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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
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Samir Patel
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Yasemin Saplakoglu
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Yasemin Saplakoglu: 人工神经网络深受人脑启发，但两者在复杂性和多样性上存在根本差异。大脑拥有数十亿个不同类型的神经元和神经胶质细胞，通过复杂的化学过程和信息网络同时处理多种任务。尽管如此，研究人工智能与人脑的异同仍然具有重要意义，可以帮助我们改进人工智能系统，并加深对大脑工作机制的理解。我认为，探索人工智能和人脑的不同构建方式将是一件非常有趣的事情。 Samir Patel: 我认为用人类思维的方式来思考AI是否准确、有用或麻烦。我们想知道用人类思维的方式来思考AI是否准确、有用或麻烦。我们想知道用人类思维的方式来思考AI是否准确、有用或麻烦。我发现人工神经网络和实际神经网络之间的历史和关系非常复杂，而且随着时间的推移会变得更加复杂。AI可能会以完全不同的方式发展，并对思想或智能有完全不同的定义。

Deep Dive

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.)