The Mysterious Math Behind LLMs - Anil Ananthaswamy - #537
Into the Impossible With Brian Keating
Brian Keating
4.7 • 1.1K Ratings
🗓️ 23 January 2026
⏱️ 69 minutes
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| 0:00.0 | Olivia Culpo here to tell you all about the launch of the new Abercrombie spring denim collection, |
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| 0:57.0 | What of the most powerful AI systems we've ever built are succeeding for reasons we still don't understand? |
| 1:04.0 | And worse, they may succeed for reasons that might lock us in for the wrong future for humanity. |
| 1:09.0 | Today's guest is Anil Ananthaswamy, an award-winning |
| 1:13.5 | science writer and one of the clearest thinkers on the mathematical foundations of machine |
| 1:17.8 | learning. In this conversation, we're not just talking about new demos or incremental improvements |
| 1:23.0 | or dates on new models being released. We're asking even harder questions. Why does the mathematics |
| 1:28.3 | of machine learning work at all? How do these models succeed when they suffer from problems |
| 1:33.8 | like overparameterization and lack of input training data? Are large language models revealing |
| 1:39.0 | deep structure? Or are they just producing very convincing illusions and causing us to face an increasingly AI slop-driven future? |
| 1:47.2 | Thank you so much for joining us all the way from Vangelore. This is so exciting. |
| 1:51.1 | Well, Brian, thank you very much for having me. It's a pleasure. |
| 1:54.0 | It's really a wonderful book. We're going to judge the book by its cover, as I like to do later on. |
| 2:00.4 | It's entitled Why Machines Learn? |
| 2:02.8 | And the first question I want to ask you, Anil, is I was taught as a physicist, you can never ask why questions. |
| 2:08.5 | That's the first word of your title. |
| 2:11.0 | What made you want to explore why and not how or what machines learn instead of why. |
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