Dreaming Against the Machine - May 12, 2026


Episode 5: Metaphors for AI, with Shannon Vallor

Topics
Episode 4: Reactionary Futurism, with Dave Karpf Episode 6: Mythology, with Moiya McTier

Episode Stats


Length

1 hour and 1 minute

Words per minute

158.98

Word count

9,728

Sentence count

523

Harmful content

Misogyny

1

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.
00:00:06.220 I'm still not used to seeing strangers online talking about my work. You know, I'm just this
00:00:11.820 guy. But when I see someone who I've heard of talking about my work, that's always a nice
00:00:17.520 surprise and a kind of thrill. And that's how I encountered this week's guest, Shannon Valor,
00:00:23.180 a philosopher of AI and author of the book, The AI Mirror. I was familiar with her work,
00:00:30.340 but I didn't know her. And then one day I logged on to Blue Sky and was surprised to see her there
00:00:36.240 talking about my book, More Everything Forever. And I sent her a message and decided that it'd
00:00:44.560 be a good idea to have her on the show. But she's the first guest that we've ever had that I'd never
00:00:49.420 even spoken with until we talked on the show, and I really wasn't sure how it would go,
00:00:54.120 but we had a blast. She's thoughtful and engaging and funny, and I think you're going to enjoy
00:01:00.140 it. So let's get to it.
00:01:06.320 Shannon, welcome to Dreaming Against the Machine.
00:01:09.720 Thanks for having me. Really excited for the conversation.
00:01:12.420 Shannon, why don't you introduce yourself? I don't have your title right in front of
00:01:15.640 me. I know who you are, but I don't think I could rattle off your title from memory.
00:01:19.420 It's kind of a mouthful. So I'm the Bailey Gifford Chair in the Ethics of Data and Artificial
00:01:25.360 Intelligence at the University of Edinburgh. So I am a philosopher by training, so I'm appointed
00:01:32.080 in the philosophy department, but I work in an interdisciplinary institute called the Edinburgh
00:01:37.160 Futures Institute, where I work with folks in philosophy, law, computer science, social sciences,
00:01:43.180 looking at a range of issues around ethics and technology.
00:01:49.340 And I co-direct a center there focused on these kinds of questions
00:01:52.860 called the Center for Technomoral Futures.
00:01:55.420 You also wrote a book, The AI Mirror.
00:01:57.820 Yep.
00:01:58.420 So my first book in 2016 was called Technology and the Virtues,
00:02:03.840 A Philosophical Guide to a Future Worth Wanting.
00:02:07.220 And then in 2024, I wrote a book that was focused really on AI
00:02:12.240 and the generative AI wave that was just breaking.
00:02:15.920 And that book's called The AI Mirror,
00:02:18.380 How to Reclaim Our Humanity in an Age of Machine Thinking.
00:02:22.860 And the title's a little bit of a trick
00:02:24.880 because I don't think that machines actually think,
00:02:28.740 but it's about also the ways that AI
00:02:32.500 and the ways that we think about it
00:02:35.520 and the ways it's marketed to us
00:02:37.200 encourage us to develop more machine-like ways of thinking ourselves.
00:02:44.000 Say a little more about that. I have to admit very sheepishly, I know about your book,
00:02:48.820 but I haven't read your book. I want to read your book.
00:02:51.880 Great. I hope you do.
00:02:52.860 Or rather, a more recent book.
00:02:54.640 Yeah. I never judge anyone for not having read my work because I have a stack of books,
00:02:59.860 including by friends, that I have yet to get to. So there's a lot out there.
00:03:04.060 Yeah, exactly. Yeah. No, I feel like there are people out in the world who do judge their colleagues and friends for not reading their books. And I don't like those people and I don't want to be one of those people.
00:03:16.120 Yeah, that's not cool. Not cool, man.
00:03:18.240 Yeah, yeah, yeah, yeah. Exactly.
00:03:19.460 So yeah, the AI mirror grew out of some lectures I started doing all the way back in 2019, where I was trying to explain to lay audiences. This was back in Silicon Valley, where I was working for almost 20 years before I came to Scotland.
00:03:33.060 And I was speaking to a lot of audiences that were kind of steeped in Silicon Valley culture and the assumptions about artificial intelligence that we've been carrying with us since the start of the field, you know, 75 years ago.
00:03:50.020 And a lot of those assumptions and a lot of that culture reinforces metaphors for AI that are really unhelpful.
00:03:57.920 The most influential, of course, and seemingly obvious one is the metaphor of a mind.
00:04:03.940 But what I'm arguing in the book is that that's actually a pretty terrible metaphor for understanding what artificial intelligence as a real commercial product in the world, not as an idea or a trope in science fiction.
00:04:18.040 But the idea that these are machine minds is actually deeply misleading.
00:04:21.020 And so I started looking for other metaphors to describe how to understand these technologies.
00:04:28.960 And back in 2019, I was working with several metaphors at once.
00:04:33.020 So one of my metaphors was the idea of AI as a prosthetic, something that can kind of extend human capabilities, but not replace the person.
00:04:41.900 Another was the idea of AI as an accelerant.
00:04:45.800 So my slides had an image of a gasoline can.
00:04:48.560 The idea is that whatever you add AI to, you're likely to accelerate the dynamics that are already there, which means, for example, if you add this kind of AI to a world that has already a lot of racial or gender bias, you're going to accelerate that.
00:05:04.200 If you add this kind of AI to a world with a lot of economic and political inequality, you're probably going to accelerate that.
00:05:10.880 And the third metaphor that I had was the idea of AI as a mirror, that it doesn't actually have the properties of a mind. It's rather a reflection of data extracted from our minds. And it's really important then to understand the distinction between the reflection and the thing it reflects.
00:05:32.260 So what I decided in 2024 was to focus the book on that metaphor alone, because that turned out to be the one that resonated with audiences most and helped them really understand these technologies in a way that countered a lot of the misleading narratives from AI companies in particular.
00:05:51.100 No, that makes sense.
00:05:51.760 And so the idea is also that mirrors aren't always faithful. They can be distorted. They can magnify certain things and occlude other things. So I drew on a lot of different optical properties of mirrors to try to tell stories about AI, including, for example, the idea that mirrors collect light that has already, in a sense, been emitted. And so they reflect the past, literally.
00:06:18.160 That's why our mirrors on giant telescopes in space collect light from the early beginnings of the universe, right?
00:06:25.880 Because the light has to travel so far to get to the mirror surface.
00:06:28.940 Well, there's an interesting fact about AI mirrors as well, which is that they only reflect the data that we've already generated.
00:06:35.900 And they reflect the patterns in that data that are most common historically.
00:06:39.320 So they tend actually to bring the past forward and present it as the future, which is really problematic when you actually need to grow and change and do things differently.
00:06:49.220 Oh, I love this.
00:06:50.540 I already knew I needed to read your book, but I really need to read your book.
