In short
The episode traces the origins and spread of cybernetics (control and communication in animals and machines) from WWII radar and anti-aircraft prediction to later uses in organizations, cities, ecology, and modern AI talk.
Guests (backgrounds)
- Jacob Ward, historian of science and technology at Maastricht University.
- John Agar, Professor of Science and Technology Studies at University College London.
- Areet Halpin, Lighthouse Professor and Chair of Digital Cultures at Technische Universität Dresden.
Key claims
- Cybernetics emerged from WWII “total war,” where speed and new media required modeling information flow and human-machine behavior.
- Feedback loops replaced linear causality with goal-seeking circular causality.
- Wiener and Shannon helped define “information,” but with opposite intuitions (Wiener: more predictable = more information; Shannon: more random = more information).
- Cybernetics later faded as a named field, but its language and decision-making mindset persisted.
Notable examples
- MIT anti-aircraft radar predictors; Wiener’s 1948 Cybernetics and The Human Use of Human Beings.
- Claude Shannon at Bell Labs and wartime cryptography.
- McCulloch and Pitts’ neuron-as-logic “epistemological experiments” (AI foundations).
- Grey Walter’s robot tortoises ELMA/ELSI (1951 Festival of Britain).
- British post office telephone-exchange “self-healing” networks (James Merriman).
- Chile’s Project Cybersyn (Stafford Beer; telex-fed control room).
- Gaia hypothesis (Lovelock, Margulis) as planetary feedback loops.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOThe Origins of Cybernetics
0:00 to 1:02
Explore the historical context of cybernetics after WWII.
“This BBC podcast is supported by ads outside the UK.”
The Origins of Cybernetics
2:48 to 4:02
Explore the historical context of cybernetics after WWII.
“Before cybercrime, cyber security and cyberpunk, there was cybernetics.”
The Role of Technology in Warfare
4:02 to 5:26
Understand how new technologies influenced warfare and scientific endeavors.
“So can you tell us what it was about that conflict in particular that was such a challenge both for the military and for scientists?”
Human-Machine Interaction
5:26 to 7:40
Examine the relationship between humans and machines in cybernetics.
“And so under this condition, particularly during the Battle of Britain, at MIT, people started being concerned about war happening at speeds beyond the ability of human beings to process.”
Norbert Wiener's Contributions
7:40 to 10:40
Delve into Norbert Wiener's pivotal role in defining cybernetics.
“Okay, so in 1948, three years after the end of the war, Norbert Wiener, who you just mentioned, Erit, publishes a book called Cybernetics.”
Feedback Loops and Circular Causality
10:40 to 14:00
Learn about the concept of feedback loops and their significance in systems.
“from machines to the mind, to society, to language.”
Circular Causality in Cybernetics
14:00 to 14:30
Learn about the concept of circular causality in cybernetic systems and their goals.
Claude Shannon's Contribution
14:30 to 17:08
Explore Claude Shannon's role in defining information in the context of cybernetics.
“Norbert Wiener isn't, of course, the only figure in the story of cybernetics.”
Warren McCulloch and Walter Pitts
17:08 to 19:27
Discover the contributions of McCulloch and Pitts to the development of cybernetics and AI.
“Arit, there are two other characters in this early stage of cybernetics who I'm interested in.”
Epistemological Experiments in Cybernetics
19:27 to 20:57
Understand how McCulloch and Pitts reframed computation and thought through experiments.
“But actually, no, it's actually the foundation of AI today.”
Show all 28 chapters
Epistemological Experiments in Cybernetics
21:59 to 22:55
Understand how McCulloch and Pitts reframed computation and thought through experiments.
“Or a second-hand piece of technology that breaks in the first 10 minutes?”
Early AI: Brain vs. Mind Modeling
23:31 to 24:25
Delve into the differences between brain modeling and mind modeling in AI.
“Okay, let me take that on with you, Jacob, because as you pointed out, Arit, This is really the early history of artificial intelligence that they were beginning to explore.”
Elmer and Elsie: The Robot Tortoises
24:25 to 26:40
Learn about Grey Walter's robot tortoises and their implications for cybernetics.
“And I really want you to be as simple as possible here because I've been struggling with this.”
Self-Awareness in Machines
26:40 to 28:00
Discuss the comparison between machines and animals in the context of self-awareness.
“that was meant to be a tonic to the nation and cheer us all up after austerity and things like that.”
The Debate on Machines and Self-Awareness
28:00 to 30:08
Explore the complex relationship between machines and human self-awareness in cybernetics.
“living phenomena like attraction, like self-awareness, like movement and responding to what each other are doing.”
The Psychological Implications of Cybernetics
30:08 to 31:32
Discuss the psychological implications of considering machines as thinking entities.
“would provoke actually quite disquiet and denunciation even on the BBC.”
Causality and Decision-Making in Machines
31:32 to 33:55
Learn about the challenges machines face regarding causality and decision-making.
“And he's in a kind of conversation about whether machines could become autonomous, kind of pre-conversation about artificial general intelligence, if you will.”
Cybernetics in Bureaucratic Organizations
33:55 to 36:58
Discover how cybernetics influenced the management of large organizations like the post office.
“Jacob, how do we then get from, you know, the issue of the anti-aircraft gun, for example, to the sort of bureaucratic cybernetics of the post office?”
Project Cybersyn: Cybernetics in Chile
36:58 to 39:53
Examine the implementation of cybernetics in Chile through Project Cybersyn.
“the computers can reroute the call via another set of telephone exchanges.”
The Influence of Cybernetics on Smart Cities
39:53 to 42:00
Understand how cybernetics has shaped the concept of smart cities and urban planning.
“Can you tell us about cybernetics and smart cities?”
The Gaia Hypothesis and Cybernetics
42:00 to 44:33
Explore how cybernetics influences ecological theories like the Gaia hypothesis.
“It's environmental one and human ones, and try to understand the impact of human behavior on the planet.”
Cybernetics' Legacy and Current Influence
44:33 to 46:58
Discuss the legacies of cybernetics and how its concepts permeate discussions today.
“John, these days we don't hear much talk about cybernetics.”
Cybernetics and Marshall McLuhan
46:58 to 47:51
Examine the relationship between cybernetics and McLuhan's work on media.
“destruction and mass unemployment and worse, right?”
