Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19

ℹ️ EPISODE INFO

Released

April 18, 2019

Duration

1h 8m

Channel

Lex Fridman Podcast

Watch on YouTube

▶ Open ↗

🎤 SPEAKERS

• Lex Fridman

  host

• Ian Goodfellow

  guest

🧾 EPISODE SUMMARY

In this episode of Lex Fridman Podcast, featuring Lex Fridman and Ian Goodfellow, Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19 explores ian Goodfellow on GANs, AI Limits, Security, and Future Intelligence Ian Goodfellow discusses the strengths and limits of deep learning, emphasizing its hunger for data, lack of generalization, and role as just one component in larger AI systems. He explains how he conceives deep learning as learning multi-step programs rather than static representations, and outlines how cognition and limited forms of self-awareness can plausibly emerge from current architectures. A major portion of the conversation focuses on generative adversarial networks (GANs): what they are, why they surprisingly work so well, their evolution since 2014, and their applications in generation, semi-supervised learning, privacy, and fairness. Goodfellow also highlights adversarial examples and security as critical open challenges, and speculates about what it might take to achieve more general, human-level AI systems.

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