Dreaming Against the Machine - August 11, 2026


Episode 18: Science Policy, with Alondra Nelson

Topics
Episode 17: Weapons of Math Destruction, with Cathy O’Neil Episode 19: Space Colonization, with Lucian Walkowicz and Erika Nesvold

Episode Stats


Length

54 minutes

Words per minute

177.24

Word count

9,638

Sentence count

405

Harmful content

Misogyny

2

sentences flagged

Toxicity

3

sentences flagged

Hate speech

5

sentences flagged


Transcript

Transcript generated with Whisper (turbo).
Misogyny classifications generated with MilaNLProc/bert-base-uncased-ear-misogyny .
Toxicity classifications generated with s-nlp/roberta_toxicity_classifier .
Hate speech classifications generated with facebook/roberta-hate-speech-dynabench-r4-target .
Topics generated with Qwen2.5-3B-Instruct.
00:00:00.000 Welcome back to Dreaming Against the Machine. I'm your host, Adam Becker. This week's guest
00:00:07.860 is Alondra Nelson, who is a sociologist of science at the Institute for Advanced Study
00:00:14.280 in Princeton and used to run the White House Office of Science and Technology Policy under
00:00:21.920 Joe Biden. And I feel like that right there tells you why I wanted to have her on this
00:00:28.440 show, but I think politics is important. I think politics is something that happens the minute
00:00:34.000 that you have more than one person in a room. And I think that it will always be with us.
00:00:40.280 And I think that governance and policy are important things. And if we are going to think
00:00:47.540 about what a better future could look like, we are going to need to talk about what a better
00:00:51.460 politics and policy should look like. And that means that we have to talk with people who have
00:00:56.500 been on the inside. And Alondra spans two worlds, that world, but also the world of
00:01:04.440 studying science itself from the inside and the outside. And that's something that she and I have
00:01:11.820 in common. And so I thought she would make a great guest for this show. And unsurprisingly,
00:01:17.640 I was right, but that says a lot less about my acumen in picking guests for the show and a lot
00:01:23.500 more about Alondra herself. So here's Alondra. Alondra, welcome to Dreaming Against the Machine.
00:01:36.420 Thank you, Adam. Good to see you. Yeah, it's good to see you too. It's been a minute. I was out
00:01:41.340 there last fall when you very kindly invited me down to Princeton to have me go to that
00:01:48.280 wonderful talk by Will Oliver. Yeah, we're trying to think about quantum. I mean, you know, my lab
00:01:54.440 works in the space of emerging technologies. And so trying to get a beat on quantum as it's,
00:02:00.720 you know, much like genomics and AI, it's got the commercialization space and it's got the
00:02:06.580 basic research space and those things aren't quite aligned. And so it makes for a fascinating
00:02:11.160 discussion. Yeah, no. And that was also very helpful when I was writing that quantum computing
00:02:16.120 a story for Scientific American. What? I guess it was the June issue. Yeah. Yeah. Anyway. But this
00:02:25.800 is also a good segue to introducing you. I would attempt to introduce you and I would be terrified
00:02:32.680 of getting it wrong. Can you tell us what your lab works on and more generally who you are?
00:02:39.520 So I'm a sociologist of science and technology, always with a through line thinking about
00:02:45.700 social implications, social inequality. I have had lots of faculty appointments. So I've taught,
00:02:52.560 I've been on the faculty of Yale at Columbia. Now I'm at the Institute for Advanced Study.
00:02:57.140 And I have a lab called the Science, Technology, and Social Values Lab. And we look at, right now,
00:03:03.720 a lot, we're working a lot on AI and the social implications of AI. But thinking about my previous
00:03:08.660 work has been on genetics and genomics. And I'm also thinking about, I'm interested very much in
00:03:13.340 outer space policy, quantum, and its implications. What else to say? I had imagined my life,
00:03:22.140 if I was thinking about futures, not against the machine, but against what my plan was for my life,
00:03:28.060 did not include politics or a political appointment. But in 2016, I started working
00:03:34.360 on what was going to be my third monograph, and it was going to be on science and technology
00:03:39.360 policy in the Obama administration. So I started interviewing folks who had worked very, you know,
00:03:44.300 at DARPA, OSTP, et cetera, but it was really more of a book on the White House Office of Science
00:03:49.560 and Technology Policy. Through that research and learning to know, coming to know lots of people
00:03:54.900 who work in that space, I was asked to work on the, after there was a Biden-Harris ticket to
00:04:00.600 work on the campaign, writing policy memos, trying to think about, in a prior moment, how to, you
00:04:06.400 know, quote unquote, as the campaign said, build back better, but build back better things that
00:04:10.120 had been happening in the space around science and research. And then I was asked to consider
00:04:15.340 being interviewed for a leadership role in the Office of Science and Technology Policy. And I
00:04:19.880 ended up working there for just over two years at OSTP doing policy on AI and other things. So
00:04:26.140 there's a kind of before and after. And since that time, I've done, you know, I think academics
00:04:31.700 always like to imagine that our work has social implications. And if you're writing an NSF grant,
00:04:36.400 You've got to think about the broader impacts, et cetera.
00:04:39.040 But since that time, I've come to be working, you know, very much in thinking about policy, both in kind of public discourse and, you know, in collaborating with policymakers.
00:04:47.380 So I am, you know, a sociologist who's thinking about, you know, dreaming against the machine, I guess, or thinking about futures and how.
00:04:56.100 But now, you know, having worked in Washington, I have a new tool, which is like how policy helps to potentially done well, done at its best, can also help to steward futures that we want and mitigate futures we don't want.
00:05:09.420 Great. And I think, correct me if I'm wrong, that you're being overly modest here.
00:05:15.460 You ran the White House Office of Science and Technology Policy for a time, didn't you? You were in charge of it.
00:05:21.980 I did, yeah. For just under a year, I was the acting director of OSTP, so that portfolio
00:05:27.980 includes everything from astrophysics to agriculture to genomics, pandemics, you know,
00:05:36.620 AI, quantum. It was not anticipated, but it was the honor of a lifetime, and it's an
00:05:44.080 incredible team, and I think I learned a lot as a researcher, as a social science researcher,
00:05:48.800 about collaboration, because I think, you know, many of us work in fields that are you can work
00:05:55.920 on a big collaboration, but you can also just do the one off book. And I had mostly been somebody
00:06:00.880 who worked in small collaborations or one off. And the incredible thing about a place like OSTP,
00:06:06.300 which during my time had, you know, a team of like it was still a small White House agency,