Soviet and Western Cybernetics
47:51 to 51:49
Analyze the differences between Soviet and Western approaches to cybernetics.
“Um, first of all, there's one thing that I wanted to ask.”
Cybernetics in Decision Making
51:49 to 55:54
Investigate how cybernetics has been used as a tool for decision making in governance.
“So in the Soviet Union, attitudes of cybernetics undergo a complete reversal.”
Exploring Cybernetics and Futurology
56:00 to 57:01
Learn about the intersection of cybernetics and predictions for the future.
“There's an overlap with another field, another post-war science that dies away, which is the science of futurology.”
Kurt Vonnegut's Dystopian Vision
57:01 to 57:15
Discover how Kurt Vonnegut's works reflect on automation's impact on society.
“So in 1952, Kurt Vonnegut published his first novel, Player Piano, in which it's a dystopia all about the terrible effects of automation.”
Production Credits and Podcast Recommendations
57:15 to 59:18
Hear production details and a related podcast recommendation.
“In Our Time with Misha Glenny was produced by Martha Owen.”
Transcript
Automatic transcript. May contain errors.0:00This BBC podcast is supported by ads outside the UK.
0:29CFO. LinkedIn has a word for that. Bull spend. Now you can invest in what looks good to your CFO. LinkedIn ads generates the highest ROAS of all major ad networks. You'll reach the right buyers because you can target by company, industry, job title, and more. So cut the bull spend. Advertise on LinkedIn. The network that works for you. Spend$250 on your first campaign on LinkedIn ads and get a 250 credit for the next one. Just go to linkedin.com slash broadcast. That's linkedin.com slash broadcast. Terms and conditions apply. What's up y 'all? Summer's got a different tempo. Everything's a little looser, brighter.
1:15One plan turns into another. You hear something, you stay a little longer. Next thing you know, you're somewhere you didn't plan to be. It's those in-between moments. That's where the ideas hit. Conversations stretch out. Little memories sneak up on you. Sometimes it's just about what's in your hand. That color. That chill. The new Tropical Butterfly Refresher from Starbucks. Guava and passion fruit flavors with mango pineapple flavored pearls. Yeah, that feels like summer before you even taste it. Funny how one small stop becomes the best part of the day. Start your summer rhythm with Starbucks.
1:52Try the new Tropical Butterfly Refresher from Starbucks.
2:24America's social casino Download the Moto Casino app today.
2:31This is In Our Time from BBC Radio 4 and this is one of more than a thousand episodes you can find in the In Our Time archive. A reading list for this edition can be found in the episode description wherever you're listening. I hope you enjoy the programme. Hello. Before cybercrime, cyber security and cyberpunk, there was cybernetics. The writer William Gibson first used the term cyberspace in the 1980s and the prefix cyber has become a way to denote anything which relates to digital technology and the internet. But cyber originated even earlier, in the 1940s, with cybernetics, the study of communication and control in animals and machines.
3:17Cybernetics had taken its name from the ancient Greek word for steersman, the person who stands at the helm of a ship to steer or govern its course. In cybernetics, everything could be seen as a system which used so-called feedback loops to adjust its own course of action, from thermostats to the human brain. With me to discuss cybernetics are Jacob Ward, historian of science and technology at Maastricht University, John Eger, Professor of Science and Technology Studies at University College London and Areet Halpin, Lighthouse Professor and Chair of Digital Cultures at the Technische Universität in Dresden.
3:58Areet, I'd like to come to you first. Cybernetics emerges after the Second World War. So can you tell us what it was about that conflict in particular that was such a challenge both for the military and for scientists? Well, blitzkrieg, total war, when we think of World War II, it comes under these very totalizing terms that imply the fact that there were entirely new kind of groupings of technology and media coming together to battle this war. And we had, indeed, a new scale and speed of warfare, blitzkrieg, aerial warfare, but also new media. Radio, for example, had put Hitler in power, cinema, propaganda.
4:46So you have an entirely new combination of things that people had to deal with and contend with, and scientists and engineers had to. And in the face of the kind of speed of battle and the blitzkrieg, a new level and size of scientific endeavor emerged as the United States and Great Britain mobilized. They recruited scientists, engineers, but not just scientists and engineers, also psychologists, psychiatrists, anthropologists, sociologists. This was total war. And like I said, it mattered as much how we influenced people's brains and minds and propaganda as the actual technologies and kind of material structures of the war.
5:26And so under this condition, particularly during the Battle of Britain, at MIT, people started being concerned about war happening at speeds beyond the ability of human beings to process. MIT being the Massachusetts Institute of Technology. And at MIT, they were working on a particular issue that really kind of, I think, identified this war, which was a new idea that information and communication, in some sense, is power and that you have to manage and control them to win the battle. And at MIT, they were working on radar, which is basically how do you see the enemy before they see you, right?
6:05And along with the radar, they were also working on a certain question of basically how do you shoot a plane down, which isn't that easy because it's moving pretty fast, and how do you process signals, which it sounds pretty simple to see a plane, but really telling a plane from a flock of birds is not that easy when you're trying to figure out how radio waves are changing. And basically you need to predict where the machine will be. So people were preoccupied with signal processing, but they're also preoccupied with where the plane will be. And under these conditions, bringing together mathematicians and engineers together, certain people, Norbert Wiener, a mathematician at MIT being one of them, started thinking that maybe people act repeatedly, repetitively, or mathematically, or algorithmically under stress.
6:51That is to say that pilots, for example, might veer left or right on a systematic and regular basis. So the fundamental innovation here was to, A, try to mathematically calculate human behavior and to make it seem mechanical, basically, so making machines and humans equivalent. And secondly, to basically attempt to understand the whole world in terms of information or communication. Let me just drill down a little bit on that issue of humans and machines that you raised. So researchers are trying to create models around the world to tackle this issue of total war. But what was new about the models in terms of that relationship between humans and machines?
7:38One of the key features, especially in cybernetics, was the idea of feedback, that there's a relationship going on, in this case, between the gun and the plane, not a very friendly one, but nonetheless a relationship. you know they're in some sense talking to each other in the mathematical modes of communication that they're that what the plane does gets the gun to change its behavior and what the gun does you know impacts what the plane is doing and so people started to think about things not as separate objects but as always relational or communicating objects and trying to turn that communication into something they could mathematically represent or compute.
