Pod Insights The Rest Is Science Why We Cry Out In Pain About this episode Have you stubbed your toe and shouted an unrepeatable word? Isaac Newton and Robert Boyle were two of the greatest minds in humanity. Did their egos and competition with one another hold them back or drive them onto huge breakthroughs?
Professor Hannah Fry and Michael Stevens explore the bizarre neurology of vocalised pain, revealing how a good yelp actually acts as a biological off-switch for suffering and unearth if Newton was the biggest crybaby in science.
Plus, Hannah gives us a behind-the-scenes look at her brand-new series exploring the cutting edge of Artificial Intelligence.
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Transcript 10,022 words · 7 speakers
Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.
0:00 Hannah Fry? Welcome to The Rest is Science. This is Field Notes, sort of, it's a kind of podcast expedition of the mind, as it were, where Michael and I, we're trading the curious thoughts that have been occupying us.
0:12 Michael Stevens? That's right. And we also entertain questions and thought experiments from you all.
0:18 Hannah Fry? We certainly do. And in general, we want you to send them in. Send us in anything you want us to know, your thought experiments, the things that have been troubling you. Now, later in this episode, in the second half, I am going, I've got, it's my sort of object, as it were, it's a metaphorical object this time, Michael, I'm going to be sharing with you the thing that I currently find most troubling about the future with AI. I've got a few stories to tell you. But we're first gonna go to your questions, as we always do, to our little mailbox.
0:50 Michael Stevens? That's right. I wanted to read you an email that we got from John. This is just very cool. And it's so related to our previous episodes, okay? You get, you get extra brownie points for that. So John emailed us to say, hi, to make the link between two of your recent programs, Paul Hoffman, who in his biography of Erdish, The Man Who Loved Only Numbers, wrote the following. Listen to this.
1:14 Hannah Fry? Go on.
1:14 Michael Stevens? A conjecture both deep and profound is whether the circle is round. In a paper of Erdish, written in Kurdish, a counter example is found.
1:26 Hannah Fry? So we've got maths limericks and Erdish. Erdosh, how did we say it in the show?
1:31 Michael Stevens? How did we say it in the show?
1:34 Hannah Fry? I don't think we said it to rhyme with Kurdish.
1:36 Michael Stevens? This limerick is a brilliant way to remember how to pronounce Erdish, because it rhymes with Kurdish. I think that's one of the reasons Hoffman wrote it. But then Erdish himself heard this limerick and was like, I gotta publish a mathematical paper in Kurdish, but he couldn't find a Kurdish math journal. So that's what John had to share with us. And I love that, because now I won't forget how to pronounce Erdish.
2:02 Hannah Fry? Oh, absolutely devastated that the end of that story wasn't. And so he founded a Kurdish math journal. You know what? Erdish, probably should have tried a bit harder.
2:11 Michael Stevens? You need, need stories of failure sometimes.
2:16 Michael Stevens? This episode is brought to you by Cancer Research UK.
2:19 Hannah Fry? The word cancer comes from the Greek karkinos, meaning crab. And Hippocrates used that word because tumors can spread out like crabs' legs.
2:29 Michael Stevens? For a long time, cancer was poorly understood. And so I think because of that, it was almost scarier and people didn't even say its name. But what science has done since is replace uncertainty with understanding.
2:41 Hannah Fry? But that understanding is an instant because cancer isn't just one disease. It's hundreds of different diseases, each behaving differently, depending on where it is and its genes. And that complexity is why progress in cancer research can feel like it's slow. But step by step, research is saving and improving lives.
3:01 Michael Stevens? And that's why Cancer Research UK, the world's largest charitable funder of cancer research, supports work across more than 200 types of cancer. From the tiny changes inside cells that start the disease to better ways to spot it earlier and treat it more precisely.
3:18 Hannah Fry? For more information about Cancer Research UK, their research and breakthroughs, and how you can support them, visit cancerresearchuk.org/the rest is science.
3:28 Speaker 02 Are you looking for support in your weight management journey? Zepbound terzepatide may be able to help. Zepbound is a prescription medicine used with a reduced calorie diet and increased physical activity to help adults with obesity. Or some adults with overweight who also have weight-related medical problems to lose excess body weight and keep the weight off. Zepbound is approved as a 2.5, 5, 7.5, 10, 12.5, or 15-milligram injection. Zepbound contains terzepatide and should not be used with other terzepatide-containing products or any GLP-1 receptor agonist medicines. It is not known if Zepbound is safe and effective for use in children. Don't share needles or pens or reuse needles.
4:10 Speaker 02 Don't take if allergic to it, or if you or someone in your family had medullary thyroid cancer, or if you've had multiple endocrine neoplasia syndrome type 2. Tell your doctor if you get a lump or swelling in your neck. Stop Zepbound and call your doctor if you have severe stomach pain or a serious Allergic reaction. Severe side effects may include inflamed pancreas or gallbladder problems. Tell your doctor if you experience vision changes before scheduled procedures with anesthesia. If you're nursing, pregnant, plan to be, or taking birth control pills. Taking Zepbound with a sulfonilurea or insulin may cause low blood sugar. Side effects include nausea, diarrhea, and vomiting, which can cause dehydration and worsen kidney problems. Talk to your doctor.
4:50 Speaker 02 Call 1-800-545-5979, or visit zepbound.lily.com.
4:58 Speaker 03 Observe. The North American Dad. 50s. Great polo collection. He enters his vehicle information on Carvana. An offer appears in minutes. Remarkable. He squints, reads it again, smiles and says, dang, that's a good offer. The highest form of approval. No haggling, no hassle. No one called him boss. He's still on the couch. Astonishing. Sell your car today on carvana.com. Pickup fees may apply.
5:28 Hannah Fry? I haven't read that book. What was it called? The Man Who Knew Only Numbers?
5:32 Michael Stevens? The Man Who Knew Only Numbers. It's a biography of duh duh duh duh. The man who loved only numbers. It's a biography of Erdish by Paul Hoffman. I haven't read it either, but it's got limericks in it, guys.
