Dreaming Against the Machine - May 26, 2026


Episode 7: The History (and Future) of Technology, with Susannah Glickman

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Episode 6: Mythology, with Moiya McTier Episode 8: Horrible Little Guys, with Isabel J. Kim and Amanda Silberling

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58 minutes

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10,504

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324

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00:00:31.000 Welcome back to Dreaming Against the Machine. I'm your host, Adam Becker. This week's guest
00:00:36.320 is Professor Susanna Glickman, who's a historian at Stony Brook University. And she's an expert
00:00:43.280 on, among other things, the history of science in the U.S. in the mid-20th century. And that's
00:00:52.180 why I wanted her on the podcast this week. One of the running questions on this show,
00:00:57.880 as you'll know if you've listened to most of the earlier episodes, is there's been a surprisingly
00:01:03.620 durable picture of the future in the American psyche that really seems to come from 1950s
00:01:10.500 science fiction of like rocket ships in Chrome as the inevitable future or the place where the
00:01:16.080 future is supposed to be. And I've been wondering for a long time why that's been such a persistent
00:01:23.540 idea in American culture in particular. And that's why I brought Susanna on the show.
00:01:30.400 She is someone who really understands a lot about how science has presented itself to the
00:01:38.120 American public, how science thinks of itself, and where different ideas about the future of
00:01:45.100 science and technology have come from. And so I wanted to talk with her about that. And I think
00:01:52.380 you're going to enjoy the conversation that we had. It was a fun one. So let's get to it.
00:02:00.020 Susanna, welcome to Dreaming Against the Machine.
00:02:02.940 Thank you so much for having me.
00:02:04.240 I'm just glad we made this work out because you're on the road right now.
00:02:08.080 Yeah, I've been running around doing talks. I'm luckily, very fortunately, on research
00:02:12.400 leave, so I shouldn't complain about that. But I have been doing a lot of traveling.
00:02:17.000 Just to give our guests a sense of who you are, how would you describe your work?
00:02:22.380 I was trained in sort of a traditional American history department, but I have a background
00:02:26.940 in mathematics and anthropology.
00:02:29.620 Specifically within mathematics, I did like a year-long research thesis on optimizing
00:02:35.460 quantum algorithms and then was hired to continue that work.
00:02:38.120 So I have a little bit of a technical side, a humanistic side.
00:02:42.960 And then presently, yeah, my work sits at the intersection of like U.S. history, political
00:02:49.760 economy, which is like economics.
00:02:51.700 but a little bit more expansive than the discipline as it currently exists and like history of tech
00:02:57.880 especially physics and computing i'm very interested in how the national security state
00:03:02.280 is a part of that that's transformed well history of physics is one of my passions as well i i wrote
00:03:08.440 a whole book on history of quantum physics but i think i may have told you that when we talked
00:03:12.380 before when i decided that you had to come on to this podcast whether you liked it or not
00:03:16.380 yeah but yeah the main thing i mean we we met on a call a few weeks back and the main thing i wanted
00:03:26.040 to talk with you about or one of the things i wanted to talk with you about was you seem like
00:03:30.920 a likely candidate to be able to give me a good answer to a question that i have been kind of
00:03:38.520 obsessed with for a while and have asked a couple of other guests on this show as well which is
00:03:44.380 there's this mid-20th century
00:03:46.800 chrome-plated rocket ship
00:03:50.180 vision of the future
00:03:52.000 that has been surprisingly durable.
00:03:55.300 You know, the kind of thing that you found
00:03:57.160 on, like, the front cover of
00:03:58.520 Astounding Science Fiction and stuff like that
00:04:01.980 in 1950 is still, you know,
00:04:04.640 75-plus years later,
00:04:06.720 this idea of what the future is.
00:04:09.140 The future is with rocket ships in space.
00:04:11.900 I don't understand why that idea has been so culturally durable, especially here in the U.S.
00:04:19.220 You know, one of the weird things about being a historian is you just see, like, everything happening over and over again.
00:04:25.300 And, you know, the same words even, like, re-skilling is one of those.
00:04:29.360 But also these imaginations of the future coming from that post-war period.
00:04:33.880 Now, I'm kind of interested in the way that there's, like, a break between those two periods.
00:04:39.380 But I think there is something about the vision of the future that's maintained. So I think there's like this original construction of like a scientific state apparatus and political economy around that, that like codifies some elements of the World War II state.
00:04:54.280 And that is brought into full maturity with, like, sort of the Vannevar Bush era of, like, imagining, you know, physicists and basic research as, like, the prototypical model for the science-state relationship, much like it was in World War II.
00:05:11.560 That's stable until, like, the early, maybe, like, the mid-1960s.
00:05:16.800 I'm reading a book that's making me rethink the periodization even earlier of this, like, an annoying historian thing to do.
00:05:22.020 Um, but, but part of that, that, that Benavar Bush vision of like this relationship between
00:05:29.680 state science and industry is remade in sort of like calling upon those, those same moments
00:05:37.120 in those same imaginaries, but in a very different like structure, beginning with the erosion
00:05:42.500 of that original World War II research state or like the Cold War part of it.
00:05:47.580 And it transforms into like kind of more of the big tech model where you have venture capital, you have these lifecycle models, and they appropriate, I think there are certain features of that conversion that maintain a sort of imaginary of the future that is very consistent.
00:06:05.460 It is weird, right, that the kinds of things that Elon Musk's saying are always on the horizon and that those are consistent from, I think, the 70s and 80s.
00:06:16.360 But I think what this maybe does for us, this periodization, is that it's not so much a product of the post-Cold War period, but, like, they're products of, like, the Cold War model maybe, like, falling apart and this need to, like, reauthorize, to reimagine, like, what science can do for society.
00:06:35.960 Like, physicists start freaking out about this due to, like, defense cuts and all of these kinds of business efficiencies that are brought into government in a bipartisan way.
