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. 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. Maybe, he suggests, it has a “much better learning algorithm” than we do, making it more efficient at cognitive tasks. 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. The roughly 86 billion neurons packed into our skulls - and, more important, the 100 trillion connections those neurons forge among themselves - make that possible.īy contrast, the technology underlying ChatGPT features between 500 billion and a trillion connections, Hinton said in the interview.
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. Here’s a look at Hinton’s biggest concerns about the future of AI.
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