8:25Okay, so in 1948, three years after the end of the war, Norbert Wiener, who you just mentioned, Erit, publishes a book called Cybernetics. John Agar, can you tell us about that book and something about Norbert Wiener as well? Yeah, because as I've just been saying, cybernetics is born from this very specific moment of warfare, of an anti-aircraft gun trying to track an oncoming aircraft or bomber. Very, very specific, also very, very secret. But within a few years, it's going to be a science that is known to tens of thousands of people. And it's also given a name, which is cybernetics. Now, why that happens is because of one of the mathematicians that was at the heart of the work being done on anti-aircraft prediction at Massachusetts Institute of Technology.
9:28That mathematician was Norbert Wiener. Now, Norbert Wiener is a really interesting figure. He was a child prodigy. He was born at the end of the 19th century. he was a child prodigy in a sense that he was reading at the age of four he did his undergraduate degree in his teens he had his phd done by the age of 18 um he was uh homeschooled fearsomely homeschooled by his father leo weiner who had his own ideas about education so he went through this very unusual upbringing um and became in some sense known as a prodigy as this young incredibly bright person who for a while was trying to find out what he was good at but he turns out he's extremely good at mathematics and the war work he was doing there was turning that mathematics on to understanding aircraft predictors and as he was doing that he was talking to people who understand the mind and brain and talking to engineers and from that is born this idea that there could be a whole new science, a whole new way of understanding almost everything from machines to the mind, to society, to language.
10:45So out of that is born this incredibly ambitious scientific program. Now, he wants to tell the world about that. And it appears in a book called Cybernetics. And it's given that term by Norbert Wiener. He wanted the term that captures something about self-regulation and how things change and adapt through feedback. And he remembered this Greek word kybernetes, which means steersman of a ship in Greek. It's also got overtones of being a governor of a state. So it has a sort of ambitious character as well. And he writes this up in the book. It appears in 1948. It's a very odd book. It's full of mathematical equations.
11:31It starts with an essay on the nature of time. It ends with a reflection on how do you get machines to learn how to play chess and covers an awful lot in between. And I have to say, I attempted to read cybernetics and I fell very early on at one of the first hurdles. But he does point out that he wrote another book called The Human Use of Human Beings, which I've got a copy here, which he sort of describes in the introduction as cybernetics for dummies. So can you define in as pithy a way as possible what cybernetics is? So the subtitle of Cybernetics, the book, is Control and Communication in Animal and Machine.
12:19So it's this science which claims it can, through understanding feedback processes, processes, which is about communication and therefore about information, about the movement of information in and out of a system. Through that, you have this way of understanding how machines can produce purposeful behaviour, how minds might work, perhaps how societies change. So it's a science of feedback and communication and information. Thank you very much. Jacob Ward, can you give us a better idea of these feedback loops which seem to be so central to cybernetics and also the idea of circular causality? Yeah, so I'll start with the example that Erit introduced of the anti-aircraft gun trying to shoot down the enemy plane.
13:13And Norbert Wiener and his team at MIT were working on a device called a predictor that you would attach to the anti-aircraft gun that would predict where the plane was going to be. It would use statistics to figure out the general predictable directions that the plane would take, use radar to detect where the plane had been, and move the anti-aircraft gun so the gun could try and shoot down the plane. And crucially, as part of this kind of model of feedback and of cybernetics, is that the predictor using radar could then detect whether or not it had shot down the plane. And if it had missed the plane, had moved the gun too far in one direction, for example, it could recalculate and move the gun again, kind of taking into account what it had just calculated.
13:53So the kind of key idea there is that this isn't a linear form of causality. It's not just the predictor moves the gun, the gun shoots down the plane. it's not x causes y but it's that the predictor moves the gun the gun shoots down the plane or not and then recalculates so it's x causes y y feeds back into x and you just rinse and repeat until hopefully from the point of the anti-aircraft gunner you shoot down the plane so this is this idea that in these systems causality is not linear but circular it has a goal right this is not just a circular system that exists with no purpose. It has a goal.
14:30So these are circular systems that are goal-seeking, and they're always going through these circular causal loops of feedback in order to achieve their goal, whether or not that's shooting down a plane or whatever an animal does to survive in its environment. So there's a purpose to cybernetics. Absolutely, yeah. Norbert Wiener isn't, of course, the only figure in the story of cybernetics. Can you tell us a bit about Claude Shannon and how he comes into all of this? So Claude Shannon, like we know, is another fascinating individual. Anthropics AI model Claude is actually named after Claude Shannon.
15:07And he is he's a mathematician and electrical engineer who works at Bell Telephone Laboratories in the USA. And we've talked a lot about these systems as a kind of form of control, controlling the anti-aircraft gun or controlling the animal, the mind controls the animal. But the other crucial part of that is information. If you're going to have these feedback loops, you want to make sure that there's a really clear signal of information being transmitted as part of that feedback. And both Shannon and Wiener, actually, as part of their work during World War II, come up with mathematical theories that define what information is.
15:44They're both trying to figure out, can you calculate mathematically how much information a message has. Weiner is part of his anti-aircraft gunnery research. For Shannon, it's part of his encryption and cryptography research. And so the interesting thing about their theories is they're almost exactly identical, except Shannon's definition of information is the opposite of Weiner's. So Weiner says, well, you know, the more predictable, the more clear a message is, the more information it has, which seems completely logical. Shannon says the less predictable, the more chaotic and messy and disordered the message is, the more information it has, which seems completely unintuitive.
16:22But if you think about it from the perspective of code breaking, Shannon was working on a system called SIGSILI, also known as the Mysterious Project X, who was working on it with people like Alan Turing. And it was to have an encrypted communications line between the allies. It was used by people like Roosevelt and Churchill and Eisenhower. And if you think about information from a code breaking perspective, if you can perfectly predict a message. If you know what Churchill is going to send to Eisenhower, you don't need to spend any effort on breaking it. You don't get any new information by breaking the code.
