2024-10-08 23:55:10
Artificial Intelligence
Technology

The Double-Edged Sword of AI Innovations

Nobel laureates Geoffrey Hinton and John Hopfield, pioneers in artificial neural networks, have raised urgent alarms about the potential dangers of artificial intelligence. While their work in machine learning has revolutionized fields such as medicine, they caution that AI could surpass human control.

Hinton explicitly warns that advanced AI systems may self-program, leading to catastrophic consequences, including job displacement and threats to global security. Their groundbreaking contributions have ignited a profound debate on the ethical implications of AI, echoing historical technological revolutions.

As society stands on the brink of an AI-driven future, it is essential to navigate these innovations with caution, ensuring that human oversight remains paramount. The laureates advocate for stringent regulations on superintelligence research to mitigate these risks, highlighting the critical balance between technological advancement and humanity's safety.

mdr
8. Oktober 2024 um 16:04

AI Can Get Out of Control: Nobel Laureates in Physics Warn of the Dangers of Their Discovery

Technology
Nobel laureates Hopfield and Hinton for the foundations of machine learning with artificial neural networks. They warn of dangers, despite positive applications such as in medicine, that AI could surpass humans and get out of control. Hinton has published statements regarding AI risks.
DER SPIEGEL
8. Oktober 2024 um 17:43

Physics Nobel Prize: How a Carpenter's Apprentice Became an AI Star - DER SPIEGEL

Technology
More than 40 years ago, John Hopfield and Geoffrey Hinton triggered a revolution with the discovery of artificial neural networks, which is now being honored with the Nobel Prize in Physics. Despite the then insignificance of this work, it is today of great relevance for AI research.
New York Times - Technology
8. Oktober 2024 um 20:44

An A.I. Pioneer Reflects on His Nobel Moment in an Interview

Technology
Hopfield and Hinton, pioneers of neural networks, awarded Nobel Prize in Physics. Hinton, a British native known for dry, self-deprecating humor, previously received Turing Award, left Google, warned AI could destroy humanity. Hinton joked he "failed at psychology and dropped out of physics". The New York Times reached Hinton shortly after his Nobel win.
zeit
8. Oktober 2024 um 18:47

Nobel Prize in Physics: When Machines Started to Learn Themselves

Technology
For centuries, the division of labor was clear: Humans think, machines execute. But now humans possess a technology that could turn the tables: Machines seem to think, better than humans. This year's Nobel Prize in Physics is about machine learning, artificial intelligence, which is changing the lives of billions of people.
CW

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