00:06:54.540 Oh, good. I sold you.
00:06:55.360 And I feel – no, I feel a little embarrassed that I'm interviewing you before I read your book.
00:07:01.380 We're going to have to bring you back after I read it.
00:07:03.980 Oh, that'd be fun.
00:07:05.060 Yeah, no, that would be fun.
00:07:06.460 But I love this.
00:07:07.280 I love this for so many reasons, right?
00:07:09.120 One of the reasons I love this is I'm a cosmologist by training.
00:07:13.560 Oh, perfect.
00:07:14.260 That's right.
00:07:15.180 I forgot about that.
00:07:16.460 Yeah, exactly.
00:07:17.320 So, you know, mirrors reflecting the past.
00:07:19.360 Absolutely.
00:07:19.980 Of course, that's what they do.
00:07:22.000 And, of course, mirrors have, like, weird optical properties and can distort things, not just fun house mirrors, but, you know, magnifying and, you know, convex and concave mirrors.
00:07:34.220 But also just from the perspective of someone who still lives in the San Francisco Bay Area, and at some point I'm going to want to know when and how you left, but I see this everywhere here.
00:07:53.840 It is the future, and I am just seeing it reflect back at people what they already believe.
00:08:01.220 And I'm not just talking about the AI psychosis stuff.
00:08:04.680 Here's something that, yeah, you'll know what I'm talking about, but people who don't live here in the Bay might not are going to have to explain it a little bit.
00:08:12.340 The billboards along 101.
00:08:14.720 Oh, God.
00:08:15.020 Yeah, between the Bay Bridge and SFO.
00:08:17.540 Yes.
00:08:18.380 Blotting out the sun.
00:08:19.780 Blotting out the sun.
00:08:20.700 Yeah, absolutely.
00:08:21.320 So those billboards have always been – well, not always, but, like, you know, for the past, oh, 15 years at least, those billboards have been primarily aimed at, like, startup tech VC culture, right, venture capital stuff.
00:08:39.680 They have not been billboards – primarily not been billboards for consumer products of any kind.
00:08:45.860 It's mostly been, you know, what they call, what's that term, B2B, business-to-business stuff.
00:08:53.760 And it's really not even been about trying to get anyone to buy what's on the billboard.
00:08:59.960 It's mostly been prestige stuff, right?
00:09:02.700 It's been like, we are a startup successful enough that we can afford a billboard on 101.
00:09:08.140 Yeah.
00:09:08.460 I think it's just another way to try to juice the stock.
00:09:11.700 Exactly, yeah.
00:09:12.540 And it's always been crazy and it's always been stuff that's like nigh incomprehensible if you don't learn more about the tech industry than you ever really wanted to know.
00:09:23.340 And then the AI bubble arrived and all of that just got supercharged.
00:09:31.040 And so now every single one of those billboards essentially is about some kind of AI product, but it just reflects the past.
00:09:38.400 It's just the past, you know, magnified and distorted.
00:09:41.760 And sold back to us as the future, which, you know, I mean, the past is really useful. And this is, you know, this is something that I think is easy to lose sight of for me in particular, as I get more and more frustrated about kind of the abuses of AI is that in my core, still believe in a world where AI is a good part of it.
00:10:07.440 And there's so much that we can learn from our data.
00:10:12.840 There's so much we can learn from not just our data, because actually, you know, the
00:10:17.360 book is really about models that are trained on us.
00:10:20.920 But what's really happening is we're now seeing so much investment in large language
00:10:25.560 models and their kin that we're under-investing in the narrow applications of machine learning
00:10:31.520 that are trained on other things.
00:10:33.580 Data about what's going on with the climate.
00:10:36.120 I mean, we've got some of that going on, sure. But data from all kinds of systems that we can
00:10:43.440 learn more about by using advanced machine learning to solve real problems. So I don't
00:10:49.180 want to discount the fact that the past is something that has stories to tell us that are
00:10:54.860 worth hearing. But when you repackage it as knowledge, when you repackage it as wisdom,
00:11:02.680 when we package it as the future, you're really selling short human capabilities for decision
00:11:10.020 making, for making social progress. I'm working on a new book, and that's really the thrust of
00:11:14.540 that one, is that this is in some ways kind of rolling back a lot of the potential that humans
00:11:21.980 have invested in themselves and each other and in our institutions through various kind of
00:11:28.840 movements to expand education and valorize human learning and innovation and creativity.
00:11:37.680 And so I was really interested in reading your book because you talk a lot about,
00:11:42.620 among other things, the kind of dark enlightenment movement that has developed out of this culture.
00:11:48.520 And, you know, they're just being really open about it. They are trying to roll back
00:11:54.580 a lot of the elements of enlightenment ideals that we rightly value. Not that the enlightenment
00:12:03.240 in Europe wasn't a deeply flawed and compromised and incomplete project, but the idea that these
00:12:11.680 technologies, in a sense, remove the necessity for humans to keep learning, keep thinking,
00:12:19.140 keep coming up with new and better ideas because the AI is doing it when all it's doing it is
00:12:24.780 giving us what we already know. One of the other things I love about the way that you're phrasing
00:12:29.120 this and the way that you're talking about this is exactly that history is important, right? But
00:12:37.620 AI is reflecting history back at people who don't actually know or care about history and an
00:12:48.520 industry that likes to pretend that it doesn't have history, and so they're ignorant of history.
00:12:54.040 And, you know, what's the old saying say? That people who are, you know, ignorant of history, 0.91
00:12:59.780 nothing bad happens to them, and everything is awesome.
00:13:02.340 That's right. Oh, God, yeah. I mean, I could go on about this for ages. I won't, but I was
00:13:08.840 recently at an academic workshop in Vienna that made me so happy, because it was on the history
00:13:16.300 and philosophy of artificial intelligence. And the organizer, Tim Crane, had invited as
00:13:22.620 keynote speakers, three philosophers and three historians of computing. And I was just so happy
00:13:30.960 that whole week because I feel like history of computing, of technology regulation,
00:13:38.820 of knowledge production is so much of the missing wisdom that compromises our ability in this
00:13:48.760 century to make good decisions, to make decisions that really are wise and will lead us into
00:13:55.040 reasonably desirable and sustainable futures versus leading us off a cliff, which is what a
00:14:03.240 lot of the policies that we're currently doubling down on are doing because they are, they've memory
00:14:08.220 hold the entire 20th century you know they're oh we've never i had a guy in a debate try to tell me
00:14:14.660 that we didn't regulate the railroads and his argument was like what he wasn't my debate um
00:14:20.540 opponent by the way he was a guy in the audience in the middle of the debate a young man in a very
00:14:26.540 expensive suit but obviously uh deeply failed by his teachers because yeah he stood up with great
00:14:33.620 confidence and said, you know, you've been arguing for the necessity of regulation, better