00:06:11.740 but about 150 people was that they come literally from all over the country, from all walks of life.
00:06:17.100 I mean, our world, you know, talking to you as a former lapsed, I don't know how you would describe yourself, academic, Adam, journalist, academic turned journalist, you know, we think we live in this like very variegated world and we're really like one degree of separation from like pretty much any other academic, even if you're in a different field, you know, there's some kind of, yeah.
00:06:36.060 And this was just like, I literally did not know these people and we did not have overlapping even, you know, it was like three degrees of separation. So then how do you do a project, the project, which is the sort of mission of advancing what we hope is, you know, positive outcomes with and through science and technology for more than 330 million people? Like, wow.
00:06:59.880 academics are like we can collaborate but do we like each other and like do we want to have coffee
00:07:05.620 together do we want to be at conferences together yeah and you know i think working in the white
00:07:10.900 house it was the answer to all those questions is like no but we are you know we are united uh
00:07:16.980 in this mission that's just bigger than all of that so i've come back you know part of what i've
00:07:22.380 brought back for me from washington is i hope i think more agility and being a good collaborator
00:07:28.340 I had been at IIS since 2019. I established my lab when I got back here because I wanted to be
00:07:33.860 able to kind of operationalize what I learned about collaboration. So that's, yeah, that's
00:07:39.620 one thing to say about DC. Well, I have to imagine that given what's happened since you left DC,
00:07:48.820 the return of Trump, that you are not happy with what's going on with science and technology
00:07:58.320 policy in the u.s right now and i mean i well let me let me let you respond to that and then i will
00:08:05.380 tell you what i think and we can talk about it we work in different parts of the kind of research
00:08:10.180 ecosystem so i would love to hear what you think about this i mean there's a couple ways to answer
00:08:15.180 to begin i think you know there's the question that happened you know right after the election
00:08:19.280 that i got was like oh you worked on all this stuff and now there's a new administration and
00:08:24.640 it's probably all going to disappear and don't you feel sad and I think what you learn working
00:08:29.480 you know as a political appointee is that another administration even if it's a different you know
00:08:34.900 even if we had been followed by a Kamala Harris administration would have just had different
00:08:39.000 priorities and some things advance and some things don't advance and you like literally should not I
00:08:44.200 hope I mean many people do like cannot take it personally like that's just the like churn of
00:08:49.000 administrations. And so I've never taken, I think, any of the churn or the change or the, you know,
00:08:54.920 halting or transformation of the work that we've done in OSTB personally. I think, you know, as a
00:09:00.620 thinking person, I think we had figured out in many instances the best way to do the thing, you
00:09:05.380 know. And so I think with the sort of arrogance of the thinking, sometimes overthinking person,
00:09:11.680 we thought, like, we figured this out. Like, don't you just, can't you see this is the best plan?
00:09:15.280 And, you know, other people have different ideas. So, you know, so that's that's the kind of small answer.
00:09:21.240 The big answer is that what we're facing right now is, you know, fairly catastrophic for the American research ecosystem.
00:09:29.660 Yeah. The United States is the world's single biggest funder of research and development worldwide.
00:09:35.740 And so even if we so, you know, a year ago or so, you know, folks were saying, well, you know, maybe the EU kind of horizon grants and funding or, you know, France is doing this and there are these different projects and U.S. expenditure to research and development really just dwarf all of those.
00:09:53.580 And so when the U.S. sort of pulls back, much like and not unrelated to what's happening in geopolitics, when the U.S. sort of changes its R&D ecosystem, it's actually changing the whole world system, right?
00:10:05.540 It's changing a market system. It's changing a geopolitical system. And obviously, it has all of these national security implications as well.
00:10:12.020 And so we're in the midst of a kind of chaotic reordering. And in the middle of that are the loss of people's lives and livelihoods, the loss of, I think, long-term investments we had begun to make in young people and just sort of the capacity of lots of young people, K-12 through postdoc, to be able to do science wherever they kind of fit in or slot in there.
00:10:38.660 and just the capacity to, you know, to know what a time where we're trying to, you know,
00:10:45.180 we've got AI, this kind of emerging technology. What do we know about it? What can we know about
00:10:50.040 it? What do we know about its basic foundations, its social implications? And I think the sort of
00:10:55.520 rug pull for really important technological changes that are happening now. And then on top
00:11:01.680 of that, this kind of whole reordering is really just catastrophic. And, you know, I was speaking
00:11:06.900 to someone about this recently and they said, well, you know, and they were playing devil's
00:11:10.520 advocate and I totally appreciate it. They said, well, two years, another administration comes back,
00:11:15.640 you know, Congress puts all the money back and it's all fine, right? It's like, no, it's not
00:11:19.740 all fine. Actually, we have broken rules and norms. We've broken contracts. Universities that
00:11:25.100 had built capacity to do research can't just put that back when you no longer have the people doing
00:11:29.640 the work. People are changing fields. We've lost the goodwill and trust of some of our, you know,
00:11:34.700 I started talking about collaboration, some of our collaborators. And, you know, I don't know
00:11:40.140 how you get that back. And so it is, I think it's easy to focus on what's happening at NSF.
00:11:47.720 And for my own discipline, you know, they've dissolved the social and behavioral and economic
00:11:52.780 research directorate in full, which was like, I think, 1% of the NSF budget. So there's all of
00:11:58.020 that. And then there's like our inability to, for Congress to really exercise its power to ensure
00:12:04.540 that money that is appropriate is being used for the things it's supposed to be used for.
00:12:08.900 So even if all of the budgets stay the same or come back, we now have created a practice
00:12:15.820 in government in which the money that's appropriated doesn't actually go for the vision that the
00:12:21.840 people's representatives in Congress say science and technology should be doing, be invested
00:12:26.500 in, et cetera.
00:12:27.560 So it's a mess.
00:12:29.160 It's a bit of a mess.
00:12:30.080 What do you think?
