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     61 
     62 [50]More From Artificial Intelligence
     63 
     64 More From Artificial Intelligence
     65 
     66 [51]Explore This Series
     67 
     68   • [52]GIF of a water cooler attached to the top of an old desktop computer
     69 
     70     AI Is Taking Water From the Desert
     71 
     72     [53]Karen Hao
     73   • [54]Animation of a document being scanned and copied
     74 
     75     Generative AI Is Challenging a 234-Year-Old Law
     76 
     77     [55]Alex Reisner
     78   • [56]An image of a Nazi soldier overlaid with a mosaic of brown tiles
     79 
     80     The Deeper Problem With Google’s Racially Diverse Nazis
     81 
     82     [57]Chris Gilliard
     83   • [58]A diver descends toward the head of a sperm whale swimming
     84     perpendicular to the surface.
     85 
     86     How First Contact With Whale Civilization Could Unfold
     87 
     88     [59]Ross Andersen
     89 
     90 [60]Technology
     91 
     92 Neal Stephenson’s Most Stunning Prediction
     93 
     94 The sci-fi legend coined the term metaverse. But he was most prescient about
     95 our AI age.
     96 
     97 
     98 By [61]Matteo Wong
     99 Sci-fi author Neal Stephenson in black and white next to an arm holding a book
    100 Illustration by The Atlantic. Sources: Heritage Images; Amy E. Price / Getty.
    101 February 6, 2024
    102 Share
    103 Save
    104 
    105 Science fiction, when revisited years later, sometimes doesn’t come across as
    106 all that fictional. Speculative novels have an impressive track record at
    107 prophesying what innovations are to come, and how they might upend the world:
    108 H. G. Wells wrote about an atomic bomb [64]decades before World War II, and Ray
    109 Bradbury’s 1953 novel, Fahrenheit 451, features devices we’d describe today as
    110 Bluetooth earbuds.
    111 
    112 Perhaps no writer has been more clairvoyant about our current technological age
    113 than Neal Stephenson. His novels coined the term [65]metaverse, laid the
    114 conceptual groundwork for cryptocurrency, and imagined a geoengineered planet.
    115 And nearly three decades before the release of ChatGPT, he presaged the current
    116 AI revolution. A core element of one of his early novels, [66]The Diamond Age:
    117 Or, a Young Lady’s Illustrated Primer, is a magical book that acts as a
    118 personal tutor and mentor for a young girl, adapting to her learning style—in
    119 essence, it is a personalized and ultra-advanced chatbot. The titular Primer
    120 speaks aloud in the voice of a live actor, known as a “ractor”—evoking how
    121 today’s generative AI, like many digital technologies, is highly dependent on
    122 humans’ creative labor.
    123 
    124 Stephenson’s book, published in 1995, explores a future of seamless, instant
    125 digital communication, in which tiny computers with immense capabilities are
    126 embedded in everyday life. Corporations are dominant, news and ads are
    127 targeted, and screens are omnipresent. It’s a world of stark class and cultural
    128 divisions (the novel follows a powerful aristocratic sect that styles itself as
    129 the “neo-Victorians”), but it’s nevertheless one in which the Primer is
    130 presented as the best of what technology can be.
    131 
    132 [67][original]
    133 [68]The Diamond Age - Or, A Young Lady's Illustrated Primer
    134 By Neal Stephenson
    135 Buy Book
    136 
    137 But Stephenson is far more pessimistic about today’s AI than he was about the
    138 Primer. “A chatbot is not an oracle,” he told me over Zoom last Friday. “It’s a
    139 statistics engine that creates sentences that sound accurate.” I spoke with
    140 Stephenson about his uncannily prescient book and the generative-AI revolution
    141 that has seemingly begun.
    142 
    143 This conversation has been edited for length and clarity.
    144 
    145 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
    146 
    147 Matteo Wong: The Young Lady’s Illustrated Primer is a book that adapts to and
    148 teaches a young girl, which seems to resonate with the vision of AI chatbots
    149 and assistants that many companies have for the near future. Did you set out to
    150 explore the idea of an intelligent machine in imagining the Primer?
