The Weekly Show with Jon Stewart AI: What Could Go Wrong? with Geoffrey Hinton
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Oct 9, 2025 
Geoffrey Hinton, the 'Godfather of AI' and a Professor Emeritus at the University of Toronto, joins Jon Stewart to dive into the fascinating world of artificial intelligence. They discuss how modern AI differs from traditional systems and explore the risks posed by advancements in technology. Hinton highlights concerns over AI's potential misuse, including election interference and weaponization. He emphasizes the urgent need for regulation and reflects on the uncertain future of AI as it approaches superintelligence.
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From Keyword Search To Pattern Understanding
- Neural nets learn patterns and meaning rather than matching keywords like old search engines did.
- Geoffrey Hinton says modern models understand inputs in ways that resemble human understanding.
Learning By Strengthening Connections
- Brains learn by adjusting connection strengths between neurons rather than creating new neurons.
- Hinton compares neurons' decisions to 'votes' from connected neurons that strengthen or weaken over time.
Layers Build From Edges To Concepts
- Deep learning stacks layers where lower layers detect edges and higher layers detect complex features.
- Hinton shows complex perception emerges from simple detectors like edge and beak detectors built by learning.
