AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Seeking Higher-Level Understanding
The speaker was advised against working on consciousness by a mentor, who emphasized the prohibition by using the word 'not.' Despite wanting a higher-level understanding that would be accessible to a four-year-old, the speaker was not permitted to delve into consciousness at that time.
Episode 132
I spoke with Manuel and Lenore Blum about:
* Their early influences and mentors
* The Conscious Turing Machine and what theoretical computer science can tell us about consciousness
Enjoy—and let me know what you think!
Manuel is a pioneer in the field of theoretical computer science and the winner of the 1995 Turing Award in recognition of his contributions to the foundations of computational complexity theory and its applications to cryptography and program checking, a mathematical approach to writing programs that check their work. He worked as a professor of computer science at the University of California, Berkeley until 2001. From 2001 to 2018, he was the Bruce Nelson Professor of Computer Science at Carnegie Mellon University.
Lenore is a Distinguished Career Professor of Computer Science, Emeritus at Carnegie Mellon University and former Professor-in-Residence in EECS at UC Berkeley. She is president of the Association for Mathematical Consciousness Science and newly elected member of the American Academy of Arts and Sciences. Lenore is internationally recognized for her work in increasing the participation of girls and women in Science, Technology, Engineering, and Math (STEM) fields. She was a founder of the Association for Women in Mathematics, and founding Co-Director (with Nancy Kreinberg) of the Math/Science Network and its Expanding Your Horizons conferences for middle- and high-school girls.
Find me on Twitter for updates on new episodes, and reach me at editor@thegradient.pub for feedback, ideas, guest suggestions.
I spend a lot of time on this podcast—if you like my work, you can support me on Patreon :) You can also support upkeep for the full Gradient team/project through a paid subscription on Substack!
Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter
Outline:
* (00:00) Intro
* (03:09) Manuel’s interest in consciousness
* (05:55) More of the story — from memorization to derivation
* (11:15) Warren McCulloch’s mentorship
* (14:00) McCulloch’s anti-Freudianism
* (15:57) More on McCulloch’s influence
* (27:10) On McCulloch and telling stories
* (32:35) The Conscious Turing Machine (CTM)
* (33:55) A last word on McCulloch
* (35:20) Components of the CTM
* (39:55) Advantages of the CTM model
* (50:20) The problem of free will
* (52:20) On pain
* (1:01:10) Brainish / CTM’s multimodal inner language, language and thinking
* (1:13:55) The CTM’s lack of a “central executive”
* (1:18:10) Empiricism and a self, tournaments in the CTM
* (1:26:30) Mental causation
* (1:36:20) Expertise and the CTM model, role of TCS
* (1:46:30) Dreams and dream experience
* (1:50:15) Disentangling components of experience from multimodal language
* (1:56:10) CTM Robot, meaning and symbols, embodiment and consciousness
* (2:00:35) AGI, CTM and AI processors, capabilities
* (2:09:30) CTM implications, potential worries
* (2:17:15) Advice for younger (computer) scientists
* (2:22:57) Outro
Links:
* Manuel’s homepage
* Lenore’s homepage; find Lenore on Twitter (https://x.com/blumlenore) and Linkedin (https://www.linkedin.com/in/lenore-blum-1a47224)
* Articles
* “The ‘Accidental Activist’ Who Changed the Face of Mathematics” — Ben Brubaker’s Q&A with Lenore
* “How this Turing-Award-winning researcher became a legendary academic advisor” — Sheon Han’s profile of Manuel
* Papers (Manuel and Lenore)
* AI Consciousness is Inevitable: A Theoretical Computer Science Perspective
* A Theoretical Computer Science Perspective on Consciousness and Artificial General Intelligence
* References (McCulloch)
Listen to all your favourite podcasts with AI-powered features
Listen to the best highlights from the podcasts you love and dive into the full episode
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
Listen to all your favourite podcasts with AI-powered features
Listen to the best highlights from the podcasts you love and dive into the full episode