00:12:30.620 I mean, everything that you just said sounds about right to me, but I just keep thinking about, I mean, I'm going to make a comparison that I'm always hesitant to make.
00:12:40.320 My first book was about the history of quantum physics. Quantum physics has been around for about 100 years and most of the originators of it were in Germany between World War I and World War II was when we first really came up with the first real theories of quantum physics.
00:13:00.620 Quantum physics and the rise to power of Hitler changed the way that science was done in Germany.
00:13:10.700 Germany had been far and away the world's premier scientific superpower.
00:13:15.660 You know, the international language of science was, if anything, German.
00:13:20.100 And then Hitler came to power and immediately, you know, one of the very, very first things that his government did was to fire everyone Jewish who was in the civil service, which included every single Jewish university professor.
00:13:37.420 And so just very, very quickly, science in Germany was decimated. That was the beginning, or depending on how you look at it, I guess, the end of a process where the U.S. became the world's scientific superpower and English became the international language of science. 0.71
00:14:00.820 And this just looks a lot like that. And I mean, okay, listeners, for those of you who don't know, which I guess would be most of you, one of the reasons I'm hesitant to make these comparisons is my family has a history with persecution by the Nazis.
00:14:20.280 My grandfather's entire immediate family was murdered by the Nazis.
00:14:24.120 And so I don't take it lightly making these comparisons, you know, and of course, there's
00:14:28.860 the old Internet rule, Godwin's law comparisons to the Nazis mean that you lose the argument.
00:14:34.680 But I this just seems this does seem like an echo of that.
00:14:42.260 It seems like, you know, history rhyming, as it were.
00:14:45.380 Yeah.
00:14:45.820 And I am not sure how we come back from this.
00:14:50.540 I mean, you know, everything you just said, the part where I was thinking, yeah, that's what I've been telling people when I talk about this is when you said, yeah, we can't just put the funding back.
00:14:59.780 That doesn't fix everything because, you know, some things that are done can't be easily undone.
00:15:05.380 And this is not to say that the system that we had in place before was perfect.
00:15:11.140 Hallelujah.
00:15:12.140 Yeah.
00:15:12.380 Hallelujah.
00:15:12.740 There are all sorts of problems with it, but, you know, certainly it's much, much better than what's going on right now.
00:15:23.360 But this is Dreaming Against the Machine, and we try to think about what a good future might look like.
00:15:28.420 And so I'm going to put you on the spot, Alondra.
00:15:32.460 You just said that you don't know how we build it back, but how do we get this back?
00:15:38.320 assume that, you know, in two years, Trump and his, his cronies are gone permanently this time.
00:15:46.680 What do we do? How do we, how do we build a better future for scientific research,
00:15:52.860 not just in the U S but around the world? Well, first of all, let me just say,
00:15:56.240 I'm so sorry about your family history. Um, that's, you know, traumatic and catastrophic.
00:16:00.920 And I totally resonate with what it takes for you to make that comparison more than even
00:16:05.140 others of us right you know like you know that's not something you think take lightly
00:16:09.040 you know if i'll just talk about my own background i mean i think one of my early projects and i don't
00:16:14.240 know if we're going to talk about this was trying to build out what we now called afrofuturism but
00:16:18.940 you know part of what was uh in the early thinking of afrofuturism is kind of canonical
00:16:23.380 sort of essay was really like how do you come from a past which is the descendants of enslaved
00:16:30.180 people who like literally had no agency over their future and like imagine other kinds of
00:16:35.000 futures. And so that for me is I think fuel for the necessity of having, if not optimism, hope
00:16:43.620 and always trying to find other ways, new ways, orthogonal ways, you know, trickster ways of
00:16:50.340 thinking about what we might do in the future. And so I think exactly to your point, like my,
00:16:57.020 as a sociologist of science and technology, I would probably position most of my past work
00:17:02.280 in the space of reform. So I was never like status quo. So great. You know, like sitting
00:17:09.560 here in my office in IAS, you think about somebody like Oppenheimer and the Manhattan
00:17:13.240 Project. So great that we use all of our talents to like bomb things, you know, and kill people 0.96
00:17:18.220 like, no, you know, not amazing that places like a precursor to the NIH, like experimented 0.97
00:17:25.400 on Black people, experimented on Black soldiers, you know, did unethical research, like not great
00:17:31.260 that many communities have been excluded from even being able to do science. I mean, so there's just
00:17:36.160 so many things that were just not fantastic, but that were getting better and that there was at
00:17:41.360 least a space to have a conversation about. So that said, you know, last summer, about a year
00:17:48.380 ago, I started a project with a colleague who teaches at UC Santa Cruz named Jenny Reardon,
00:17:54.080 And we call it the public's science. And it is exactly to your point, Adam. It's like, if we are going to build something else or we're going to have to, what should that look like? And we thought that it should be much more publicly engaged, much more publicly accountable, much more sort of transparent to the public.
00:18:13.160 Some of the work that I did working in the Biden administration and some of, you know, you saw a little bit of this in the Obama administration as well.
00:18:21.220 Their eight years of science policy was trying to do a little bit more of that.
00:18:25.220 So one of the policies I worked on was making a federally funded research findings or papers like the initial freely available to the American taxpayers.
00:18:37.100 Right. So just this. And, you know, we this sort of came to a head during covid where the science was moving really fast and the public were experiencing paywalls as like, you know, people trying to keep information from them about fast moving science.
00:18:52.040 In some instances, it's just like, oh, no, I've got to pay to get access to my own paper that I wrote.
00:18:56.400 No, it's not just, you know, no, it's not a kind of vast conspiracy.
00:18:59.200 So we convened a bunch of people, about almost 22 dozen people, and we are doing a double special issue of the Annals of Political and Social Science that will come out, I think, probably in October.
00:19:09.800 And it's just soliciting from lots of people other ideas.
00:19:12.880 I don't have the, you know, the ideas, but I think it can be, you know, in a moment in which you have a kind of Maha movement that's saying we don't trust vaccines and we don't trust science.
00:19:25.560 Like, I don't know what to do about that.