00:14:38.720 regulation and better governance of these technologies. But I think that's just obviously
00:14:45.960 all wrong, because imagine what would have happened if we had regulated the railroads.
00:14:50.500 It would have, you know, would have killed innovation and its cradle and all the economic
00:14:54.820 growth that we got from the railroads. And I'm rarely speechless. Yeah. And I literally had to
00:15:00.460 like just take a beat yep and then i said do you think we didn't regulate the railroads yeah and
00:15:08.540 you know he just sort of blinked at me and i had to go through the fact you know you couldn't run
00:15:12.900 a railroad for 10 miles without regulation um much less get it to kind of you know link up
00:15:20.300 yeah with a broader transportation ecosystem and anyway and it was funny because the audience when
00:15:26.040 he was speaking, and the audience was probably a lot older than he was, when he was speaking and
00:15:31.020 saying, you know, what would have happened if we'd regulated the railroads? We would have stifled
00:15:33.960 innovation, blah, blah, blah. The audience starts nodding their heads. And I'm looking at these,
00:15:38.880 you know, these old heads. I'm like, you know better. So then I point out the extensive
00:15:45.220 regulation that supported the railroad industry and allowed it to grow and allowed it to generate 0.94
00:15:52.000 um uh all of the uh uh economic and other uh benefits of mass transit and then the the gray
00:16:01.200 haired heads start nodding again as i'm speaking like they're remembering oh yeah that happened
00:16:06.260 so yeah i think history is really a missing a missing piece and we're being i think deliberately
00:16:11.820 fed a kind of commercially designed amnesia yeah in thinking that these technologies
00:16:20.860 really capture everything that we have learned.
00:16:24.540 Because, of course, even though we say
00:16:25.820 they're trained on the past, and it's true,
00:16:28.200 they're trained on a very partial part of the past.
00:16:30.720 Yep.
00:16:31.620 And there's so much left out
00:16:32.900 and so much that was never digitized
00:16:34.780 and so many people whose voices and knowledge
00:16:37.620 was never seen as valuable enough
00:16:40.560 to save and archive, much less digitize.
00:16:44.680 And then on top of that,
00:16:45.780 half of it is Reddit posts from the last 15 years.
00:16:49.120 And I would not trust your average, you know, Reddit forum to be an authority on whether we regulated the railroads.
00:16:57.140 Although, actually, some of those forums are actually pretty good.
00:17:01.100 Well, yeah, it depends on which ones, right?
00:17:03.500 But, like, oh, God.
00:17:05.820 No, it is.
00:17:06.900 It's a sanitized version of the past.
00:17:08.500 And in particular, it's this libertarian fantasia of the past, right?
00:17:12.360 This idea that, first of all, that the New Deal did nothing good, and that government regulation was invented either by FDR or by TR, right?
00:17:24.460 One of the Roosevelt's did it, right?
00:17:27.020 And that, you know, before we had income tax, everything was awesome. 0.90
00:17:32.380 Yeah. And yeah, I just I mean, you you know this already because you read my book, but like one of the sort of running themes of my book that I never explicitly stated is like libertarianism just doesn't work and doesn't really make any sense.
00:17:51.300 and, you know, runs on an interlocking set of denials
00:17:57.920 about science, history, politics.
00:18:04.000 And yet you have this hyper-libertarian ethos
00:18:12.320 that is baked into the culture of Silicon Valley
00:18:16.140 from the start of the internet, right?
00:18:18.500 Yeah, yeah, yeah.
00:18:19.400 what this so-called Californian ideology. And then it gets reflected back to us by these AIs 0.99
00:18:25.880 that are supposed to be oracles that, uh, that, you know, tell us what, well, not oracles that
00:18:32.720 tell us the future, but representatives of the future, like, uh, you know, instantiations of
00:18:39.040 the future that are here now. That's right. Yeah. Yeah. And it's funny too, because, uh,
00:18:44.400 the kind of libertarian um voices that are out there almost none of them are actually consistent
00:18:51.500 anyway so i mean libertarianism if you were consistent about it would fail but also uh i
00:18:58.040 don't know how many times you know libertarians have suddenly gone weirdly quiet when it's time
00:19:03.400 for bailouts uh by the government right of uh a big uh of big industry or or banks or when it's
00:19:11.540 time to silence those who challenge these kinds of values in universities. I mean, it's just
00:19:20.400 amazing to see, for example, how, and not all of these were self-professed libertarians, but
00:19:26.000 the whole sort of campus free speech from the right movement in the United States.
00:19:31.860 Oh, we have to have viewpoint diversity. We have to ensure that no one in academia is punished
00:19:40.320 for what they write or or what they say and then suddenly the trump administration comes in
00:19:47.400 and rips the guts out of free speech uh by silencing anyone they can who is directly or
00:19:57.260 indirectly receiving federal funds and suddenly all the free speech advocates on the right and
00:20:03.180 all the libertarians just go so quiet yeah or they say you know the left did it to themselves
00:20:09.120 It's because you people were too loud about, you know, thinking that trans people are are human beings that that this happened to you.
00:20:18.100 So, yeah, I have no patience for that.
00:20:20.800 But again, you know, I care about history and try to remember what things happened and then learn about things that happened before I was born.
00:20:30.480 And the people in this industry don't.
00:20:34.560 um and libertarians i mean this is i agree with everything that you just said and it's also making
00:20:41.660 me think about one of the real surprises that i ran into when writing the book i probably should
00:20:51.100 have known this but somehow didn't uh i was confused that i kept running into libertarians
00:21:00.280 talking about pseudoscientific like debunked quote-unquote race science and at first I was
00:21:08.920 like okay this person is a libertarian and they're a racist and then this person's a libertarian and
00:21:13.360 also a racist and it kept coming up I didn't understand what the connection was but I could
00:21:18.640 tell that there was one and so I went and had a conversation with a friend who was a former
00:21:22.820 libertarian and and asked her you know hey what what's going on here there has to be a story
00:21:30.140 and she connected dots that i i really in retrospect were very obvious but you know of
00:21:36.500 course it takes someone steeped in that community who knew it well to like hit me over the head with
00:21:41.340 this but um and also she's very smart to be clear but like she said libertarians need to believe
00:21:48.880 that there's a level playing field.
00:21:51.960 And if you have to believe that there's a level playing field,
00:21:55.920 then you have to believe that systematic and systemic inequalities
00:22:00.500 are caused by something that is internal to the people
00:22:08.120 that are on the playing field.
00:22:10.320 Because you also have to believe that, you know,
00:22:12.640 like there's no such thing as society
00:22:14.160 and that everything is an internal thing
00:22:17.320 and we don't need each other.