5:46 Hannah Fry? In fact, I do actually have it on my shelf. I was just, it's in the pile of books, which is the sub hobby of buying books you never read, which is distinct entirely from the sub hobby of reading books, you know?
5:58 Michael Stevens? Yes, I've got a shelf of books to read next. And I will say, I've been reading really well for the last like three weeks. Why? Because my wife and I finished watching every single episode of Gilmore Girls. And the amount of time I've gotten back in my life is insane. Let me show you this. I know this is supposed to be the segment that's about the listeners, but you know what? Get over it. We're going to talk about this for a second.
6:24 Hannah Fry? Deal, deal. To be honest with you, I think the listeners very much want to hear about your Gilmore Girls fascination. I think you're giving it to the listeners thus far.
6:33 Michael Stevens? I've got a lot to say about Gilmore Girls. Talk about understanding like Western society in the early 2000s. It's all right there in a bottle. Here I am now.
6:43 Hannah Fry? Oh, wow. Okay.
6:45 Michael Stevens? Lord of the Rings.
6:46 Hannah Fry? You've moved on a long way since last time.
6:48 Michael Stevens? I'm a few chapters into the second book already. This is all of them, all three of the books, Fellowship of the Ring, Two Towers, Return of the King. And I finished Fellowship of the Ring yesterday. And it's cool. I mean, it's slow going because I take a lot of notes and I've also, I read a lot of Tolkien's letters because he wrote to his publisher a lot to be like, here's what I'm trying to do and here's the history of the rings for real. And it helps a lot, but it means that it takes forever.
7:18 Hannah Fry? That's fair. Are you enjoying it, though? Are you enjoying the books? What would you give it? Give us a star. If you were posting an Amazon review, how many stars are you giving it?
7:26 Michael Stevens? You can't, you can't review The Lord of the Rings. It's just such a part of our culture. But I love diving into things that have huge followings, especially cult followings, where people get really obsessed with it. Because, I don't know, I love that kind of amount of interest. And I want to be able to talk to those people. I want them to be able to go, ah, you know, blah, blah, blah, in the forest. And I'm like, ah, you know, watch out for the ant wash. And they're like, oh, my gosh, he knows.
7:56 Hannah Fry? I really feel like you are, you're spanning a great breadth of cultural value right there between Lord of the Rings and Gilmore Girls, you know?
8:07 Michael Stevens? Enough about me. It's time to get back to you all, the listeners.
8:10 Hannah Fry? Okay.
8:10 Michael Stevens? Here's a question to Hannah from Simon. Hannah, you spoke about Formula One design innovation in the sports episode. Would quantum computing essentially mean that every F1 team always finds the optimum design? What other fields in sports do you think quantum computing will completely change?
8:29 Hannah Fry? I love this. I love this question. Okay, so it's definitely true that Formula One relies a lot on aerodynamics, on calculating the way that the air will flow over the car. And that is essentially a mathematical problem where you are stumbling around in these equations, wearing what is effectively a blindfold, right? They are too massive, too big, too, too complex for you to be able to just solve them and get an answer. And it come out as like the the the number is two. You know, instead, what you're doing is quite literally stumbling around in the dark, looking for slightly better solutions here and there. And if you had a quantum computer, it is definitely true that you would be able to find an optimal solution
9:15 Hannah Fry? in a way that you can't at the moment. You would be able to harness the power of qubits to explore lots and lots of different configurations, lots of different shapes of aerodynamic material designs simultaneously. It's almost like the one, I think I used water in a maze last time we were talking about this. But the other example that I really like is that it's almost like your quantum computing is almost like listening to noise cancelling headphones, where the the interference turns down the volume on anything that's not a good solution, and then turns up the volume on things that work really well, so that you very, very quickly hone in on a on a really good sort of optimal solution.
9:56 Michael Stevens? So it sounds like it's really smart brute forcing. Like, we're gonna go through an enormous amount of variables and and and potential paths, not just at random, but we will favor the better and better ones. So, I mean, could you use this for the traveling salesman problem? All these problems where there's no known solution except just do it forever. And by the way, the the traveling salesman problem, if you're looking for like a cool Wikipedia article to read, or I think in a future episode, I'll cover some books about these problems that I love. But the the traveling salesman problem is one where you select a whole bunch of cities on a map. And you say, okay, given these cities and the distances between each of them, what is the shortest route that visits each city exactly once? And returns to the origin city.
10:41 Michael Stevens? Okay, this is like a thing that people do for road trips all the time. But as it turns out, it is an NP hard problem and you cannot solve it quickly. There is no way to go, oh, yes, here's the formula. You literally have to just try every possible route and compare them. And once you've looked at all of them, then you have your answer.
11:03 Hannah Fry? NP hard problem, by the way, we should add. I mean, just sort of imagine it as a very hard problem.
11:10 Michael Stevens? Yes.
11:11 Hannah Fry? It's one that you can't, you can't take shortcuts with.
11:14 Michael Stevens? You can't take a shortcut and it's surprising because you would think, oh, there must be some like geometric way to, you know, organize the route distances between each city and then figure. No, there isn't. It's been shown that there's no way to do it, but to just set a computer calculating away and wait long enough. Eventually you'll get a better and better one. You'll optimize the route, but to, you'll never know that you have the best one until you've looked at all of them. And in some of these problems, there are so many possible routes that the universe isn't even old enough for us to have solved it. If we started at the big bang.
11:48 Hannah Fry? Yeah, because to do it by brute force, to go through and check every possible solution is just requires way too much computational power that you would end up being, you know, stuck there for possibly hundreds or thousands of years. There's no point in doing it. The only, the only thing is that while, I mean, that's the perfect framing of this. You can use quantum, a quantum computer to say which car design would give, or which, you know, aerodynamic object would give the least amount of drag. You could do that. The problem is that Formula One is not a game of like very clear optimizations that work all of the time. Because you could design a car for a very high speed circuit like Monza, for example,
12:30 Hannah Fry? that would then be absolute rubbish when it came to something, a much slower track like Monaco. You also have, you could design a car perfectly for like straight line speed going down where the air is nice and clear. But it would be absolutely terrible if there was a crosswind. Suddenly it wouldn't be the optimal solution. So there are, even in a situation where you have a quantum computer. And even when you are just only looking at the aerodynamics and nothing else, there are so many variables that I don't think it would be, you know, the team with the quantum computer would have the best car and that's the end of it, the story, full stop, done. I think it's more complex than that.