00:19:27.920 I will say, you know, there are parts of the black tradition that are very distrustful of science as well. 1.00
00:19:33.940 So I know how to do what to do about that. 0.77
00:19:36.020 And I think you give people access to information and you can't control whether or not they create a big red string, you know, kind of thing on their wall with it, you know, but you try to give them, you know, the access to the information.
00:19:49.940 And I think a first step is that.
00:19:52.620 And so, you know, we've got lots of, you know, what do we need to do with the NSF?
00:19:56.680 Could the NSF be structured differently?
00:19:58.520 Should we have an Office of Community-Based Innovation?
00:20:02.300 How do members of the public, what have we learned from, you know, about 20 years of
00:20:08.980 community-based participatory research in some of our fields?
00:20:12.020 Like, do they work?
00:20:12.800 Do they not work?
00:20:13.500 How do we assess them?
00:20:14.900 You know, and there's lots of other people I know working on similar projects.
00:20:18.360 The hard thing has been watching all of this kind of chaos and destruction that I think
00:20:23.020 many of us wanted to sort of have a kind of strong defense.
00:20:27.840 And I think the defense that we want to have of the status quo, if we want to have one at all, is a very soft defense, right?
00:20:34.860 You know, it's not like this was not what we wanted.
00:20:37.260 And there were lots of problems.
00:20:39.380 And I think, you know, for me, it was like this has been, you know, the R&D ecosystem has been very much imperfect.
00:20:45.460 But I think that we were sort of getting better.
00:20:48.120 So what can we imagine?
00:20:49.240 I think we can imagine.
00:20:51.280 I mean, one of the things that was surprising to me, Adam, when I worked in government was like how little we knew about like where money went.
00:20:57.600 I think governments need to make public good choices, choices about the commons that are not about a cost benefit analysis and a strict market sense.
00:21:07.400 Like, you know, we just need vaccines for everybody. And if like and we just need to pay for it.
00:21:11.560 Like, for example, it's not like, you know, how do we afford it? We just figure out a way to afford it, for example.
00:21:18.380 So I want you to hear, you know, I'm not saying I want like for every federal investment in science and technology,
00:21:24.560 for every federal investment in physics, we want a kind of ROI calculation. But I was struck in my
00:21:30.020 time working in government, how little we know about like where things are spent. Like if someone
00:21:35.080 asked you, you know, Londra Nelson's had some, you know, federal grants, what federal grants has
00:21:39.920 she had over X many years? And what has she been working on? Like there was no way to find that
00:21:44.480 information. Like there's no kind of seriously, right? So there's fields, you know, people are
00:21:50.360 trying to do more science of science,
00:21:52.620 meta-science, science of social science,
00:21:54.640 which have their, you know,
00:21:55.540 are imperfect in their own ways.
00:21:57.380 But I think our attempts
00:21:58.520 at just getting more visibility,
00:21:59.780 and I think things like that
00:22:01.720 will be helpful in giving the public
00:22:04.440 at least more information
00:22:05.740 about kind of what's happening
00:22:07.580 with, you know, federal expenditures.
00:22:09.560 So there's that.
00:22:10.740 But also we could just imagine,
00:22:12.660 like, right now, you know,
00:22:15.380 we are building,
00:22:16.780 what's being built out right now
00:22:18.040 is like technology for new defense companies,
00:22:21.640 technology for only national security,
00:22:24.860 science only for profit national security
00:22:28.120 if there's private sector collaborators,
00:22:30.860 a kind of erosion of basic research.
00:22:33.680 So to get, you know,
00:22:36.080 why we can do something like AI now,
00:22:39.080 why we can do whatever this quantum commercialization thing
00:22:42.760 that is happening right now
00:22:44.040 is because there were federal investments
00:22:46.100 and basic research a generation prior
00:22:48.080 and that people didn't know what we're going to.
00:22:50.620 And we, you know, I think, you know,
00:22:53.280 we very much need to get back to that space,
00:22:55.360 but a space in which the public has a bit more insight
00:22:58.000 and a bit more say on what that is
00:22:59.860 and what that looks like.
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00:24:09.580 i was just thinking while you were talking about how yes we make those investments and and it really
00:24:19.580 does feel like the business model or i don't feel like the business model it is the business model
00:24:25.760 for some of these companies to you know have the government subsidize the risky part of the
00:24:32.300 research. And then, you know, we socialize the costs of the risky parts of the research and then
00:24:40.560 privatize the benefits. And I feel like part of the disconnect for the public of, you know,
00:24:47.360 not seeing the value of basic research, you know, not that I'm saying that basic research always has
00:24:54.120 to have a financial return, but it often does. And I think it would be good to have more of those
00:25:00.160 benefits socialized as well. And I suppose they are in the sense that like, you know, we get the
00:25:05.180 vaccines and whatnot, but it's just the extreme concentrations of private wealth. The obvious
00:25:14.260 example here, I guess, is Elon Musk. That money that he has, a lot of it comes from doing that
00:25:22.240 on a on a mass scale uh letting the government subsidize the risky parts and then he just
00:25:30.280 reaps the profits you and i know that but i think a lot of other people don't i mean i think people
00:25:36.780 driving their teslas and um you know using starlink which is increasingly becoming a utility
00:25:43.180 for the world yeah don't really uh you know and this is where i think i get i i i have you know
00:25:50.840 I have such mixed feelings about the Trump administration taking sort of financial stakes
00:25:55.240 in companies. But when you look at something like Tesla, that was really, you know, quite a bit
00:25:59.900 financed by American taxpayer money in a first instance, you do think like, well, you know,
00:26:05.740 sort of what's in it for the rest of us who sort of helped to sort of build the capacity to do this.
00:26:11.080 So I also think, you know, there there's a consolidation of the money and the power and
00:26:17.860 the technology um and then there's the super equally important particularly for a figure like
00:26:24.360 musk is the the capture of the imagination right you know and so i think and i don't you know i
00:26:30.380 didn't live during the age of the robber barons i've only read about you know the progressive
00:26:34.840 era and kind of how people were um but we didn't have uh the sort of mass communication in the same
00:26:41.620 way um and and i think what makes this moment so terrifying sometimes actually is that power
00:26:49.560 consolidation like sort of literally on all of these different valences all at once including