00:06:46.360 in the mid to late 60s i think these things are related i think there's this great american
00:06:53.040 institute of physics meeting where they're they're really worried about this it's like i think 1967
00:06:58.420 1968 and they're like you know we did the bomb we did radar we did all this like amazing stuff
00:07:03.380 but it's not enough to convince government and the public that they need to continue funding
00:07:08.660 our institutions like they think darpa might go away they think all these things might go away
00:07:12.220 um and so we have to like offer a different model of like what we do for society and
00:07:19.500 a bunch of them become convinced that like physics had had this purchase on the future
00:07:26.320 right like you could use physics to predict like where objects would be in space in the future and
00:07:33.680 that was wonderful yeah i'm cribbing like john wheeler's archives he's like oh this gave like
00:07:39.600 you know physics a special authority we're gonna talk about john wheeler yeah um yes yes absolutely
00:07:45.860 so wheeler is like oh like we had this purchase on the future but actually like quantum physics
00:07:50.620 really unsettles this and like we don't have this anymore but you know what does computing which
00:07:55.980 again the relationship of physics and computation is something that peter gallison has written a lot
00:08:01.180 about for instance but like yeah they have this really credulous relationship to computing that
00:08:05.300 not shared by computing experts themselves right like um rebecca slayton has this great book about
00:08:10.280 the evolution of or the emergence of software engineering as a field unto itself and like
00:08:15.720 they're much less credulous about what computers can do and their purchase on the future and like
00:08:20.400 truth and nature right in reality yeah yeah yeah physicists because of monte carlo simulations and
00:08:27.140 their role in sort of simulating the bomb and like simulating physics this idea that you could
00:08:32.720 simulate all kinds of physics quantum right obviously complicates that yes gives physicists
00:08:38.020 this real belief in the power of computing and so wheeler in this moment is like well yeah so we
00:08:44.540 have to like build this closer relationship with computing or like all these it's not just him but
00:08:48.620 all these physicists get really interested in this period in computing because it seems to be
00:08:52.960 something that would have this greater purchase on the future at the same time as they're
00:08:58.120 reconstruction reconstructing the case in the institutions attendant to that for like why you
00:09:04.820 should fund them their students big science and what comes out of it is very different right than
00:09:11.940 the world war ii state but we can get to that okay i have so many questions and there's also
00:09:17.080 a lot of things we need to unpack um yes yeah so uh vannevar bush publishes in what like 1946
00:09:24.760 the endless frontier um right uh which is this um yeah yeah somewhere around there so like right
00:09:32.820 after world war ii vannevar bush who is um how would you describe him scientific administrator
00:09:37.680 um yeah yeah and proto entrepreneur i mean there's like really interesting things that
00:09:44.040 have been written about him and like he had this like um commitment to basic science but yes maybe
00:09:49.820 was a little bit more applied in practice however you want to divide those categories but yeah so
00:09:54.660 So he ends up proposing the National Science Foundation, the NSF, and helping to build
00:10:01.500 a bunch of the post-war science, the military-industrial complex, the triple helix, the
00:10:08.020 Cold War triple helix, however you want to talk about it.
00:10:10.160 Hold on.
00:10:10.580 What is the Cold War triple helix?
00:10:12.680 Between academia, science, the government, and industry.
00:10:17.280 Okay.
00:10:17.900 Yeah.
00:10:18.120 And the government, again, I think it's not just defense, but it is a lot of defense.
00:10:22.460 So Bush publishes this thing saying, like, science is an endless frontier, explicitly invoking this frontier metaphor. This idea of a scientific frontier and this post-World War II vision of a sort of shiny physics, rockets, and chrome future lasted until sometime into the 60s and then sort of got reinterpreted.
00:10:49.200 And and parts of it persisted to the present, but parts of it sort of shifted over to being more focused on computers and computation and ultimately ended up with this like Silicon Valley model.
00:11:05.100 So along the way to answering the question that I asked you, you are also answering a different question, which is, how is it that these, you know, tech billionaires became the guardians of this fantastical vision of the future, for better or for worse?
00:11:27.760 Spoiler alert, for worse, not for better.
00:11:30.260 But yeah.
00:11:30.620 I mean, I think there's so many different things happening that all kind of complement each other at the same time. So, you know, I'm probably leaving out part of the story that someone would add, but I think it is the case that like the sort of physicist center modeled of the future has to be re-articulated and the state, like this research apparatus, research industrial, scientific defense, you know, government apparatus gets remade beginning in the late 60s.
00:12:00.460 There's this big crisis of funding, defense cuts, but really that like applies to like
00:12:05.120 the entire scientific infrastructure.
00:12:07.340 And out of that, you get certain new visions of what the future is going to be like, new
00:12:11.380 ways of telling history, right?
00:12:13.040 Like the transistor, the computer, these become sort of models and they offer models of history,
00:12:20.600 right?
00:12:20.960 So Moore's law, for instance, which is, you know, I mean, it has come to mean many different
00:12:27.340 things but it's like this a graph a log graph so log means like you can present an exponential
00:12:34.840 curve as a line going up by taking the logarithm so the rate of change and more as well as a log
00:12:40.960 graph that just shows a line going up and tells a story about the relationship between computing
00:12:47.760 power speed and size right that like things get smaller cheaper and faster in standard increments
00:12:54.080 I want to just jump in and say, like, one way of explaining Moore's Law is you can double the number of transistors that you can cram into the same space on a silicon chip every 18 or 24 months, depending on which formulation you want to look at. Right? Something like that?
00:13:09.920 Yeah. And so, and again, it's like, it means very different things to different people, like how it works. But it is like the image itself is a way of telling history and a way of projecting the future at the same time. And we are maybe less attendant to the ways in which it shapes our understanding of the past and more attendant to the way it shapes our understanding of the future. But I think these things are related.
00:13:34.800 And I think the tech CEO as the person delivering this in the popular imaginary means that, okay, so then they understand you have to fund these industries in a specific way to maintain Moore's Law.
00:13:47.440 Moore's Law is something that can perpetually be in crisis.
00:13:50.840 And the role of Moore's Law has changed over time.
00:13:53.080 So I don't want to say that it's a monolith or that it hasn't shifted.
00:13:57.540 And the power in the tech industry hasn't shifted, which it totally has.
00:14:00.360 This is fascinating because in my book, my latest book, not the first book about quantum physics, More Everything Forever, I talk about Moore's Law and I say, you know, it's not a law of nature.
