Geoffrey Hinton, an award-winning computer scientist known as the “godfather of artificial intelligence,” is having some serious second thoughts about the fruits of his labors.
Hinton helped pioneer AI technologies critical to a new generation of highly capable chatbotssuch as ChatGPT. But in recent interviews, he says that he recently resigned a high-profile job at Google specifically to share his concerns that unchecked AI development could pose danger to humanity.
“I have suddenly switched my views on whether these things are going to be more intelligent than us,” he said in an interview with MIT Technology Review. “I think they’re very close to it now and they will be much more intelligent than us in the future.... How do we survive that?”
Hinton is not alone in his concerns. Shortly after the Microsoft-backed startup OpenAI released its latest AI model called GPT-4 in March, more than 1,000 researchers and technologists signed a letter calling for a six-month pause on AI development because, they said, it poses “profound risks to society and humanity.”
Also read: AI 'godfather' Geoffrey quits Google, warns of dangers
Here’s a look at Hinton’s biggest concerns about the future of AI ... and humanity.
IT’S ALL ABOUT THE NEURAL NETWORKS
Our human brains can solve calculus equations, drive cars and keep track of the characters in “Succession” thanks to their native talent for organizing and storing information and reasoning out solutions to thorny problems. The roughly 86 billion neurons packed into our skulls — and, more important, the 100 trillion connections those neurons forge among themselves — make that possible.
By contrast, the technology underlying ChatGPT features between 500 billion and a trillion connections, Hinton said in the interview. While that would seem to put it at a major disadvantage relative to us, Hinton notes that GPT-4, the latest AI model from OpenAI, knows “hundreds of times more” than any single human. Maybe, he suggests, it has a “much better learning algorithm” than we do, making it more efficient at cognitive tasks.
AI MAY ALREADY BE SMARTER THAN US
Researchers have long noted that artificial neural networks take much more time to absorb and apply new knowledge than people do, since training them requires tremendous amounts of both energy and data. That’s no longer the case, Hinton argues, noting that systems like GPT-4 can learn new things very quickly once properly trained by researchers. That’s not unlike the way a trained professional physicist can wrap her brain around new experimental findings much more quickly than a typical high school science student could.
That leads Hinton to the conclusion that AI systems might already be outsmarting us. Not only can AI systems learn things faster, he notes, they can also share copies of their knowledge with each other almost instantly.
“It’s a completely different form of intelligence,” he told the publication. “A new and better form of intelligence.”