00:26:54.580 the very ability to imagine and articulate and actually disseminate like you know your idea of
00:27:03.300 what a good future looks like well i mean you know this but that's exactly what i was going after
00:27:07.900 in my most recent book uh and i mean speaking of the robber barons i guess something that gives me
00:27:14.920 hope is that you know we're going through a second gilded age and the first gilded age was
00:27:19.720 followed by the progressive era but yeah i mean they they really have captured the imagination of
00:27:27.720 what the future could be like you're right that we didn't have mass communication then the way
00:27:33.560 that we do now although i suppose it was the early days of uh you know the robber barons were
00:27:40.160 around when when we're building out the first systems of mass communication and mass transit
00:27:45.940 radio telephone mass transit yeah yeah yeah exactly telegraphs i mean the thing that really
00:27:51.780 gets me the thing that i've been really fighting against just in my in my public life and in my
00:27:58.380 private life uh is is the ideas that these guys are pushing about ai yeah because there is this
00:28:04.380 sense of inevitability and i keep talking with people and i mean i live here in the san francisco
00:28:09.920 bay area and i see these billboards everywhere and i've talked about this on previous episodes but
00:28:14.280 like the idea that ai is eating our idea of what the future can be and i think that that's a real
00:28:23.820 tragedy right you know we have so many ways the future could be and we are being told no
00:28:30.320 this one technology with this one vision of what it is is inevitable and has to keep going
00:28:39.360 and it is going to be the single most important thing and putting aside questions about like okay
00:28:47.680 why are we calling large language models ai the harms that are inflicted by building these things
00:28:54.200 in the first place the environmental harms um and putting aside uh the sort of personal social harms
00:29:01.800 that are created by putting them out into the world like the the incidence of ai psychosis and
00:29:07.280 whatnot just this idea of uh the way that i mean to use another historically loaded word but the
00:29:14.420 way that the idea of AI has colonized our idea of the future. Yep. A hundred percent is I think
00:29:21.360 something that we really need to fight against. Totally agree. Tell me about how you think about
00:29:27.440 that. Uh, I mean, you spent a lot of time thinking about AI. I'll talk about it. Um, maybe in two
00:29:32.760 ways. First we'll be, um, we'll be around policy because I think I have, I think there's that we
00:29:38.180 need to bring a different kind of philosophical approach to policymaking around technology.
00:29:42.680 And if we think about, there's, you know, people think about policy and they think about getting, you know, going to a policy school to get a degree, but policy really is an articulation of a future, right? Like you are saying, like, you know, and so I try to think about policy as kind of proscriptive kind of future text.
00:30:02.280 Like, this is a possible future that we could have if this law is passed, if this policy is implemented. And it is saying that this is the current state and we are, we're trying to steward a future state that looks like this and the policy becomes the vehicle for doing that, right?
00:30:18.820 So I think when you get to AI, when people tell you that what should drive policy is the technology itself, right? You lose the ability to, this is one of the ways the features get captured, right? So you're just like, well, you know, the only, like, you know, I was at a conference in London over the weekend and I got, you know, a really smart question, but the person said, the technology is moving so fast, we can't possibly create any policy around it.
00:30:46.340 And it's just like, well, policy is not the technology, you know, like this sort of sense that like every time you get a new release of a, you know, you go from Opus 4.5 to 4.8 or whatever, I don't even know what version we're at right now, that like you need to have a new policy as opposed to saying that policy is the future state that we want.
00:31:06.060 So if we want a future state in which, and, you know, we can argue about what the future state is, where technology, these technologies aren't used at all, where, I mean, you know, my preference is like they are used, they are reined in, they are responsible that you've got, you know, you've got sort of across the life cycle of them, ways to check in, see what they're doing, you know, everything from risk assessments to pre-deployment assessments to audits after they're released, all of that.
00:31:31.260 But if you only focus on the technology, we're not building the capacity to say we want a policy future state that like requires these things to happen.
00:31:41.360 And that requires that, like, public investments, you know, and technology, you know, should be the thing, you know, and public expectations about technology, they shouldn't dirty our water, drive up our electric bills by 25%, etc., should be the thing on which policy is set, not the new release of the technology.
00:32:03.620 So I think the policy space is so hard right now because lawmakers and advocates are allowing themselves to be captured by narratives that say that you only make policy around the technologies instead of anchoring it in the true north, which is like, what are social goods and what are public goods?
00:32:22.840 And then how do we create policy that requires the purveyors, developers, and builders of these technologies to meet those benchmarks, like to meet those social good benchmarks, right, as opposed to a new technical benchmark.
00:32:35.360 So that's one way to answer.
00:32:37.580 Another is, you know, I've been doing a project with a colleague at Harvard named Moira Weigel, who's a, like, you know, she's a comparativist.
00:32:45.820 She's a literature scholar.
00:32:46.880 Oh, yeah, I know her.
00:32:47.500 Yeah. So Moira and I have a project and part is on, it's like thinking about not just that industry leaders, VCs, you know, private equity folks have captured our future imagination, but what are the genres that they use to do so?
00:33:04.440 So the project is looking, you know, we've got a postdoc colleague, Karina Albrecht, who's working on like sort of CEO keynote addresses, like, you know, everything from like, you know, Steve Jobs to Jensen Wang.
00:33:20.260 It's like, what are the futures that are told in these kind of once a year, maybe twice a year kind of product release kind of, you know, Lollapaloozas that are not just, you know, they're marketing and the marketing is selling you a future, right?
00:33:34.580 If you use this product with a new release of Siri or whatever, X things happen in the world.
00:33:40.760 I'm working in particular on manifestos.
00:33:43.120 Like I'm very interested in the manifesto as a form, both as a historical form.
00:33:48.620 like so if you think about you know if you go back to the italian futurist you think about the 80s
