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When you ask an LLM like ChatGPT or Claude a question, the model goes through its massive amount of training data and guesses the answer by mathematically predicting the word most likely to appear next in a sentence.
This model, experts say, will not work well for technology designed to navigate the physical world. Something like a robot that works in a warehouse will instead require a “world model” that can understand spatial surroundings, like the stuff we walk by or bang into.
But what is a world model, exactly? And how do you train AI to recognize what the real world looks like? Host Ira Flatow checks in with tech journalist Joanna Stern, who’s seen the early days of these models up close, even in her own home.
Then, we check in on the math world, where frontier AI models have made meaningful progress on decades-old problems. Mathematician Emily Riehl gives us the big picture on how significant these results actually are.
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Segment Guests
Joanna Stern
Joanna Stern is a tech journalist who writes newsletters and creates videos for New Things Media.
Emily Riehl
Dr. Emily Riehl is a professor of mathematics at Johns Hopkins University in Baltimore, Maryland.
Segment Transcript
The transcript is being processed. It will be available 2-3 days after this story’s publication date.
Meet the Producers and Host
About Dee Peterschmidt
Dee Peterschmidt is Science Friday’s audio production manager, hosted the podcast Universe of Art, and composes music for Science Friday’s podcasts. Their D&D character is a clumsy bard named Chip Chap Chopman.
About Ira Flatow
Ira Flatow is the founder and host of Science Friday. His green thumb has revived many an office plant at death’s door.