    151 
    152 Neal Stephenson: The idea came to me after we had a kid and got this mobile
    153 that was designed to suspend over the crib. It had very primitive, simple
    154 shapes on it because, when they’re newborns, their visual systems can’t resolve
    155 fine details. So there would be a square and a triangle and a circle. And then,
    156 after a certain number of days or weeks had gone by, you were supposed to pop
    157 those cards off of the mobile and snap on a different set that had a more
    158 appropriate fit for what their brains were capable of at that age. That just
    159 got me to thinking: What if you extended that idea to every other form of
    160 intellectual growth?
    161 
    162 The technology that drives the book wasn’t really AI as we think of it now—I
    163 was talking to people who were working on some of the underlying technologies
    164 that would be needed to communicate on the internet in a secure, anonymous
    165 manner. I guess it’s implicit that there’s an AI in there that’s generating the
    166 story and increasing the degree of sophistication in response to the learning
    167 curve of the child, but I didn’t really go into that very much; I just kind of
    168 assumed it would be there.
    169 
    170 Wong: A lot of companies today—OpenAI, Google, Meta, to name a few—have said
    171 they want to build AI assistants that adapt to each user, somewhat like how the
    172 Primer acts as a teacher. Do you see anything in the generative-AI models of
    173 today that resembles or could one day become like the Primer?
    174 
    175 Stephenson: About a year ago, I worked with a start-up that makes AI characters
    176 in video games. I found it rewarding and fascinating because of the
    177 hallucinations: I could see how new patterns emerged from the soup of inputs
    178 being fed to it. The same thing that I consider to be a feature is a bug in
    179 most applications. We’ve already seen examples of lawyers who use ChatGPT to
    180 create legal documents, and the AI just fabricated past cases and precedents
    181 that seemed completely plausible. When you think about the idea of trying to
    182 make use of these models in education, this becomes a bug too. What they do is
    183 generate sentences that sound like correct sentences, but there’s no underlying
    184 brain that can actually discern whether those sentences are correct or not.
    185 
    186 [70]Read: The end of high-school English
    187 
    188 Think about any concept that we might want to teach somebody—for instance, the
    189 Pythagorean theorem. There must be thousands of old and new explanations of the
    190 Pythagorean theorem online. The real thing we need is to understand each
    191 child’s learning style so we can immediately connect them to the one out of
    192 those thousands that is the best fit for how they learn. That to me sounds like
    193 an AI kind of project, but it’s a different kind of AI application from DALL-E
    194 or large language models.
    195 
    196 Wong: And yet, today, those language models, which fundamentally predict words
    197 in a sequence, are being applied to many areas where they have no specialized
    198 abilities—GPT-4 for medical diagnosis, Google Bard as a tutor. That reminds me
    199 of a term used in the book instead of artificial intelligence,
    200 pseudo-intelligence, which many critics of the technology might appreciate
    201 today.
    202 
    203 Stephenson: I’d forgotten about that. The running gag of that book was applying
    204 Victorian diction and prejudices to high-tech things. What was probably going
    205 through my mind was that Victorians would look askance at the term artificial
    206 intelligence, because they would be offended by the idea that computers could
    207 replace human brains. So they would probably want to bracket the idea as a
    208 simulation, or a “pseudo” intelligence, as opposed to the real thing.
    209 
    210 Wong: About a year ago, in an [71]interview with the Financial Times, you
    211 called the outputs of generative AI “hollow and uninteresting.” Why was that,
    212 and has your assessment changed?
    213 
    214 Stephenson: I suspect that what I had in mind when I was making those remarks
    215 was the current state of image-generating technology. There were a few things
    216 about that rubbing me the wrong way, the biggest being that they are benefiting
    217 from the uncredited work of thousands of real human artists. I’m going to
    218 exaggerate slightly, but it seems like one of the first applications of any new
    219 technology is making things even shittier for artists. That’s certainly
    220 happened with music. These image-generation systems just seemed like that was
    221 mechanized and weaponized on an inconceivable scale.