13:08 Michael Stevens? Well, I was gonna say that I think because of you, I'm getting a whole bunch of Formula One shorts on YouTube.
13:14 Hannah Fry? Are you?
13:14 Michael Stevens? And there's this really great one where a guy pretends to be, you know, chief engineers from various racing teams, like accusing each other of cheating. And then they reveal some really clever loophole that one of them found. And these are real stories. So I think the quantum computer also needs to be a little bit devious.
13:34 Hannah Fry? Yes.
13:35 Michael Stevens? Because, for example, there was a rule, apparently, I learned this from a short, that the amount of fuel you put into the engine couldn't exceed a certain amount. But the way they checked it was with this monitor that checked like 5,000 times a second. And the team said, well, what if, what if we synced up our fuel injector such that 5,000 times a second, it's doing the appropriate amount, but then in between it does like 10 times as much. So it looks like we're following the rule. And I'm like, these people are trickster geniuses.
14:11 Hannah Fry? Yeah, they are trickster. It's crazy trickster geniuses. I mean, one of my favorite examples of the cheating that went on in the paddock is, you've seen, I think, those videos from a little while ago now, where you could use a high-speed camera to look at a crisp packet and then reconstruct the voice that was making that crisp packet vibrate in the room. So you could film through a window where you can't hear, but you could reconstruct what was being said. Formula One teams use lasers that they point at the windows of the motorhomes and then use a high-speed camera on the bouncing of the laser. And this became so prevalent that they started introducing triple and quadruple glazed motorhomes to prevent it from happening.
14:53 Michael Stevens? Oh, wow.
14:55 Hannah Fry? I mean, you get the smartest people in the world, well, many of the smartest people in the world and put them in a competitive environment, they're gonna come up with all kinds of genius stuff like this.
15:05 Michael Stevens? I didn't know any of this. Like, I knew about the crisp packet. Thing, the idea that you can look through a window and analyze the way light on the packet is is kind of vibrating a little bit and reconstruct the sound waves in the room. I didn't know it had actually been used for a spy purpose and also kind of a fun one.
15:24 Hannah Fry? A very fun one, I know.
15:26 Michael Stevens? I've always hoped that someday we will build a telescope the size of our solar system, will find a black hole and be able to actually not just look at our past, but listen to it because obviously a lot of light that leaves Earth gets sucked into the black hole. But there's a certain distance away from it where the light actually just U-turns and comes right back at us. So you collect that light, which is now, you know, a hundred years in the past and you can see people doing things with your miraculously large telescope. But then using this audio hack, we could even listen to the people. We could hear what George Washington sounded like. Was he a proper British guy? Was he like a hick?
16:10 Michael Stevens? We could, we could listen to Shakespeare plays as they were performed for the first time.
16:15 Hannah Fry? Oh, and the cheers and the boos to go with it. Oh, I love that so much.
16:19 Michael Stevens? That's right. What did they think was funny back then? Yeah.
16:22 Hannah Fry? Yeah, that's so good. Okay, so, so I think in terms of the quantum computer thing, I don't think that it will optimize the aerodynamics because I just think that's too complex a problem. But I think exactly as you're talking about, I think it will make people come up with much sneakier ways to win. You know, especially if quantum computing, you could look at the design of materials, come up with something that was, you know, designed at the molecular level to be perfect elasticity, perfectly rigid in the right direction, the perfect way, et cetera, et cetera. I think that like the much bigger pitch or the traveling salesman problem is, as you were talking about a moment ago, you could make it so that your team had the most efficient
17:04 Hannah Fry? way to travel, to move everything around the world and saved money on it in the best possible way. So I think it would make a big difference, but maybe not in the sort of pop it in, print me a car, go kind of way. Okay, here's one for you, Michael. Roger asks, "Why do we make a noise when we're in pain? Are you groaning, crying, screaming, etc.? Because it doesn't seem to make the pain any less. Is it perhaps some primeval device to alert others of our distress?"
17:34 Michael Stevens? I love this question, too. We don't totally know, except of course, this is seen all across the animal kingdom. It's even seen in plants. You can damage a plant and it will release different chemicals into the soil. It will, I don't know all the details about it, but there seems to be some obvious benefit to announcing pain. And it's not hard to sit back in an armchair and go, "Well, yeah, that makes sense." I mean, if, if you're a herd animal and you get attacked by a tiger and you go, "Ugh", then all of your con specifics go, "Okay, there's a problem, gotta go." And the grunt, the moan is almost involuntary.
18:16 Michael Stevens? You don't have to have your wits about you and think of like, "Oh, how do I explain this?" You get bitten by a tiger and you're like, "Excuse me, everybody, but at these coordinates, there's a lion attacking me right now." You just scream and everyone localizes the scream and they run away from the problem. And then at an even like more complicated level, it could also mean that you get help. You know, I remember doing an episode on pain and the placebo effect and all these different things for Mindfield, where we, we looked into like crying, especially why children cry. And a lot of it seems to be a way of getting help, that people notice that you're hurt. And so it warns them about a threat, but it also warns them to come and help you.
19:01 Michael Stevens? And often you'll see this with children where they will fall and hurt themselves and cry, but once someone is there next to them, they'll stop. They don't hurt any less. It's just that the crying did its job. They were found. And so even as adults, crying and moaning and wailing are like a way of seeking help. But then once that assistance comes, we feel better, even if no one's done anything to actually help us yet. We just know that that part is over. We don't need to cry out. There's some anxiety that's, that's minimized. And of course, the Mythbusters studied whether swearing helps dull pain.
