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The Joy of Why: Will AI Ever Understand Language Like Humans?

Quanta Magazine’s The Joy of Why is a special addition to WCNY Community FM. It’s hosted by Cornell mathematician Steven Strogatz and senior produced by Genevieve Sponsler (also a producer here at WCNY Community FM). Steve and the show’s co-host — cosmologist and author Janna Levin — take turns interviewing leading researchers about the great scientific and mathematical questions of our time.

On this episode: Large language models (LLMs) are becoming increasingly more impressive at creating human-like text and answering questions, but whether they can understand the meaning of the words they generate is a hotly debated issue. A big challenge is that LLMs are black boxes; they can make predictions and decisions on the order of words, but they cannot communicate the reasons for doing so.

Ellie Pavlick at Brown University is building models that could help understand how LLMs process language compared with humans. In this episode of The Joy of Why, Pavlick discusses what we know and don’t know about LLM language processing, how their processes differ from humans, and how understanding LLMs better could also help us better appreciate our own capacity for knowledge and creativity.

Listen to This Podcast, and more episodes of The Joy of Why

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