16:53But if the message, the encrypted message, appears completely random, then you can't predict what they're saying. It's very hard to break the code. And if you do break the code, you get a lot more information. So that's this completely unintuitive definition of information that he has. Thank you, Jacob. Arit, there are two other characters in this early stage of cybernetics who I'm interested in. One is Warren Sturgis McCulloch, and the other is Walter Pitts. Can you tell us about them and how they influenced the way cybernetics developed? Warren McCulloch was a psychiatrist and actually had been in World War I on ships, kind of wondering a little bit about signals and messages, but also as a psychiatrist, he also worked with a lot of people who'd undergone war trauma and things like that.
17:41And so he was really interested in these questions about hallucination, why people have traumatic experiences, how phantom limb, these kind of things that seem both very material and yet very imagined, right? And so he was really interested in this mind-body thing. And Walter Pitts was another kind of mathematical genius who came out of a really impoverished background, didn't have really a formal education, but walked into the Detroit Library, for example, at age 13 and picked up the Principia Mathematica, corrected it, apparently wrote to Bertrand Russell and got invited to Cambridge, but he was 13, so he couldn't go and also impoverished.
18:24but managed to get kind of picked up by Norbert Wiener and this group of cyberneticians as kind of a potential prodigy and kind of brought into this circle at MIT that was working on cybernetics. And, you know, you have to remember that at this period of time, people didn't know what a machine was or what a brain was. Like we didn't have fMRIs and we didn't have digital computers, you know, we didn't have these kind of things. And in fact, people were what, you know, if we could start modeling human behavior mathematically and computationally, how would we rethink what people are and what machines are?
19:02And Warren McCullough and Walter Pitts, under the sort of influence of all these people modeling brains and modeling machines during the war, started to ask, what is a man that he may know a number and a number that it may be known by man? Now, this sounds like the kind of like obscure sort of like esoteric philosophical thing that none of us would care about, which maybe it is. But actually, no, it's actually the foundation of AI today. And essentially, it was a reframing of then Scheideng's problem, which was a question of what's the limit of computation? What's the limit of what we can represent logically in the world?
19:43And their answer to that wasn't an intuitive one. It was to build a new form of experiment. McCulloch called these epistemological experiments. Why? Because they would test what we thought we knew about computing and what we thought we knew about thinking. And the experiment went something like this. Imagine you have a neuron, which we do. Imagine that the neuron fires on or off, which it does more or less a little more complexly. Imagine that that on-off is the equivalent of a logic statement. True, false. Right, wrong. Yes, no. If you imagine all these things, then we've just broken the entire brain-body split.
20:30it, we've shown that there's actually a material grounding to the brain and to thought, to higher level thinking. And not only that, we've reframed both what a computer can be, because these are logical statements being made by supposedly a biological entity, and we've rethought what a brain could be because it's built up from these little units. We all can agree that housing is expensive. Rent, mortgage, it doesn't matter which one you're paying, it stings every month. But Built can make you feel a little better. Let me explain. Built started out rewarding members on their rent. Now, as of 2026, Built members can also earn points on mortgage payments wherever they live.
21:16Every housing payment earns you points you can use toward flights with top travel partners like United & Hyatt, Lyft rides, Amazon.com purchases, and so much more. And here's what you might not expect. Build members can also get access to a neighborhood concierge. It can make restaurant reservations, book fitness classes, and find new local spots, all while being rewarded at more than 45 ,000 merchant partners. It's like having a personal assistant baked into where you live. It's simple. Being a renter and now owning a home is better with Build. Join the membership for where you live at joinbuild.com slash podcasts.
21:51That's J-O-I-N-B-I-L-T dot com slash podcasts. Make sure to use our URL so they know we sent you. Ever invest in something that seemed incredible at first, but didn't live up to the hype? Like those$5 roses at a gas station? Or a second-hand piece of technology that breaks in the first 10 minutes? Marketers know that feeling. We optimize for the numbers that look great. Impressions, reach, and reacts. But when they don't show revenue, well, that's a not-so-great conversation with the CFO. LinkedIn has a word for that. Bullspend. Now you can invest in what looks good to your CFO. LinkedIn Ads generates the highest ROAS of all major ad networks.
22:35You'll reach the right buyers because you can target by company, industry, job title, and more. So cut the bullspend. Advertise on LinkedIn, the network that works for you. Spend$250 on your first campaign on LinkedIn ads and get a 250 credit for the next one. Just go to linkedin.com slash broadcast. That's linkedin.com slash broadcast. Terms and conditions apply. Here's golf legend John Daly. Hell yeah, these wins are piling up faster than my divorces. I only spent on Moto, America's social casino. You know, I've won a couple of majors. And on Moto, I've won majors, grands, and epic jackpots.
23:13on their classic Vegas slots with huge, huge bonus rounds. Moto Casino adds new games and awards players free coins every single day. Grip it and spend it on Moto Casino. Download the Moto Casino app today. Moto Casino is a social casino. What you have prohibited, no purchase necessary. Visit Moto.us for more details. Moto Casino. America's Social Casino.
24:06Okay, let me take that on with you, Jacob, because as you pointed out, Arit, This is really the early history of artificial intelligence that they were beginning to explore. Can you tell us, Jacob, what the difference between brain modeling is and mind modeling? And I really want you to be as simple as possible here because I've been struggling with this. Sure. So what Arit has just been telling us about is the brain modeling side of artificial intelligence. So this idea that if you can represent the nervous system, the brain, as a series of logical statements, and Claude Shannon had shown that you can also represent logical statements through electrical circuits, right?
24:52It presumably follows that you can then use electrical circuits to recreate a nervous system that produces a kind of logical pattern of thought. That's simplistically the brain modeling side of things. Let's build electrical circuits that kind of recreate logical systems that are modeled on the nervous system. And that sets up a whole direction of AI research that still lives on today in things like neural networks, for example. So there's a researcher, Frank Rosenblatt at Cornell in the USA, who builds a machine called a Perceptron, which is a neural network that can learn to recognize shapes using electrical circuits.
25:30The other side of early AI research at this time is mind modeling. And effectively, let's not worry about trying to physically build a brain in electric circuits. Let's not worry about how you could actually represent the nervous architecture of the brain in a computer or in electronics. Instead, let's worry about simulating how a human reasons, right? How do humans think? And can we use a digital computer to simulate that? So forget about the brain. Think about the mind instead. Try to simulate how a human mind works. So, John Egger, let me go on to you about how they went about building these machines and putting this into practice.