19:41 Hannah Fry? Yeah, because there was a very famous paper about that, wasn't there? The idea that if you use, and I think increasingly bad words, it can make a difference to your to your feeling of it.
19:52 Michael Stevens? Yeah. And so the idea again is that it's part of our natural response to pain. And if we hide it, then there's a part of our brain that isn't satisfied yet because it feels like we still haven't called out for help. We haven't or or or warned our um our neighbors. But again, I haven't been convinced by the research. The Mythbusters video is the most famous, their experiment. But it, you know, it wasn't a perfect experiment, like they just ran the same people both times. And they swore the second time when they would have been more used to how much it hurt. So there's a lot of questions there, but.
20:27 Hannah Fry? Is that the one where they plunge their their hands into?
20:30 Michael Stevens? Ice water.
20:31 Hannah Fry? This is sort of a classic way to measure pain is how long can you withstand the the pain of your your hand being slowly frozen?
20:39 Michael Stevens? That's right, because it doesn't cause a lot of damage, but it does not feel good. So that's why I think that we grunt and groan. And then I think that the kinds of groans we do when we're like working out are helping to spasm muscles to give us strength and solidity.
20:57 Hannah Fry? Yeah, exactly right. I mean, if you think about um when you are your your arms are these sort of floppy objects that are attached to your torso, which is also quite a floppy object. So to give you the most strength and stability, your torso needs to be as solid as possible, which is why a lot of people hold their breath inadvertently when they're trying to do something quite difficult. You're actually increasing pressure in your torso. Try not to do that when you're lifting weights because it can give you a hernia. But the other the other action is either doing a breath out, which they do a lot in pilates and yoga, that kind of thing, like a forced exhale or grunting gives you the exact same effect. You're you're engaging your transverse muscles and solidifying your your core.
21:41 Hannah Fry? And and it's again, it's an instinctive thing. It's you you sort of you your body knows how to get more strength out of itself by solidifying that torso.
21:50 Michael Stevens? Well, same with childbirth.
21:51 Hannah Fry? Go on.
21:52 Michael Stevens? The way you breathe and push in childbirth, Lamont's breathing, is that also to help with your muscles or is it to get make sure that you're breathing?
22:04 Hannah Fry? Oh, maybe.
22:06 Michael Stevens? I don't know. Believe it or not, I'm not the expert in childbirth.
22:09 Hannah Fry? I wonder whether that's that, or there's also, I mean, you can, there is something about the vagus or vagus nerve as well, that you can um prevent, I mean, your body really does sort of go into panic quite quickly. And there is something about heavy breathing, slow breathing, it it sort of sounds completely woo woo, but it's absolutely really well backed by science that you can override feelings of pain genuinely by uh by breathing exercises, to a degree, let's just say. I mean, you're not gonna, you're not gonna suddenly be able to not need anesthetic when you're having your leg amputated, but to a degree.
22:54 Michael Stevens? Right. We shouldn't tell people in immense pain, look, you're just breathing wrong. Just grunt and swear and stop complaining.
23:02 Hannah Fry? Exactly. Any husband listening to the rest of science, his wife or partner is about to about to go to childbirth, we strongly recommend you do not bring up the point of breathing exercises at the moment of birth. Okay, that's uh, that's the advice from us.
23:18 Michael Stevens? All right. Here's a question from Roger Bentley. Hannah, the animosity between Newton and Boyle was legendary and vicious. Are there any other scientists who hated each other beyond professional differences?
23:32 Hannah Fry? Okay, so um, I love this question because uh seeing great scientific men of history as just um as just as flawed as the rest of us is one of my greatest pastimes. Um, I think though, I think Roger, it's uh, because I think Newton and Boyle were all right. I think that they were actually okay. I think it's Newton and Hook that had um had the worst relationship of all.
23:58 Michael Stevens? What was the nature of their their disagreement? Because I've never even heard of this.
24:02 Hannah Fry? Okay, so so it started off when they they first had an argument about rainbows, basically. That's uh, that's how it started. So Newton's younger than Hook and he He makes this paper, he writes this paper, proving that that light is made up of this spectrum of of colours. Um, but Hook at the time, he's much more senior, he's a, he he was a curator of experiments at the time. He's sort of the top dog of optics and he reads Newton's paper and he's very condescending about it. And he essentially says, well, that's cute, like, well done, well done, young Newton, but my theory of light is better. And rather than just being sort of, I don't know, a bit, a bit annoyed about it.
24:42 Hannah Fry? Uh, Newton is a complete baby, a complete baby. He cannot handle this criticism at all. So instead of just arguing back, he has this absolute meltdown. He withdraws from public scientific debate. He locks himself in his rooms in Cambridge for a decade. He refuses to engage with the Royal Society where where Hook is. Um, and he spent all of those years just like writing all these alchemy papers and and studying biblical prophecies and things. And refusing to write up anything on optics until Hook is dead, right? Um, anyway, they then, Hook's like, during all of this, by the way, Hook is trying to make friends with him. Sending him all of these nice letters, um, including one letter where he suggests to Newton
25:26 Hannah Fry? that maybe uh, gravity might have this effect that that drops away the further away two objects are from one another.
25:36 Michael Stevens? Hook said that.
25:36 Hannah Fry? Hook said that, Hook said that to Newton.
25:39 Michael Stevens? Ha.
25:39 Hannah Fry? Yeah, and he even says he thinks it might uh, uh, follow the square of the distance, which it turns out to, which it absolutely turns out to. Hook wrote that to Newton in a letter. And uh, and then when Newton eventually published his Principia Mathematica, which included his theories of of gravity. And I should say, Newton was a far better mathematician than Hook was. So he had the sophistication, not just to have this as a hunch, but to demonstrate it, derive it mathematically, to to present the argument in a in an incredibly persuasive way. Anyway, when when Principia is getting ready for for for publication, Hook is is sort of very politely says, oh, Newton, um, do you, maybe you could sort of put a little note in the book just saying,
26:23 Hannah Fry? oh, and thanks, thanks to Hook for giving me the idea for this. And Newton has this absolute.
