Thomas Mullaney: A Global History of the Information Age

Thomas Mullaney: A Global History of the Information Age

Author: Daniel Bashir May 30, 2024 Duration: 1:43:45

Episode 125

False universalism freaks me out. It doesn’t freak me out as a first principle because of epistemic violence; it freaks me out because it works.

I spoke with Professor Thomas Mullaney about:

* Telling stories about your work and balancing what feels meaningful with practical realities

* Destabilizing our understandings of the technologies we feel familiar with, and the work of researching the history of the Chinese typewriter

* The personal nature of research

The Chinese Typewriter and The Chinese Computer are two of the best books I’ve read in a very long time. And they’re not just good and interesting, but important to read, for the history they tell and the ideas and arguments they present—I can’t recommend them and Professor Mullaney’s other work enough.

Tom is Professor of History and Professor of East Asian Languages and Cultures, by courtesy. He is also the Kluge Chair in Technology and Society at the Library of Congress, and a Guggenheim Fellow. He is the author or lead editor of 8 books, including The Chinese Computer, The Chinese Typewriter (winner of the Fairbank prize), Your Computer is on Fire, and Coming to Terms with the Nation: Ethnic Classification in Modern China.

Reach me at editor@thegradient.pub for feedback, ideas, guest suggestions.

Subscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter

Outline:

* (00:00) Intro

* (01:00) “In Their Own Words” interview: on telling stories about your work

* (07:42) Clashing narratives and authenticity/inauthenticity in pursuing your work

* (15:48) Why Professor Mullaney pursued studying the Chinese typewriter

* (18:20) Worldmaking, transforming the physical world to fit our descriptive models

* (30:07) Internal and illegible continuities/coherence in work

* (31:45) The role of a “self”

* (43:06) The 2008 Beijing Olympics and false (alphabetical) universalism, projectivism

* (1:04:23) “Kicking the ladder” and the personal nature of research

* (1:18:07) The “Technolinguistic Chinese Exclusion Act” — the situatedness of historians in their work

* (1:33:00) Is the Chinese typewriter project finished? / on the resolution of problems

* (1:43:35) Outro

Links:

* Professor Mullaney’s homepage and Twitter

* In Their Own Words: Thomas Mullaney

* Books

* The Chinese Computer: A Global History of the Information Age

* The Chinese Typewriter: A History

* Coming to Terms with the Nation: Ethnic Classification in Modern China



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
Ted Gibson: The Structure and Purpose of Language [not-audio_url] [/not-audio_url]

Duration: 2:13:24
In episode 107 of The Gradient Podcast, Daniel Bashir speaks to Professor Ted Gibson.Ted is a Professor of Cognitive Science at MIT. He leads the TedLab, which investigates why languages look the way they do; the relatio…
Eric Jang: AI is Good For You [not-audio_url] [/not-audio_url]

Duration: 1:29:57
In episode 105 of The Gradient Podcast, Daniel Bashir speaks to Eric Jang.Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pubSubscribe to The Gradient Po…
2023 in AI, with Nathan Benaich [not-audio_url] [/not-audio_url]

Duration: 1:35:37
In episode 104 of The Gradient Podcast, Daniel Bashir speaks to Nathan Benaich.Nathan is Founder and General Partner at Air Street Capital, a VC firm focused on investing in AI-first technology and life sciences companie…
Kathleen Fisher: DARPA and AI for National Security [not-audio_url] [/not-audio_url]

Duration: 46:16
In episode 103 of The Gradient Podcast, Daniel Bashir speaks to Dr. Kathleen Fisher.As the director of DARPA’s Information Innovation Office (I2O), Dr. Kathleen Fisher oversees a portfolio that includes most of the agenc…
Peter Tse: The Neuroscience of Consciousness and Free Will [not-audio_url] [/not-audio_url]

Duration: 2:24:04
In episode 102 of The Gradient Podcast, Daniel Bashir speaks to Peter Tse.Professor Tse is a Professor of Cognitive Neuroscience and chair of the department of Psychological and Brain Sciences at Dartmouth College. His r…
Vera Liao: AI Explainability and Transparency [not-audio_url] [/not-audio_url]

Duration: 1:37:03
In episode 101 of The Gradient Podcast, Daniel Bashir speaks to Vera Liao.Vera is a Principal Researcher at Microsoft Research (MSR) Montréal where she is part of the FATE (Fairness, Accountability, Transparency, and Eth…
Thomas Dietterich: From the Foundations [not-audio_url] [/not-audio_url]

Duration: 2:01:57
In episode 100 of The Gradient Podcast, Daniel Bashir speaks to Professor Thomas Dietterich.Professor Dietterich is Distinguished Professor Emeritus in the School of Electrical Engineering and Computer Science at Oregon…
Martin Wattenberg: ML Visualization and Interpretability [not-audio_url] [/not-audio_url]

Duration: 1:42:05
In episode 99 of The Gradient Podcast, Daniel Bashir speaks to Professor Martin Wattenberg.Professor Wattenberg is a professor at Harvard and part-time member of Google Research’s People + AI Research (PAIR) initiative,…
Laurence Liew: AI Singapore [not-audio_url] [/not-audio_url]

Duration: 50:28
In episode 98 of The Gradient Podcast, Daniel Bashir speaks to Laurence Liew.Laurence is the Director for AI Innovation at AI Singapore. He is driving the adoption of AI by the Singapore ecosystem through the 100 Experim…