Can we measure consciousness?
Many Minds
A cluster of brain cells in a dish, pulsing with electrical activity. A bee buzzing its way through a garden in bloom. A newborn baby staring up into his mother's eyes. What all these entities have in common is that we don't quite know what it’s like to be them—or, really, whether it's like anything at all. We don't really know, in other words, whether they’re conscious. But maybe we could know—if only we developed the right test. My guest today is . Tim is Professor of Philosophy at Monash University in Melbourne, Australia. He’s a philosopher of mind and cognitive science,...
info_outline
Rehabilitating placebo
Many Minds
Welcome back friends! Today we've got a first for you: our very first audio essay by... not me. I would call it a guest essay, but it's by our longtime Assistant Producer, . If you're a regular listener of the show, you've been indirectly hearing her work across dozens and dozens of episodes, but this is the first time you will be actually hearing her voice. Urte is a philosopher. She works primarily in the philosophy of psychiatry, but also in the philosophy of mind, the philosophy of biology, the history of medicine, and neighboring fields. She's particularly interested in a colorful...
info_outline
Cosmopolitan carnivores
Many Minds
They tend to move under the cover of darkness. As night descends, they come for your gardens and compost piles, for your trash cans and attic spaces. They are raccoons, skunks, and coyotes. And if you live in urban North America, they are a growing presence. Whether you consider them menacing, cute, fascinating, or all of the above, you have to grant that they are quite a clever crew. After all, they've figured out how to adapt to human-dominated spaces. But how have they done this? What traits and talents have allowed them to evolve into this brave new niche? And are they still...
info_outline
From the archive: Myths, robots, and the origins of AI
Many Minds
Hi friends, we're busy with some spring cleaning this week. We'll have a new episode for you in two weeks. In the meanwhile, enjoy this pick from our archives! _____ [originally aired Nov 30, 2022] When we talk about AI, we usually fixate on the future. What’s coming next? Where is the technology going? How will artificial intelligences reshape our lives and worlds? But it's also worth looking to the past. When did the prospect of manufactured minds first enter the human imagination? When did we start building robots, and what did those early robots do? What are the deeper origins, in other...
info_outline
The borderlands of perception
Many Minds
We've all seen those illusions. The dots seem to dance, when in fact they're completely still. The lines look like they bend, but in reality they're perfectly straight. Here's the thing: It doesn't matter that you know the ground truth of these illusions—the dancing and bending won't stop. And that we see the world one way, even though we know it's actually another way, is a fascinating quirk of our minds—and maybe a telling one. It suggests that there's a chasm between perceiving and thinking, that these may be two independent provinces of the mind. But, if so, we're faced with another...
info_outline
Social memory in our closest cousins
Many Minds
If you want to have a rich social life, you're going to need to know who's who. You'll need to distinguish friend from foe, sister from stranger. And you're going to need to hold those distinctions in your head— for at least a little while. This is true not just for humans but—we have to assume—for other social species as well. But which species? And for how long can other creatures hold on to these kinds of social memories? My guests today are and . Laura is a biological anthropologist and postdoctoral scholar at UC Berkeley; Chris is a comparative psychologist and an Assistant...
info_outline
Fermentation, fire, and our big brains
Many Minds
Brains are not cheap. It takes a lot of calories to run a brain, and the bigger your brain, the more calories it takes. So how is it that, over the last couple million years, the human brain tripled in size. How could we possibly have afforded that? Where did the extra calories come from? There's no shortage of suggestions out there. Some say it was meat; others say it was tubers; many say it was by mastering fire and learning to cook. But now there's a newer proposal on the table and—spoiler—it's a bit funky. My guests today are , Postdoctoral Fellow at Aix-Marseille University, and ,...
info_outline
Of molecules and memories
Many Minds
Where do memories live in the brain? If you've ever taken a neuroscience class, you probably learned that they're stored in our synapses, in the connections between our neurons. The basic idea is that, whenever we have an experience, the neurons involved fire together in time, and the synaptic connections between them get stronger. In this way, our memories for those experiences become minutely etched into our brains. This is what might be called the synaptic view of memory—it's the story you'll find in textbooks, and it's often treated as settled fact. But some reject this account entirely....
info_outline
Energy, cooperation, and our species' future
Many Minds
Welcome back folks! The new season of Many Minds is quickly ramping up. On today’s episode we’re thrilled to be rejoined by . Michael is Associate Professor of Economic Psychology at the London School of Economics. He’s an unusually wide-ranging and rigorous thinker; though still early in his career, Michael has already made key contributions to our understanding of culture, intelligence, evolution, innovation, cooperation and corruption, cross-cultural variation, and a bunch of other areas as well. We wanted to have Michael back on—not just because he was an audience...
info_outline
Dawn of the smile
Many Minds
And we’re back! It’s been a while, friends. Hope you enjoyed your fall and your holidays. Thanks so much for re-joining us—we’re super excited to be kicking off a brand-new season of the Many Minds podcast. We thought we’d get things started this year with an audio essay, one partly inspired by some musings and mullings from my parental leave. Hope you enjoy it folks—and we’ll see you again in a couple weeks with our first interview of 2024. Now on to ‘Dawn of the smile.’ Enjoy! A text version of this episode is available . Notes and links 3:00...
info_outlineHi friends, we're on hiatus for the fall. To tide you over, we’re putting up some favorite episodes from our archives. Enjoy!