00:22:18.460 And, you know, every man is an island. And so if you believe all of that, then you end up having to believe that certain races of people are just inferior to others. Because otherwise, why is it that white people make more money than black people in the U.S. and so on and so forth?
00:22:42.820 and that was a very unpleasant thing to understand yeah yeah no and and that's exactly i mean that
00:22:52.380 diagnosis is spot on um yeah i remember when i started teaching um in the late 90s early o's
00:23:01.080 even then every once in a while you know you'd get you'd get a bright student who'd come into
00:23:05.000 your office and they were all excited because someone had um given them a book by ann rand
00:23:10.260 And they wanted to talk about it. Yeah. And you just have to kind of not not judge, not roll your eyes, but talk them through what they think this means.
00:23:21.460 And it was always really interesting to realize the kind of articles of faith that you have to cling to in order for this to be, you know, a remotely plausible or attractive worldview.
00:23:34.520 too. And, you know, a lot of a lot of the young people that were initially attracted to these
00:23:41.640 ideas, you know, I think for some of them, initially, it really was this idea that I want
00:23:47.460 to believe in a world that has a level playing field, because I don't know how to cope with a
00:23:52.560 world that has always been unjust. I don't know how to cope with a world that has systemic
00:23:58.160 problems when I feel like I'm an individual that can only do a little bit to change the world.
00:24:09.960 So sometimes it was this idea that there was something comforting about this illusion.
00:24:14.320 But other times you could see that there were people for whom they really needed to believe
00:24:20.080 that their own advantages were deserved.
00:24:22.940 You know, particularly when I was teaching in institutions where a disproportionate number of the students came from very privileged economic backgrounds, they didn't want to question those advantages and they wanted to believe that they stood on a level playing field and had never been given a leg up, which was always sad to me because they got into college.
00:24:51.240 There's so much opportunity. You know, you can just let that go and focus on what you're actually doing now. No one's asking you to feel guilty about having gotten into an expensive university, right?
00:25:05.500 But they really had this kind of fear of not having earned their status and needing a worldview that would tell them that every bit of success or advantage they had was something that they could claim.
00:25:23.240 Yes, I have seen this and I completely agree, but I also can't resist quoting one of my favorite sort of internet quotes from a guy named John Rogers.
00:25:36.220 There are two novels that can change a bookish 14-year-old's life, The Lord of the Rings and Atlas Shrugged. One is a childish fantasy that often engenders a lifelong obsession with its unbelievable heroes, leading to an emotionally stunted, socially crippled adulthood, unable to deal with the real world. The other, of course, involves orcs.
00:25:58.280 That's a great one. I really do love that one. Yeah, I have another one that I have a saved image of. It's a cartoon panel and it's like a 50s styled housewife mom feeding her kid at the table who's some like toe-headed, you know, 10-year-old boy or something.
00:26:19.680 And he says something like, Mom, I want to be a libertarian when I grow up.
00:26:26.680 And the next panel is her saying, Well, honey, you can't do both.
00:26:33.700 Oh, God.
00:26:36.160 But yeah, no, this is this is clearly what this podcast does now, Dreaming Against the Machine, where we just rag on libertarians all episode long.
00:26:44.200 Unfortunately, we still live in capitalism, and that means we need to talk about our partners
00:26:50.120 and sponsors. But fortunately, our partners and sponsors are great. And if you want to support
00:26:55.300 Dreaming Against the Machine directly, you can join us on Patreon, where $5 a month gives you
00:27:00.760 the chance to ask questions of upcoming guests and a dedicated stream of cat pictures.
00:27:06.280 We love our patrons, and we also love being a part of the Multitude Collective at
00:27:10.400 multitudeshows.com. Multitude is a podcast company made up of passionate people creating
00:27:15.200 shows you can count on. Shows like Wow If True. Wow If True is your one-stop internet culture
00:27:21.440 shop explaining how what's happening online shapes the real world. The hosts, tech culture
00:27:27.060 journalist Amanda Silberling and science fiction author slash attorney Isabel J. Kim Esquire are
00:27:33.220 internet experts and real-life besties asking and answering your burning questions about the
00:27:38.440 internet. Why are the edgelord tech bros literally everywhere, even in the White House? Are the AI
00:27:44.140 overlords coming to take our jobs? And if so, why are these AIs so awful at playing Pokemon? 1.00
00:27:50.200 It's the only podcast that will mention Neopets and Horizontal Mergers in the same episode. 0.58
00:27:55.520 So check out Wow If True wherever on the internet you find your podcasts.
00:27:59.580 New episodes every other Wednesday. And here's a word from our sponsors.
00:28:03.300 One of this week's sponsors is Shaker & Spoon, a monthly cocktail and mocktail subscription.
00:28:09.180 Full disclosure, they sent me a free box this month, and I'm excited to try it on a night off soon.
00:28:14.240 Each box includes three original recipes from reward-winning bartenders,
00:28:18.480 with enough ingredients to make four of each of those drinks for at least 12 drinks in total.
00:28:23.240 And each box includes everything you need to make the drink except for the alcohol,
00:28:27.840 and they're built around one spirit per box,
00:28:29.980 so you really just need one bottle of something that you probably already have on hand if you
00:28:34.440 drink. And if you don't drink, every box includes zero-proof options for every recipe,
00:28:39.760 and some of the drinks are designed to be completely spirit-free from the start.
00:28:43.980 The boxes come with recipe cards that include guidance on mixing techniques and glossary of
00:28:49.320 terms that teach you how to shake, stir, build, and garnish these unusual cocktails with eclectic
00:28:54.980 ingredients. And they also include everything else that you need to try out these drinks,
00:28:59.080 like custom syrups, bitters, extracts, garnishes, and aromatics, and so you can try the drinks
00:29:05.800 without going off and buying full bottles of niche ingredients that you'll never use
00:29:09.540 again.
00:29:10.220 It's a great idea for date nights or hosting a party or bringing a gift to someone else's
00:29:16.100 party, and you can always skip or swap boxes or even just buy individual kits or ingredients
00:29:22.420 without subscribing, so you can try this stuff out at their website, shakerandspoon.com.
00:29:28.360 Use code DATM for 10% off your purchase.
00:29:34.260 The other thing that I was thinking when you were talking about these experiences with these students whose lives were changed by Atlas Shrugged and not Lord of the Rings, or, you know, maybe both, like Peter Thiel.
00:29:46.460 But, and we do really need to do an episode at some point about how bad Peter Thiel is at reading Lord of the Rings.
00:29:55.520 Oh, God, yeah.