00:14:11.540 it was a decision made by people running the semiconductor industry that this was something
00:14:17.680 that they were going to shoot for. And you're saying, yeah, it was. And it's also a way of
00:14:26.340 justifying actions and funding requests and saying like, we have to stay on this track
00:14:33.020 in order to save Moore's Law. Yeah. I mean, if you're going to get really specific about it,
00:14:37.480 Moore's Law starts is like a marketing tool because like it turns out Intel doesn't actually
00:14:41.940 have better products than its competitors but what they're able to do is to sell not just the
00:14:47.360 products but the promise that it's going to continue you know increasing at these intervals
00:14:51.660 and like Moore's plot becomes a big part of advertising especially within the industry
00:14:56.080 then there's a shift where it's sort of mathematized by this guy at IBM named Robert Dennard
00:15:01.260 and made more into like sort of a it's scientized it and it makes people believe in the future of
00:15:07.080 silicon which again one of the ways in which moore's law remakes our understanding the past
00:15:11.660 is that silicon as a medium for transistors as a medium for computing is taken for granted but at
00:15:17.700 the time it was not at all clear right that this would work right technically and so moore's law
00:15:23.480 is a part of selling that the mathematization of it and like sort of the the kind of work that
00:15:28.720 carver made the scientist at caltech who also becomes a big proselytizer for moore's law and
00:15:33.700 for silicon as a medium like takes up and makes very popular so it becomes very popular and then
00:15:39.280 the late 70s japan emerges as this really impressive like technological power and one 0.90
00:15:45.360 that's like threatening core industries in the u.s including electronics and so there's you know
00:15:51.600 like the japanese model which is quite different from american capitalism does two things right it
00:15:57.060 causes this crisis for american capitalism you know like there's the 70s question of like can
00:16:02.020 we grow forever? But then there's also the question of, is the American model the right
00:16:05.760 model if the Japanese are overtaking US industry? And then within the industry, okay, so in order 0.91
00:16:11.600 to beat the Japanese, we're going to have to come up with a different way of doing things 1.00
00:16:15.020 that includes a lot of planning. So individual companies start planning, then consortia start 1.00
00:16:19.680 planning. And then eventually, by the time you get to the first Bush administration, and then
00:16:24.180 Clinton, you get these national planning efforts. And they use things like Moore's Law as a model
00:16:30.520 originally, and then eventually just call what they're doing Moore's Law. And they build it into
00:16:35.820 these roadmaps that coordinate the entire industry, suppliers, like the scope keeps building and
00:16:40.680 building, using U.S. power to do so into the early 2000s when things start to fall apart for various
00:16:49.620 reasons, like around 2006. Why did things start falling apart? That's a question that many people
00:16:55.560 are trying to answer and there's so many um different kinds of answers the focus of my
00:17:01.860 research so one of the things that happens right is the separation of like the design and the
00:17:07.620 manufacturer model apple went to intel actually to manufacture chips for the iphone right but
00:17:12.640 intel thought the money we make per chip is just not worth it why don't we we'll send you to tsmc
00:17:18.200 they end up working with tsmc um and that's that creates this separated design you know that like
00:17:24.080 or makes it clear that this model works.
00:17:26.840 Clinton-era national investment
00:17:29.300 and like coordinator investment,
00:17:31.320 like government investment falls off.
00:17:32.760 Some of the gains that you can get
00:17:34.600 from like the industrial investment
00:17:36.640 that you can get,
00:17:37.520 not legislatively,
00:17:38.780 but through trade, right?
00:17:40.560 And through like using U.S. power
00:17:42.520 outside the U.S.
00:17:43.560 instead of doing domestic policy,
00:17:45.300 some of that becomes less effective.
00:17:47.480 There's just so many different things going on,
00:17:49.680 but these are all elements
00:17:51.580 of like why that model stops working.
00:17:54.080 there's just it's so overdetermined that's like a book unto itself
00:17:57.540 but here we are in this world where the chips are just not made in the u.s and are in fact
00:18:05.180 pretty much just made in one place it depends on what kind of chip but but leading edge chips
00:18:10.900 are either made mostly made in taiwan some certain kinds are made in south korea and the
00:18:17.500 lithography machines are all coming from this one company in the netherlands right yeah yeah
00:18:24.060 which is why i've been spending a lot of time in the Netherlands ah and there we go and and hold
00:18:29.040 on so lithography is this process where you etch the stuff that you need to etch into the silicon
00:18:38.660 in order to turn it into a bunch of transistors on a chip it's the factory machines that make chips
00:18:43.820 so you need machines to make machines and they have a monopoly in a way that is is sort of
00:18:54.040 of more entrenched and harder to replicate than say like tsmc's monopoly on leading edge chips
00:18:59.960 yeah that makes sense but we've gotten very technical and yeah we have pulling back to
00:19:05.860 visions of the future like this created the substrate right this creates like okay there
00:19:10.560 are real things happening like computers are getting smaller and faster and more powerful
00:19:14.660 like they're but there's an infrastructure behind it there's a way in which ideology
00:19:18.440 and this marketing device has been built into infrastructure,
00:19:23.140 which then creates this stability for this way of telling history
00:19:27.340 and predicting the future, like Moore's Law, like this line go up.
00:19:31.040 But it gets generalized.
00:19:32.140 It's like, oh, this is how technological development happens.
00:19:35.420 And, you know, like a lot of these same policy tools or, you know,
00:19:38.700 like we just generalize it out in a way that like gives technologists,
00:19:43.460 especially like consultants, right, about tech, this power.
00:19:46.860 I mean, there's also movement within economics, right, to say, okay, it used to be just like growth is capital plus labor. And it turns out, you know, it's obviously more complicated, but that's the model until like, I guess like mid-century, when all these economists start thinking about, and actually like some other like management consultants, proto-management consultants, started thinking about technology having a role, sort of playing the, why some economies do better than others.
00:20:14.380 So there are a lot of parallel things happening, but it ends up locating that in tech.
00:20:22.400 And this generalized idea that Moore's Law is like a model for how technology works as a whole gets us to a whole set of ideas that I'm perpetually fascinated by.
00:20:34.820 Like, you know, this is where you get someone like Ray Kurzweil.
00:20:38.580 Yeah. Or you get this way of telling human history that starts with like fire. And then, I don't know, I'm going to butcher this. Fire, like the steam engine. And then, you know, you can tell these modeled stages of history, which again, there are precedents for, right? Like there's, you know, stages history in terms of like feudalism, capitalism, socialism, or communism, but they sort of gets adapted to this linear model too, right? But where technology is the agent of history.
00:21:02.480 And you see this over and over again in the way that people in Silicon Valley talk about the future. They just talk about, oh, we're going to have this technology and this technology and this technology, and it's going to solve all of our current problems.
00:21:16.260 And I don't want to say I'm confused by it, I'm just amazed that they believe that you can solve every single problem with technology. There's so many obvious counterexamples to it, I don't understand how they, I mean, because some of them are grifters, but some of them really believe this stuff, and it's very hard for me to understand how they can do that.