    222 
    223 [72]Read: These 183,000 books are fueling the biggest fight in publishing and
    224 tech
    225 
    226 Another part of it was that a lot of people who got excited about this early on
    227 just generated huge volumes of material and put them out willy-nilly on the
    228 internet. If your only way of making a painting is to actually dab paint
    229 laboriously onto a canvas, then the result might be bad or good, but at least
    230 it’s the result of a whole lot of micro-decisions you made as an artist. You
    231 were exercising editorial judgment with every paint stroke. That is absent in
    232 the output of these programs.
    233 
    234 Wong: Even in The Diamond Age, the Primer seems to provide commentary on
    235 artists’ labor and tech, which is very relevant to generative AI today. The
    236 Primer teaches a girl, but a human actor digitally connected to the book has to
    237 voice the text aloud.
    238 
    239 Stephenson: If you’re a conventional actor onstage or in film, you stand in
    240 front of a camera, you perform once, and then lots of copies can be made. In
    241 the book, I thought it was a pretty positive vision of the future, where we
    242 have the technology that would enable voice actors to in effect give live
    243 performances on demand, all the time. Even with today’s voice clones, if you
    244 break it down to its simplest element, there’s still a human who sat in front
    245 of a microphone and provided this material. Although I guess a system like the
    246 Primer might not work live; you would probably have some lag—the AI is
    247 generating the text and sending it to the ractor, and then the ractor has to
    248 read it.
    249 
    250 Wong: And on the scale that some of today’s AI programs operate on, there just
    251 wouldn’t be enough people to do it.
    252 
    253 Stephenson: The scenario I was laying out in The Diamond Age is that the
    254 ractors are a scarce resource, and so the Primer is more of a luxury product.
    255 But eventually, the source code for the book falls into the hands of a man who
    256 wants to manufacture it on a massive scale, and there’s not enough money and
    257 not enough actors in the world to voice all those books, so at that point, he
    258 decides to use automatically generated voices.
    259 
    260 Wong: Another theme in the novel is how different socioeconomic classes have
    261 access to education. The Primer is designed for an aristocrat, but your novel
    262 also traces the stories of middle- and working-class girls who interact with
    263 versions of the book. Right now a lot of generative AI is free, but the
    264 technology is also very expensive to run. How do you think access to generative
    265 AI might play out?
    266 
    267 Stephenson: There was a bit of early internet utopianism in the book, which was
    268 written during that era in the mid-’90s when the internet was coming online.
    269 There was a tendency to assume that when all the world’s knowledge comes
    270 online, everyone will flock to it. It turns out that if you give everyone
    271 access to the Library of Congress, what they do is watch videos on TikTok. The
    272 Diamond Age reflects the same naivete that I shared with a lot of other people
    273 back in the day about how all of that knowledge was going to affect society.
    274 
    275 Wong: Do you think we’re seeing some of that naivete today in people looking at
    276 how generative AI can be used?
    277 
    278 Stephenson: For sure. It’s based on an understandable misconception as to what
    279 these things are doing. A chatbot is not an oracle; it’s a statistics engine
    280 that creates sentences that sound accurate. Right now my sense is that it’s
    281 like we’ve just invented transistors. We’ve got a couple of consumer products
    282 that people are starting to adopt, like the transistor radio, but we don’t yet
    283 know how the transistor will transform society. We’re in the transistor-radio
    284 stage of AI. I think a lot of the ferment that’s happening right now in the
    285 industry is venture capitalists putting money into business plans, and teams
    286 that are rapidly evaluating a whole lot of different things that could be done
    287 well. I’m sure that some things are going to emerge that I wouldn’t dare try to
    288 predict, because the results of the creative frenzy of millions of people are
    289 always more interesting than what a single person can think of.
    290 
    291 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
    292 
    293 ​When you buy a book using a link on this page, we receive a commission. Thank
    294 you for supporting The Atlantic.
    295 
    296 
    297 [73]Matteo Wong is an associate editor at The Atlantic.
    298 
    299 
    300 References:
    301 
    302 [1] https://www.theatlantic.com/technology/archive/2024/02/chatbots-ai-neal-stephenson-diamond-age/677364/#main-content
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    310 [11] https://www.theatlantic.com/technology/
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