Ken Liu: What Science Fiction Can Teach Us

Ken Liu: What Science Fiction Can Teach Us

Author: Daniel Bashir February 23, 2023 Duration: 2:02:40

In episode 61 of The Gradient Podcast, Daniel Bashir speaks to Ken Liu.

Ken is an author of speculative fiction. A winner of the Nebula, Hugo, and World Fantasy awards, he is the author of silkpunk epic fantasy series Dandelion Dynasty and short story collections The Paper Menagerie and Other Stories and The Hidden Girl and Other Stories. Prior to writing full-time, Ken worked as a software engineer, corporate lawyer, and litigation consultant.

Have suggestions for future podcast guests (or other feedback)? Let us know here!

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

Outline:

* (00:00) Intro

* (02:00) How Ken Liu became Ken Liu: A Saga

* (03:10) Time in the tech industry, interest in symbolic machines

* (04:40) Determining what stories to write, (07:00) art as failed communication

* (07:55) Law as creating abstract machines, importance of successful communication, stories in law

* (13:45) Misconceptions about science fiction

* (18:30) How we’ve been misinformed about literature and stories in school, stories as expressing multivalent truths, Dickens on narration (29:00)

* (31:20) Stories as imposing structure on the world

* (35:25) Silkpunk as aesthetic and writing approach

* (39:30) If modernity is a translated experience, what is it translated from? Alternative sources for the American pageant

* (47:30) The value of silkpunk for technologists and building the future

* (52:40) The engineer as poet

* (59:00) Technology language as constructing societies, what it is to be a technologist

* (1:04:00) The technology of language

* (1:06:10) The Google Wordcraft Workshop and co-writing with LaMDA

* (1:14:10) Possibilities and limitations of LMs in creative writing

* (1:18:45) Ken’s short fiction

* (1:19:30) Short fiction as a medium

* (1:24:45) “The Perfect Match” (from The Paper Menagerie and other stories)

* (1:34:00) Possibilities for better recommender systems

* (1:39:35) “Real Artists” (from The Hidden Girl and other stories)

* (1:47:00) The scaling hypothesis and creativity

* (1:50:25) “The Gods have not died in vain” & Moore’s Proof epigraph (The Hidden Girl)

* (1:53:10) More of The Singularity Trilogy (The Hidden Girl)

* (1:58:00) The role of science fiction today and how technologists should engage with stories

* (2:01:53) Outro

Links:

* Ken’s homepage

* The Dandelion Dynasty Series: Speaking Bones is out in paperback

* Books/Stories/Projects Mentioned

* “Evaluative Soliloquies” in Google Wordcraft

* The Paper Menagerie and Other Stories

* The Hidden Girl and Other Stories



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,…