26:12And perhaps you can start by telling us about Elmer and Elsie, the tortoises. What were they? Yeah. So we're going to jump over the Atlantic. We're going to come to Britain because there were cybernetics and cyberneticians very active in Britain as well as the United States as elsewhere in the world. Let me take you to 1951. 1951 was the year of the Festival of Britain. And millions of people went to see exhibitions that was meant to be a tonic to the nation and cheer us all up after austerity and things like that. What they would have seen there were pairs of little robots. These were robot tortoises that were made by a neurologist called Grey Walter.
27:04Grey Walter worked at a mental hospital just outside Bristol, but he had this intense interest in building mechanical things that seemed, and he thought actually did, produce lifelike behaviour. So just as we just heard about brain building, Grey Walter put what he thought was equivalent of a couple of neurons at the centre of these mechanical robot tortoises. And these tortoises also could respond to light, they could respond to touch, and with simple feedback mechanisms, they could respond to each other. So they would respond to each other's lights, they would see their own light in a mirror and they would move towards it.
27:50If they bumped into something, they would recoil. And Greywater thought that these little mechanical robot tortoises with the equivalent of a couple of neurons as electrical circuits were beginning to show absolutely mechanical, lifelike, living phenomena like attraction, like self-awareness, like movement and responding to what each other are doing. and people saw that, saw these tortoises. One was called ELMA, one was called ELSI. They're acronyms that essentially stand for electronic machines of various kinds and they were deeply popular. But you mentioned the word self-awareness there and of course there's a lot of discussion these days about artificial intelligence and artificial general intelligence about machines becoming self-aware.
Read the full transcript
28:46But this constant comparison between machines and animals in cybernetics, where they seem to assume that animals and machines function in the same way, isn't there something specific about the human brain, which is it's not entirely rational? It doesn't follow logical patterns. so the cyberneticians would say absolutely we are giving you a science that describes living and non-living thinking non-thinking entities all in the same framework okay so they were really deeply interested in breaking down those boundaries between thinking and non-thinking living and non-living and of course this upset people there are people in the 1940s and 50s same time as when Turing was working when Grey Walter was displaying his tortoises when Norbert Wiener was publishing cybernetics who were deeply deeply upset by this idea there might be something troubling because it was suggesting that there wasn't anything unique about the human mind that you could recreate the human mind in machines and that seemed deeply, deeply threatening.
30:07So even something like the friendly tortoises would provoke actually quite disquiet and denunciation even on the BBC. Heaven for fans. Greywater gave talks on the BBC and very heavyweight respondents came in and said, you're talking nonsense. I would say pessimistic optimism might be the right term. I mean, that might be the right term for the age. Like contemporary thinkers in science technology studies that are critically thinking, you know, don't want to be technophobic and want to be more, you know, techno positive, shall we say, are saying, you know, there's a silver lining behind this whole de-centering, making humans equivalent to machines and animals and everything else.
30:57And that is that indeed that might actually reconfigure how we think about ourselves. And there might actually be an opportunity, new opportunities to work with our technologies that they may have possibilities to break certain ideas about, say, biological determinism or sort of social order as it was beforehand. And obviously these are very challenging technologies. But cyberneticians themselves, I would totally agree with John. Like they, you know, at one point Warren McCullough says to another very famous mathematician, John von Neumann, who kind of constructed the digital computer and did all the math for the bomb.
31:44And he's in a kind of conversation about whether machines could become autonomous, kind of pre-conversation about artificial general intelligence, if you will. So McCullough said about the neural net, he said, I think what we did and did fairly well is build a brain if only it were to go psychotic. And this is a quote, OK? I'm just quoting pretty much. What did he mean by psychotic in this case? What he meant, and it's a fundamental problem for computing actually in general and for neural networks as we all know they have a problem with causality. We know that large language models, for example, can't really assign how they learned.
32:24They just kind of replicate or create an end point, but they have a problem with time and space, in short. Machines can't tell, for example, if the data is new or if it's retrieved from memory. And in order to get the math and the logic of the neural net to work, you basically had to evacuate time. And this is an ongoing issue. But aside from the theory of it, I also want to mention that a very big part of cybernetics and things like game theory was the idea that human beings don't make good decisions. And therefore they need computers. They need mathematical and rational tools because we're not rational.
33:06But when you talk about the psychosis, is that, and you've mentioned large language models, is that the same as what we now understand to be hallucinations of large language models? It can be sometimes. I mean, a lot of times what we call hallucination might also just be sycophony, the machine generating response it thinks you want. But hallucination also is a key feature of this problem where machines are feeding back on the same data to a point where they're no longer capable of generating, let's say, an answer that fits the real world, for lack of a better word. So cybernetics during the 1950s and early 60s seems to turn up everywhere.
33:55It's not just in matters military. It's in sociology. It's in anthropology and so on. Jacob, how do we then get from, you know, the issue of the anti-aircraft gun, for example, to the sort of bureaucratic cybernetics of the post office? Tell us about the post office and why cybernetics was important to it. Yeah, so cybernetics isn't even just in science, right? It goes beyond science to business, to organizations, to governments, because a lot of the people working with cybernetics, they're not necessarily working on cutting edge science, innovations, AI, military research. They're working in more prosaic settings like large organizations.
34:38There's a foundational conference for artificial intelligence that happens in Teddington here in London at the National Physical Laboratory in 1958 called Mechanization of Thought Processes. But one of the interesting papers given there is a paper called To What Extent Can Administration Be Mechanized? And that's given by a British electrical engineer, James Merriman, who goes on to become the chief engineer of the post office. and the post office at the time ran Britain's telecommunications infrastructure. And Merriman and his engineers paid close attention to cybernetics. Merriman was at these conferences, his engineers went to symposia on cybernetics and information theory at Imperial College in London and they were trying to think about how can you apply cybernetics to a large organisation like the post office, which at the time was one of Britain's largest employers, but also had a big complex electrical network of telecom lines that sent telephone messages, telegraph messages, and so on.
35:38And they arrive at this vision of what they call a self-healing, self-governing network, that you could use cybernetics and kind of cybernetic theories to think about how you could embed computers into the network to control and organize all of the messages that are sent around the network, but to also organize all of the people that work for that network, tell them where to go, what they need to repair, where they're going to be working each day, and so on. And it leads to this statement that Merriman makes, and he says, information and control, which is a reference to cybernetics, it's one of the leading cybernetics journals at the time, he says, information and control is fundamental to the management of any large organization.
