Clive Thompson: Tales of Technology

Clive Thompson: Tales of Technology

Author: Daniel Bashir August 29, 2024 Duration: 2:27:35

Episode 136

I spoke with Clive Thompson about:

* How he writes

* Writing about the climate and biking across the US

* Technology culture and persistent debates in AI

* Poetry

Enjoy—and let me know what you think!

Clive is a journalist who writes about science and technology. He is a contributing writer forWired magazine, and is currently writing his next book about micromobility and cycling across the US.

Find me on Twitter for updates on new episodes, and 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

* (01:07) Clive’s life as a Tarantino movie

* (03:07) Boring life and interesting art, life as material for art

* (10:25) Cycling across the US — Clive’s new book on mobility and decarbonization

* (15:07) Turning inward in writing

* (27:21) Including personal experience in writing

* (31:53) Personal and less personal writing

* (36:08) Conveying uncertainty and the “voice from nowhere” in traditional journalism

* (41:10) Finding the natural end of a piece

* (1:02:10) Writing routine

* (1:05:08) Theories of change in Clive’s writing

* (1:12:33) How Clive saw things before the rest of us

* (1:27:00) Automation in software engineering

* (1:31:40) The anthropology of coders, poetry as a framework

* (1:43:50) Proust discourse

* (1:45:00) Technology culture in NYC + interaction between the tech world and other worlds

* (1:50:30) Technological developments Clive wants to see happen (free ideas)

* (2:01:11) Clive’s argument for memorizing poetry

* (2:09:24) How Clive finds poetry

* (2:18:03) Clive’s pursuit of freelance writing and making compromises

* (2:27:25) Outro

Links:

* Clive’s Twitter and website

* Selected writing

* The Attack of the Incredible Grading Machine (Lingua Franca, 1999)

* The Know-It-All Machine (Lingua Franca, 2001)

* How to teach AI some common sense (Wired, 2018)

* Blogs to Riches (NY Mag, 2006)

* Clive vs. Jonathan Franzen on whether the internet is good for writing (The Chronicle of Higher Education, 2013)

* The Minecraft Generation (New York Times, 2016)

* What AI College Exam Proctors are Really Teaching Our Kids (Wired, 2020)

* Companies Don’t Need to Be Creepy to Make Money (Wired, 2021)

* Is Sucking Carbon Out of the Air the Solution to Our Climate Crisis? (Mother Jones, 2021)

* AI Shouldn’t Compete with Workers—It Should Supercharge Them (Wired, 2022)

* Back to BASIC—the Most Consequential Programming Language in the History of Computing Wired, 2024)



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…