A paradox of learning
Many Minds
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: simply by thinking. 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...
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From the archive: The octopus and the android
Many Minds
Happy holidays, friends! We will be back with a new episode in January 2025. In the meantime, enjoy this favorite from our archives! ----- [originally aired Jun 14, 2023] Have you heard of Octopolis? It’s a site off the coast of Australia where octopuses come together. It’s been described as a kind of underwater "settlement" or "city." Now, smart as octopuses are, they are not really known for being particularly sociable. But it seems that, given the right conditions, they can shift in that direction. So it's not a huge leap to wonder whether these kinds of cephalopod congregations could...
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Your brain on language
Many Minds
Using language is a complex business. Let's say you want to understand a sentence. You first need to parse a sequence of sounds—if the sentence is spoken—or images—if it's signed or written. You need to figure out the meanings of the individual words and then you need to put those meanings together to form a bigger whole. Of course, you also need to think about the larger context—the conversation, the person you're talking to, the kind of situation you're in. So how does the brain do all of this? Is there just one neural system that deals with language or several? Do different...
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Nestcraft
Many Minds
How do birds build their nests? By instinct, of course—at least that's what the conventional wisdom tells us. A swallow builds a swallow's nest; a robin builds a robin's nest. Every bird just follows the rigid template set down in its genes. But over the course of the last couple of decades, scientists have begun to take a closer look at nests—they've weighed and measured them, they've filmed the building process. And the conventional wisdom just doesn't hold up. These structures vary in all kinds of ways, even within a species. They're shaped by experience, by learning, by cultural...
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Animal, heal thyself
Many Minds
What happens to animals when they get sick? If they’re pets or livestock, we probably call the vet. And the vet may give them drugs or perform a procedure. But what about wild animals? Do they just languish in misery? Well, not so much. It turns out that animals—from bees to butterflies, porcupines to primates—medicate themselves. They seek out bitter plants, they treat wounds, they amputate limbs, they eat clay—the list goes on. This all raises an obvious question: How do they know to do this? How do they know what they know about healing and medicine? It also invites a related...
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The rise of machine culture
Many Minds
The machines are coming. Scratch that—they're already here: AIs that propose new combinations of ideas; chatbots that help us summarize texts or write code; algorithms that tell us who to friend or follow, what to watch or read. For a while the reach of intelligent machines may have seemed somewhat limited. But not anymore—or, at least, not for much longer. The presence of AI is growing, accelerating, and, for better or worse, human culture may never be the same. My guest today is . Iyad directs the at the Max Planck Institute for Human Development in Berlin. Iyad is a...
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How should we think about IQ?
Many Minds
IQ is, to say the least, a fraught concept. Psychologists have studied IQ—or g for “general cognitive ability”—maybe more than any other psychological construct. And they’ve learned some interesting things about it. That it's remarkably stable over the lifespan. That it really is general: people who ace one test of intellectual ability tend to ace others. And that IQs have risen markedly over the last century. At the same time, IQ seems to be met with increasing squeamishness, if not outright disdain, in many circles. It's often seen as crude, misguided, reductive—maybe a whole lot...
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Rethinking the "wood wide web"
Many Minds
Forests have always been magical places. But in the last couple decades, they seem to have gotten a little more magical. We've learned that trees are connected to each other through a vast underground network—an internet of roots and fungi often called the "wood wide web". We've learned that, through this network, trees share resources with each other. And we've learned that so-called mother trees look out for their own offspring, preferentially sharing resources with them. There's no question that this is all utterly fascinating. But what if it's also partly a fantasy? My guest today is ....
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Electric ecology
Many Minds
There's a bit of a buzz out there, right now, but maybe you haven’t noticed. It's in the water, it's in the air. It's electricity—and it's all around us, all the time, including in some places you might not have expected to find it. We humans, after all, are not super tuned in to this layer of reality. But many other creatures are—and scientists are starting to take note. My guest today is . Sam is a sensory ecologist at the Natural History Museum in Berlin, and one of a handful of scientists uncovering some shocking things about the role of electricity in the natural world. Here, Sam...
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The nature of nurture
Many Minds
The idea of a "maternal instinct"—the notion that mothers are wired for nurturing and care—is a familiar one in our culture. And it has a flipside, a corollary—what you might call “paternal aloofness.” It's the idea that men just aren't meant to care for babies, that we have more, you know, manly things to do. But when you actually look at the biology of caretaking, the truth is more complicated and much more interesting. My guest today is . She is Professor Emerita of Anthropology at the University of California, Davis and the author of the new book, . In it, she examines...
info_outlineHow 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: simply by thinking. 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?
My guest today is Dr. Tania Lombrozo. Tania is a Professor of Psychology at Princeton University; she and her research group study learning, reasoning, explanation, belief, and more. In a recent paper, 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.
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.
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.
Alright, without further ado, onto my conversation with Dr. Tania Lombrozo. Enjoy!
A transcript of this episode will be available soon.
Notes and links
3:30 – An influential early paper on “chain-of-thought prompting” in Large Language Models. A recent preprint by a team, including Dr. Lombrozo, exploring the cases where “chain-of-thought prompting” actually impairs performs in LLMs.
8:00 – For some of Dr. Lombrozo’s important earlier work on explanation, see here and here.
11:15 – The Reddit community ‘Explain Like I’m Five.’
13:00 – An early paper on the “curse of knowledge”—the difficulty of ignoring what you know.
19:00 – Dr. Lombrozo’s recent review article on “learning by thinking” is here. Another article of hers on the same topic is here.
20:00 – The original report of the “self-explanation” effect. The original report of the “illusion of explanatory depth.”
30:00 – For a basic description of Galileo’s falling bodies thought experiment see here. A discussion of this thought experiment by philosopher Tamar Gendler.
38:00 – For analysis of Darwin’s analogy between artificial and natural selection, see here and here.
42:00 – A paper on rationalization by Fiery Cushman.
48:00 – A paper from Dr. Lombrozo’s lab on “need for explanation.” The original paper describing the construct of “need for cognition.”
52:00 – The original report of “framing effects” by Tversky and Kahneman.
54:00 – A paper by Annette Karmiloff-Smith discussing “representational redescription.”
1:02:00 – A recent overview of issues surrounding “explainable” AI.
Recommendations
Alison Gopnik, Andrew Meltzoff, & Patricia Kuhl, The Scientist in the Crib
Frank Keil, Wonder: Childhood and the Lifelong Love of Science
Many Minds is a project of the Diverse Intelligences Summer Institute, which is made possible by a generous grant from the John Templeton Foundation to Indiana University. The show is hosted and produced by Kensy Cooperrider, with help from Assistant Producer Urte Laukaityte and with creative support from DISI Directors Erica Cartmill and Jacob Foster. Our artwork is by Ben Oldroyd. Our transcripts are created by Sarah Dopierala.
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