Pete Wolfendale: The Revenge of Reason

Pete Wolfendale: The Revenge of Reason

Author: Daniel Bashir August 8, 2024 Duration: 2:52:57

Episode 134

I spoke with Pete Wolfendale about:

* The flaws in longtermist thinking

* Selections from his new book, The Revenge of Reason

* Metaphysics

* What philosophy has to say about reason and AI

Enjoy—and let me know what you think!

Pete is an independent philosopher based in Newcastle. Dr. Wolfendale got both his undergraduate degree and his Ph.D in Philosophy at the University of Warwick. His Ph.D  thesis offered a re-examination of the Heideggerian Seinsfrage, arguing that Heideggerian scholarship has failed to fully do justice to its philosophical significance, and supplementing the shortcomings in Heidegger’s thought about Being with an alternative formulation of the question. He is the author of Object-Oriented Philosophy: The Noumenon's New Clothes and The Revenge of Reason. His blog is Deontologistics.

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

* (01:30) Pete’s experience with (para-)academia, incentive structures

* (10:00) Progress in philosophy and the analytic tradition

* (17:57) Thinking through metaphysical questions

* (26:46) Philosophy of science, uncovering categorical properties vs. dispositions

* (31:55) Structure of thought and the world, epistemological excess

* (49:31) What reason is, relation to language models, semantic fragmentation of AGI

* (1:00:55) Neural net interpretability and intervention

* (1:08:16) World models, architecture and behavior of AI systems

* (1:12:35) Language acquisition in humans and LMs

* (1:15:30) Pretraining vs. evolution

* (1:16:50) Technological determinism

* (1:18:19) Pete’s thinking on e/acc

* (1:27:45) Prometheanism vs. e/acc

* (1:29:39) The Weight of Forever — Pete’s critique of What We Owe the Future

* (1:30:15) Our rich deontological language and longtermism’s limits

* (1:43:33) Longtermism and the opacity of desire

* (1:44:41) Longtermism’s historical narrative and technological determinism, theories of power

* (1:48:10) The “posthuman” condition, language and techno-linguistic infrastructure

* (2:00:15) Type-checking and universal infrastructure

* (2:09:23) Multitudes and selfhood

* (2:21:12) Definitions of the self and (non-)circularity

* (2:32:55) Freedom and aesthetics, aesthetic exploration and selfhood

* (2:52:46) Outro

Links:

* Pete’s blog and Twitter

* Book: The Revenge of Reason

* Writings / References

* The Weight of Forever

* On Neorationalism

* So, Accelerationism, what’s that all about?



Get full access to The Gradient at thegradientpub.substack.com/subscribe

Hosted by Daniel Bashir, The Gradient: Perspectives on AI moves beyond surface-level headlines to explore the intricate machinery and human ideas shaping artificial intelligence. Each episode is built on a foundation of deep research, leading to conversations that are both technically substantive and broadly accessible. You'll hear from researchers, engineers, and philosophers who are actively building and critiquing our technological future, discussing not just how AI systems work, but the larger implications of their integration into society. This isn't about speculative hype; it's a grounded examination of real progress, persistent challenges, and ethical considerations from those on the front lines. The discussions peel back layers on topics like model architecture, policy, and the fundamental science behind the algorithms becoming part of our daily lives. For anyone curious about the substance behind the buzz-whether you have a technical background or are simply keen to understand a defining technology of our age-this podcast offers a crucial and thoughtful resource. Tune in for a consistently detailed and nuanced take that treats artificial intelligence with the complexity it deserves.
Author: Language: English Episodes: 100

The Gradient: Perspectives on AI
Podcast Episodes
Michael Levin & Adam Goldstein: Intelligence and its Many Scales [not-audio_url] [/not-audio_url]

Duration: 57:21
In episode 97 of The Gradient Podcast, Daniel Bashir speaks to Professor Michael Levin and Adam Goldstein. Professor Levin is a Distinguished Professor and Vannevar Bush Chair in the Biology Department at Tufts Universit…
Jonathan Frankle: From Lottery Tickets to LLMs [not-audio_url] [/not-audio_url]

Duration: 1:08:22
In episode 96 of The Gradient Podcast, Daniel Bashir speaks to Jonathan Frankle.Jonathan is the Chief Scientist at MosaicML and (as of release). Jonathan completed his PhD at MIT, where he investigated the properties of…
Nao Tokui: "Surfing" Musical Creativity with AI [not-audio_url] [/not-audio_url]

Duration: 1:02:19
In episode 95 of The Gradient Podcast, Daniel Bashir speaks to Nao Tokui.Nao Tokui is an artist/DJ and researcher based in Tokyo. While pursuing his Ph.D. at The University of Tokyo, he produced his first music album and…
Divyansh Kaushik: The Realities of AI Policy [not-audio_url] [/not-audio_url]

Duration: 1:17:44
In episode 94 of The Gradient Podcast, Daniel Bashir speaks to Divyansh Kaushik.Divyansh is the Associate Director for Emerging Technologies and National Security at the Federation of American Scientists where his focus…
Tal Linzen: Psycholinguistics and Language Modeling [not-audio_url] [/not-audio_url]

Duration: 1:14:50
In episode 93 of The Gradient Podcast, Daniel Bashir speaks to Professor Tal Linzen.Professor Linzen is an Associate Professor of Linguistics and Data Science at New York University and a Research Scientist at Google. He…
Kevin K. Yang: Engineering Proteins with ML [not-audio_url] [/not-audio_url]

Duration: 1:00:00
In episode 92 of The Gradient Podcast, Daniel Bashir speaks to Kevin K. Yang.Kevin is a senior researcher at Microsoft Research (MSR) who works on problems at the intersection of machine learning and biology, with an emp…
Miles Grimshaw: Benchmark, LangChain, and Investing in AI [not-audio_url] [/not-audio_url]

Duration: 1:00:47
In episode 90 of The Gradient Podcast, Daniel Bashir speaks to Miles Grimshaw.Miles is General Partner at Benchmark. He was previously a General Partner at Thrive Capital, where he helped the firm raise its fourth and fi…
Shreya Shankar: Machine Learning in the Real World [not-audio_url] [/not-audio_url]

Duration: 1:16:36
In episode 89 of The Gradient Podcast, Daniel Bashir speaks to Shreya Shankar.Shreya is a computer scientist pursuing her PhD in databases at UC Berkeley. Her research interest is in building end-to-end systems for peopl…
Stevan Harnad: AI's Symbol Grounding Problem [not-audio_url] [/not-audio_url]

Duration: 1:58:21
In episode 88 of The Gradient Podcast, Daniel Bashir speaks to Professor Stevan Harnad.Stevan Harnad is professor of psychology and cognitive science at Université du Québec à Montréal, adjunct professor of cognitive sci…