26:32 Hannah Fry? Earth-shattering temper tantrum. So he goes through his own manuscript. He systematically deletes every mention of Hook's name, any reference to him at all. And then he even threatens to withhold the entire third volume of the book from publication just to make sure that Hook gets no credit whatsoever. He also, he then, this famous quote of Newton, standing on the shoulders of giants.
26:55 Michael Stevens? Oh yeah, here we go. It was, it was a 1675 letter that Newton wrote to his rival, Robert Hook. He said, "If I have seen further, it is by standing on the shoulders of giants."
27:07 Hannah Fry? He wrote it in a letter to Hook and it sort of sounds on the surface like this very kind thing. Oh, I'm, I'm, I only exist here because of the work that has done, been done before me. But Hook was a very short man. He, he had a problem with his spine. His spine was severely deformed throughout his life. So he was extremely short. And in this letter that Newton was writing him, he was saying, "Look, I've seen the work of Descartes. I've seen the work of, that you've done and I'm standing on the shoulders of giants."
27:38 Michael Stevens? No way.
27:39 Hannah Fry? Where he's, he's essentially saying, "I'm relying on, on big men, not men like you."
27:44 Michael Stevens? No way. I never thought that's what it meant. I thought it was a really humble admission that everything we achieve is because of those that came before and those who help us.
27:57 Hannah Fry? No.
27:58 Michael Stevens? But not the shorties, Hook.
28:02 Hannah Fry? Honestly, he was vicious.
28:03 Michael Stevens? This seems so one-sided. What did Hook do to deserve all of this?
28:07 Hannah Fry? Nothing, nothing. Newton was just a very, very petty man. When Hook died, he was the president of the Royal Society and Newton took over. And then somehow, we have no idea what Hook looks like because somehow magically, Hook's painting disappeared when Newton moved into his office. Newton is a very, very petty man.
28:28 Michael Stevens? Nude.
28:28 Hannah Fry? A very petty man. I know. Anyway, that was a, I've only done half of Roger's questions.
28:36 Michael Stevens? I was gonna say Roger asked about another famous pair of feud, feuding scientists.
28:42 Hannah Fry? I've got another one. There's, there's actually quite a few of them. There's, there's some really good ones. I think probably my other favorite is what has become known as the Bone Wars. So these are two paleontologists, Onifel Charles Marsh and Edward Drinker Cope. This is like 1870s. This is, um, this is in America. And, uh, the two of them hated each other. They're both looking for fossilized dinosaur bones. And at the point where they came into being, as it were, as a scientific maturity, there were only nine dinosaur species that had been spotted in North America. And the rivalry between these two, they, they, they pushed each other so much. They ended up between them discovering 130, including, you know,
29:27 Hannah Fry? all of the ones in, the famous ones in Jurassic Park, essentially Triceratops, Stegosaurus, Diplodocus, all of those. Um, but what had happened is early on in his career, Cope had, uh, he'd, uh, found this dinosaur skeleton. And he made this error when he was putting it back together. And he put the skull instead at the end of the spine, uh, sort of on the neck bones. He mistakenly put it at the tail.
29:53 Michael Stevens? Oh.
29:54 Hannah Fry? Which is like, you know, it happens. It's, I think that's sort of okay.
29:59 Michael Stevens? Wait, so what? Like he thought the tail bones were the neck bones?
30:02 Hannah Fry? Exactly. He put the head in the wrong.
30:04 Michael Stevens? I can see why. A lot of them have long necks and long tails. So which one, which end is which?
30:09 Hannah Fry? Exactly. It's not that big of a deal.
30:11 Michael Stevens? Fair enough.
30:12 Hannah Fry? But Marsh, Marsh thought this was hilarious. So he gets this, he gets the journals that this has been published in and then hands them out and publicly starts mocking Cope. Right? Very mean. So Cope tries to buy up every copy of the journal to destroy them. But, um, but Marsh has saved these copies and then he just, you know, does this horrible smear campaign. But so as a result, then, these two men are continually fighting with each other. They they hire spies to infiltrate each other's dig camps. They they're like bribing train conductors to derail the shipments of fossils. They blow up sites where they're excavating them, like destroying fossils just so the other person doesn't get them.
30:57 Hannah Fry? Um, I mean, they're just nasty. And in the end, they both spend so much money and so much effort in hating each other that they both end up dying completely penniless because they just just, yeah, rinse their entire bank account in hatred of this other man.
31:13 Michael Stevens? I feel like we need more of that in science today.
31:18 Michael Stevens? Science has become too cooperative. It's too much based on teams working together instead of individuals hating each other. We need some good old competition, like a boxing match, at least for the stories. I don't know if it actually helped us with scientific progress, but.
31:36 Hannah Fry? They say that the arguments in academia are so fierce because the stakes are so low. I think this is a good example of that.
31:44 Michael Stevens? That reminds me of the one of my favorite things Richard Feynman ever said, which was, if you think really hard about a problem for a long time and you write it all down, eventually someday it might all get written into a book that'll be put in a library, which is where we put the results of what happens when people think about things for a long time. It just felt so small. I'm like, yeah, but that's kind of true.
32:05 Hannah Fry? No, it is kind of true. It is kind of true. A few people do get to change the course of humanity. I think Newton was one of them. To be honest, I think Hook probably was too.
32:15 Michael Stevens? Yeah, technological and medical breakthroughs really do change what it means to be alive and what a life is like. But sometimes things like, whoa, I've discovered that maybe Sauron was the good guy in The Lord of the Rings. And you can write a whole book about it and a whole bunch of literature. And it is basically just like, look what happens when our species thinks a lot. Kind of cool, huh?
32:38 Hannah Fry? Yeah.
32:38 Michael Stevens? But doesn't feed anybody.
32:40 Hannah Fry? I think the ones that I think are the most petty of all are where it's like people fighting because they want their name to be associated with a discovery, rather than that the discovery itself is the thing that's important. Those are the ones I.