----
[originally aired February 17, 2021]
Guess what folks: we are celebrating a birthday this week. That’s right, Many Minds has reached the ripe age of one year old. Not sure how old that is in podcast years, exactly, but it’s definitely a landmark that we’re proud of. Please no gifts, but, as always, you’re encouraged to share the show with a friend, write a review, or give us a shout out on social.
To help mark this milestone we’ve got a great episode for you. My guest is the writer, Brian Christian. Brian is a visiting scholar at the University of California Berkeley and the author of three widely acclaimed books: The Most Human Human, published in 2011; Algorithms To Live By, co-authored with Tom Griffiths and published in 2016; and most recently, The Alignment Problem. It was published this past fall and it’s the focus of our conversation in this episode.
The alignment problem, put simply, is the problem of building artificial intelligences—machine learning systems, for instance—that do what we want them to do, that both reflect and further our values. This is harder to do than you might think, and it’s more important than ever.
As Brian and I discuss, machine learning is becoming increasingly pervasive in everyday life—though it’s sometimes invisible. It’s working in the background every time we snap a photo or hop on Facebook. Companies are using it to sift resumes; courts are using it to make parole decisions. We are already trusting these systems with a bunch of important tasks, in other words. And as we rely on them in more and more domains, the alignment problem will only become that much more pressing.
In the course of laying out this problem, Brian’s book also offers a captivating history of machine learning and AI. Since their very beginnings, these fields have been formed through interaction with philosophy, psychology, mathematics, and neuroscience. Brian traces these interactions in fascinating detail—and brings them right up to the present moment. As he describes, machine learning today is not only informed by the latest advances in the cognitive sciences, it’s also propelling those advances.
This is a wide-ranging and illuminating conversation folks. And, if I may say so, it’s also an important one. Brian makes a compelling case, I think, that the alignment problem is one of the defining issues of our age. And he writes about it—and talks about it here—with such clarity and insight. I hope you enjoy this one. And, if you do, be sure to check out Brian’s book.
Happy birthday to us—and on to my conversation with Brian Christian. Enjoy!
A transcript of this show is available here.
Notes and links
7:26 - Norbert Wiener’s article from 1960, ‘Some moral and technical consequences of automation’.
8:35 - ‘The Sorcerer’s Apprentice’ is an episode from the animated film, Fantasia (1940). Before that, it was a poem by Goethe.
13:00 - A well-known incident in which Google’s nascent auto-tagging function went terribly awry.
13:30 - The ‘Labeled Faces in the Wild’ database can be viewed here.
18:35 - A groundbreaking article in ProPublica on the biases inherent in the Correctional Offender Management Profiling for Alternative Sanctions (COMPAS) tool.
25:00 – The website of the Future of Humanity Institute, mentioned in several places, is here.
25:55 - For an account of the collaboration between Walter Pitts and Warren McCulloch, see here.
29:35- An article about the racial biases built into photographic film technology in the 20th century.
31:45 - The much-investigated Tempe crash involving a driverless car and a pedestrian:
37:17 - The psychologist Edward Thorndike developed the “law of effect.” Here is one of his papers on the law.
44:40 - A highly influential 2015 paper in Nature in which a deep-Q network was able to surpass human performance on a number of classic Atari games, and yet not score a single point on ‘Montezuma’s Revenge.’
47:38 - A chapter on the classic “preferential looking” paradigm in developmental psychology:
53:40 - A blog post discussing the relationship between dopamine in the brain and temporal difference learning. Here is the paper in Science in which this relationship was first articulated.
1:00:00 - A paper on the concept of “coherent extrapolated volition.”
1:01:40 - An article on the notion of “iterated distillation and amplification.”
1:10:15 - The fourth edition of a seminal textbook by Stuart Russell and Peter Norvig, AI a Modern approach, is available here: http://aima.cs.berkeley.edu/
1:13:00 - An article on Warren McCulloch’s poetry.
1:17:45 - The concept of “reductions” is central in computer science and mathematics.
Brian Christian’s end-of-show reading recommendations:
The Alignment Newsletter, written by Rohin Shah
Invisible Women, by Caroline Criado Perez:
The Gardener and the Carpenter, Alison Gopnik:
You can keep up with Brian at his personal website or on Twitter.
Many Minds is a project of the Diverse Intelligences Summer Institute, which is made possible by a generous grant from the Templeton World Charity Foundation to UCLA. It 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.
Subscribe to Many Minds on Apple, Stitcher, Spotify, Pocket Casts, Google Play, or wherever you listen to podcasts. You can also now subscribe to the Many Minds newsletter here!
We welcome your comments, questions, and suggestions. Feel free to email us at: [email protected].
For updates about the show, visit our website or follow us on Twitter: @ManyMindsPod.