The Stephen Wolfram Podcast

History of Science & Technology Q&A (April 12, 2023)


Listen Later

Stephen Wolfram answers questions from his viewers about the history of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qa


Questions include: Do you think it will be possible to recreate historical figures as bots to interact with and get their perspective on current research areas? - Why do many great mathematicians complete their most influential work in their early 20s? - Does "prompting" (as for LLMs) have some historical precursors? - So Feynman could have been a great prompt engineer (given that he was such a great expositor/teacher)? - How do you think future researchers will look back at this current time in history? We look at bones and architecture to determine facts about the past; what will they look at to determine facts of our time? AI? - ​Can we restore old, lost books by reading other old books which talk about them? - Seneca wrote many many letters. Could we detect if some have been wrongly attributed to him? - I love a historian David Lewis's possible world that we can create alternative history/hypothetical situations to learn what went wrong historically. I just wonder whether AI can utilize deep learning to generate the sequence of historical events with the constraint of data and and recreate the alternative historical events with the known variables to generate hypothetical outcome? - Isn't sonographic/x-raying safer than digging through ancient architecture? Or is it still dangerous somehow? - They have been using muons to probe the pyramids in Egypt. - Maybe AI can help with such more passive imaging through buildings? - Neural network weights will be a more efficient means of archive through the centuries than books and libraries—which will matter as with ChatGPT the volume of published writing will climb exponentially. - ​Prompting has relevance in psychology and philosophy. - Could it be that the best prompter now are poets? Or better... computational poets? - I don't think RAM or ROM-chips will survive the passage of time or solid state drives...

...more
View all episodesView all episodes
Download on the App Store

The Stephen Wolfram PodcastBy Wolfram Research

  • 4.6
  • 4.6
  • 4.6
  • 4.6
  • 4.6

4.6

58 ratings


More shows like The Stephen Wolfram Podcast

View all
EconTalk by Russ Roberts

EconTalk

4,224 Listeners

Closer To Truth by Closer To Truth

Closer To Truth

243 Listeners

a16z Podcast by Andreessen Horowitz

a16z Podcast

1,032 Listeners

Conversations with Tyler by Mercatus Center at George Mason University

Conversations with Tyler

2,386 Listeners

The Quanta Podcast by Quanta Magazine

The Quanta Podcast

496 Listeners

Into the Impossible With Brian Keating by Big Bang Productions Inc.

Into the Impossible With Brian Keating

1,041 Listeners

Physics World Weekly Podcast by Physics World

Physics World Weekly Podcast

77 Listeners

Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas by Sean Carroll | Wondery

Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas

4,134 Listeners

ManifoldOne by Steve Hsu

ManifoldOne

87 Listeners

Machine Learning Street Talk (MLST) by Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

87 Listeners

Dwarkesh Podcast by Dwarkesh Patel

Dwarkesh Podcast

387 Listeners

Theories of Everything with Curt Jaimungal by Theories of Everything

Theories of Everything with Curt Jaimungal

460 Listeners

The Joy of Why by Steven Strogatz, Janna Levin and Quanta Magazine

The Joy of Why

498 Listeners

No Priors: Artificial Intelligence | Technology | Startups by Conviction

No Priors: Artificial Intelligence | Technology | Startups

120 Listeners

Training Data by Sequoia Capital

Training Data

40 Listeners