Geoffrey Hinton, the scientist often called the “Godfather of AI,” has warned that artificial intelligence could eliminate ...
1don MSNOpinion
‘Godfather of AI’ Geoffrey Hinton on AI wiping millions of jobs: Problem ultimately is not due to AI itself, but how we ...
AI pioneer Geoffrey Hinton warns that artificial intelligence could eliminate millions of jobs, but the real danger stems ...
Godfather of AI Geoffrey Hinton says AI firms bet on job replacement for profits. Tech giants to boost AI spending to $420B ...
A year after winning the Nobel Prize for his work related to machine learning, Geoffrey Hinton, the "Godfather of AI," is ...
Asked if he would stop AI development altogether if he could, Geoffrey Hinton said, "I don't know, it's not like nuclear weapons, which are only good for bad things." ...
Modern Engineering Marvels on MSN
Geoffrey Hinton Reveals AI’s Profit Path Depends on Labor Replacement
The most unsettling truth about artificial intelligence’s economic future is that profitability, at least for the largest ...
"I think the big companies are betting on it causing massive job replacement by AI, because that's where the big money is ...
Irish Examiner on MSN
Climate change a bigger threat to humanity than 'science fiction' predictions on AI, UCC scientist says
Barry O’Sullivan, a professor at University College Cork’s School of Computer Science, believes it is 'foolhardy' to think AI is anywhere near being capable of always successfully completing even ...
The Cool Down on MSN
'Godfather of AI' makes disturbing claim about the future of human labor: 'It's a difficult decision'
"It’s not like nuclear weapons, which are only good for bad things." 'Godfather of AI' makes disturbing claim about the ...
Since ChatGPT’s rise, job postings across the U.S. have fallen by about 32%, according to data from the Federal Reserve, as ...
Humanities scholars, artists, authors and computer scientists recently came together at the University of Toronto to explore ...
Smithsonian Magazine on MSN
Computers Are Getting Much Better at Image Recognition
The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...
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