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AI’s “Godfather” Quits Google And Warns Over Tech Dangers

Post by : Hillary Musyoki

Geoffrey Hinton often called “The Godfather of Artificial Intelligence” has  quit his job at Google to speak about the dangers of the technology.

Speaking with the New York Times the founder of AI’s technology systems, said the the advances made in the field posed ‘profound risk to society and humanity.”

“Look at how it was five years ago and how it is now,” he was quoted saying the piece.

“Take the difference and propagate it forwards. That’s scary.”

Geoffrey said that the competition between tech giants is stiff, pushing companies to release new AI technologies at dangerous speeds, risking jobs and spreading misinformation.

“It is hard to se how you can prevent the bad actors from using it for bad things,” he told The New York Times.

In 2022, Google and Open AI-the company behind the famous AI chatbot ChatGPT started building AI systems using much large amounts of data than before.

The “Godfather of AI” told the Times that he believed that these systems were surpassing human intelligence in someway because of the amount of data they were analyzing.


AI’s were build to support human workers, but due to the rapid expansion of chatbots like ChatGPT jobs could be put at risk.

AI “takes away the drudge work “but “might take away more than that,” he told times.

He has also cautioned about the potential spread of misinformation created by AI, telling the Times that an average person will “not be able to know what is true anymore.”

The Times also reported that Hinton notified Google of his resignation last month.

In March , Elon Must and other tech CEO’s called for the pause in the development of AI systems to allow time to make sure they are safe.

An open letter, signed by more than 1000 people including Elon Musk and Apple’s co-founder Steve Wozniak, was issued by the release of GPT-4, a much more powerful version of the technology used by ChatGPT.

Hinton however did not sign the letter at the time, but he told the Times that scientists should not “scale this up more until they have understood whether they can control it.”

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