00:29:56.460 Yeah, I know. It's everywhere. But, um, but, um, and the Bible. Oh yeah. And everything like just bad at reading. Um, and also not just Teal, but right. And then suddenly we're, yeah, you know, back at all the stuff I was talking about in my book. But, but I was thinking about conspiracy theories, right? There's a way in which this is reminding me of the reasons that people get really into conspiracy theories, right?
00:30:26.180 They want to have a picture of the world that, A, is, like, less scary and more ordered than the, like, large, chaotic, uncontrolled world that we live in.
00:30:41.920 And, B, they want this theory to also, like, reinforce things that they already wanted to believe.
00:30:49.340 Yeah.
00:30:49.540 And in that sense, this kind of libertarianism looks kind of like a conspiracy theory.
00:30:56.180 Yeah, I mean, I think it exists on a spectrum. No one is immune, right, from the desire to have the world conform to your expectations, to your values, to your hopes, and for it to make sense.
00:31:13.260 And yeah, the world in a lot of ways doesn't make sense and has never made sense.
00:31:17.500 And the whole field of philosophy exists because it doesn't make sense to people.
00:31:22.500 And so they spend their whole lives trying to, you know, trying to wrestle with that.
00:31:28.280 So I am, as a philosopher, deeply sympathetic to this compulsion to make meaning, to tell a rational story, to create this kind of ordered wrapper around the world.
00:31:40.820 But where my patience ends is when it starts hurting people.
00:31:44.140 Yeah.
00:31:44.740 And we're long past that point with libertarianism.
00:31:47.380 Yes, that's certainly true.
00:31:49.020 And I'm going to bring it back to AI.
00:31:50.380 You were saying that the primary analogy that people use for AI is a mind or a brain.
00:31:58.440 And of course, it goes in the other direction as well, right?
00:32:01.040 The primary analogy that people use for the brain or the mind is a computer.
00:32:07.160 you know, that's not anything new comparing the brain or the mind to something mechanical,
00:32:14.220 especially like the most complicated or influential machine around at the time is something that
00:32:18.720 humans have been doing for centuries. But I, I wonder about why people are resistant
00:32:28.080 to having that analogy pushed back against, right? Like I, I push back against this idea
00:32:36.280 in my book. I've seen other people do it. I could tell stories of the genre. I went to a party in
00:32:42.000 San Francisco and someone said a thing, which, you know, is always something unhinged, right?
00:32:48.960 Like I went to a party in San Francisco and I said that large language models and deep learning
00:32:57.040 networks are really nothing like the human mind and got the response, no, they're just like it.
00:33:02.060 they they really want to learn yeah which is like and and then i pushed back on it and he just
00:33:08.280 repeated it word for word and like okay we're done i die you're not hearing what i'm saying
00:33:13.220 but like this is there's there's something that um you can see happen in particularly in computer
00:33:21.520 science where there is a desire again to kind of have this ordered um framework and a projection
00:33:30.080 of that onto everything that exists.
00:33:33.000 And it's not as if there are no similarities at all, right?
00:33:38.320 But that allows people to take those rather thin similarities and then kind of blow them
00:33:42.940 up into an equation of the two things.
00:33:46.160 I have been in so many intensive workshops.
00:33:50.940 I was just at one last month at the Santa Fe Institute, where I think you've spent time
00:33:57.040 before.
00:33:57.760 I was about to say, I love the Santa Fe Institute.
00:33:59.180 Yeah, we had a whole week there talking about intelligence and what it is.
00:34:05.040 Did you see Melanie Mitchell?
00:34:06.780 Yes, she organized the workshop.
00:34:08.720 Oh, man.
00:34:09.700 Yeah.
00:34:09.960 I should drop her an email.
00:34:11.720 No, she's the best.
00:34:12.620 She's amazing, yeah.
00:34:13.920 But the workshop was full of not just philosophers and computer scientists, but neuroscientists, cognitive scientists, psychologists,
00:34:24.400 People who work on comparative studies of intelligence with humans and other animals, right? And once you get that full complement of scientific expertise in the room, it is so obvious that the brain is a computer only in this very loose metaphorical constructed sense and that the brain is its own very messy, weird kind of thing.
00:34:49.920 It is a kludgy hodgepodge of different systems that evolved on top of each other and interacted with a complex changing environment to produce these kind of weird composites of modular systems talking to each other, integrating.
00:35:06.280 And no one would build a computer that looks like that, right?
00:35:09.880 Because no one built the brain.
00:35:11.820 It's not a designed system.
00:35:13.640 And in some ways, it's simpler and more elegant and more efficient than any designed computer.
00:35:21.220 And in other ways, it's more chaotic and kind of senseless in its design than you could imagine.
00:35:27.780 And so just understanding the brain as this marvelous, weird, freaky thing that evolution on this planet produced really helps you kind of just break that illusion that, oh, it's a computer.
00:35:40.700 um now there's of course what a lot of people do is they then try to salvage the uh the idea
00:35:52.200 by defining computation so loosely that it can describe literally anything in the universe
00:35:59.240 and so that's the other strategy that philosophers and and computationists will sometimes do is
00:36:04.180 they'll say well the brain isn't a digital computer but it's a computer in the sense you
00:36:09.600 know, that it processes information. And you're just like, come on, right? And then they have,
00:36:15.200 of course, a definition of information that is so comprehensive that it describes every object
00:36:20.740 in the universe as doing computation. So it is really, I think, caused more confusion
00:36:29.120 about what the brain is, what intelligence is, what minds are, than any other idea in the last
00:36:36.400 100 years. And I'll put in a plug for my colleague at the University of Edinburgh, Masvita Chiramuta,
00:36:42.380 who wrote a book called The Brain Abstracted, which really looks at this from the standpoint
00:36:46.900 of the philosophy of neuroscience and understanding the ways in which the computational model is just
00:36:53.560 a very limited abstraction that helps us model certain features of what the brain is doing in
00:37:00.520 a way that's practically useful for science, but becomes completely obscuring of reality
00:37:07.600 when we take it as a literal theory of what the brain is.
00:37:11.640 No, this is, you're reminding me of a book that I'm going to plug, Matthew Cobb's book,
00:37:15.820 The Idea of the Brain.
00:37:17.280 I haven't read it, but I've heard good things.
00:37:19.260 Oh, yeah.
00:37:19.800 No, it's really good.
00:37:21.680 And there's a line in there that I actually, I liked so much that I quoted it in my book
00:37:26.280 because I just, I couldn't find a better way to express it.
00:37:30.280 He says something like, the brain is more like a computer than it is like a clock.
00:37:38.320 Right.
00:37:39.160 But really, it's not like either of those things because computers and clocks were designed.
00:37:44.060 And the brain is something that evolved.
00:37:46.140 And I think the idea also that the brain is a computer is attractive to people who want to deny both the contribution of the environment to intelligence and the contribution of the parts of the body that aren't the brain.