00:33:53.000 and 90s you think about or the early arts you think about cyber manifestos you know there was
00:33:58.700 a lot of kind of feminist artist coalitions working on manifestos and now thinking about
00:34:03.880 the manifesto today which is um not an artifact or genre of a collective right so you don't have
00:34:11.980 to agree with the italian futurist but that manifesto was intended to like represent a
00:34:16.760 collective vision of something. Ditto kind of feminist art manifestos, et cetera. Whereas 0.83
00:34:22.580 the manifesto today is like one guy and his grievance. Yeah, like Mark Andreessen, for
00:34:29.200 example. So we've got this corpus of manifestos. We're coding them. They're super fascinating.
00:34:35.920 And, you know, we're having friends and neighbors help with some of the coding. But I think, I mean,
00:34:42.080 you know, they share with past manifestos of different kinds of political
00:34:45.420 ilks, you know, that something's gone wrong in the world. We want to make it right. This is how
00:34:50.580 we think we should do it. But I think this moment is so interesting in that the manifesto has become
00:34:56.000 this vehicle of an individual. Like, it's not about a movement. It's me and what I think the
00:35:00.660 world should be, and that I should have the power and authority to forecast and disseminate to the
00:35:07.480 world my idea of what everybody else's future should look like you know they often don't even
00:35:11.720 include a gesture at enrollment like adam you've read my manifesto don't you agree don't you want
00:35:17.420 to join like there's not a call to action or an attempt to enroll it's just like i doth say and
00:35:23.160 like we should sort of keep moving so there's also like the pitch deck which is i think a way in
00:35:28.760 which the future is kind of captured so we're trying to look at these different um not only
00:35:33.580 that the future has captured but the ways the gestures and the genres um that it takes that
00:35:38.440 it takes the forms it takes oh my god i have so much to say about this you know how i feel about
00:35:43.700 andresen's manifesto the techno optimist manifesto i loathe it it's one of my favorite punching bags
00:35:50.520 and uh to the point where i sometimes feel like i'm overdoing it or i'm not being fair and then
00:35:57.740 And I remember, no, no, no, no, no, no.
00:35:59.420 Mark Andreessen is so, so far up there,
00:36:02.100 I could punch all day long
00:36:04.040 and I would still be punching up.
00:36:05.580 Yeah.
00:36:06.000 It is such an aggrieved document.
00:36:09.660 The funniest line in it is when he says,
00:36:12.040 we believe in a total rejection of resentment.
00:36:17.040 And I'm like, really, buddy?
00:36:18.780 This is one giant piece of resentment.
00:36:23.960 And what he resents,
00:36:25.140 and this goes back to your first point,
00:36:26.800 is that anyone is even possibly talking about regulation of tech at all.
00:36:34.620 I mean, I feel like in some ways that entire manifesto,
00:36:38.820 this is almost certainly an overstatement,
00:36:40.620 and I don't know what was going on in his head,
00:36:42.940 but I think in some ways that entire manifesto is just Mark Andreessen saying, 0.80
00:36:48.620 I don't like that Lena Kahn has a position of power.
00:36:52.060 Right. This idea that AI is moving too fast to regulate. This is just the latest version of something that Silicon Valley has been saying since its earliest days since or at least since the earliest days of the modern incarnation of the tech industry, you know, in the I don't know, late 80s, 90s in the in the early days of the Internet.
00:37:13.400 they were saying, oh, well, it's moving too fast. You can't regulate it. And there were manifestos
00:37:20.020 then too, right? I mean, the Declaration of Independence of cyberspace. Exactly. And we've
00:37:25.020 seen what that leads to, right? Because people listened to them. People thought, oh, yeah,
00:37:30.620 they're right. It is moving too fast to regulate. And then this is where we ended up. But even
00:37:37.960 something like the Declaration of Independence of cyberspace or some of the 90s to early aughts
00:37:43.220 manifestos at the very least, like, even if you didn't, didn't agree with them, we're trying to
00:37:49.820 make a collective claim for, you know, like, I think what I find so striking about the kind of
00:37:57.200 contemporary tech manifesto version is that they're just often about the self and like the will to
00:38:03.580 power of the self. And, you know, we don't, you know, we're not in a bigger world. It doesn't,
00:38:07.820 I don't care what everyone else thinks. I mean, you know, I think you talk about the,
00:38:10.860 the techno optimist manifesto it's really like there's constraint all around me and i shall not
00:38:16.280 be constrained and like so on the one hand right we want agency and freedom but on the other hand
00:38:22.200 to live in society to live in community means that there are some constraints on all of us
00:38:29.460 right you know to have a marriage means that there's some constraints right you know um
00:38:33.240 as as we you know as we know and so sure but like they uh sorry not to interrupt no like that's
00:38:38.660 exactly what they don't believe, right? They don't believe that we live in a society as the
00:38:44.380 meme says. No, exactly. And so you see that kind of manifest and utopian to some, dystopic to most
00:38:52.980 of us, these articulations of futures that only apply to a few, don't include people. The manifesto
00:38:59.760 is a genre of grievance. And I think it's not for naught that the acceleration of that as the genre
00:39:06.980 form of articulating futures is what we're living with right now. I mean, I think it says a lot
00:39:13.380 about the politics of this moment. What more perfect genre could there be for polarization,
00:39:18.580 for polarized, you know, a kind of society than the manifesto in some regard? Yeah.
00:39:25.400 I'm thinking about what you said. It hadn't occurred to me, but of course, you're completely
00:39:28.800 right that the manifesto used to be a sort of collective articulation and now is this more
00:39:36.260 personal thing when it comes from the tech industry and i just have to think that that has to do with
00:39:43.160 the rise of tech billionaires right the difference between the tech industry at the time of the
00:39:49.820 declaration of independence of cyberspace which when was that that was like 94 uh somewhere around
00:39:56.140 something like that yeah yeah and andreessen's techno optimist manifesto which is what 30 years
00:40:01.340 later uh 2023 is that in 1994 uh there were no tech you know billionaires or there there
00:40:09.600 certainly were no software billionaires except maybe bill gates bill gates yeah um but other
00:40:15.520 than that like there there weren't the tech industry was not the single dominant industry
00:40:20.000 of american society at the time i mean it certainly not financially that was i don't know
00:40:25.420 in the in the early 90s or mid 90s i guess that would have been banking or something like that
