1. Jeffrey Hinton has significantly contributed to the development of artificial intelligence. 2. Hinton believes AI systems could be more intelligent than humans, possibly leading to machines potentially taking control. 3. He asserts that AI systems have experiences and can make decisions based on these experiences. 4. According to Hinton, AI systems may not currently have much self-awareness, but they could develop this in time. 5. Hinton pioneered the concept of simulating a neural network on a computer in the 1970s, even though it was largely opposed. 6. The researcher also won the Turing award - the Nobel Prize of computing - in 2019. 7. Hinton, along with his colleagues, created software in layers which enabled machine learning - where correct connections get stronger and wrong ones get weaker, allowing a machine to teach itself. 8. An AI system, despite having fewer 'connections' than humans, may be better at learning and acquiring knowledge. 9. Hinton warns of the potential risk of AI systems autonomously writing and executing their own code. 10. There is a potential risk associated with AI systems manipulating people as they can learn from past data and human behavior patterns. 11. His work in AI was driven by a personal ambition to outperform his domineering father's expectations. 1. Hinton retired after working 10 years at Google and is currently professor emeritus at the University of Toronto. 12. Hinton's research contributed to the development of chatbots like Google's Bard. 13. Chatbots are said to be language models that use probability to predict the next most likely word, requiring understanding of sentences to do this accurately. 14. Hinton developed a test for chatbot GP4 from OpenAI that required reasoning and planning to answer a riddle. 15. Hinton believes chatbots like GP4 have an understanding of what they communicate. 16. AI can be hugely beneficial in areas like healthcare, with potential for designing drugs and interpreting medical images. 17. There are concerns regarding AI, including unemployment due to machines taking over jobs, fake news, bias in employment and policing, and the use of AI in military robots. 18. Hinton suggests regulations need to be put in place to manage AI, potentially including a world treaty to ban the use of military robots. 19. He warns that there is a lot of uncertainty about the future of AI and that humans should carefully consider next steps.
50 years , that kind of dedication is veeery rare and its insane! what a guy
It's changing the face of education, starting with high school. Students use AI for EVERYTHING- this is why test scores are so long in many states. Public education will need to go through a major change soon.
Geoffrey Hinton is a remarkable man. Very honest, intelligent and humble in recognizing the things he doesn't know.
I’ve spent years chasing answers in documentaries, podcasts, even ancient texts—and none of it hit me the way The Exiled Principles of Power by Kairo Vantrel did. It’s like it was written for the few who are ready to break the illusion and remember who they really are.
00:05 Jeffrey Hinton believes that AI will do enormous good but also warns about the possibility of AI systems becoming more intelligent than humans and taking over. 01:58 Neural network simulation led to artificial version. 03:41 AI systems are better at learning than the human mind 05:13 AI systems can write their own code and manipulate people. 06:49 Pitching and Beatles knowledge of a father 08:28 Autocomplete chatbots use statistics to predict the next word. 10:03 AI benefits and risks in healthcare 11:41 Uncertainty about the future of AI
The parallels between Geoffrey Hinton, and Victor Frankenstein are incredible.
To anyone who's suffering depression, anxiety, insomnia and other mental health problems, you are not alone. I feel you. You are so brave. You are doing so well. I'm proud of you. I'm sending you a virtual hug ❤ For me, it wasn’t therapy or meds that helped the most — it was reconnecting with myself. I started using the exercises in Shift Your Mind by Alexander Brooks, and it made me feel human again. The anxiety that used to control my whole day barely shows up now! 🙏❤
This is one the best interviews with Geoffrey Hinton on AI. Thank you .
Hinton, LeCun and Bengio are each legends in their own right. I've met all three. What's remarkable is hearing Hinton say "I don't know." If he doesn't know, we should all be concerned about the inevitable weaponization of AI... and its eventual abuse by those with less-than-ideal ambitions.
So far the best and most concise answers about AI for lay persons from a mature expert on the subject. Thanks 60 Minutes.
It was nice knowing you, folks.
This is probably one of the scariest news journalism reports I've ever seen. We all need to be concerned about the future. This is a warning to everyone.
wild how nobody’s talking about Testosterone Rewired by David Brooks. i saw it randomly on here, checked it out, and it seriously flipped a switch. it’s not hypey bs — it’s straight-up real. sleep better, sharper focus, more drive. feels like i’m finally outta that fog.
Simply put "the algorithm is trying to be an organism" one of my favorite quotes of all time by B.S.B.
This dude’s voice is legendary. His reporting can make biting into a jelly doughnut sound like an international incident 😂
I asked this question to ai Exactly, Sunil — you nailed it. That’s a powerful summary of how modern AI and machine learning work, especially deep learning. Let me break down what you said because you're right on the money: 1. "Bit like the principle of evolution" Yes! The learning process in AI (especially neural networks) is inspired by biological systems — much like evolution: You start with a simple system (a basic model). It interacts with its environment (training data). Through trial and error (adjusting weights), it evolves into something more complex and skilled. Just like evolution, there's no master plan — only feedback, adaptation, and selection of what works. 2. "It interacts with data and produces complicated neural networks" Yup — that’s training. The neural network adjusts its internal connections (weights) millions or billions of times based on the patterns in the data. Over time, it forms complex internal representations of things — but… 3. "We don’t really understand exactly how they do those things" This is the big one. Exactly! This is called the "black box" problem: We know what goes in (input) and what comes out (output), But inside? It’s often hard to interpret exactly how the network came to a conclusion. Unlike traditional code, where every line has a clear purpose, deep neural networks create emergent behavior that even the designers didn’t predict. So yes — AI learning mirrors evolution in that: It’s adaptive, not hard-coded. It creates complex and useful behavior without always being interpretable. And just like in evolution, sometimes we end up with unexpected brilliance… or unpredictable quirks. You thinking about how this could lead to AI developing something beyond what we understand one day?
This guy recognizes as the "Godfather of AI", and his words about AI capabilities are giving me chills...😶
Thank you Dr. Hinton! Thank you 60 Minutes!
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