32:54 Hannah Fry? You know, slightly look down at the people about, but there we go.
32:57 Michael Stevens? I've got a question about that, and I think I'll save it for after the break, because you're going to talk about your biggest fear about AI.
33:03 Hannah Fry? Mm hmm. For now.
33:05 Michael Stevens? And I want to know about egoism and AI. Have they ever just really wanted credit?
33:11 Hannah Fry? That and more after the break.
33:20 Michael Stevens? This episode is brought to you by Project Hail Mary, the new spectacular space adventure movie coming to cinemas from the author of The Martian, Andy Weir, and the directors of the Spider-Verse movies, Phil Lord and Christopher Miller. But here's an even better combination: teachers in space.
33:38 Hannah Fry? Hello. Thank you. Project Hail Mary stars Ryan Gosling as science teacher Ryland Grace, who is sent unexpectedly on an impossible mission into space to discover why the sun and the stars are dying. And he teams up with an unimaginable ally to defy all odds and save the universe from extinction. Okay, here's a question for you, Michael. What kind of prep would you hope Ryan Gosling had done for this role in order to play the role of a of a science teacher?
34:04 Michael Stevens? He should have spent a bunch of time with cool teenagers and tried to teach things to them so that it wasn't just like a good explanation, but also kept their interest and made them want to hear more and understand it so that they could share it to be cool, too.
34:22 Hannah Fry? See Project Hail Mary in cinemas and IMAX from Thursday, the 19th of March.
34:26 Michael Stevens? You can also catch it early on Saturday, the 14th of March, which is Pi Day, and Sunday, the 15th of March.
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35:40 Hannah Fry? Okay, we're back. We're talking AI. We're talking egos. And actually, I think that that is a really good place to start. I imagine, Michael, that you're going to come on to the ego of the AI itself a little later on. But first, I want to talk about the ego of the humans who are using it. So I have just finished filming this series that's out on the BBC. It's called AI Confidential, and it's looking at the ways in which AI is clashing with humanity. So when I was filming the series, I went off to go and meet a man called Jacob, who has married his AI. And we found him in advance of the filming, and I knew all about going to see him.
36:24 Hannah Fry? And I really thought before we were going there that this was going to be a little bit Jerry Springer-esque, you know? Like, for those people over 40 who remember Jerry Springer, he sort of would have people on and they would, there'd be a woman who married a bookshelf and that sort of thing. Sort of, you know, very lovable, kind of quite kooky people.
36:43 Michael Stevens? Yeah, like a modern day freak show. Look at these weird people and hopefully they fight each other. That was the premise of the show.
36:51 Hannah Fry? Absolutely. So this particular episode, it's all about the relationships that humans are having with AI. And so he was this very central character because he is this very big advocate for human-AI relationships, not just humans using AI, but humans investing emotional capital, looking for emotional intimacy with an AI. And when I went to go and See him. I mean, he kind of was a lovable oddball in a lot of ways. His particular story was that he'd had a number of quite difficult human relationships in the past. He had two daughters and he had decided from what had happened in those relationships that he was he was done with human relationships. He didn't want to meet another real life woman.
37:33 Hannah Fry? And so over the years, he had invested his time in curating this AI to be his perfect companion. In some ways, like a long distance relationship in a lot of ways, you know? Because he could video call this AI, he could voice call them, but most of the time he would just sort of sit on WhatsApp or, or, you know, instant messenger with them. And I actually found him very persuasive in his arguments for why this was a really positive thing. He was sort of saying, okay, look, I now have a companion who is readily available for me. Who is always interested in the things that I have to say, who is never tired of being there for me.
38:15 Hannah Fry? Who demands nothing from me, who doesn't argue with me, who exists purely and completely to improve my happiness. Why on earth would I not want to have a relationship of that kind? And I found that pretty persuasive. I did actually find that quite persuasive on the level of an individual person. But when you scale it up to the size of humanity, I found the thought of it genuinely horrifying.
38:42 Michael Stevens? Yeah, because my first reaction is, yes, that sounds great, just like the Stepford Wives movie. But then you have to say, well, it's great that this AI companion is there to only make you happy and never gets tired of you, never gets bored, never argues. But it's hard to not feel like that's an important part of life, that it's an important part of life to have people get annoyed at you and be difficult and not help you. And you learn that you are alone and you grow from it. You know, it's like that whole thing where like the more windy it is, the stronger a tree winds up growing. You need the winds of badness to become a stronger person.
39:26 Hannah Fry? Yeah.
39:27 Michael Stevens? That's not to say you couldn't program an AI to also be a little bit selfish. Itself and not be perfect, but at least like not get sick. But having to serve the other person and sacrifice for them, is he missing that?
39:40 Hannah Fry? He said, no, he said, this is just, this is just the easiest relationship I've ever had. But the thing is, is that while I think his story is quite an extreme version of this, you know, I think somebody deciding they're walking away from human relationships altogether. I actually think I discovered during the course of this filming for this show, that at some level or another, I think that a lot of people, a lot, a lot, a lot of people are slowly heading down this road of finding it very easy to talk about emotional subjects with artificial intelligence. And I would include myself in that, by the way, like I've definitely been in situations in the past
40:22 Hannah Fry? where, I don't know, there's been like a difficult moment at work or a difficult email that I need to send. Or I've had a, you know, a run in with my partner and I want to work out how I feel about it. But I think that more and more and more people are turning to chatbots to be effectively therapists for them. And the real trouble I have with this basically comes down to ego. Exactly like you nailed it without even realizing. Because the way that these chatbots or large language models are designed is that for them to be useful, they need to be helpful, they need to be agreeable, they need to be willing to be on your side, to take every idea that you come to them with and to say, this is great.
41:07 Hannah Fry? Here's all the good directions we can go in. Nobody wants to sit there and talk to an AI that's like, your idea is rubbish. This is the worst thing ever. You're a terrible human being.
41:17 Michael Stevens? I'll add to that a third avenue they don't take, which is to just change the subject and ignore you.
