The Stephen Wolfram Podcast

Business, Innovation, and Managing Life (May 17, 2023)


Listen Later

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

Questions include: From a leadership standpoint, what are your best teachings on how to lead with purpose? What is your leadership style? - How do you handle making mistakes? - It is impressive to see you (in a livecoding session) pull open a 20-year-old Mathematica document to refer to an earlier idea that you had. How have you managed your massive inventory of Mathematica idea notebooks over 30+ years? (e.g. do you create standalone Mathematica notebooks or massive ones?)? - Have you seen other people learn to not need to "relax" and to continuously work, as you do? I am most satisfied when I'm being productive, but I find myself getting fatigued or losing focus at some point. How do you maintain your work ethic? - Could you share your personal experience with how your intelligence has evolved as you've aged, particularly in terms of recall? Specifically, can you describe what it feels like for you when you take a brief pause of 0.2-2 seconds to grasp a concept while discussing complex topics in communication or video presentations? - Do you have any advice for the new generation of college graduates entering the workforce? What's the best way to apply for jobs? How do you maintain those jobs for years to come? - Do you think we'll get to a point where AI is in charge of interviewing? How could this be beneficial? Or even harmful? - What is your advice on how to lead when you sincerely do know less about the subject than the people you're assigned to lead? - As a company that functions worldwide, do you find language barriers to be an issue? Can AI help eliminate these barriers with some sort of universal translator? - Are there any self-evaluation techniques that you would recommend for everyone? - I'm curious about your approach to digesting new content, especially in the context of a research paper. In circumstances where time is limited and reading everything is not feasible, how do you determine when it's worth pausing to explore a referenced citation in depth versus continuing the reading without fully understanding the citation? Could you share your strategies for efficient and selective reading? - How do I go about learning mathematical thinking? My school focuses on learning formulas and just solving questions in the age of computers. - What would you suggest for a self-taught programmer on the "trader" side who wants to get more knowledgeable on "computational thinking"–books, courses, topics, anything you could share as clues for making a personal curriculum would be great!

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

The Stephen Wolfram PodcastBy Wolfram Research

  • 4.5
  • 4.5
  • 4.5
  • 4.5
  • 4.5

4.5

60 ratings


More shows like The Stephen Wolfram Podcast

View all
Closer To Truth by Closer To Truth

Closer To Truth

250 Listeners

Conversations with Tyler by Mercatus Center at George Mason University

Conversations with Tyler

2,397 Listeners

The Quanta Podcast by Quanta Magazine

The Quanta Podcast

503 Listeners

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

Into the Impossible With Brian Keating

1,051 Listeners

CoRecursive: Coding Stories by Adam Gordon Bell - Software Developer

CoRecursive: Coding Stories

190 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

4,119 Listeners

ManifoldOne by Steve Hsu

ManifoldOne

90 Listeners

The Origins Podcast with Lawrence Krauss by Lawrence M. Krauss

The Origins Podcast with Lawrence Krauss

508 Listeners

GoodFellows: Conversations from the Hoover Institution by Hoover Institution

GoodFellows: Conversations from the Hoover Institution

668 Listeners

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

Machine Learning Street Talk (MLST)

90 Listeners

Dwarkesh Podcast by Dwarkesh Patel

Dwarkesh Podcast

426 Listeners

Theories of Everything with Curt Jaimungal by Theories of Everything

Theories of Everything with Curt Jaimungal

469 Listeners

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

The Joy of Why

500 Listeners

Robinson's Podcast by Robinson Erhardt

Robinson's Podcast

254 Listeners

No Priors: Artificial Intelligence | Technology | Startups by Conviction

No Priors: Artificial Intelligence | Technology | Startups

125 Listeners