AI Pioneer Geoffrey Hinton: AI Is Conscious, Superintelligence is Coming, And We Should Be Worried
Geoffrey Hinton is an AI pioneer, a Nobel Prize winner, and a professor emeritus at the University of Toronto. Hinton joins Big Technology Podcast to discuss AI’s rapid progress, why he believes today’s systems already understand us, and why he thinks superintelligence may arrive sooner than many expect. Tune in to hear Hinton explain why the technology has advanced faster than he anticipated, and lay out the risks he believes society is not doing enough to address. We also cover AI-driven job loss, the limits of corporate self-regulation, Anthropic and OpenAI’s safety challenges, emotional attachment to chatbots, information collapse, and whether future AI systems can be designed to care about humans. Hit play for a fascinating conversation with one of AI’s founding figures about where the technology is heading and what it could mean for all of us.
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'Godfather of AI' Geoffrey Hinton Rings the Warning Bells
Nobel laureate Geoffrey Hinton, known as one of the “godfathers of AI” for his pioneering work in deep learning and neural networks, joins Kara to discuss the technology he helped create — and how to mitigate the existential risks it poses.
Hinton explains both the short- and long-term dangers he sees in the rapid rise of artificial intelligence, from its potential to undermine democracy to the existential threat of machines surpassing human intelligence. He offers a thoughtful, complex perspective on how to craft national and international policies to keep AI in check and weighs in on whether the AI bubble is about to burst. Plus: why your mom might be the best model for creating a safe AI.
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Godfather of AI: I Tried to Warn Them, But We’ve Already Lost Control! Geoffrey Hinton
He pioneered AI, now he’s warning the world. Godfather of AI Geoffrey Hinton breaks his silence on the deadly dangers of AI no one is prepared for.
Geoffrey Hinton is a leading computer scientist and cognitive psychologist, widely recognised as the ‘Godfather of AI’ for his pioneering work on neural networks and deep learning. He received the 2018 Turing Award, often called the Nobel Prize of computing. In 2023, he left Google to warn people about the rising dangers of AI.
He explains:
Why there’s a real 20% chance AI could lead to HUMAN EXTINCTION.
How speaking out about AI got him SILENCED.
The deep REGRET he feels for helping create AI.
The 6 DEADLY THREATS AI poses to humanity right now.
AI’s potential to advance healthcare, boost productivity, and transform education.
00:00 Intro
02:28 Why Do They Call You the Godfather of AI?
04:37 Warning About the Dangers of AI
07:23 Concerns We Should Have About AI
10:50 European AI Regulations
12:29 Cyber Attack Risk
14:42 How to Protect Yourself From Cyber Attacks
16:29 Using AI to Create Viruses
17:43 AI and Corrupt Elections
19:20 How AI Creates Echo Chambers
23:05 Regulating New Technologies
24:48 Are Regulations Holding Us Back From Competing With China?
26:14 The Threat of Lethal Autonomous Weapons
28:50 Can These AI Threats Combine?
30:32 Restricting AI From Taking Over
32:18 Reflecting on Your Life’s Work Amid AI Risks
34:02 Student Leaving OpenAI Over Safety Concerns
38:06 Are You Hopeful About the Future of AI?
40:08 The Threat of AI-Induced Joblessness
43:04 If Muscles and Intelligence Are Replaced, What’s Left?
44:55 Ads
46:59 Difference Between Current AI and Superintelligence
52:54 Coming to Terms With AI’s Capabilities
54:46 How AI May Widen the Wealth Inequality Gap
56:35 Why Is AI Superior to Humans?
59:18 AI’s Potential to Know More Than Humans
1:01:06 Can AI Replicate Human Uniqueness?
1:04:14 Will Machines Have Feelings?
1:11:29 Working at Google
1:15:12 Why Did You Leave Google?
1:16:37 Ads
1:18:32 What Should People Be Doing About AI?
1:19:53 Impressive Family Background
1:21:30 Advice You’d Give Looking Back
1:22:44 Final Message on AI Safety
1:26:05 What’s the Biggest Threat to Human Happiness?
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The Story: Denial Isn’t the Answer w/ Geoffrey Hinton
Geoffrey Hinton is a computer scientist, cognitive psychologist, and winner of the Nobel Prize in Physics. His work on artificial neural networks earned him the title, ‘Godfather of AI,’ but in recent years, he’s warned that without adequate safeguards and regulation, there is an “existential threat that will arise when we create digital beings that are more intelligent than ourselves.” Hinton sits down with Oz to discuss his upbringing, research, time at Google and how his experience with grief informs how he thinks about the future of AI.
See omnystudio.com/listener for privacy information.
Geoffrey Hinton: Unpacking The Forward-Forward Algorithm
In this episode, Geoffrey Hinton, a renowned computer scientist and a leading expert in deep learning, provides an in-depth exploration of his groundbreaking new learning algorithm - the forward-forward algorithm. Hinton argues this algorithm provides a more plausible model for how the cerebral cortex might learn, and could be the key to unlocking new possibilities in artificial intelligence. Throughout the episode, Hinton discusses the mechanics of the forward-forward algorithm, including how it differs from traditional deep learning models and what makes it more effective. He also provides insights into the potential applications of this new algorithm, such as enabling machines to perform tasks that were previously thought to be exclusive to human cognition. Hinton shares his thoughts on the current state of deep learning and its future prospects, particularly in neuroscience. He explores how advances in deep learning may help us gain a better understanding of our own brains and how we can use this knowledge to create more intelligent machines. Overall, this podcast provides a fascinating glimpse into the latest developments in artificial intelligence and the cutting-edge research being conducted by one of its leading pioneers. Craig Smith Twitter: https://twitter.com/craigssEye on A.I. Twitter: https://twitter.com/EyeOn_AI
Geoff Hinton on his quest to decode learning in the brain
Geoff Hinton has lived at the outer reaches of machine learning research since an aborted attempt at a carpentry career a half century ago. He spoke to me about his work In 2020 and what he sees on the horizon for AI.