36:18So a lot of people at the time, they're not just thinking about cybernetics in these cutting-edge applications, they're also thinking about how it can be applied to large bureaucratic organisations. So when they're looking at the telephone exchange, what do they see? So at this point in time, a lot of telephone exchanges, which are what, you know, routes your call from one place to another, right? If you're in London and you're calling Edinburgh, it's not just a direct line, it has to go through various telephone exchanges to route the call from London to Edinburgh. And this is also the time where they're thinking about, okay, how can we computerize these telephone exchanges?
36:49How can we put computers in them to route all the traffic for us? And this lends itself to this idea of this self-governing, self-healing network, because if one communications link becomes disused or breaks down or something, the computers can reroute the call via another set of telephone exchanges. So it's, again, this kind of responsive system of feedback, thinking that, okay, that route isn't working, So we will update and regulate the system so we can find another route using these cybernetic computerized telephone exchanges. So there was another example of this, quite a memorable one, John, in Chile.
37:26Tell us about Project Cybersyn and what happened to it. So there's another British cybernetician called Stafford Beer, who is another very interesting, slightly eccentric figure, slightly an outsider figure, who has an epiphany when he reads Norbert Wiener's Cybernetics, thinks this is a clue to how to understand organisations. briefly he's employed by united steel in sheffield he proposes to reinvent the steel industry on cybernetics terms they show him the door he then does management consultancy for a bit and then he gets a call from chile and chile which had a long history of democratic government had recently elected Salvador Allende, a socialist who had nationalized parts of the Chilean economy and wanted to think about how to manage all these new big organizations that the Chilean state now had to look after.
38:35And they'd heard of cybernetics and they'd heard of Stafford Beer, who had published on management cybernetics and said, come to Chile. You can rearrange the state for us. and he joined this Chilean team, and together they produced this extraordinary plan, partly implemented, which would gather information from telex lines from around the country, gathering them together at a central control room. And this control room, I do encourage people to look it up online. Project CyberSyn stands for Cybernetic Synergy. The control room looks a little bit like the bridge on Star Trek on the USS Enterprise.
39:23It does a lot. It has these extraordinary chairs. You're surrounded by panels and flashing lights. But essentially, this was meant to be machines and humans working together, going back and forth, interacting with each other in order to make better decisions at the centre of a new cybernetic socialist country. So there's real ambition to cybernetics. Arete, can you tell us about smart cities, which people are talking about smart cities now all the time. Can you tell us about cybernetics and smart cities? Yeah, you know, cybernetics, as everyone here has already suggested, was a really compelling idea.
40:10And it spread like, I don't know, a good meme. It was very popular. And I think part of the popularity was the kind of new way of imagining organizational management at scale. And it was countries, as we just suggested, but it was also cities at MIT, which had a huge urban planning department. A lot of people there, particularly a couple of planners, one of them named Kevin Lynch, were really influenced by these ideas. But it also had a huge influence on people in ecology and ecosystems management. So individuals like the Odom brothers, who had been working with the atomic tests in the Marshall Islands, started tracing, for example, radiation moving through the ecosystem in the little fish and all the stuff.
41:00Because radiation makes a really good visualization tool. You can really trace it, the nitrogen and carbon cycles. And they started thinking about these nitrogen and carbon cycles as feedback loops and in terms of information and communication too, which goes to show you how widely these ideas were kind of interpreted. And the reason I'm bringing ecology is because it was a close integration to how people were thinking about urban systems and environmental systems. And the fact that you could manage an environment and an urban system with the same tools, the same idea, if you could map all the kind of feedback loops and flow, you could turn everything into a flow chart, you could plan better.
41:44You could manage the ecosystem better or the city. And so there was a lot of interchange between the two. And people like Buckminster Fuller, who's a really prominent kind of technologist and futurist, started imagining cities like New York City as sort of these metabolic systems. And eventually this went all the way up to the planet in a famous report called Limits to Growth in the 1970s that started the contemporary environmental movement and was an effort to computationally model all the world's systems. It's environmental one and human ones, and try to understand the impact of human behavior on the planet.
42:23So again, incredibly ambitious. And tell us a bit more, Jacob, about how it's used in climate theory later on, particularly here in Britain. So as Aritz mentioned, cybernetics influences ecological theory. A somewhat controversial ecological theory that it influences is the Gaia hypothesis. And that's promoted by a British scientist, James Lovelock, and an American microbiologist, Lynn Margulis. And the Gaia hypothesis states that all of the organisms on the planet kind of exist in this network of feedback loops that exist to kind of keep the Earth at a stable, kind of habitable condition, right?
43:01So they maintain the temperature, the humidity, the oxygen levels, and so on in a kind of habitable zone. So in other words, life maintains the Earth so that the Earth can sustain life. And that's controversial, A, because it's kind of too grand to prove, but B, because some people have used it to kind of claim that perhaps the Earth could resist climate change, right? It'll stay in a habitable zone. And when Lovelock first thinks about Guy Theory, he's not thinking about climate change. He's thinking about cybernetics. He speculates about a biological cybernetic system that will exist to keep an entire planet's physical and chemical systems in a habitable zone.
43:41One of the interesting things, and I think this also touches on how and why cybernetics begins to disappear, is Lovelock and Gaia theory become quite popular amongst more countercultural theorists of the environment. So Lovelock joins an association called the Lindisfarne Association, which is a New Age utopian group where he meets other theorists of energy and ecology and, you know, come up with all of these cybernetic utopian theories of kind of self -stabilizing planetary systems. And he publishes about Gaia in a countercultural journal called Co-Evolution Quarterly, which is read by many other cyberneticians, the anthropologist Gregory Bateson, for example, also popular amongst the counterculture.