00:21:39.160 intent is kind of a hard thing because it's like oh where do my interests end and where do my
00:21:43.300 beliefs begin and yeah exactly i don't know i can't get in someone's head but the weird thing
00:21:48.380 that it does right is it's not people who are agents of history right the right history is
00:21:53.700 driven by technology and there are people who can speak for technology and what technology needs
00:21:58.780 you know at first it's like physicists it's like other people but now it's like you know these
00:22:02.400 entrepreneurs but but it's the technology that's acting and it's particularly for me it's like a
00:22:08.740 pet peeve about the way people talk about AI. It's like AI is speeding up my work. It's like,
00:22:13.720 no, your employer is speeding up your work, making you work more for less. Or like AI is like
00:22:19.380 inevitably going to do X, Y, and Z. It's like, no, these are political decisions made by employers,
00:22:25.200 bosses, regulators, politicians. People are doing things with technology. Technology is not acting
00:22:32.560 on its own technology and especially ai can be the medium through which people experience these
00:22:39.680 kinds of political and social relationships they're displaced right but it is not the cause
00:22:46.860 of them and i think i think that confusion is something it's it's like worth changing the way
00:22:53.340 we talk about technology so it's not like the technology acting there there are let's locate
00:22:58.620 the specific people who are making these kinds of decisions or not making any decisions, right,
00:23:03.160 as the case may be. Yeah, no, when you talk like that, it absolves the individuals involved of
00:23:10.100 any sort of responsibility and just saying, oh, no, it's the technology. This is what the
00:23:14.160 technology is doing. Well, and back to what you're saying, it's like it defers questions
00:23:19.380 or it subsumes, it hides questions that are really political and social questions,
00:23:24.440 where like technology is the agent, is the actor
00:23:28.200 in a way that I think like makes it really hard
00:23:31.100 to do the kinds of politics we need to do
00:23:33.740 to escape this paradigm.
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00:26:07.000 let's talk about john wheeler uh yeah hell yeah hell yeah uh because like there's a bunch of
00:26:15.080 other stuff that i could i could bring up and maybe we'll get to it later but i want to make
00:26:18.160 sure that we talk about john wheeler um because you know talking about people who have a particular
00:26:23.820 idea of what the future of science is going to be and also talking about people who uh were
00:26:31.220 influential within physics and also the relationship between physics and the government
00:26:35.080 john wheeler god how do i explain to our listeners who john wheeler is john wheeler is
00:26:41.040 one of the most influential physicists you've never heard of um he's uh he's a guy who worked
00:26:48.160 with basically every major physicist of the 20th century he uh has many uh famous uh doctoral
00:26:58.700 students and collaborators um and is also influential within physics in terms of setting
00:27:08.800 research programs and even though he i mean he lived a very long time but he's been dead now
00:27:14.900 for something like 20 years but his influence is still with us i don't believe in like you know
00:27:19.960 the great man theory of history but he is very useful for like tracing the arc of certain like
00:27:27.000 institutions in u.s history through that right so like when i'm telling you know histories of
00:27:31.820 technology these are really social and political histories yes physicists in the post-war period
00:27:36.300 become statesmen right they're diplomats they're redesigning the state and wheeler is a huge part
00:27:42.220 of that and this is gary wills bomb power and a bunch of other work right is they take the
00:27:46.820 manhattan project and they're like okay we're gonna institutionalize this and so the physicists
00:27:51.920 right who are very involved in designing that end up having this huge role in building the
00:27:56.960 Cold War State and maintaining the Cold War State. Wheeler's one of them. Again, he's also,
00:28:01.240 right, you're talking with this guy who is important and influential on the concept of
00:28:06.160 black holes. So many different functions. He's a huge part of quantum information science too,
00:28:12.680 and the move toward quantum computing. Less well-known, helped build the field of the history
00:28:18.160 of science and history and philosophy of science as it exists in its current form as a separate
00:28:23.480 field from history proper and one involving many more practitioners and technicians than
00:28:29.640 historians. So he's like very involved in setting up these archives. He's, oh, I didn't know that.
00:28:34.100 He's fascinating. He's fascinating for all these reasons. I started out because I was optimizing
00:28:39.260 quantum algorithms. I was, my original question coming to grad school was, okay, so I'm like
00:28:44.420 working on optimizing these algorithms, but these computers may never exist. Like, why is this
00:28:48.900 happening you know like i i think this is awesome math like it's really fun math for me i loved
00:28:54.180 abstract algebra i loved linear algebra i was like it you know it's great that group theory has an
00:28:58.220 application finally and then i was like wait why am i doing this and my supervisor had all these
00:29:03.340 really interesting answers but none of them were satisfying so i got interested in where does the
00:29:09.120 infrastructure and support for this come from and like wheeler that's what brought me to wheeler is
00:29:13.160 the quantum angle yeah so i follow him in the sense that he is very interested in marrying
00:29:20.120 physics and computing through quantum and like solving a bunch of the disciplinary problems
00:29:24.580 and intellectual problems happening and material problems like physics funding happening in physics
00:29:29.220 by sort of imagining quantum computing as it is an answer to that he's very influential in like
00:29:35.100 defense contracting yes so let's see he sets up like the jasons he hold on no no we gotta back up
00:29:42.320 There's a bunch of different things we got to get into here.
00:29:44.460 But like, what are the Jasons?
00:29:45.780 So they're this, it's mostly physicists.
00:29:48.840 Wheeler and a couple other people set it up.
00:29:51.280 And it's this group who advises federal science policy, right?
00:29:56.960 And like, where to invest, where to not invest.
00:29:59.260 And it is like, it is primarily physicists.
00:30:01.900 So he does that.
00:30:03.300 Yeah, a bunch of his students get very involved in defense contracting,
00:30:06.460 and especially the integration of computing into defense.
00:30:10.360 his student Hugh Everett who is also one of the central figures in my first book what is real
00:30:16.120 uh available wherever fine books are sold but yeah um yes uh no Hugh Everett is is like one of
00:30:22.860 the the main guys here anyway please keep going he helps Hugh Everett in his endeavor to become this
00:30:28.640 this computing like defense contractor um you know he founds this Everett's company is called
00:30:35.320 lambda corporation i think it's founded in like 1964 and it's focused on integrating computing
00:30:41.000 into defense they do all sorts of things but you know they do a lot of wargaming and a lot of like
00:30:45.720 computer simulations are like the end of the world like it's you know atomic warfare um but
00:30:50.380 wheeler is very influential in setting it up i found this document in wheeler's archive where
00:30:54.220 he's like pushing for everett to get a higher level of classified access in 1968 and to this
00:31:02.400 She's writing this general, and this general basically just, like, says, okay, sure, whatever.
00:31:06.820 Wait, really?
00:31:07.920 Yeah, yeah.
00:31:09.260 Okay, okay.
00:31:10.020 I got to jump in here.
00:31:11.700 This is crazy.
00:31:13.120 So my first book, What is Real, is a history of quantum foundations.
00:31:18.820 And so, of course, Wheeler shows up in there a lot.
00:31:23.000 Yes.
00:31:24.220 And Hugh Everett shows up in there a lot.
00:31:26.460 And quantum foundations is something I haven't talked about on this podcast yet.
00:31:30.800 So what is quantum foundations?
00:31:31.760 Quantum Foundations is basically the area of research that tries to figure out what it is that quantum physics is saying about the world.
00:31:43.400 And it has turned out to be like one of the weirdest things in the history of physics is that that is a really contentious, like knockdown, drag out fight that has been going on for over a century at this point.
