A paradox of learning - Many Minds
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- Title
- A paradox of learning
- Description
- <p class="p1">How do we learn? Usually from experience, of course. Maybe we visit some new place, or encounter a new tool or trick. Or perhaps we learn from someone else—from a a teacher or friend or YouTube star who relays some shiny new fact or explanation. These are the kinds of experiences you probably first think of when you think of learning. But we can also learn in another way: <em>simply by thinking</em>. Sometimes we can just set our minds to work—just let the ideas already in our heads tumble around and spark off each other—and, is if by magic, come away with a new understanding of the world. But how does this happen exactly? And does it only happen in humans? </p> <p class="p2"> </p> <p class="p1">My guest today is <a href= "https://psych.princeton.edu/people/tania-lombrozo"><span class= "s1">Dr. Tania Lombrozo</span></a>. Tania is a Professor of Psychology at Princeton University; she and her research group study learning, reasoning, explanation, belief, and more. In a <a href= "https://cognition.princeton.edu/sites/g/files/toruqf3386/files/documents/lbt.pdf"> <span class="s1">recent paper</span></a>, Tania outlines this puzzling alternative form of learning—learning by thinking, as it’s known—and presents evidence that it happens in both humans and AIs.</p> <p class="p2"> </p> <p class="p3">In this conversation, Tania and I talk about her longstanding work on explanation, and how it led her to study this less- obvious form of learning. We zoom in on four flavors of learning by thinking—learning through explanation, through simulation, through analogy, and through reasoning. We talk about the evidence that machines also learn in this way, and we consider whether animals could, too. We discuss how to resolve the paradox at the heart of "learning by thinking": how it could be that reshuffling old bits of knowledge can actually lead to new understanding. Along the way, Tania and I touch on: chain of thought prompting in LLMs, the Reddit community 'Explain Like I'm Five,’ the illusion of explanatory depth, the power of thought experiments, Darwin and Galileo, imagination and rationalization, how psychology and philosophy complement each other, and whether we can also learn—not just by thinking in our proverbial armchairs—but also by writing and talking.</p> <p class="p4"> </p> <p class="p3">So, happy 2025, friends! We've got some great stuff lined up for the coming year. If you like what we're doing with the show, we would—as ever—appreciate your support. And the main way you can support us is just by helping us get the word out—by telling a friend about us, or a colleague, or a student, or your thousands of social media followers.</p> <p class="p4"> </p> <p class="p3">Alright, without further ado, onto my conversation with Dr. Tania Lombrozo. Enjoy!</p> <p class="p4"> </p> <p class="p3">A transcript of this episode will be available soon.</p> <p class="p4"> </p> <p class="p3"><span class="s2"><em>Notes and links</em></span></p> <p class="p3">3:30 – An influential early <a href= "https://proceedings.neurips.cc/paper_files/paper/2022/file/9d5609613524ecf4f15af0f7b31abca4-Paper-Conference.pdf"> <span class="s1">paper</span></a> on “chain-of-thought prompting” in Large Language Models. A <a href= "https://arxiv.org/pdf/2410.21333">recent preprint</a> by a team, including Dr. Lombrozo, exploring the cases where “chain-of-thought prompting” actually impairs performs in LLMs.</p> <p class="p3">8:00 – For some of Dr. Lombrozo’s important earlier work on explanation, see <a href= "https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=98aeefd7f13969b0e7cbf8c3603f416b3f2848a0"> <span class="s1">here</span></a> and <a href= "https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=77a5915693b0f8a2016b53d60ff559d2da589d16"> <span class="s1">here</span></a>.</p> <p class="p3">11:15 – The Reddit community ‘<a href= "https://www.reddit.com/r/explainlikeimfive/?rdt=62939"><span class="s1">Explain Like I’m Five</span></a>.’</p> <p class="p3">13:00 – An <a
- Publication Date
- 2025-01-09T00:05:00+00:00
- Status
- completed
- Website
- https://manyminds.libsyn.com/a-paradox-of-learning
- Length
- 66:41
- File
- /podcasts/Many Minds/1736381100-4969.mp3
- Size
- 54.86 MB
- Bitrate
- 112-VBR
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- 1
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