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Pamela McCorduck: Machines Who Think and the Early Days of AI | Lex Fridman Podcast #34

Pamela McCorduck is an author who has written on the history and philosophical significance of artificial intelligence, the future of engineering, and the role of women and technology. Her books include Machines Who Think in 1979, The Fifth Generation in 1983 with Ed Feigenbaum who is considered to be the father of expert systems, the Edge of Chaos, The Futures of Women, and more. Through her literary work, she has spent a lot of time with the seminal figures of artificial intelligence, includes the founding fathers of AI from the 1956 Dartmouth summer workshop where the field was launched. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep34-sb See below for timestamps, and to give feedback, submit questions, contact Lex, etc. *CONTACT LEX:* *Feedback* - give feedback to Lex: https://lexfridman.com/survey *AMA* - submit questions, videos or call-in: https://lexfridman.com/ama *Hiring* - join our team: https://lexfridman.com/hiring *Other* - other ways to get in touch: https://lexfridman.com/contact *OUTLINE:* 0:00 - Introduction 1:51 - Machines Who Think 4:17 - Founding fathers of AI 6:45 - Early days and the possibilities of AI 14:23 - Roots of how we think about AI 18:59 - McCarthy and Frankenstein 23:30 - AI in the context of broader CS community 29:46 - AI winter 37:09 - Santa Fe Institute and complexity 44:58 - Timeline of AI 46:51 - AI assistants and personal robotics 52:05 - Existential threats and the male gaze *PODCAST LINKS:* - Podcast Website: https://lexfridman.com/podcast - Apple Podcasts: https://apple.co/2lwqZIr - Spotify: https://spoti.fi/2nEwCF8 - RSS: https://lexfridman.com/feed/podcast/ - Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 - Clips Channel: https://www.youtube.com/lexclips *SOCIAL LINKS:* - X: https://x.com/lexfridman - Instagram: https://instagram.com/lexfridman - TikTok: https://tiktok.com/@lexfridman - LinkedIn: https://linkedin.com/in/lexfridman - Facebook: https://facebook.com/lexfridman - Patreon: https://patreon.com/lexfridman - Telegram: https://t.me/lexfridman - Reddit: https://reddit.com/r/lexfridman

Lex FridmanhostPamela McCorduckguest
Aug 23, 20191h 0mWatch on YouTube ↗

EVERY SPOKEN WORD

  1. 0:0052:05

    Intro

    1. LF

      The following is a conversation with Pamela McCorduck. She's an author who has written on the history and the philosophical significance of artificial intelligence. Her books include Machines Who Think in 1979, The Fifth Generation in 1983 with Ed Feigenbaum, who's considered to be the father of expert systems, The Edge of Chaos, The Futures of Women, and many more books. I came across her work in an unusual way, by stumbling on a quote from Machines Who Think that is something like, "Artificial intelligence began with the ancient wish to forge the gods." That was a beautiful way to draw a connecting line between our societal relationship with AI, from the grounded day-to-day science, math and engineering, to popular stories and science fiction and myths of automatons that go back for centuries. Through her literary work, she has spent a lot of time with the seminal figures of artificial intelligence, including the founding fathers of AI from the 1956 Dartmouth summer workshop where the field was launched. I reached out to Pamela for a conversation in hopes of getting a sense of what those early days were like, and how their dreams continue to reverberate through the work of our community today. I often don't know where the conversation may take us, but I jump in and see. Having no constraints, rules or goals is a wonderful way to discover new ideas. This is the Artificial Intelligence podcast. If you enjoy it, subscribe on YouTube, give it five stars on iTunes, support it on Patreon, or simply connect with me on Twitter @lexfridman, spelled F-R-I-D-M-A-N. And now, here's my conversation with Pamela McCorduck. In 1979, your book, Machines Who Think was published. In it, you interview some of the early AI pioneers and explore the idea that AI was born not out of maybe math and computer science, but out of myth and legend.

    2. PM

      (laughs)

    3. LF

      (laughs) So, uh, tell me if you could the story of how you first arrived at the book, the journey of-

    4. PM

      Oh.

    5. LF

      ... beginning to write it.

    6. PM

      I had been a novelist. I'd published two novels. And I was sitting, uh, under, uh, the portal at Stanford one day in the house we were renting for the summer, and I thought, "I should write a novel about these weird people in AI I know." And then I thought, "Ah, don't write a novel. Write a history. Simple. Just go around, you know, interview them, splice it together. Voila, instant book. Ha, ha, ha." It was much harder than that. (laughs) But nobody else was doing it. And so I thought, "Well, this is a great opportunity." And there were people who, uh, John McCarthy for example, thought it was a nutty idea. There were much... You know, the field had not evolved yet, so on. And he had some mathematical thing he thought I should write instead. And I said, "No, John. I am not a woman in search of a project. I'm... This is what I want to do. I hope you'll cooperate." And he said, "Oh, mutter mutter. Well, okay. It's your, your time." And-

    7. LF

      What was the pitch for the... I mean, such a young field at that point. How do you write a personal history of a field that's so young?

    8. PM

      I said, "This is wonderful. The founders of the field are alive and kicking and able to talk about what they're doing."

    9. LF

      Did they sound or feel like founders at the time? Did they know that they've been found- that they had founded something?

    10. PM

      Oh, yeah. They knew what they were doing was very important, very. What they... Uh, what I now see in retrospect is that they were at the height of their research careers. And it's humbling to me that they took time out from all the things that they had to do as a consequence of being there, and to talk to this woman who said, "I think I'm going to write a book about you." (laughs) No, it was amazing, just amazing.