44:23And these countercultural cyberneticians who are reading about Gaia theory really use themselves as a platform to elevate Gaia into this new ecological theory. But at the same time, it becomes tinged with this countercultural kind of vibe that begins to sap its kind of scientific legitimacy amongst the self-perceived serious scientists who want cybernetics to become a serious field. John, these days we don't hear much talk about cybernetics. it seems to have dissipated but what are its main legacies what what's important about cybernetics today so i think it's fair to say that throughout the history of cybernetics there have there's been opposition it's claimed too much it claims that humans animals machines are all equivalent this upsets people and when it gets associated with radical politics and countercultural ideas for some people this is this is too much so it's true to say that cybernetics as a branch of science i think dwindles in many areas but there are legacies in a way it's gone from deep secrecy from the war to everywhere within years that's from in the 1940s now it's almost apparently nowhere we don't hear this term cybernetics but in fact it is in it is everywhere is everywhere in the way we talk about ai for example just as norble wiener in the book human use of human beings warns against the automatic factory and says it's going to lead to mass automation and unemployment and devastating consequences for society, yet it has these fantastic opportunities if only we adopt the tool properly.
46:12Do you recognise that kind of way of talking? It's our way of talking about AI. The talk about whether or not it's conscious or not, the LLMs and the idea that we might be releasing machine consciousnesses into the world, this is precisely the language of Norbert Wiener and the warnings so the whole way we've ended up talking about information and information in society and big organizations and the dangers of science and technology this comes out of this language about AI from the 1940s a way of talking about technology so one of its legacies is in some ways a rather unhelpful way of talking about technology that only has these extremes of abundance and a world of leisure or world destruction and mass unemployment and worse, right?
47:11And we're trapped into ways of talking about machines being conscious in a way that is frankly unhelpful. So one of the legacies, unfortunately, is I think a style of talking about technology. My thanks to Jacob Ward, John Egar and Areet Halpen. Next week, fall in for the Radetzky March. That's the life and works of Josef Roth, a master of Central European literature. Thank you for listening. And the In Our Time podcast gets some extra time now with a few minutes of bonus material from Misha and his guests. OK, so now we can do the podcast bit where we relax a little. Um, first of all, there's one thing that I wanted to ask.
47:55When I was reading about this, when you were talking about this, there was one person I kept thinking about, and that was Marshall McLuhan. So do any of you have any thoughts about how important this was for McLuhan's work, the sociologist and communications theorist, and in particular, The Medium is the Message, which seems to somehow be intrinsic to cybernetics. A read. I mean, I can say that it was extremely influential because I think people have to remember that at the time, cybernetics was the kind of language for computing. I think John already mentioned that it really established a way of thinking about media and thinking about technology.
48:39It was also incredibly influential to many of the artistic and avant-garde kind of milieus that McLuhan often engaged with. And also because cybernetics was so invested in making it not just about computers. You know, one of the most remarkable things about this movement is the way it moves into modeling social systems, brains, humans, that really very quickly established that idea that the medium is indeed the message because the medium is anything. It doesn't just have to be digital. mcclurean's also got this idea of media technologies being extensions of the human yeah right so there's a sort of seamlessness back and forth between between the machine and the human in mcclurean's way of talking which i think is has got a cybernetic feel about it for sure the other thing is i think like a lot of cyberneticians marsh mcclurean is at that sort of edge of intellectual disrespectability and is also extremely exciting right there's something in common with a lot of cyberneticians and someone like Marshall McLuhan, as these intellectual figures who are constantly surprising and challenging and going where you don't think you should go, which is both exciting, but also slightly upsetting.
50:03And I think that just also points to, again, one of the reasons cybernetics begins to fracture a little bit. You know, for example, when it comes to information, right, one of the key debates in cybernetics is, do we think of information as purely kind of something that can be mathematically calculated or are we thinking about semantics, how much meaning information has, which is very interesting to linguists, for example, but people like Claude Channon don't want it to go in that direction. And so when you have characters like McLuhan or in another direction, Gregory Bateson, the anthropologist, for example, who really wants to push cybernetics into a completely kind of different direction, thinking about the relationship between the human mind and nature and ecology, that again, these figures like McLuhan, like Bateson, who are pushing cybernetics further and further, then the center cannot hold.
50:48I do also want to mention the Cold War elements. Cybernetics, in many accounts, also began losing its luster because of its appeal to socialist and communist causes. Not just the cyberscene example, which is actually a potent example of an alternative visions of cybernetics. There was also the Soviet cybernetics. And in fact, the very use of the term artificial intelligence came up to get American military funding outside of the rubric of cybernetics. And some of it is said to be that, you know, Marvin Minsky didn't like Norbert Wiener. But outside of that was probably a more sinister problem that cybernetics did actually have these possibilities of social management and planning, possibly socialist bent.
51:38Just on that to follow up, was there something identifiably specific about Soviet cybernetics that was different from Western cybernetics? Could I? So in the Soviet Union, attitudes of cybernetics undergo a complete reversal. So during the Stalinist years, so when cybernetics is published, cybernetics is defined in a Soviet encyclopedia as a reactionary Western pseudoscience that is all about the control of the worker and to make the worker into an instrument of war, right, and therefore should be rejected. After Khrushchev says Stalin was a bit of a mistake, that was a cult of personality, we should maybe think about something different, this opens the door to scientists in Soviet institutes, research institutes, and suddenly cybernetics and talking in cybernetic terms, cyberspeak, becomes this Soviet enthusiasm for a few years as well.
52:39So it really does mean different things in different countries and at different times. So, Jacob, if I understood rightly what you were saying, cybernetics falls into obscurity because of its own success, because it's taken up by so many disciplines that it no longer has that clear identity that it had at the beginning. Would that roughly be right? I mean, that's one element, certainly, that you have biologists and social scientists who were involved in this cybernetic milieu in the 1950s. And eventually the kind of common ground disappears and they just go back to their own disciplines and integrate cybernetic concepts into their work without explicitly calling it cybernetics.
53:24But there are still people who try to champion the cause of cybernetics and kind of reinvent it for new applications. And that continues in things like systems science. You know, there's societies for systems research that still talk about cybernetics, and that's been called first order cybernetics. So the cybernetics of the closed system where you're trying to engineer and optimize a system. And then there's people who talk about second order cybernetics or second order science. And that's this idea that you have to be aware of your own role as a scientist, as a researcher, as an observer in a cybernetic system.
53:55So it's not just the system is closed with its own feedback loops. There's feedback loops between you and the system. So if you change, the system changes. If the system changes, you change. And this leads to all of these slightly kind of wacky ideas about consciousness transformation. But that continues also to the present day in societies and academics looking at, you know, again, nature and ecology and consciousness and what are the relationship between these things. Arete, anything else you think we've missed out in the discussion that's critical? I think that it's really interesting to also contemplate the place cybernetics has in amending or augmenting flawed human capacities and that kind of imaginary that was really pretty potent.