00:40:29.460 Whereas now, you know, it's the tech industry and suddenly we have this, you know, this second Gilded Age and these robber barons in a way that we did not have in the 90s.
00:40:44.040 And so, of course, they're going to go out there and say, you know, well, this is my feeling, except Mark Andreessen in his manifesto is still using the first person plural, right?
00:40:54.520 He still says we without saying who we are.
00:40:57.780 And I think, yeah, and I think that's distinctive. I mean, it makes the claim for the we, but it's really not a we or it doesn't define the we or describe the we, you know, and I, yeah. So anyways, we could go down that rabbit hole for a while. But I mean, I think some of the way, you know, you said, you know, you're trying to sort of fight back in the narrative way.
00:41:16.140 I think partly what, you know, Moira, Karina and I and some other colleagues are trying to do is understand the sort of narrative form that these claims on the future take and the power, like, you know, what is the emotional power?
00:41:31.380 Manifestors have an emotional power, right?
00:41:33.360 I think, you know, I was really interested, you know, we can talk about Alex Karp, you know, sent out a couple of months ago, you know, a tweet that was, you know, best I can tell, you know, I don't know what chatbot, Claude Grock distillation of his book.
00:41:51.160 Yeah.
00:41:51.360 Uh, and it was, you know, I think it's 26 or 28 statements and immediately everyone is like, 0.98
00:41:59.860 there's this carp manifesto. And like, so like, what, and like, why is it called a man? You know,
00:42:03.780 I was immediately like, why is it called a manifesto? And I think it's like one guy,
00:42:08.060 there's grievance. It's like, you know, we don't want the state to get in our way. We think,
00:42:11.940 you know, we don't want, uh, you know, we're the most powerful nation in the world. We should
00:42:16.340 decide all the things again speaking of the we but not really trying to enroll you know a we like
00:42:22.700 just using a kind of royal we let's say and then another example a few weeks later was when pope
00:42:29.720 leo released the magnificati monica and you know and and there was some attempts to in the public
00:42:37.440 just in the discourse to sort of frame it as a manifesto yeah and it's like well you know i so
00:42:42.340 I'm so I'm I'm very interested in those those turns and I thought like it's not a manifesto
00:42:47.960 uh you know it is like you know it has a formal or formal kind of uh you know a kind of a you
00:42:53.800 know it is the the sort of pope speaking to the world and not only to the small community of
00:42:59.260 catholics so it's a document that's meant to be speaking to the world and also it's a document
00:43:04.280 that is making different from carp's tweet or anderson's techno-optimist manifesto that's like
00:43:11.960 sort of making claims for the common good and about sort of where AI should sit in a global
00:43:18.440 community. And that has an actual real we and also is naming stakes and claims for actual we's
00:43:25.960 that are not sort of disguised as a we, you know, which is actually an I.
00:43:30.360 Just to bring our listeners in, Alex Karp is the CEO of Palantir, the absolutely horrible tech
00:43:37.800 surveillance and um military contractor his book what i think the technological republic i think
00:43:45.040 is what it's called um something like that if you want to see a good breakdown of what it is
00:43:50.520 actually about that is not an ai summary go have a look at um friend of the show and past guest
00:43:56.940 dave carp has a blue sky thread about it um and a post about it on his uh on his sub stack but
00:44:03.020 Hi, Dave. I know you're listening.
00:44:04.920 Hi, Dave.
00:44:05.700 Yeah.
00:44:07.660 Anyway, I have so many more things that I would want to ask you, but I know that we're running short on time.
00:44:12.880 So I am going to ask you two last questions real quick.
00:44:18.300 The first one is, what is your favorite piece of science fiction and why?
00:44:24.700 Or, you know, speculative fiction about what a future could look like?
00:44:29.780 Oh, I'm just going to tell you the two things I've been watching recently, because that's usually my favorite. Well, okay, my all-time favorite forever forever is always going to be Octavia Butler. It's always going to be Kendred, which people don't place in the science fiction categories, one of her early novels.
00:44:45.860 yeah but it is science fiction it is science fiction and it also is so resonant with the
00:44:52.740 experience of black people or people and i think um maybe it resonates with you given your family's
00:44:58.740 history the sense that you could always be snatched back like that you could always like
00:45:02.980 for all the progress for all the change um i've been also thinking about kindred because it's set
00:45:08.520 during the bicentennial so as we're having our semi sem quintennial you know kind of celebrations
00:45:14.700 you know it's it's it's all of the like it's it starts in june of 17 of 1976 the end of it is
00:45:20.900 july 4th 1976 and it's just like her being snatched back to the past in this sort of sense
00:45:26.280 that we live past present future all at once so that's like all time hands down that book changed
00:45:31.620 my life forever yeah but what i've been watching are two one different things so i've been i've
00:45:37.880 just started watching starfleet academy love god i really really need to watch it i'm so excited to
00:45:43.360 see it i just it is just it gives you all the like star trek goodness you know but it's also
00:45:50.360 got like new characters and there's new you know new races from different planets and you know
00:45:57.520 just all of that like sort of goodness there's always i think in all of those the sense of the
00:46:02.740 underdog and uh the sense of of looming kind of global you know kind of domination and this
00:46:09.760 series it's uh they've come out of much like i mean go back to butler much like sort of parable
00:46:16.340 of the sower have come out of like a deeply deeply dystopic time and it's sort of what does
00:46:20.620 it mean in this case to like rebuild starfleet academy what does it mean in the butler case to
00:46:25.460 sort of rebuild a communal life and a communal religion communal spirituality for all of us
00:46:31.020 then i stumbled across something called the copenhagen test do you know what this is on
00:46:36.840 peacock no what is this which is okay so it's it's fascinating on a couple levels so it's about a
00:46:43.040 chinese american um spy so i think he's like a cia operative or something but because he's chinese
00:46:51.520 american he is distrusted like so it's it's like well you know your country of origin origin so
00:46:58.920 there's this kind of through line um that we know from if if you read kind of any asian american
00:47:04.800 studies or you know kind of ethnic studies literature this kind of constant questioning
00:47:08.880 of like loyalty of true citizenship like whether or not your parents were you know your family was
00:47:14.360 here in california during the gold rush like 200 years ago whatever it's this kind of question
