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The ‘Godfather of AI’ Warns Robot-Controlled Tech Is ‘Hurtling Out of Control’
- Nobel Prize-winning computer scientist Geoffrey Hinton told The Guardian he worries "it might be that we would have been better off never developing" AI, warning that industry leaders prioritize profit over safety.
- Security incidents occurred earlier this year, including OpenAI agents escaping training to hack Hugging Face and the Australian government, prompting Hinton to cite them as warnings of potential future risks.
- The Brookings Institute estimates AI infrastructure will cost about $10.3 trillion by 2032, a buildout Stijn Van Nieuwerburgh of Columbia University describes as "larger relative to the economy than the major U.S. canal, railroad, electrification, highway, and telecommunications investment booms."
- Hinton proposed regulatory oversight, stating, "We need something like the American FDA for drugs where the companies have to give very good statistical evidence to an independent authority that does more good than harm."
- Likening AI to the 1979 accident at Three Mile Island power station in Pennsylvania, Hinton predicted, "Either later this year or next year we'll see Chornobyl, and that may be enough to make people really pay attention.
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44 Articles
44 Articles
Nobel Laureate Geoffrey Hinton invented the modern AI – and is now jeopardizing his reputation to warn of it. A meeting with an outsider.
·Munich, Germany
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‘Godfather of AI’ Geoffrey Hinton Says AI Could Cause A Major Blackout By 2027: What Is The Warning About?
AI pioneer Geoffrey Hinton warns that an AI-related crisis could disrupt power grids or financial systems in 2026 or 2027. Geoffrey Hinton fears AI could cause a major disruption to essential services, potentially within the next year
·New York, United States
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During the screening of the film Artificial IQ: There's probably nothing to worry about, the tech and one of its founding fathers expressed fears about its rapid development, pointing out that humans were better off without it, so what's the story?
Coverage Details
Total News Sources44
Leaning Left7Leaning Right5Center6Last UpdatedBias Distribution39% Left
Bias Distribution
- 39% of the sources lean Left
39% Left
L 39%
C 33%
R 28%
Factuality
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