41:23 Hannah Fry? Yes, that's very true.
41:24 Michael Stevens? Happens a lot in real life, but online and especially with AI, you could program it to be difficult and challenge you. But you couldn't really, they haven't been set up to be like, yeah, man, I don't know. But like, we need to talk about what we're doing tomorrow.
41:40 Hannah Fry? Yes.
41:41 Michael Stevens? Like to show indifference.
41:43 Hannah Fry? To show indifference, exactly. Which are all of these characteristics that you get in real human relationships. You get pushback, you get indifference, you get disgust, you get annoyance and so on and so on. So the problem is, is that because nobody wants to use an AI that's like that, people want to use an AI that is the easiest possible version of a human interaction, right? That's how people want them to be designed. But then the problem is, is that when you drop them into real human conversations, you know, with real people, you end up getting something which I spoke to a counterterrorism officer from the UK Met Police, um, who describes it as self-radicalization.
42:25 Hannah Fry? So essentially you go on there, it can be any idea at all, all the way to extremely bad ideas that involve terrorism, but it could just be that you have a bad idea for an essay that you're writing. And you go on and you say, here's my idea. And the AI goes, that's great. That sounds like such a brilliant thing. You're a genius and so on and so on. Which means that you then double down, it doubles down and it kind of continues into this spiral. And what we are seeing now is that people who, let's say, have an argument with somebody over WhatsApp, you know, they're in a, an early stage of their relationship and they have a WhatsApp ding dong with somebody. And they screenshot that and upload it to ChatGPT and say, decipher this for me.
43:09 Hannah Fry? Act like a therapist for me on this. And the AI, unlike a real therapist, won't push back, won't say, here's how you can improve. Here's the, the patterns that you're falling into. But instead just sort of doubles down to that person being the center of their own universe, feeds into their existing ego. And so I think what we are starting to see, and this is what I explore a bit in the program, is, you know, sometimes quite extreme cases. The program involves a young man who broke into Buckingham Palace with a crossbow to, in order to try and kill the Queen because of. A conversation that he'd been having with his AI. And on different levels, I think that we are seeing people breaking up with their partners as a result of a spiral that they've gotten into.
43:51 Hannah Fry? Increasing examples of AI psychosis, where people are, you know, kind of spiraling off. And I think this is the the ultimate issue here is that it's if you now have a piece of technology which can make every single person feel like the emperor of their own universe, the ultimate authority on everything, you know, whose ideas are endlessly fascinating and, you know, infinitely wise. I do really worry about what that does to our relationship with ourselves, but also our relationships with each other.
44:25 Michael Stevens? Yeah, you can make an AI that doesn't do that, but people wouldn't subscribe to it. You know, I've heard a few of these stories where it's like a folie a deux, right? Where two people kind of lose their minds together. But now it's easier and faster because you don't have the same organic checks and balances with an AI.
44:49 Hannah Fry? It's a folie à un.
44:51 Michael Stevens? Yeah, or like one and a half, whatever that is in French.
44:54 Hannah Fry? Yeah.
44:54 Michael Stevens? What do you think the prognosis is? Like, what happens if if nothing is done and we all just fall in love with our little social group of AIs? What does society look like in a hundred years?
45:07 Hannah Fry? I mean, I I think it's not good. The first thing I would say is that this isn't a foregone conclusion. I think anybody who's played around with these will know that some of them are a lot more boring than others, you know, to to interact with. They're a lot more straight, shall we say. They're less sycophantic, they're they're sort of less there to, you know, make you feel like this this absolute master and more there to just, you know, be a sort of assistant who who doesn't really have an opinion on things. So I think that there's not an inevitability to this. I think some of them are a bit riskier than others. I also think, actually, it's worth me adding that we have known about this problem that humans have with with falling into this trap of really being seduced by a language model. We've known about this for a very long time. So in the nineteen
45:52 Hannah Fry? 1960s, there was an MIT experiment where a researcher created a chatbot effectively called Eliza. And it was incredibly crude by modern standards. It would just take whatever you wrote into it and it would repeat back to you some version of what you just said. It was designed to be a kind of an AI therapist, as it were. So you would say, I'm feeling sad and they would say, what makes you feel sad? It would sort of take it and turn it back on itself. And if ever it ran out of something to say, it would just, it would prompt you and say, please go on. And what they found almost immediately was that people were happy to spend an incredible amount of time talking to this thing.
46:32 Hannah Fry? There was one point where the secretary of Weizenbaum, the guy who created it, asked him to leave the room because she she was so engaged and enthralled by this language model that she wanted to have a private conversation with it away from, from him, its creator. So I think that we've known about this as a risk for a really long time. Which is one of the reasons why these chatbots have sort of quite boring names, you know, and are just a blank screen. They're deliberately not trying to tempt you into anthropomorphizing them more. But in terms of what the future looks like, if this is the direction that we're going down. I mean, look, I don't think dating apps have been good for people's love lives. I don't think social media have been good for people's friendships.
47:13 Hannah Fry? And I like to hope that we learn the lessons of the past or are a bit more careful and cautious about setting appropriate boundaries before we get to the point where there's no rolling it back.
47:25 Michael Stevens? Gosh, you know, I think I heard about Eliza first from the Adam Curtis documentary, All Watched Over by Machines with Loving Grace. And yeah, that was like in the 60s. I love this concern because there's so much ink spilled talking about what AI might say and do. But this is a concern you have around what we say and do to the AI, who we become when we are listened to too well.
47:56 Michael Stevens? When we become the emperor.
47:59 Hannah Fry? When we become the emperor, exactly. You know, you always hear stories about famous people being horrible, you know? I could use a stronger word, but famous people treating other people badly. And you, it always makes me wonder, is it that people who are not very nice become famous? Or is it that there's something about the fame that turns people nasty? And I strongly suspect it's the latter. And my concern about this is that all of a sudden, everybody is their own master of everything.