    11. LF

      So who, who stands out to you, uh, maybe looking 63 years ago at the Dartmouth conference? The, so Marvin Minsky was there, McCarthy was there, Claude Shannon, Allen Newell, Herb Simon, some of the folks you've mentioned.

    12. PM

      Right.

    13. LF

      Um, then there's the other characters, right? Um, the one, one of your co-authors.

    14. PM

      (laughs)

    15. LF

      Uh, uh, uh-

    16. PM

      He wasn't at Dartmouth.

    17. LF

      He wasn't at Dartmouth.

    18. PM

      No.

    19. LF

      But I mean, in general.

    20. PM

      He was, I think an undergraduate then.

    21. LF

      (laughs) And, uh, and of course Joe Traub. I mean, all of these are players, not at Dartmouth, but, uh, in that era.

    22. PM

      Right.

    23. LF

      Uh, and C- CMU and so on. So who are the characters, if you could paint a picture, that stand out to you from memory? Those people you've interviewed and maybe not, people that were just in the...

    24. PM

      In the am- the atmosphere.

    25. LF

      In the atmosphere.

    26. PM

      Uh, of course the four founding fathers were extraordinary guys. They really were.

    27. LF

      Who are the founding fathers?

    28. PM

      Allen Newell, Herbert Simon, Marvin Minsky, John McCarthy. They were the four who were not only at the Dartmouth conference, but Newell and Simon arrived there with a working program, uh, called the Logic Theorist. Everybody else had great ideas about how they might do it, but they weren't gonna do it yet. Um, and you mentioned Joe Traub, my husband. I, I was immersed in AI before I met Joe, because I had been Ed Feigenbaum's assistant at Stanford. And before that, I had worked on a book by, edited by Feigenbaum and Julian Feldman called...... Computers and Thought. It was the first textbook of readings of AI. And they, they only did it because they were trying to teach AI to people at Berkeley, and there was nothing... You know, you'd have to send them to this journal and that journal. This was not the internet where you could go look at a, an article. So I was fascinated from the get-go by AI. I was an En- English major, you know, what did I know? And, uh, yet I was fascinated. And that's why you saw that historical, that literary background, which I, I think is very much a part of the continuum of AI. That, uh, that AI grew out of that same impulse.

    29. LF

      Was that, yeah, that traditional. What, what was, what drew you to AI? How did you even think of it back, back then?

    30. PM

      (laughs)

  2. 52:051:00:13

    Existential threats and the male gaze

    1. PM

    2. LF

      Yeah. Do you have concerns about, um, about AI, the existential threats as many people, like Elon Musk and, and, uh, Sam Harris and others that are thinking about-

    3. PM

      Oh, yeah, yeah. Hmm, that takes up a half a chapter in my book.

    4. LF

      (laughs)

    5. PM

      I call it the male gaze.

    6. LF

      (laughs) Yeah.

    7. PM

      Well, uh, y- hear me out.

    8. LF

      Yeah.

    9. PM

      Um, the male gaze is actually a term from film criticism. And I'm blocking on the womans who dreamed this up, but she pointed out how most movies were made from the male point of view, that women were objects not subjects, they didn't have any, uh, agency, so on and so forth. So when Elon and his pals-

    10. LF

      (laughs)

    11. PM

      ... Hawking and so on came, "AI's gonna eat our lunch and our dinner and our midnight snack too," I thought, "What?" And I said to Ed Feigenbaum, "Ah, this is the first gu- first, these guys have always been the smartest guy on the block, and here comes something that might be smarter. Ooh, let's stamp it out before it takes over."

    12. LF

      (laughs)

    13. PM

      And Ed laughed, he said, "I didn't think about it that way." But I did, I did. And it is the male gaze, you know? Okay, suppose these things do have agency. Well, let's wait and see what happens.

    14. LF

      Okay. (laughs)

    15. PM

      Can we imbue them with ethics? Can we imbue them with a sense of empathy? Or are they just gonna be, "Uh." I know we've had centuries of guys like that.

    16. LF

      (laughs) That's interesting that, um, the, the ego, uh, the m- the male gaze is immediately threatened, and so you can't think in a patient-

    17. PM

      (laughs)

    18. LF

      ... calm way of, of, uh, how the tech could evolve. I mean, s- speaking of which, your '96 book, The Future of Women-

    19. PM

      Oh.

    20. LF

      ... I think at the time, and now, certainly now, I mean, I'm sorry, maybe at the time, but I'm more cognizant of now, is, uh, extremely relevant. You and Nancy Ramsey talk about four possible futures-

    21. PM

      Right.

    22. LF

      ... of women in science and tech. So if we look at the decades before and after the book was released, can you tell a history, sorry, of women in science and tech-

    23. PM

      Oh, boy.

    24. LF

      ... and how it has evolved?How have things changed? Where do we stand?

    25. PM

      Not enough. (laughs) They have not changed enough. Uh, the way that women are ground down (laughs) in computing is simply unbelievable.

    26. LF

      But what are the four possible futures for women-

    27. PM

      Oh.

    28. LF

      ... in tech from the book?

    29. PM

      What you're really looking at are various aspects of the present. So for each of those, you could say, "Oh, yeah. We do have backlash. Look at what's happening with abortion and so on and so forth."

    30. LF

      Mm-hmm.

Episode duration: 1:00:06

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