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

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!