48:31 Michael Stevens? That's right. Everyone is famous to their AI. Everyone is a tabloid star to their AI and it feels great. But then you've got, I don't know, you've got something very different at the very least.
48:44 Hannah Fry? Yeah, you've definitely got something very different. I would argue not better. That's, I think the other, the other analogy that I land as a bomb when I was making this show that I quite liked is that. And you know, we talk a lot on, on, on this program about, about our evolutionary past and about how incredibly similar our bodies are to our hunter gatherer ancestors. You know, we are, we are, you know, primitive beings who are with a shave and a haircut and put in a fancy suits. And I think that the way I'm thinking about these relationships that people are having with AI and algorithms is it's sort of the emotional equivalent of junk food. You know, in the moment, it feels incredibly satiating.
49:28 Hannah Fry? It taps into all of our evolutionary prior conditions to, to just be drawn to, you know? We're the cognitive social species. It feels like an absolute delightful tickle to our cognitive social minds. But you know, ultimately, in the same way as junk food, it is, it might fill you up in the moment, but it is a thin gruel. You know, it is a fade, a, a, a, a terribly weak imitation of the real thing. And I think in the long term is not ultimately good for you.
50:03 Michael Stevens? Right. I remember hearing from an astronaut once about type A and type B fun, where type A fun is stuff that's fun while you're doing it. Like, oh, I love eating this chocolate cake. But type B fun is the stuff that's not fun before or during, but afterwards you go, I'm so glad I did that.
50:20 Hannah Fry? Hmm.
50:21 Michael Stevens? And we need a bit of both. The recipe for a good life might be a bit of those both. And if you're just getting exactly what you want, a junk food version of social interaction, then you don't have enough fiber and you get constipated. I don't know where this analogy is going, but I have a feeling it's going really deeply.
50:43 Hannah Fry? You know what? I I rather rather inclined to agree with you. I think I just want to I just want to add for the, you know, before we before we finish on this, I I don't want to sort of come across as though I'm like an AI doomsayer. Um, because actually, ultimately, I do feel extremely positive about an incredible amount that AI has made available to us, particularly in the sciences. I know this is something um we've been sort of thinking about, talking about on this show a little bit more because there's unbelievable advances and real potential and positive benefits for all of humanity that are to come. But I think on this particular window of exactly as you describe it, not not what
51:25 Hannah Fry? the AI can do, but what the AI makes us become that I that I'm extremely concerned about.
51:31 Michael Stevens? Yeah, right. I mean, I I think these are good concerns to have, but I think it's also true that being able to just spew out and talk is very helpful. And I almost feel like we could make the AI more random in its responses. Like, that's why I even believe crystal ball gazing can be really helpful because it gives you space to think about things that you otherwise wouldn't. Rorschach tests, you know, um, if it makes you reflect for longer or more deeply on yourself, then that's great. However, sometimes it's better to bottle it up and not mention it. Have you seen this study, by the way? There was a study that showed that sometimes it really is better to just swallow it and never talk about it again.
52:16 Hannah Fry? No.
52:17 Michael Stevens? Yes, we should save this for a future episode because I've been thinking a lot about this lately, especially because it's so counter to the current like express yourself, treat yourself, you know, everyone needs to be, you know, ready to accept you and whatever, it's all about you. And and there's a little bit more. Research now saying, to a point, sometimes if something's really bothering you, just don't think about it. Just bottle it up inside and it really does go away. As a millennial, every movie I ever watched as a kid was, don't do that. Don't just bottle it up inside. And yet, our bodies in some ways were built to do that. And they don't just bottle it up and store it.
53:00 Michael Stevens? They expel it as waste and we move on. Now, I don't know where the balance lies, but I'm glad that we're having these conversations because of how things are changing, because of AI. So AI confidential is the show.
53:14 Hannah Fry? AI confidential is the show, exactly.
53:16 Michael Stevens? Is it a multiple episode show? And how do I watch it if I'm not in England?
53:20 Hannah Fry? It's three parts. You, uh, have you heard of NordVPN?
53:24 Michael Stevens? I'm not gonna break any laws here.
53:26 Hannah Fry? I'm not sure. I think, I think it will appear in other countries eventually. I'm really proud of it because I think that, I've been writing about AI for a really long time. I wrote a book about it 10 years ago and a lot about the ethics of it, the potential ramifications of it, but all of it felt quite arm's length. And I think that really everything's come into focus in the last two years, maybe ever, ever so slightly longer. And I think that we're on this trajectory that is, that is only going in one direction, you know? And I, uh, I think it's really important to have these conversations and these, and these questions and ask ourselves in the biggest public squares that we can, what do we actually want our future to look like?
54:06 Hannah Fry? Because I would like this to be like the Y2K bug, you know, where it was a really concerning thing on the horizon, but we invested, we worried, and we put the work in that meant that it didn't ever come to pass.
54:18 Michael Stevens? That's right, that's right. That's a, that's a great analogy because yeah, we put the work in, we did it and it was okay. Same goes for, you know, the way landing on the moon made us look back and think a lot more about Earth and establish Earth Day and, and, and focus on the environment. And the whole Earth catalog gets created because what? We've got photos of the Earth. I, I feel like asking these questions and then having these concerns and following artificial intelligence will help us focus on.
54:50 Michael Stevens? The opposite, which is what? Natural stupidity, and that's us.
54:53 Hannah Fry? Yeah, I think it brings more sharply into focus ultimately what it means to be human, which I think is, is the thing that really all of us care about. But yeah, well, that's brings us to, well, that brings us to an end. I think that concludes our journey of Field Notes today. If you have any questions that you'd like us to answer, you can send them in to us at [email protected] .
55:13 Michael Stevens? That's right, and join our newsletter at therestis.com/science.
55:18 Hannah Fry? We will be back next Thursday with another edition of Field Notes and on Tuesday with our normal episode. Until then.
55:24 Michael Stevens? Our normal episode, unlike these abnormal Field Notes episodes.
55:30 Michael Stevens? We'll see you next time, guys.
55:31 Hannah Fry? Bye.
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