cover of episode Demis Hassabis on AI, Game Theory, Multimodality, and the Nature of Creativity | Possible

Demis Hassabis on AI, Game Theory, Multimodality, and the Nature of Creativity | Possible

2025/4/12
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AI Deep Dive AI Chapters Transcript
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D
Demis Hassabis
R
Reid Hoffman
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我认为人工智能将会是具有变革意义的技术,它将会影响全世界,影响每一个行业和国家。正因为如此,我认为让全世界参与到人工智能的设计中至关重要,不能仅仅局限于加利福尼亚州的某个区域。我们需要更广泛的参与,不仅仅是地理位置上的,还需要来自不同学科、哲学、社会科学和经济学等领域的专家,而不是仅仅依靠科技公司和科学家来决定人工智能如何构建和使用。

Deep Dive

Chapters
Demis Hassabis recounts his journey from a child chess prodigy to an AI researcher. He discusses his epiphany at age 11 about the limitations of chess as a life pursuit and his growing fascination with AI after encountering early chess computers. He contrasts the brute-force approach of Deep Blue with the human mind's capacity for learning and generalization, highlighting the need for AI systems to learn, adapt and generalize beyond their initial programming.
  • Transition from chess prodigy to AI researcher
  • Epiphany at age 11 questioning chess as a life pursuit
  • Fascination with early chess computers and their programming
  • Contrast between Deep Blue's brute force and human intelligence
  • Importance of learning, adaptation, and generalization in AI

Shownotes Transcript

How can AI help us understand and master deeply complex systems—from the game Go, which has 10 to the power 170 possible positions a player could pursue, or proteins, which, on average, can fold in 10 to the power 300 possible ways? This week, Reid and Aria are joined by Demis Hassabis. Demis is a British artificial intelligence researcher, co-founder, and CEO of the AI company, DeepMind. Under his leadership, DeepMind developed Alpha Go, the first AI to defeat a human world champion in Go and later created AlphaFold, which solved the 50-year-old protein folding problem. He's considered one of the most influential figures in AI. Demis, Reid, and Aria discuss game theory, medicine, multimodality, and the nature of innovation and creativity.

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