00:47:18.620 but it is also this kind of sci-fi thriller a bit you know without giving too much away he's
00:47:25.940 basically like a walking wi-fi tower someone has biohacked his brain and all of this kind of
00:47:32.700 espionage and intrigue ensues. It's like absolutely fascinating. So those are, those are my,
00:47:38.000 so my all time favorites are always in Octavia Butler world, but those are my current two
00:47:42.100 favorites. I love this answer. What about you? What about you? Oh God. Well, okay. So first of
00:47:47.560 all, let me explain why I love your answer while I'm thinking in the back of my head about what
00:47:50.960 my answer is, but no, I love this answer. Not only because you've given me a new piece of science
00:47:56.920 fiction to go take a look at i've never heard of the copenhagen test but also i'm so glad a that
00:48:04.680 you're a star trek fan and b that i didn't find this out until the end of the episode because
00:48:08.160 otherwise that's all we would have talked about oh we could have gone there yes yeah yeah we'll
00:48:12.620 have to have you back and and just talk about okay but um uh for me i mean i'm just gonna do
00:48:18.780 the same thing you did and talk about what i've been reading and watching lately uh so one tv show
00:48:24.400 one book i really enjoyed pluribus and i'm very excited for the next season and i'm currently
00:48:30.640 reading a very odd sort of science fiction series that uh i think it's obviously science fiction i
00:48:39.400 think some people would disagree i did find it in the science fiction section of a bookstore uh
00:48:44.440 it's called on the calculation of volume and it's about a woman trapped in a time loop and it's a
00:48:49.460 series of, it's a series of books originally in Danish. They're very short and, uh, each one is
00:48:57.760 very short, but there's apparently seven volumes and only, I think four of them have been translated
00:49:02.000 into English so far. So I'm just finishing up the first one and, um, it's fascinating. Anyway,
00:49:08.780 we have time for one more very quick question, I think. Uh, so I am going to ask you,
00:49:14.820 And Alondra, what are you feeling hopeful about?
00:49:18.380 I think I am feeling, I mean, this ties to our whole conversation.
00:49:21.060 I'm feeling hopeful that I come from a tradition, a genealogy, a community of people and their
00:49:28.900 allies who just keep going.
00:49:30.940 I mean, who just have like literally faced genocide, faced, you know, literally being
00:49:37.060 chattel.
00:49:37.620 And so as much as I find this moment deeply, deeply challenging, I find it worrisome.
00:49:43.900 I am working arms locked with others as much as I can to help there be a different outcome
00:49:51.000 and, you know, play it like in science policy and people's lived experience, you know, etc.
00:49:57.040 I just feel like I can only have hope because I know it's been so much worse.
00:50:01.860 And yet here I am with all of the opportunities and the, you know, the agency that I have.
00:50:07.900 And so I know that, you know, I think sometimes people want answers that, um, are not tied
00:50:15.140 to the past in a sort of way, but that for me is so foundational.
00:50:18.460 It is the, the wellspring, it is the power, it's the energy that, you know, that is like,
00:50:25.560 just is the undercurrent for everything in my life and has been, you know, good times
00:50:29.400 and bad times.
00:50:30.620 Yeah.
00:50:31.240 So that means, yeah, that means, you know, just a news clip from this week, you know,
00:50:36.020 I served on the, I spent part of my time in New York City. I'm a registered voter in New York
00:50:42.340 City, even though I work in New Jersey. And I served on the transition committee for Mayor
00:50:48.540 Mamdani. And this week, they've just announced a new technology initiative, which is called the
00:50:54.580 Pit Crew, which is Public Interest Technology Crew, which is sort of taking some ideas from,
00:51:01.100 you know, the U.S. Digital Service and others. But again, to that point, I was saying about
00:51:05.660 anchoring and values in the true north, saying, what would it mean to use technology to make New
00:51:12.800 York City fairer, more just, more affordable, more inclusive? When I was asked to join government,
00:51:17.820 the thing I thought immediately was like, wow, this is really hard. It's the only thing,
00:51:22.080 you know, I was like the ace student. I always got the gold star starting in kindergarten,
00:51:25.620 you know who we are. Like, so it's the one thing I've been asked to do where I know is going to
00:51:29.580 fail. Like when you go into government, you're not going to be like, I'm going to ace it. I'm
00:51:32.740 gonna stick the landing everyone's gonna like cheer me there's gonna be a standing ovation like
00:51:37.500 you just know there will just be people disappointed yep so i hope they like totally
00:51:43.400 stick the landing on pit crew but i think you know even if they get it half right what a different
00:51:48.420 vision for like how technology can sort of benefit society so those kinds of things like
00:51:54.240 in the midst of everything that people are trying experiments experiments with ai policy on the state
00:51:59.640 level. And places like New York and Illinois and Colorado also make me hopeful. And I've just had
00:52:07.660 a beach vacation with my 11 and 12-year-old great nieces who giggle about everything. Everything is
00:52:13.480 joy and happiness and bubbles. And that gives me hope as well. Well, I can't think of a better
00:52:19.820 place to stop than there. So, Alondra, thank you. That's such a great answer. And it's been such a
00:52:26.000 pleasure having you on the show. Thank you. Thank you, Adam. So good to see you and so great to be
00:52:31.020 in conversation. Thanks again to this week's guest, Alondra Nelson. Next week, we have Lucien
00:52:38.140 Wolkowicz and Erika Nesvold, and I'll be talking with them about space colonization. Bad idea.
00:52:47.080 None of us like it, but why? And what's the alternative? I mean, one of the alternatives,
00:52:53.200 I suppose, is doing nothing.
00:52:55.240 But yeah, there's all sorts of good stuff
00:52:57.180 in next week's episode,
00:52:58.320 including one of my favorite phrases ever,
00:53:02.780 a miscalibrated bummer meter.
00:53:05.400 So see you then.
00:53:06.980 To submit questions for future guests
00:53:09.880 and to suggest other guests
00:53:11.380 and to see more pictures of Babka,
00:53:14.500 join the conversation on Patreon.
00:53:16.500 You can also find us on YouTube,
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00:53:20.640 on the web and on Blue Sky
00:53:22.640 at DreamingAgainstTheMachine.com
00:53:24.900 or just find us wherever you get your podcasts.
00:53:28.360 Dreaming Against the Machine
00:53:29.380 is a proud member of Multitude Productions.
00:53:32.460 Our executive producer is Nick Carissimi.
00:53:35.180 Our theme music is by Jared Emerson Johnson.
00:53:38.200 Our show logo is by Nick James.
00:53:40.940 And our fearless leader is Babka,
00:53:43.020 the greatest cat in the observable universe.
00:53:45.780 I'm Adam Becker, and I'll see you next week.
00:53:52.640 Thank you.