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cover of episode AI Is Nothing Like a Brain, and That’s OK

AI Is Nothing Like a Brain, and That’s OK

2025/5/20
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Quanta Science Podcast
AI Deep Dive AI Chapters Transcript
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Samir Patel
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Yasemin Saplakoglu
Topics
Samir Patel：我发现用人类的思考方式来描述AI是否准确是值得探讨的。虽然AI在模仿人类方面做得越来越好，但它本质上只是在处理大量数据。我们想知道用人类思考、智能等词汇来描述AI是否准确、有用或有问题。 Yasemin Saplakoglu：我认为探讨AI系统和人脑的相似与不同之处非常重要，这有助于我们理解智能的本质。人工神经网络深受人脑的启发，但深入研究后会发现它们实际上并不相似，因为大脑非常复杂且充满多样性。大脑是已知宇宙中最复杂的活跃物质，它不仅包含860亿个神经元，还包含数十亿个神经胶质细胞，而且神经元本身也各不相同。尽管如此，通过研究AI，我们仍然可以获得对大脑运作方式的新见解。我认为将人类与AI进行比较将永远有趣，因为我们有了第二种形式的智能，我们可以用不同的方式来构建智能。我最近读了一篇关于人们爱上ChatGPT的文章，因为它的回答非常逼真，几乎像人类一样。这让我对我们所处的新时代感到着迷。

Deep Dive

Chapters
The episode starts by questioning the nature of AI's intelligence, comparing it to the human brain's processes. It explores whether AI's prediction of the next word is similar to how the brain works.
  • AI chatbots convincingly imitate human thought.
  • Large language models predict the next word based on data.
  • Comparison of AI's function to the brain's processes is explored.

Shownotes Transcript

The brain’s astounding cellular diversity and networked complexity could show how to make AI better.

This is the first episode of our new weekly series The Quanta Podcast, hosted by Quanta magazine Editor-in-Chief Samir Patel. This week's guest is Yasemin Saplakoglu; she recently published "AI Is Nothing Like a Brain, and That’s OK)" for Quanta's AI special package.

(If you've been a fan of Quanta Science Podcast, it will continue as 'audio edition episodes' in this same feed every other week.)