports of electrical machinery jumped 7.4%, and semiconductor-related exports surged 13% year on year. Koll said the U.S.-led boom in tech spending was translating into growing exports of specialized machinery and equipment.
Losses were less pronounced in South Korean chip heavyweight Samsung Electronics at 0.93%, while SK Hynix reversed course to gain 0.73%. Taiwan’s TSMC, the world’s largest contract chip manufacturer, was marginally down.
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