Nicholas Thompson: AI and Journalism

Nicholas Thompson: AI and Journalism

Author: Daniel Bashir February 15, 2024 Duration: 59:43

In episode 111 of The Gradient Podcast, Daniel Bashir speaks to Nicholas Thompson.

Nicholas is the CEO of The Atlantic. Previously, he served as editor-in-chief of Wired and editor of Newyorker.com. Nick also cofounded Atavist, which sold to Automattic in 2018. Publications under Nick’s leadership have won numerous National Magazine Awards and Pulitzer Prizes, and one WIRED story he edited was the basis for the movie Argo. Nick is also the co-founder of Speakeasy AI, a software platform designed to foster constructive online conversations about the world’s most pressing problems.

Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pub

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

Outline:

* (00:00) Intro

* (02:12) Nick’s path into journalism

* (03:25) The Washington Monthly — a turning point

* (05:09) Perspectives from different positions in the journalism industry

* (08:16) What is great journalism?

* (09:42) Example from The Atlantic

* (11:00) Other examples/pieces of good journalism

* (12:20) Pieces on aging

* (12:56) Mortality and life-force associated with running — Nick’s piece in WIRED

* (15:30) On urgency

* (18:20) The job of an editor

* (22:23) AI in journalism — benefits and limitations

* (26:45) How AI can help writers, experimentation

* (28:40) Examples of AI in journalism and issues: CNET, Sports Illustrated, Nick’s thoughts on how AI should be used in journalism

* (32:20) Speakeasy AI and creating healthy conversation spaces

* (34:00) Details about Speakeasy

* (35:12) Business pivots and business model trouble

* (35:37) Remaining gaps in fixing conversational spaces

* (38:27) Lessons learned

* (40:00) Nick’s optimism about Speakeasy-like projects

* (43:14) Social simulacra, a “Troll WestWorld,” algorithmic adjustments in social media

* (46:11) Lessons and wisdom from journalism about engagement, more on engagement in social media

* (50:27) Successful and unsuccessful futures for AI in journalism

* (54:17) Previous warnings about synthetic media, Nick’s perspective on risks from synthetic media in journalism

* (57:00) Stop trying to build AGI

(59:13) Outro

Links:

* Nicholas’s Twitter and website

* Speakeasy AI

* Writing

* “To Run My Best Marathon at Age 44, I Had to Outrun My Past” in WIRED

* “The year AI actually changes the media business” in NiemanLab’s Predictions for Journalism 2023



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…