54:41It comes out in the telephone exchange. It comes out in the idea of game theory, which is like a related science, which is that like, what if people are too emotional and blow up the world? And so we need computers to step in and kind of make better decisions. And it comes out a lot in smart cities in our present as people in the 60s like Buckminster Fuller, but also people at RAND, which was an Air Force funded research institute in Santa Monica, started switching from warfare to welfare and started taking over things like urban management. they increasingly turn to dealing with political problems by saying, let's have a technological solution.
55:25Let's quantify. Let's have data-driven decision-making. Let's add this machinery. And that continues to really inform our attitude to the world maybe today, where a lot of times political decision-making is getting replaced or transformed by computational decision-making. And that sits there at that government question of cybernetics and what the implications of governance are from technology. Jacob, you wanted to come in there. Yeah, I think this point about cybernetics as a decision making tool is really key. And it's something that you see come up in many other things at the time at RAND and elsewhere, looking at cybernetics as a way to think about how can we make decisions better?
56:06How can we optimize systems? There's an overlap with another field, another post-war science that dies away, which is the science of futurology. How can you predict the future using different techniques? And for example, Daniel Bell, the famous American sociologist, he chairs a commission on the year 2000 in the 1960s in the USA. And in his book, The End of Ideology, he talks about how cybernetics is one of these decision sciences which can help build through rational decision making, help us build a utopia. So there's this really this kind of utopia through automated decision tools and cybernetic decision tools and decision sciences.
56:43So finally, there's been a lot of literary speculation about machines and humans and cyborgs. Are we getting to a stage where all of that dystopian vision is actually possibly becoming a reality? John? So in 1952, Kurt Vonnegut published his first novel, Player Piano, in which it's a dystopia all about the terrible effects of automation. And the sort of leader of the whole terrible system is a character called Wiener. so right if you're talking fiction and kurt vonega is one of the very best of the the pessimistic thinkers about our world about war about destruction and about science and technology in the future right from the very start of his work we have norbert weiner and cybernetics i think martha's coming in with an offer of uh i'll take a tea I'd love a cup of tea.
57:51I'll have tea too. In Our Time with Misha Glenny was produced by Martha Owen. It's a BBC Studios production for Radio 4. If you've got a scrolling problem, then this is the podcast for you. It's called Top Comment with me, Matt Shea. And me, Marianna Spring. We both investigate social media for a living. Whether it's disinformation, conspiracy theories, internet culture, memes. We're going to be getting behind the stuff that is popping up on your feed on this podcast. That's Top Comment on BBC Sounds. Ever invest in something that seemed incredible at first, but didn't live up to the hype? Like those$5 roses at a gas station, or a second-hand piece of technology that breaks in the first 10 minutes?
58:34Marketers know that feeling. We optimize for the numbers that look great, impressions, reach, and reacts. But when they don't show revenue, well, that's a not-so-great conversation with the CFO. LinkedIn has a word for that. Bull spend. Now you can invest in what looks good to your CFO. LinkedIn ads generates the highest ROAS of all major ad networks. You'll reach the right buyers because you can target by company, industry, job title, and more. So cut the bull spend. Advertise on LinkedIn, the network that works for you. Spend$250 on your first campaign on LinkedIn ads and get a 250 credit for the next one.
59:18Just go to linkedin.com slash broadcast. That's linkedin.com slash broadcast. Terms and conditions apply.
From the publisher
Misha Glenny and guests discuss cybernetics – the field of study which gave us the prefix ‘cyber’ and helped lay the foundations for the information age. After the Second World War, cybernetics emerged as the study of communication, feedback, and control in both animals and machines. Cybernetics was first defined in 1948 by the American mathematician Norbert Wiener (1894-1964) and aimed to find a shared universal language which could be used across disciplines. The name drew on an Ancient Greek word for steersman, the person who stands at the helm of a ship to steer or govern its course. Cybernetics saw the world as systems which used loops of information and feedback to adjust their own course of action. Those ideas could be applied to anything from thermostats to the human brain, and arguably laid foundations for the information age.
With
Jacob Ward Historian of science and technology at Maastricht University
Jon Agar Professor of Science and Technology Studies at University College London
And
Orit Halpern Lighthouse Professor and Chair of Digital Cultures at Technische Universität Dresden
Producer: Martha Owen
Reading list:
Peter Galison, 'The ontology of the enemy: Norbert Wiener and the cybernetic vision' (Critical Inquiry 21, 1994)
Slava Gerovitch, From Newspeak to Cyberspeak: A History of Soviet Cybernetics (MIT Press, 2004)
Orit Halpern, Beautiful Data: A History of Vision and Reason (Duke University Press, 2015)
Orit Halpern, Robert Mitchell and Bernard Dionysius Geoghegan, The Smartness Mandate: Notes toward a Critique (Grey Room 68, 2017)
Orit Halpern, Financializing Intelligence: On the Integration of Machines and Markets (e-flux, March 2023)
N. Katherine Hayles, How We Became Posthuman: Virtual Bodies in Cybernetics, Literature, and Informatics (University of Chicago Press, 1999)
Steve J. Heims, John Von Neumann and Norbert Wiener, From Mathematics to the Technologies of Life and Death (MIT Press, 1980)
Ronald R. Kline, The Cybernetics Moment: Or Why We Call Our Age The Information Age (Johns Hopkins University Press, 2015)
Eden Medina, Cybernetic Revolutionaries: Technology and Politics in Allende’s Chile (MIT Press, 2011)
David A. Mindell, Between Human and Machine: Feedback, Control, and Computing before Cybernetics (Johns Hopkins University Press, 2004)
Andrew Pickering, The Cybernetic Brain: Sketches of Another Future (University of Chicago Press, 2010)
Norbert Wiener, The Human Use of Human Beings: Cybernetics and Society (first published 1950; Da Capo Press, 1988)
In Our Time is a BBC Studios production
Spanning history, religion, culture, science and philosophy, In Our Time from BBC Radio 4 is essential listening for the intellectually curious. In each episode, host Misha Glenny and expert guests explore the characters, events and discoveries that have shaped our world.