00:31:57.760 and weirdly it's like the subtext of a lot of history of computing like wheeler is really
00:32:03.140 invested in but not just wheeler like carver meat to this day when i interviewed him like
00:32:07.280 a couple years back he was still very focused on questions of quantum foundations like as
00:32:12.520 these are the big questions of our age now this is not something that the general public
00:32:16.200 spends a lot of time thinking about but i think this is the preoccupation of this generation of
00:32:20.680 scientists because it is i mean it's such a weird counterintuitive thing it breaks physics purchase
00:32:27.080 on the future but also it does this really interesting thing to the scientific method
00:32:30.740 which is like no longer are observer and observed separate categories and in a way like social
00:32:37.440 science is dealing with that on its own terms like i think people in my field think that's an
00:32:42.100 original insight it's not it's like really something like you know the quantum physicists
00:32:45.980 are like wait what do we do about this yeah like this is a huge deal you can't have this neat
00:32:50.780 separation you can't have these neat experiments and so what do you do do you remake the scientific
00:32:56.080 method around this insight they don't but they don't know what to do with it right they don't
00:33:01.440 know what it means they don't know what to do with it it's this huge intellectual crisis happening at
00:33:04.660 the same time as all these like material crises are hitting the field and these political crises
00:33:09.580 are hitting the u.s like it's a crisis of u.s capitalism it's like all many things happening
00:33:14.140 together right like the limits to growth discourse comes out at the same time it's just like
00:33:17.820 so many things are in flux i'm so glad you brought that up because i really want to talk with you
00:33:21.880 about limits to growth,
00:33:22.760 but let me just go back
00:33:23.800 to Wheeler and Everett for a second.
00:33:25.600 This is why I wanted you on the podcast,
00:33:27.260 because I can talk with you
00:33:28.480 about all of this stuff
00:33:29.660 that I'm obsessed with
00:33:30.620 from both of my books.
00:33:31.660 But the story with Wheeler and Everett,
00:33:34.060 as I understand it,
00:33:35.400 is Everett is interested
00:33:38.820 in basically punking
00:33:41.760 the measurement problem,
00:33:43.280 trying to find a way
00:33:45.020 out of this horrible fix
00:33:48.580 that quantum physics was in
00:33:50.380 with trying to figure out,
00:33:51.640 okay, what is a measurement and what is going on in the quantum world? And we are not going
00:33:57.620 to get into exactly what the measurement problem is on this podcast episode, because that would
00:34:01.840 take another hour. And if you want to know about that, you can, I don't know, go get my book or
00:34:06.580 something. But it's stake, right? Is that, is the universe deterministic or are there elements of
00:34:12.300 uncertainty? That's the stakes, right? I think. That's part of the stakes. Right. Yeah. Part of
00:34:17.500 the stakes is like determinism versus randomness at the fundamental level. Part of it is, you know,
00:34:23.440 can physics be done without talking about the physicists? Part of it is, is physics about
00:34:32.640 the world as it is? Or is physics about doing physics? What is it that we're doing when we do
00:34:40.860 physics? There's a lot of really deep questions at work. Yeah, it's fascinating, right? The observer
00:34:46.100 observed alone is like a huge, huge, like you can't separate the measurement from the measurement
00:34:50.460 instrument. Exactly. And then Everett comes in and says, oh, one way of solving this problem
00:34:57.100 is, you know, which, which weirdly is a way of championing the idea that physics is really about
00:35:04.960 the world as it exists, rather than just being a kind of tool for issuing forth predictions.
00:35:12.020 Everett says, yeah, one way that you could do that is you could say that quantum physics is about the universe splitting off into a bunch of, you know, separate individual universes.
00:35:23.560 And Wheeler likes this for certain reasons, but is also nervous about this for other reasons, including his, Wheeler's relationship with Niels Bohr, the granddaddy of quantum physics.
00:35:38.320 And long, long story short, again, this is all in what is real.
00:35:43.360 We could talk about this for hours.
00:35:44.460 Yeah, we could talk about this for hours.
00:35:45.760 We should.
00:35:46.200 We should have a separate call and talk about this. 0.99
00:35:47.780 But long story short, Wheeler sends Everett to go talk to Boer. 0.98
00:35:52.400 It doesn't go well.
00:35:53.740 Everett leaves physics.
00:35:55.760 And not because of that, but because he doesn't really want to be an academic physicist anyway.
00:36:01.800 wants to like make money and have a madman lifestyle and uh goes into defense contracting
00:36:08.260 and i am surprised by hearing that wheeler was advocating for everett to have a higher
00:36:17.200 security clearance in the late 60s because i did not know that everett and wheeler were still
00:36:23.780 really in contact very much between like the late 50s whenever it was working with wheeler
00:36:30.300 and the early to mid 70s
00:36:33.540 when Everett makes contact
00:36:35.500 with Wheeler's people down in Texas.
00:36:37.500 There's this letter from 68,
00:36:39.260 but I think they maintain this like weird,
00:36:41.500 I mean, I think like Wheeler
00:36:42.640 has really ambivalent feelings, right?
00:36:44.820 About Everett and many worlds.
00:36:46.940 They have this very, you know,
00:36:47.960 like many human relationships,
00:36:49.240 it's a complicated relationship.
00:36:50.680 Sure, yeah.
00:36:51.320 But he feels, I think he feels responsible
00:36:52.920 for Everett's career to some degree.
00:36:54.500 And you know, Everett's not the only one.
00:36:55.740 Like tons of Wheeler students
00:36:57.180 go into like defense contracting.