00:38:03.180 So the brain, of course, is part of an entire physical system situated in a physical environment that makes a tremendous amount of difference, both to its development and its actual functioning.
00:38:14.880 And that was, again, the nice thing about the Santa Fe Institute workshop is we spent so much time talking about all the ways that, you know, what the brain is doing depends on so many things that are not the brain and is coupled with things that are not the brain.
00:38:26.040 And there was debate about this. There were people who, you know, wanted to argue for a much more kind of brain-centric understanding of intelligence than others in the room.
00:38:41.420 But no one was arguing that somehow you can take everything that represents the intelligent functioning of an animal and, you know, just describe what's inside the skull and that that's going to capture it.
00:38:54.520 But the idea that the brain alone carries all of our capabilities is really attractive if things like digital uploading, right, are fantasies that you cling to.
00:39:08.180 If you've got plans to throw your brain into cryostorage and let it turn into goo there, you've got to believe that the brain is enough and that the brain can be modeled computationally because you're not going to actually put that physical brain anywhere.
00:39:30.140 You're going to somehow try to extract some computational model of it and then have that be the thing that can do everything your brain does, which again, you know, makes this kind of map is not the territory kind of mistake.
00:39:44.880 It's also, it's attractive, you know, believing that everything that you are and all of your intelligence is just your brain is very attractive if you want to ignore particular parts of the environment like everybody else.
00:40:01.280 And you really want to just believe that it's all just you like a libertarian.
00:40:05.760 Exactly.
00:40:06.300 Or, sorry, it's also very attractive if you want to believe that everything is computation and that computer science is the most important thing that there is, which is very attractive if you're a software engineer.
00:40:19.780 That's right. Absolutely.
00:40:21.180 For much of history, philosophers were convinced that our discipline was the kind of thing that the smartest people did and the thing that got to the deepest truths about the world.
00:40:35.000 And we were always fighting with mathematicians and physicists about this, right? Because, of course, the mathematicians had a very different view of this. And it's now just evolved right into it being the computer scientists who believe not only that they are, you know, really good at programming and understanding computation, but that that means that they are good at understanding literally everything else in the universe.
00:41:05.000 So it's partly just this kind of weird hierarchical obsession that has always plagued academia.
00:41:11.800 But now, again, it's spilling over and kind of causing damage outside of academic departments.
00:41:19.840 And that's something that, unfortunately, we can't afford.
00:41:23.920 As a physicist, some of the impetus behind my book was me looking at the software engineers and computer scientists saying such things.
00:41:34.760 and thinking, oh, okay, first of all, you've got physics envy. You keep talking about how much
00:41:41.220 better it would be if we could have a world made of bits rather than atoms. And that feels like a
00:41:46.480 kind of academic professional thing and also feels like you wanting to have a world that is
00:41:53.420 tractable and made by people as opposed to trying to understand a world that people never made.
00:41:58.320 uh but also speaking as a physicist who left academia and who you know has spent a lot of time
00:42:07.140 sort of studying the culture of physics uh you don't want to be like physicists you know physics
00:42:14.920 is great and all but like the arrogance of some physicists i'm not going to say that that all
00:42:22.340 physicists are like this hashtag, not all physicists, but, um, but the arrogance of
00:42:27.560 some physicists in like parachuting into other fields and saying, oh, this is just physics.
00:42:31.280 Physics is everything. Physics is, is all that we do. And like, okay, do, do you know about
00:42:37.480 any other field? I mean, you know, I did, uh, I did an undergrad degree in philosophy and a lot
00:42:46.480 of physicists were like, why are you bothering with philosophy? Like, why aren't you? What about
00:42:51.820 the other fields like physics is not at the bottom of absolutely everything uh but speaking of my
00:42:59.400 book uh or my more recent book in a way i was just alluding to my first book uh what is real
00:43:04.340 available wherever fine books are sold but um but no but speaking of more everything forever um i
00:43:09.820 you know we're we're getting close to the end here and i want to bring it back to why i brought you
00:43:14.060 onto this podcast in the first place which is you went on blue sky and said a bunch of really nice
00:43:19.600 things about my book, which was not enough to, to, you know, have me bring someone on the podcast
00:43:24.720 by itself, though. I love it when people say nice things about my books. Um, but you, you also said
00:43:30.340 that you disagreed with me and that's when I was like, okay, I already know about Shannon, but you
00:43:38.100 know, she likes my book, but she disagrees with me about something. Oh, I got to have her on the
00:43:41.480 podcast. Yeah. So, uh, I think the disagreement is a very soft disagreement. Um, and maybe, 0.93
00:43:47.240 And maybe I'm also, I mean, this is an interesting opportunity to kind of hear your response, because it may be that I am misreading something that wasn't really part of the message of the book.
00:44:02.000 But towards the end of the book, you know, you have this really affecting, actually, a reflection on your own early fascination with technology, with things like space travel and colonization, and this belief that these are the things that actually carry us into the future that we want.
00:44:21.920 Yeah.
00:44:22.540 And that resonated really deeply with me because I had a very similar trajectory myself.
00:44:29.820 I was a giant sci-fi nerd and I, you know, programmed computers as a little kid in my bedroom and just, you know, was I didn't study the philosophy of technology so that I could dismiss the value of technology.
00:44:46.100 I love technology. I always have. And it's always been both a fascination and an affection of mine.
00:44:52.500 But as you sort of see the abuses and distortions of the tech industry and the failings, really, to deliver on the idea that technology is something that brings us comfort, that technology is something that makes the world more livable, that technology is something that makes the future more secure and accessible for more of us, right?
00:45:18.560 that dream that that's what technology does is feels like it's slipping away and i wrote a piece
00:45:24.060 for mit technology review i think in maybe 2015 maybe it was that old i'm not sure it might have
00:45:30.040 been more recent uh that was like we used to get excited about technology what happened and it was
00:45:35.700 really about you know kind of that loss of of love for for tech that can come but here's what i saw
00:45:40.780 in your book that um it felt like maybe you had gone a little further down that road than i have
