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Geoffrey Hinton on AI understanding

From AI Godfather Geoffrey Hinton: AI Is Conscious, Superintelligence is Coming, And We Should Be Worried · · Alex Kantrowitz

“It was a combination of two things that made me realize how dangerous this stuff is. One was seeing the chat bots, particularly ones produced by Google before OpenAI that could understand why a joke was funny. Um, that had always been a criterion for me of do they really understand? If you can understand why a joke's funny, you have to understand quite a lot. And they were very good at understanding why a joke was funny.”

Geoffrey Hinton
Professor Emeritus, University of Toronto
AI understandingAI dangerGoogleOpenAI

On , Geoffrey Hinton, Professor Emeritus at University of Toronto, spoke about AI understanding during AI Godfather Geoffrey Hinton: AI Is Conscious, Superintelligence is Coming, And We Should Be Worried on Alex Kantrowitz.

AI Godfather Geoffrey Hinton: AI Is Conscious, Superintelligence is Coming, And We Should Be Worried
Watch on YouTube at 13:42
AI Godfather Geoffrey Hinton: AI Is Conscious, Superintelligence is Coming, And We Should Be Worried
Alex Kantrowitz
Watch on YouTube at 13:42
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. Join the Big Technology AI Summit in San Francisco on June 18: ⁠https://summit.bigtechnology.com Chapters: 0:00: Intro 1:34: Hinton’s role in deep learning 3:33: AI is moving faster than expected 4:18: When superintelligence might arrive 6:00: Are we already near AGI? 9:10: Do AI systems really understand us? 10:22: Why Hinton thinks AI may be conscious 13:09: Why Hinton became worried about AI 21:58: What surprised Hinton most 26:50: Hinton revisits his radiologist prediction 35:06: AI and self-preservation 41:59: Why regulation is the steering wheel
Geoffrey Hinton

About Geoffrey Hinton

Professor Emeritus · University of Toronto

Geoffrey Hinton has stated in multiple recent interviews that he believes advanced AI systems are already conscious, a view he said he rarely emphasizes because it "puts people off from the other safety messages." He argued that chatbots demonstrate genuine understanding, dismissing the "stochastic parrot" claim as "complete nonsense" and asserting that "you can't answer a question unless you understand the question." Hinton described the current model of consciousness as "as wrong as the belief that people were designed by God" and predicted that creating digital intelligences will "completely change our view of what people are." He noted that researchers themselves use language implying awareness, such as describing a chatbot as "aware that it was being tested." Hinton has expressed unhappiness with the trajectory of AI development, citing risks including massive unemployment and the long-term danger of systems becoming much smarter than humans with no clear way for less intelligent beings to control them. He criticized large publicly traded companies, saying they have "a fiducial duty to try and maximize the profits for shareholders" rather than to avoid harming humanity, and argued that "we should be doing intelligent design of these beings, not letting the invisible hand of economic competition design them." Compared to a year or two earlier, Hinton said he is more optimistic about the possibility of designing AI systems that "care about us" or that function only

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