The Scientist vs. the Machine
January 14, 2025
2,961
53
16
2.33%
Search the Record
IndexedEvery word spoken in this episode is indexed. Type any phrase to jump straight to the moment it was said.
Type any word or phrase that may have been spoken. Click a result to seek the player to that exact moment.
Try a name, a topic, or a quoted line
The Atlantic Episodes Around January 14, 2025
See what was published immediately before and after this episode.
49:56Now PlayingThe Scientist vs. the Machine
YouTube Description
as posted by the channelEditor’s noteAfter this episode aired, MIT issued a statement () raising concerns about the integrity of Aidan TonerRodgers's working paper “Artificial Intelligence, Scientific Discovery, and Product Innovation,” and recommending that the paper be withdrawn. The openaccess research repository arXiv, where the paper was originally posted, has removed it from its archive, citing () “concerns about the validity of the data and incomplete Institutional Review Board requirements.” The Atlantic reached out to TonerRodgers for comment but has so far not received a response.
Amid handwringing about AI’s effect on jobs, creativity, trust, and the environment, a new study shows the technology’s profound impact on scientific productivity. Aidan Toner-Rodgers, a Ph.D. candidate at MIT, recounts his research that shows the benefits and drawbacks of using AI to discover new scientific materials.
Get more from your favorite Atlantic voices when you subscribe. You’ll enjoy unlimited access to Pulitzerwinning journalism, from cleareyed analysis and insight on breaking news to fascinating explorations of our world. Subscribe today at TheAtlantic.com/podsub () .
Learn more about your ad choices. Visit megaphone.fm/adchoices ()
Guests & Subjects Covered
Sentinel Indexing in Progress
Metadata and chapters are available. Claim extraction for this episode is pending.
All video content is delivered via YouTube embedded players in accordance with the YouTube Terms of Service. Sentinel provides research tools that promote discovery and accountability across political media.