00:36:59.240 and sort of this cold war you know they staff the cold war state but one of the things that
00:37:04.320 this new idea of like use quantum computing does for this particular problem right is that it opens
00:37:10.800 up the idea that like a you can show that you know these weird quantum experiments are real
00:37:15.700 because right they've only been you know up until then they've been done in a laboratory but like if
00:37:20.520 you're building a quantum computer and you actually successfully do it it's a proof of concept of some
00:37:24.960 of these like weirder contentions so there's that and then also there's the possibility that you
00:37:29.680 might be able to resolve this question is many worlds or the copenhagen interpretation which is
00:37:34.480 like don't worry about what this means basically yeah um which one is is right and and actually
00:37:39.740 so far it hasn't done that and it may never do it but it sort of defers that problem right because
00:37:45.700 you're like someday this will be solved if we can build a quantum computer and actually there's the
00:37:49.980 more tantalizing possibility that like you can't build a quantum computer and they're interesting
00:37:54.780 things that we don't understand about physics that explain that uh okay so let's talk about
00:38:00.600 quantum computing for a minute and then i want to get back to limits to growth well they're all
00:38:04.280 related yeah again this is why i want you on the podcast because like i do this stuff and people
00:38:08.860 say oh adam you write about so many different weird things and like no i'm writing about one
00:38:14.060 thing i'm writing about one one guy you could just write about wheeler you could write about one guy
00:38:18.680 and you'd be writing about all these things that's the thing though like that's they're all doing
00:38:22.480 that it's not me it's i'm following my actors right yeah yeah yeah no i mean i also don't
00:38:29.120 believe in the great man theory of history i think that wheeler is an interesting lens to look at all
00:38:33.520 of this through but my feeling about it is no i'm writing about the recent past right and and about
00:38:41.820 the the near-term future and how these things are connected and their ideas about these things are
00:38:46.800 connected um or that's one way of saying what i'm writing about i don't know i don't know i i write
00:38:52.060 about what i'm interested in but anyway but also it's like no all of these guys it's not that it's
00:38:57.700 i'm not finding these i'm not like jumping all over the place no we have our disciplinary
00:39:02.300 differences you know like yeah set in stone in this weird way but like these guys are not
00:39:07.060 concerned about that wheeler is actually very invested in setting up his you know history of
00:39:11.240 science what i found when i was following physicists around also like in the present
00:39:15.380 is that they're constantly thinking about history of science they're constantly thinking about these
00:39:19.320 other kinds of questions the compute you know is that like computing separate from these foundational
00:39:23.820 physics as i said you know like all these things are happening at once and influencing each other
00:39:28.060 and it's great to have histories that sort of segment these things out it also helps to have
00:39:34.240 these synthetic looks because one person plays many roles over the course of their career even
00:39:39.620 in a short period of time and wheeler is one of those people but there's millions of these people
00:39:43.040 I mean, like, you know, you could decide to focus on William O. Baker, right?
00:39:47.340 You could focus on Norm Augustine.
00:39:50.100 Like, there's so, Bill Casey does play so many different roles.
00:39:53.100 I don't know who those people are, actually.
00:39:54.880 There's so many guys.
00:39:56.460 Yeah, there's a lot of guys.
00:39:58.080 Yeah, it's true.
00:39:59.240 Who are like, you know, playing all these different roles and doing all these different things.
00:40:02.580 And yeah, Wheeler's just a very interesting example.
00:40:05.820 Yeah.
00:40:06.140 But he's not, yeah, no great men of history.
00:40:08.760 Because otherwise it gets stuck in the sort of like, okay, then we should empower great men to do, you know, whatever it becomes.
00:40:14.440 Well, yeah, well, I do think that that's part of going way back to what we were talking about at the beginning.
00:40:18.680 I think that the seductive power of the great man theory of history is something that's connected to the sort of rocket ships and chrome final frontier idea of space.
00:40:32.200 you know we can we can go out into space and there the great man can you know do what it is
00:40:37.980 that he's going to do and blah blah blah blah and like yeah but none of that's real yeah it's the
00:40:42.760 figure you know the entrepreneur is like shumpeter's new man but then he becomes and it's
00:40:48.420 often he let's be real um yeah uh no no i mean just in their imaginary right yeah yeah exactly
00:40:55.400 they always imagine it as a dude yeah exactly very often right and so it but it becomes really
00:41:02.160 useful right there's a reason why palantir wants to retell the entire history of u.s industrial
00:41:07.480 production in terms of guys like them right they're totally historically revisionist it's
00:41:12.660 something that i wrote about in that new york review of books article but they do they you
00:41:16.780 know they're rewriting history and i think that they're very attentive to history we always very
00:41:22.900 attentive to history the fact that as you know as a society we sort of take this as like a soft
00:41:28.200 you know soft science and not stem it's a mistake right because everyone else is focused on history
00:41:33.180 and there's this idea that like studying histories and futures are separate but they
00:41:37.020 kind of remake each other you know what i was getting at with moore's law right the
00:41:40.680 the power of like this this sort of way of thinking about the future also has remade our
00:41:48.600 ability to think about the past in certain ways that are really interesting and it happens
00:41:53.240 reciprocally too right like if you think about history in terms of stages of development where
00:41:57.300 technology is the primary actor where great men who speak for technology are the primary actors
00:42:02.340 where you get something different about like what you should do in the future or who who controls
00:42:07.180 the future who can predict the future and these things have performative effects like if you
00:42:11.560 believe the world to be a certain way and you act on it the world may become more like it may become
00:42:16.840 less like it but anyway yeah so that's that's my investment in history why you should become a
00:42:22.100 historian. So I'm going to, I'm going to take a stab at explaining what a quantum computer is.
00:42:27.840 And then I want you to explain why you see quantum computing and limits to growth is connected
00:42:33.860 because I, I just, normally that's a question that somebody would ask me. And I love that I
00:42:39.380 get to ask you this question. So quantum computing is this idea that we can use special quantum
00:42:45.740 properties, like particular quantum properties of matter to perform computing in a completely
00:42:53.640 different way where instead of having bits that are either zero or one, you have quantum
00:42:59.900 bits or qubits that can take any sort of state between zero and one.
00:43:07.140 And you can combine them and connect their states using a phenomenon called quantum entanglement
00:43:14.420 to produce, how do I want to say this?
00:43:19.760 You can use all of these quantum properties
00:43:22.440 to gain certain kinds of computational powers
00:43:27.200 that classical computers can't match.
00:43:30.020 That is not to say that quantum computers can do,
00:43:33.480 first of all, that's not to say that quantum computers exist.
00:43:35.600 That's all in theory.
00:43:36.840 I mean, quantum computers do exist,
00:43:38.360 but that's not to say that like-
00:43:40.560 The ones that fulfill the promises of the field
00:43:42.280 of actually being able to do things faster
00:43:44.520 in a way that is meaningful and practicable,
00:43:48.220 they don't, right?
00:43:49.020 Right, those don't exist yet.
00:43:50.740 And that's also not to say that quantum computers
00:43:52.860 can do everything better or even most things better
00:43:55.660 than the computers we already have.
00:43:57.840 Everyone agrees that the computers that we already have
00:44:00.060 are better and will remain better at basically everything,
00:44:03.420 even if those sort of theoretical quantum computers become real.
