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Summary
Geoffrey Everest Hinton (born 6 December 1947) is a British-Canadian computer scientist, cognitive scientist, cognitive psychologist, and Nobel laureate in physics, known for his work on artificial neural networks, which earned him the title “the Godfather of AI”.
Hinton is University Professor Emeritus at the University of Toronto. From 2013 to 2023, he divided his time working for Google (Google Brain) and the University of Toronto before publicly announcing his departure from Google in May 2023, citing concerns about the many risks of artificial intelligence (AI) technology. In 2017, he co-founded and became the chief scientific advisor of the Vector Institute in Toronto.
Source: Wikipedia
Why The “Godfather of AI” Now Fears His Own Creation
Curt Jaimungal – 31/01/2025 (32:00)Professor Geoffrey Hinton, a prominent figure in AI and 2024 Nobel Prize recipient, discusses the urgent risks posed by rapid AI advancements in today’s episode of Theories of Everything with Curt Jaimungal.
Timestamps:
00:00 The Existential Threat of AI01:25 The Speed of AI Development
07:11 The Nature of Subjective Experience
14:18 Consciousness vs Self-Consciousness
23:36 The Misunderstanding of Mental States
29:19 The Chinese Room Argument
30:47 The Rise of AI in China
37:18 The Future of AI Development
40:00 The Societal Impact of AI
47:02 Understanding and Intelligence
1:00:47 Predictions on Subjective Experience
1:05:45 The Future Landscape of AI
1:10:14 Reflections on Recognition and Impact
OnAir Post: Geoffrey Hinton
News
How confident are you that it’s preferable for America to develop AGI before China does?
Effective Altruism Forum, – February 22, 2025The belief that it’s preferable for America to develop AGI before China does seems widespread among American effective altruists. Is this belief supported by evidence, or it it just patriotism in disguise?
How would you try to convince an open-minded Chinese citizen that it really would be better for America to develop AGI first? Such a person might point out:
- Over the past 30 years, the Chinese government has done more for the flourishing of Chinese citizens than the American government has done for the flourishing of American citizens. My village growing up lacked electricity, and now I’m a software engineer! Chinese institutions are more trustworthy for promoting the future flourishing of humanity.
Govts Understand Bias And Discrimination, But Don’t Understand AI Safety
OfficeChai , – March 25, 2025Even as AI continues to grow ever-stronger, long-time AI safety voices seem to be despairing over how little governments seem concerned over its possible downsides.
Geoffrey Hinton, considered the “Godfather of AI”, has expressed deep concerns about the lack of political will to address AI safety. Hinton, who received the 2018 Turing Award for his groundbreaking work on neural networks, and the Nobel Prize in 2024, lamented the focus on more easily grasped issues like bias and discrimination, while the larger, more existential threat of uncontrolled AI goes largely unaddressed.
“The question is,” Hinton states, “are we going to be able to develop AI safely? And there seems to be not much political will to do that. People are willing to talk about things like discrimination and bias, which [are] things they understand.” Hinton says that true danger lies elsewhere. “But most people still haven’t understood that these things really do understand what they’re saying. We’re producing these alien intelligences.”
‘Godfather of AI’ shortens odds of the technology wiping out humanity over next 30 years
Guardian, – March 27, 2024Geoffrey Hinton says there is 10% to 20% chance AI will lead to human extinction in three decades, as change moves fast
The British-Canadian computer scientist often touted as a “godfather” of artificial intelligence has shortened the odds of AI wiping out humanity over the next three decades, warning the pace of change in the technology is “much faster” than expected.
Prof Geoffrey Hinton, who this year was awarded the Nobel prize in physics for his work in AI, said there was a “10% to 20%” chance that AI would lead to human extinction within the next three decades.
Previously Hinton had said there was a 10% chance of the technology triggering a catastrophic outcome for humanity.
About
Biographical Sketch
Geoffrey Hinton received his BA in Experimental Psychology from Cambridge in 1970 and his PhD in Artificial Intelligence from Edinburgh in 1978. He did postdoctoral work at Sussex University and the University of California San Diego and spent five years as a faculty member in the Computer Science department at Carnegie-Mellon University. He then became a fellow of the Canadian Institute for Advanced Research and moved to the Department of Computer Science at the University of Toronto. He spent three years from 1998 until 2001 setting up the Gatsby Computational Neuroscience Unit at University College London and then returned to the University of Toronto where he is now an emeritus distinguished professor. From 2004 until 2013 he was the director of the program on “Neural Computation and Adaptive Perception” which is funded by the Canadian Institute for Advanced Research. From 2013 to 2023 he worked half-time at Google where he became a Vice President and Engineering Fellow.Geoffrey Hinton is a fellow of the Royal Society, the Royal Society of Canada, the Association for the Advancement of Artificial Intelligence and a former president of the Cognitive Science Society. He is an honorary foreign member of the American Academy of Arts and Sciences, the US National Academy of Engineering and the US National Academy of Science. He has received honorary doctorates from the University of Edinburgh, the University of Sussex, the University of Sherbrooke and the University of Toronto. His awards include the David E. Rumelhart prize, the IJCAI award for research excellence, the Killam prize for Engineering , The NSERC Herzberg Gold Medal, the IEEE Frank Rosenblatt medal, the IEEE James Clerk Maxwell Gold medal, the NEC C&C award, the BBVA award, the Honda Prize, the Princess of Asturias Award and the ACM Turing Award.
Geoffrey Hinton designs machine learning algorithms. His aim is to discover a learning procedure that is efficient at finding complex structure in large, high-dimensional datasets and to show that this is how the brain learns to see. He was one of the researchers who introduced the back-propagation algorithm and the first to use backpropagation for learning word embeddings. His other contributions to neural network research include Boltzmann machines, distributed representations, time-delay neural nets, mixtures of experts, variational learning, products of experts and deep belief nets. His research group in Toronto made major breakthroughs in deep learning that have revolutionized speech recognition and object classification.
Source: University of Toronto
Web Links
Videos
Nobel Prize lecture
January 31, 2025 (32:00)
By: Nobel PrizeGeoffrey Hinton delivered his Nobel Prize lecture “Boltzmann Machines” on 8 December 2024 at the Aula Magna, Stockholm University. He was introduced by Professor Ellen Moons, Chair of the Nobel Committee for Physics.
The Nobel Prize in Physics 2024 was awarded jointly to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks”.
Nobel Prize
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Wikipedia
[rdp-wiki-embed url=’https://en.wikipedia.org/wiki/Geoffrey_Hinton’%5D
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