00:45:45.920 Or that maybe you didn't have quite as much hope anymore that technologies, including technologies associated with space exploration and things like that, but technologies like AI itself, it felt like maybe you were no longer convinced that these have a big role to play in helping humans progress,
00:46:11.240 helping humans live better together, helping humans have a more sort of sustainable and
00:46:17.860 desirable future on this planet. And I'm still clinging to that in a lot of ways.
00:46:23.240 A lot of the criticism of AI that I see, for example, on Blue Sky, even when it's well-founded,
00:46:30.540 at times, tonally, it seems to me to be giving away the game, basically, and saying, 0.98
00:46:36.540 AI is garbage. Tech is not going to save us. And of course it's not going to save us. And I'm 0.94
00:46:43.160 absolutely not one of these kind of techno-solutionist people who thinks that every
00:46:47.960 social problem is a problem for an engineer to solve or a software developer to solve.
00:46:54.920 And it's almost never the case that it's their problem to solve. But I don't want to
00:47:01.680 give away, if you will, the idea that technology is for people and that technology is a power that
00:47:09.320 we have and have always had, that we've had it since we climbed down from the trees,
00:47:13.740 a way of remaking the world to meet one another's needs and our own. And I don't want to surrender
00:47:20.040 that to the Zuckerbergs and the Teals and the Altmans, right? I don't want them to be able to
00:47:26.540 claim that. I want us to keep that for a more kind of egalitarian social and political vision.
00:47:34.540 So I'm curious whether you think you're more cynical than I am about that. And if you are,
00:47:40.580 maybe how we might address that dispute. Oh, man. There's always like a little
00:47:46.700 part of me in the back of my head that wants to give flip answers to absolutely every single
00:47:51.420 question. And, uh, and so the flip answer that's coming to mind is now you're just seeing the fact
00:47:56.820 that like you left the Bay and I'm still stuck here. Um, that's, that's all you were seeing in
00:48:01.980 the book. Yeah. Um, and I am, I am curious about, uh, about like your journey here and then away
00:48:10.180 from here, but we can, we can talk about that later, but it's a good question. It's also striking
00:48:14.760 to me that I've had several people, you know, friendly people, uh, uh, friends, uh, in the
00:48:21.340 sort of AI ethics, you know, tech critical space say things to me like, yeah, I really
00:48:28.340 liked your book, but I was surprised by how easy you went on the tech bros in it at the
00:48:34.840 beginning.
00:48:35.240 But, you know, by the end you really brought the fire and like, yeah, I understand why
00:48:41.080 they're saying that, but I did that because I didn't want to lose my audience straight out of
00:48:46.960 the gate. Sure. I wanted to make it clear that I was giving these people a fair shake and they were
00:48:54.540 just, you know, utterly failing. But, um, I, I don't know that we disagree that much, if at all.
00:49:03.600 I am not, in the pejorative sense of the term, I'm not a Luddite.
00:49:09.040 I think I'm a Luddite maybe in the non-pejorative sense of the term, in that I want to take human power back from the tech industry.
00:49:17.040 Yeah.
00:49:18.500 But I am not, you know, someone who thinks that we have to smash every machine and, like, give up all technology.
00:49:30.680 I don't think that we could even if we wanted to.
00:49:33.600 I also tend to take a fairly expansive view of what the word technology means.
00:49:39.320 There are social technologies, right?
00:49:42.280 You know, like political organizational structures and whatnot.
00:49:47.600 I think ethics is a technology.
00:49:49.900 Yeah, absolutely.
00:49:51.080 And in some ways, it's one of our oldest technologies and also the one that we've worked on, the artist, because it's a really difficult one to get right.
00:49:59.320 Yeah, that's right.
00:49:59.600 I mean, this is one of the—I mean, now I'm going to be preaching to the choir here, but, like, one of the things that gets me when people criticize philosophy, which I heard a lot when I was actually in college and studying philosophy, was, well, but philosophy hasn't produced anything useful.
00:50:20.520 The philosophers have just been studying the same questions over and over for thousands of years.
00:50:25.020 Like, okay, what if that just means the questions are really hard?
00:50:28.160 Yeah.
00:50:28.400 And ethics is really hard.
00:50:30.620 There's a great essay by Bertrand Russell.
00:50:34.680 It's the last essay in The Problems of Philosophy.
00:50:37.300 It's called The Value of Philosophy.
00:50:39.040 And he basically argues that the reason that it appears that philosophy doesn't make any progress is every time philosophers solve a problem or find a path to the solution for the problem, it breaks off from philosophy and just becomes a science, right?
00:50:54.600 Physicists used to be called natural philosophers, right?
00:50:57.260 Yes, indeed.
00:50:58.160 You all used to be philosophers, and in some ways what you're doing is still part of the kind of philosophical impulse.
00:51:04.580 It's just you're able to figure out the kind of methods that would actually deliver progress in that field.
00:51:10.920 And what's left in philosophy is all the hardest stuff, like ethics.
00:51:16.260 Yeah, and I also think that, you know, the boundaries between the disciplines are, you know, something that we make up, right?
00:51:24.560 Oh, absolutely.
00:51:24.980 Really, there's just this one broad human endeavor that we are all engaged in. And so in that sense, you also can't cut off technology because that's part of it, too. And it's, you know, part of the human experience. Humans, you know, evolve the way that we did in part because we learned how to deal with fire and work together. And these are technologies.
00:51:47.040 And yet, you know, libertarians still think that you can do everything by yourself. Anyway, I will never get tired of getting a dig in at them. But I think it's the techno solutionism. You know, one of the things I'm sort of embarrassed to admit is that I actually hadn't encountered the term techno solutionism until after I was done with the book.
00:52:11.240 There are all sorts of scholars in this field whose work I was, you know, kind of ignorant of, not because I didn't do research. I think I did a lot of research, but there's just there's so much.
00:52:25.120 And in my heart, I think I think everyone who's like self-aware and doing doing like work in the world suffers from some imposter syndrome because otherwise, you know, you're you're like, I don't know, some kind of sociopath.
00:52:40.920 But yeah, insufferable is probably a nicer way to put it.
00:52:44.780 But yes, somewhere on the spectrum from insufferable to sociopath.
00:52:48.300 Yes, exactly.
00:52:49.140 Yes.
00:52:49.440 Whatever that spectrum is called.
00:52:50.620 Yeah. I, you know, at the end of the day, feel like I always feel like I'm a physicist cosplaying as a historian, anthropologist, sociologist, journalist, what have you.
00:53:05.020 I mean, in a way, the flip answer I wanted to give is not really a joke. The culture here in the Bay is so steeped in techno solutionism that that they can't see it.
00:53:19.180 it's the water that they swim in, right? It's the old joke of like the fish that doesn't know