00:44:07.880 And yeah, it's not really obvious
00:44:09.340 besides like screwing up internet encryption for everyone what it would do it's not an obvious case
00:44:15.640 for it but because it's you know what it does really well is it factors large numbers it's very
00:44:19.380 good at the factoring number which is the basis of internet encryption through this algorithm
00:44:23.080 called rsa now there are post-rsa algorithms that work well enough and they're being implemented in
00:44:28.520 certain places but you can see how this is a concern for you know government agencies and
00:44:34.040 yeah whomever but it you know it gets conflated with like oh this will be computing 2.0 this
00:44:39.780 will be and there's a moment where you could believe that right like there's a moment where
00:44:44.820 like silicon isn't hegemonic in the 80s where they're like okay maybe like heat diffusion will
00:44:50.360 be a problem maybe like silicon won't scale maybe we need an alternate model and you know everything's
00:44:57.280 getting smaller anyways we need we want something like more is law to continue like more is law
00:45:02.500 helps you overcome the idea of limits to growth right and and so quantum computing is an answer
00:45:07.240 to all these intersecting problems in the 80s looks like it might be able to do all of these
00:45:12.280 things at once oh i didn't know people were talking about it like that in the 80s yeah well
00:45:17.700 because the 1981 conference co-sponsored by ibm and mit at endicott house like the advertisements
00:45:25.200 are about basically yeah like computers are getting smaller we don't know if more's a lot
00:45:30.580 like the moir's law can continue but maybe this is the vehicle for it um this is maybe the natural
00:45:37.000 progression of compute computing and you know there's all these physics elites you know it's
00:45:43.300 a bunch of weird people too but there's enough physics elites that buy into this and are
00:45:47.160 interested at the intersection of computing and physics like Feynman like Wheeler like Freeman
00:45:51.400 Dyson they're all at this early conference not to say that there is plenty of really fun weird
00:45:56.460 people there too or like ed fredkin who's a fascinating character between legitimacy and
00:46:01.760 not so legitimate stuff and and some of the research that comes out of that right so the
00:46:07.040 1981 conference convinces fineman that reversible computing or like he has he has a talk with
00:46:14.660 uh charles bennett yep that convinces him that reversible computing is real and then he starts
00:46:20.420 doing this really interesting course with um john hopfield and carver mead at caltech about like
00:46:28.620 the future of computing basically like different models of the future of computing and out of that
00:46:32.320 com carver mead is sort of the avatar for more is on silicon transistors hopfield is beginning
00:46:37.820 of like neural nets and Feynman obviously has this this i mean people i think people i don't
00:46:42.500 need to gloss Feynman but but that all comes out of that first that quantum computing conference
00:46:47.500 And these discussions about quantum foundations and the future of computing are all happening at the same time with the same people.
00:46:55.240 I didn't know that people were talking in the 80s about quantum computing as a way of possibly getting around limits to growth and continuing Moore's law.
00:47:07.520 That's so good.
00:47:09.660 I mean, I don't like that they were doing that, but I love it in a way.
00:47:14.880 It's kind of perfect because it doesn't work.
00:47:19.660 I mean, I'm not saying that quantum computing doesn't work, that we're never going to build
00:47:22.200 those computers that can break encryption.
00:47:24.340 And it's possible that they'll even be really useful for like simulating matter at a quantum
00:47:28.740 level.
00:47:29.300 We don't know.
00:47:30.560 I mean, analog quantum computers are doing really interesting simulations.
00:47:34.520 Oh, man.
00:47:35.660 Because the end of Moore's Law, which depending on who you ask, we're either there already
00:47:40.860 or we're on the doorstep of the end of it or it's already in.
00:47:44.180 we're always already on the end of Moore's law yeah yeah I know but to be clear right like we
00:47:49.560 are yeah everyone's always been saying that but like the transistors can't get much smaller than
00:47:55.040 they are already right because like if they're not you know if they're made of silicon um because
00:48:00.260 silicon's made of silicon atoms and they're already about as small as silicon atoms but like
00:48:04.580 it's so interesting to me to see the ways that people thought that it could be saved it could
00:48:11.360 be continued. And if you go look at Limits to Growth, the book, there's this part where they
00:48:18.660 say, oh, yeah, when we tell people about the problems that we're finding and the actual
00:48:23.940 limits to growth, we find the most common response is technology will just solve all of these
00:48:29.980 problems. And I'm also just now realizing, as I say this, that we've been talking about Limits
00:48:35.240 to Growth and I never explained what it is. Limits to Growth is a book from 1972 that was
00:48:40.660 really influential throughout the 70s and into the 80s that basically introduced the public to
00:48:47.180 the idea that we live in a finite world but experience exponential growth in various different
00:48:55.720 things and made the claim that that is not sustainable, a claim that I think in broad
00:49:01.420 strokes has to be correct, but there's been surprising amounts of resistance to it ever
00:49:06.820 since it first showed up yeah i mean it's still the bogeyman of people like elon musk he's posting
00:49:11.780 about that even today and because right it it kind of challenges this imagined american capitalist
00:49:20.740 model now i think that like the way that you measure growth has a lot to do with it right
00:49:25.920 we measure it through gdp and like that's changed a lot and and actually guys who originally came
00:49:30.440 up with gdp were like please don't use this metric it's a terrible metric i feel like that's true of
00:49:35.080 almost every metric, right? All of the widely used metrics. If you go back and look at who first
00:49:40.400 came up with it, they were like, please don't use this. This is not a big deal. Please, please,
00:49:43.980 please. And then we use it for everything. Exactly. And then everyone does anyway. And
00:49:48.380 it's awful. Oh my God. I didn't know that about GDP in particular, but I'm not surprised. Jesus.
