The man widely known as the godfather of artificial intelligence (AI) has announced his resignation from Google, saying the rapidly evolving technology sector poses too many risks to humanity and he can no longer contribute to the measure.
Jeffrey Hinton (Jeffrey Hinton), 75, announced his resignation from Google in a statement to the New York Times, saying that today he regrets the work he has done.
He told the BBC that some of the risks of chatbots such as ChatGPT are “very scary”.
“I resigned so I could talk about these risks without having to think about how it might affect Google,” the scientist wrote on Twitter, expressing his desire to speak publicly about the issue without self-censorship.
“Right now, they are not smarter than us (including chatbots) as far as I can tell. But I think they might be soon.”
doctor. Hinton also admitted that his age played a role in his decision to leave tech giant Google, telling the BBC: “I’m 75 so it’s time to retire.”
Hinton’s pioneering research in machine learning and neural networks paved the way for today’s AI systems such as ChatGPT.
But a British-Canadian cognitive psychologist and computer scientist told the BBC that chatbots may soon surpass the level of information held by the human brain.
“Right now, what we’re seeing is that GPT-4 overshadows a person in the amount of general knowledge they have, and overwhelms them a lot. In terms of logic, it’s not very good (i.e. a chatbot), even though it does do basic reasoning.
“And given the rate of progress, we expect things to move very quickly. So we have to worry about that.”
In an article for The New York Times, Geoffrey Hinton referred to “bad actors” who would try to use AI for “bad things”.
Asked by the BBC about this, he replied: “It’s just the worst case scenario.”
He added, “I’ve come to the conclusion that the kind of intelligence we develop is very different from the intelligence we[humans]have.”
«We are biological systems, and these are digital systems. The big difference is that with digital systems, you have multiple copies of the same thing, the same model of the world.
And they can learn all these copies separately, but share their knowledge directly with each other. So it’s like having 10,000 people and whenever someone learns something, they all learn it automatically. Thus these chatbots can know much more than any human. “, Write.
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