AI pioneer leaves Google, says he regrets work

Geoffrey Hinton, one of the “godfathers” of AI, announced that he is leaving Google after more than a decade.. The British scientist, who won the 2018 Turing Prize for the study of neural networks required for the current AI boom, regretted creating the project.

Hinton gave an interview at the age of 75. New York Times last Monday (1st). Speaking candidly about the risks of artificial intelligence, reveals that he left Gigante das Buscas to have the freedom to express his opinion on the subject.

Hilton, a longtime academic, developed a neural network that self-learned to identify objects such as dogs, cats, and flowers after analyzing a bank of images. project One of the main pillars of the creation of ChatGPT chatbots by OpenAI and Google Bard.

for NYTThe scientist said he was happy with Google’s management until Microsoft announced the new Bing search engine powered by ChatGPT. Seeing that the core business was at stake, major tech gave a warning signal and sadly caused the hurried release of Bard AI.

Although I believe it is impossible to stop fierce competition, The scientist fears that artificial intelligence is contributing to the spread of misinformation. Something that could result in a world of multiple photos and fake text where no one can tell what’s true.

“I console myself with the usual excuse: If I didn’t do it, someone else would. “It’s hard to see how you can stop bad guys from using AI for bad things,” Hinton said.

AIs and the “end of humanity”

The spread of misinformation is a pressing concern for Hinton. However, in the long run, thinks artificial intelligence will wipe out jobs and possibly humanitywhen you start writing and running your own code.

The scientist reveals that he believes artificial intelligences can become smarter than humans in a period of 30 to 50 years. However, recent developments caused him to change his mind.

Google defends itself

Following Hinton’s announcement, Google’s Chief Scientist Jeff Dean said: “We remain committed to a responsible approach to AI. As we boldly innovate, we are constantly learning to understand the risks that arise.”