00:49:54.620 Yeah. There's some great histories of GDP that are about that and like what gets measured and
00:49:57.800 what doesn't. But anyway, yeah, it's a very particular way of measuring it. But people
00:50:01.540 kind of assume that that is like it works you know like the in that like we should be able to
00:50:06.820 just continue whatever growth means along those lines you know for for forever and you know like
00:50:15.320 limits to growth is yeah that you explained it very well um but it's still something that that
00:50:21.080 it is is is something that these guys are shadowboxing with yeah it's like so many other
00:50:25.300 ways of tackling this question of like how do you build prosperity wealth or like what are
00:50:30.500 governments for like what yeah but but i think back to what you're saying about technology as
00:50:35.200 an agent of history is i gave the example of like how how people experience it in their everyday
00:50:40.000 life through ai but i think the fetishism that we that we have about technology like the way that
00:50:45.780 we persona especially ai makes it so easy to talk about right because there's this fetishism about
00:50:50.820 like is it alive is it conscious but part of that is because of the displaced social and political
00:50:56.860 relationships that we're vesting in technology when in fact like the decisions are made like not
00:51:03.820 the tech is not acting it's the decisions are made by like everything around the technology
00:51:08.680 yeah so so again i think we're seeing this like continue this return of the same problem
00:51:14.820 that like social problems and political problems can somehow be solved technically yep and by
00:51:21.200 technology it evolves right by technology when in fact like embedded in a lot of these choices or
00:51:28.480 you know like sort of hidden by a lot of these choices are actually just we're just doing
00:51:32.680 politics or just you know social engineering i mean there's a strain of sts science and technology
00:51:38.340 studies too like michelle khan who are like you know it's this big idea in the 80s that like you
00:51:43.360 know engineers are actually functioning as sociologists and you know like wheeler right
00:51:47.720 he's functioning as a historian they're taking they're sort of usurping our roles without saying
00:51:51.800 as much because what we do is actually really important and this is part of the claim that
00:51:55.780 i'm making is like they think it's important but they won't say it right and everything is
00:52:00.320 politics yeah so so we're just deferring it but that's where this fetishism comes it's it it's
00:52:04.860 really like not that different from like commodity fetishism right where social relationships are
00:52:10.340 happening displaced like right so you have these social relationships of production that are
00:52:16.700 displaced onto objects right and so it seems as though the objects are acting and having social
00:52:21.880 relationships all the people are having object-like relationships right and so this you can think
00:52:27.440 about tech fetishism in the same in a similar way right by thinking about the way in which social
00:52:32.500 and political decisions are displaced onto tech but it's not actually the tech acting it's these
00:52:37.960 other things right it's these things that happen to create the text and regulate or not regulate it
00:52:43.240 to it's not even specific it's like a problem mass production too right like when you think about
00:52:48.840 housing right like and and how we build housing well we made some decisions not we i should say
00:52:54.860 some people made some decisions about how to automate housing production that meant that like
00:52:58.980 certain things are prioritized and not others these are political decisions but there are
00:53:03.160 certain supply chains and skills that have been lost along with that so that we can't build the
00:53:07.560 kinds of great housing great public housing that we did in the 20s you know some of that is
00:53:11.880 political economic like we don't have a hud anymore but some of it is like or you know you
00:53:16.200 don't have one that you don't have a federal housing authority that does that much but part
00:53:19.720 of it is you know like we also decided to automate parts of you know housing construction
00:53:25.520 just construction in general and so we lost all this we lost the supply chains we lost the
00:53:29.560 technical know-how at all these different places these are the same questions we're facing with
00:53:33.720 ai they're not new questions they're political questions they're social questions we all talk
00:53:38.700 about it as though AI is going to create all this unemployment. It's like, no, like, or AI is making
00:53:43.980 me work harder for less money. You know, it's like, that's not really what's happening. Someone's
00:53:48.300 making these decisions. Their collective is making these decisions. We have to wrap up in a minute,
00:53:52.900 but I want to talk a little bit about what you just said and, and about the problem with this
00:53:59.780 narrative, especially when you're trying to break out of this, you know, shadow boxing with limits
00:54:05.320 to growth that you were just talking about, which Musk absolutely does, Jeff Bezos does
00:54:10.000 it too.
00:54:11.280 I think, and I suspect you think too, just from the way that you're talking, that we
00:54:17.160 can do better with this and a better world is possible.
00:54:19.520 But to do that, we have to not just cede this power to saying that the future is going to
00:54:29.040 be determined by these technologies like AI.
00:54:31.400 yeah when my students like i'll give these lectures you know about like automation the
00:54:36.920 history of automation because again it's not new like you know the automation of like office
00:54:41.480 you know a lot of office work meant not that there were fewer office jobs but there were more
00:54:47.040 they were just like not unionized and should your jobs right and that's kind of what's happening
00:54:51.120 with ai you know is that there's that ai african intelligence not artificial intelligence because
00:54:57.360 there's so much human labor going into it mostly from africa yeah yeah but i do think a better
00:55:03.620 world is possible i think like part of it is like facing up to these questions as genuinely political
00:55:09.340 social questions about like what society we want to live in i got these questions at the end of
00:55:14.300 lecture where they're like okay so what industry should i go into they told me to learn how to code
00:55:18.980 uh clearly that's not the future right that that industry is going what industry is safe and i was
00:55:23.940 like no no that's the terrain of struggle you are political actors in a world you know where like
00:55:30.640 you get to fight over that this is what is yet to be determined and once you know like there are
00:55:36.600 obviously like material constraints right but a lot of these questions are things that we get
00:55:42.300 to act on and we just don't see these choices that's available or like you know like obviously
00:55:48.160 like political power and economic power has been so concentrated especially over the last 10 years
00:55:53.300 I think it's not something we've registered. And it's part of why AI feels so oppressive and like
00:55:57.640 why we're having the kinds of conversations we're having about technology. Actually, society has
00:56:02.580 changed a lot. But what it is important to make clear to people is that these are not settled
00:56:06.920 questions. Like your job, the job that you want to do, the creative work that you want to do,
00:56:12.400 you can do it. We can live in a world where we want not everything to be automated in a specific
00:56:17.500 way but it requires you to see this as a political struggle and to figure out like what levers you
00:56:24.220 need to pull or not you specifically but like us you know a collective right nothing ever happens
00:56:29.480 but like what levers you need to pull to fight those political battles and to win those political
00:56:34.660 battles or social you know whatever yeah but it's not the technology that's acting that's that's
00:56:39.580 what i really wanted them to see and i i hope that we move in that direction well me too and i i think
00:56:45.020 that that's a great place to stop. So, Susanna, thank you for coming on here. This is a great
00:56:50.060 conversation, and we clearly need to sit down and have a much longer one sometime soon.
00:56:55.340 Thanks so much for having me on. This is so much fun.
00:56:58.200 Thanks.
00:56:59.840 Thanks again to this week's guest, Susanna Glickman. Next week, we've got the hosts of
00:57:05.920 our fellow Multitude show, Wow If True, Amanda Silberling and Isabel Kim. We'll be talking
00:57:12.680 about various kinds of weird internet dudes
00:57:16.740 and weird memes that made their way
00:57:19.960 into some of Isabel's writing.
00:57:22.100 And if you've read my work or her work,
00:57:25.140 you probably know what kinds of dudes I'm talking about.
00:57:28.680 To submit questions for future guests
00:57:31.780 and to suggest other guests
00:57:33.280 and to see more pictures of Babka,
00:57:36.260 join the conversation on Patreon.
00:57:38.560 You can also find us on YouTube,
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00:57:42.680 on the web and on Blue Sky at DreamingAgainstTheMachine.com
00:57:46.780 or just find us wherever you get your podcasts.
00:57:50.240 Dreaming Against the Machine is a proud member of Multitude Productions.
00:57:54.340 Our executive producer is Nick Karisimi.
00:57:57.020 Our associate producer is Rosie Thomas.
00:57:59.500 Our theme music is by Jared Emerson Johnson.
00:58:02.460 Our show logo is by Nick James.
00:58:05.200 And our fearless leader is Babka, the greatest cat in the observable universe.
00:58:10.020 I'm Adam Becker, and I'll see you next week.
00:58:12.680 Bye.