00:53:23.900 what water is. And so to push back on it effectively, I felt like I had to push as
00:53:30.420 hard as I did in the book. I do say at the end of the book, you know, I think technology is part
00:53:36.020 of the answer to solving some of our problems. And certainly, you know, to pick an example,
00:53:43.940 not at random at all, I think that, say, vaccines are a wonderful technology that I would very much
00:53:51.180 not want to get rid of and would like to see a lot more of. So I don't know that we disagree.
00:53:55.760 And actually, I'm going to finish this rambling answer by talking about space, because of course
00:54:01.960 I am. It's very funny to me that, funny, funny, interesting, that I've been brought on to a bunch
00:54:13.520 of radio shows and podcasts and whatnot in the last year
00:54:17.540 since the book came out to, you know,
00:54:21.960 be the person making the case against space colonization.
00:54:28.320 Because to me, space colonization just seems like
00:54:33.980 such a small thing in the grand scheme of space, right?
00:54:39.220 Like, I love space. Of course I do.
00:54:42.620 And that's not just, oh, I grew up reading a lot of science fiction and I'm still a sci-fi junkie. I am. And that's not, you know, I watched a lot of Carl Sagan as a kid. I did. You know, I have a PhD in astrophysics, although I do.
00:54:57.080 But to me, space is a place that I want to know more about.
00:55:03.400 It's a place to explore intellectually.
00:55:07.520 It is a wonderful place to send robots.
00:55:09.560 Something that I say in my book that I'm sure you caught, but a lot of people don't seem to have caught that I said that.
00:55:16.380 And I would love to see us sending even more probes out into space and more space telescopes.
00:55:23.480 And I just don't think that it makes any sense to send large numbers of people to work and live in space.
00:55:33.200 No.
00:55:33.940 Because there's no case for that.
00:55:35.660 And I also think that it's very interesting that that is like the primary modality that people have in mind for like, what is the future of human interaction with space?
00:55:50.600 Whereas I feel like, okay, you know, I want to explore with a light touch. There's no call for going there. And it just, it's surprising to me, although I suppose it shouldn't be, how many people have trouble imagining a human future of interaction with space that is something other than just doing a colonialism.
00:56:14.140 Yeah, exactly.
00:56:14.900 Yeah. And like the, the amount of references that people give to like Columbus specifically when talking about space colonization, like, okay, you understand that you're giving the game away right there. But all of this is to say, you know, I think that there is something gorgeous about sending these probes into space.
00:56:40.200 Because one of the other questions that people will ask is, okay, but what's the point? Why are we spending all of this money? And I always feel like, okay, you know, when it comes to sending the probes out there, that's a false dichotomy. There's so many other things that we spend so much money on that we should be taking money away from to spend on priorities here on Earth.
00:57:00.260 And if it really was a choice between sending a probe to Venus and feeding people here on Earth, of course, I'd choose to feed people here on Earth.
00:57:08.340 That's just not the choice that we face.
00:57:10.280 But in a way, my answer to your question is I don't like it when people try to justify sending probes to space by talking about all of the spinoff technologies that we get that help us here on Earth.
00:57:24.320 Yeah. Because that's, I think, dishonest and disingenuous because it's not why we're doing it. And I think it's very important to be explicit about why we're doing it. We're doing it because we're curious and we want to know the answer. Colonization is not a universal human impulse across all cultures. Curiosity is.
00:57:44.780 wanting to explore the world around us and find out answers to questions is. And I think that,
00:57:52.060 you know, technology is wonderful for that. It's part of that, but it's not the whole story any
00:57:58.340 more than it's the whole story of how do we solve these massive problems that we're facing. So
00:58:02.860 I don't know that we disagree very much. I think it is a tonal thing. And the more I think about
00:58:13.900 it, the more I actually think that little voice in the back of my head that gave the
00:58:17.720 flip answer was right.
00:58:19.500 It would be a very different book if I didn't live here in the thick of it.
00:58:23.880 Yeah, I get it.
00:58:25.280 And I, you know, I had a friend who went and did a fellowship out there in the past couple
00:58:29.820 of years.
00:58:30.720 You know, I left in 2020.
00:58:33.560 She went back about two years ago and she came back and she was like, and she was out
00:58:40.420 there in kind of big tech circles for that, for the entire time she came back.
00:58:43.660 She says, Shannon, it's a cult.
00:58:45.880 And she says, I know that sounds like I'm exaggerating, but I'm not exaggerating.
00:58:49.520 I don't know how else.
00:58:50.160 There's no other way to describe it.
00:58:51.360 It's a cult.
00:58:52.720 You go to a dinner party.
00:58:54.500 There's a language you have to speak.
00:58:55.980 And if you step outside of that, suddenly the room goes cold and quiet.
00:59:01.340 And it looks like every cult movie or horror movie you've ever seen about a kind of groupthink that becomes aggressive.
00:59:11.140 So, yeah, it's absolutely natural to recoil from that so fully that you kind of just want to distance yourself from the whole kind of tech world.
00:59:22.560 And so, yeah, I can see that the closer you are physically and socially to it, probably the harder it is to keep that sort of affection and hopefulness around technology, at least in the short term.
00:59:37.720 Yeah.
00:59:37.800 But I think, obviously, we probably do agree that, you know, in the long run, we have to be able to bring technology back into the fold of the human experience.
00:59:48.080 We have to bring it back into the fold of moral and political progress.
00:59:53.780 And that's the only way, I think, to imagine ourselves happy.
00:59:59.440 Well, I can't think of a better place to end it than that.
01:00:02.000 So, Shannon, I am going to read your book and we should talk about it.
01:00:06.640 This was so much fun.
01:00:07.840 Thank you for making the time.
01:00:09.340 Thank you.
01:00:09.720 And if you're ever coming through Edinburgh or visiting the UK and looking to make a stop
01:00:14.060 in Edinburgh, let me know and we'll set it up.
01:00:17.080 Thanks again to this week's guest, Shannon Fowler.
01:00:20.220 Next week, we have author and astrophysicist and fellow Multitude host, Moya McTeer.
01:00:28.000 To submit questions for future guests and to suggest other guests and to see more pictures
01:00:34.360 of Babka, join the conversation on Patreon. You can also find us on YouTube, on Instagram
01:00:40.180 at DATMPod, on the web and on Blue Sky at DreamingAgainstTheMachine.com, or just find
01:00:46.920 us wherever you get your podcasts. Dreaming Against the Machine is a proud member of
01:00:51.960 Multitude Productions. Our executive producer is Nick Karisimi. Our associate producer is Rosie
01:00:57.600 Thomas. Our theme music is by Jared Emerson Johnson. Our show logo is by Nick James.
01:01:04.360 And our fearless leader is Babka, the greatest cat in the observable universe.
01:01:09.140 I'm Adam Becker, and I'll see you next week.