The Stephen Wolfram Podcast

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qa Questions include: ​​What research is essential for putting people on Mars? - Any comments on the future of arts and literature in the face of AI-related challenges? Will individual creative impulses forever be subjugated to AI? - How often do you find yourself thinking about the future of science and technology? Does this affect how you prioritize certain projects (say, wait five years because the tech will be better to handle it)? - Is there a chance we will ever have giant insects or animals akin to those that lived during the age of dinosaurs reappear? - How can we combine LLMs with first-generation AI algorithms like "MiniMax" and tree search? At the moment, LLMs can't even play tic-tac -toe. - ​​Have you heard about AI reading minds through brain waves and fMRI, researched by Michael Blumenstein and Jerry Tang? - Have your thoughts on the future of education changed at all recently? - Would you ever go to Mars? - Are the challenges different from colonizing the bottom of the ocean, other than obvious logistics? - ​​Given the uptick in robotics advances, including humanoid, I wonder if there will even be a point to sending humans to Mars anymore, beyond tourism. - ​​Wasn't there a significantly higher percentage of O2 back then? - A pygmy Stegosaurus would be adorable! - ​​I would not like to go to Mars. It seems boring. They don't even have a Starbucks. - How might the Physics Project help advance technologies like fusion power?

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: Do you think the US will ever transition to the metric system? - What tricks or methods do you use to stay focused on developing a core innovation, while not getting distracted by related features or future potentiality of the innovation (either as an individual or a team)? - Do you have any thoughts why people always seem to underestimate the amount of time a specific project takes? Everyone knows a project always takes roughly double the amount but never plans around that knowledge. - What country do you think is the best to live in? How would you compare the ideal of living in Europe, the ideal of drinking nice wine and good food with friends, to the ideal of working in the US and creating a business which solves some need? - Do you think contemporary books are worse than the classics? Do you think contemporary films are worse than the old ones? What do you think about the art being made today in general? - I'm in awe of your archive of information and would love to know about the mechanics of how you operate that and the tools you use. Would you be able to talk more in depth about how you add to this archive on a day-to-day basis, please, and your general setup? - Speaking of your setup, how do you deal with "pen & paper," notably for preliminary thinking that may be visual/diagrammatic (i.e. free-form), and how does it fit your digital/"quantified" setup? - How do you deal with "memorabilia," both physical and digital? - I saw the kids on a iPad with a pencil doing math homework digitally and it works great to keep all the notes for homework!

Stephen Wolfram answers general questions from his viewers about science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qa Questions include: Can machine learning find a pattern in all animal languages? - Cat: "Meow." Translation: "What a glorious day to be alive. I think I will frolic in the fields and catch myself some field mice for my tea. Then I shall sit down and ponder the nature of the universe." - What is time? - ​​If the rules repeat a state, does that mean time has gone backwards? - ​​​​So less computation allowed for the progression of time? Time slows down the faster you go? - Communication speed between Mars and Earth is not instantaneous. So wouldn't both the sender and the receiver never have real-time data of what was happening on both planets? We on Earth may only find out that something terrible happened on Mars after it's too late, correct? - ​​Is there an "objective" time in Wolfram physics? Is the "frame rate" the same everywhere? - How do I prove that matter is made of atoms? - How would you solve 100/4(2+3)?

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: When, for you, was a computational approach introduced to the scientific process or the scientific culture? - Who began the trend of naming discoveries, inventions, etc. after yourself? - Became clear? How? Pretty sure no one ever solved the three-body equation. - Commentary about naming conventions. - The Trojan asteroids are named after characters from the Trojan War in Greek mythology because of the convention that started with the discovery of the first few such asteroids near Jupiter. These asteroids occupy stable Lagrangian points (L4 and L5) in Jupiter's orbit, and astronomers decided to name them after heroes from the Trojan War, with those at L4 being named after Greek heroes and those at L5 named after Trojan heroes. - Any planned work with tungsten? - ​​​​Regarding naming, is there are good naming convention is computer languages? - What's your view of innovation in economic science? We are nearly 250 years since Adam Smith's Wealth of Nations. - Recall the idea of "Recapitate" instead of "Apply."

Stephen Wolfram, a leading computer scientist and creator of the Wolfram Language, dives into the future of science and technology. He discusses the intriguing possibilities of machine learning in creating new genera and the complexities of genetic modification. Wolfram sheds light on information sourcing in research, questioning how to responsibly cite AI-generated data. He also explores the impact of quantum computing on sustainable textiles and the integration of memory in large language models to enhance performance. The conversation tackles authenticity in AI-generated content and the future of technology.

Stephen Wolfram, a renowned innovator in computational science, dives into a captivating discussion about books, life management, and entrepreneurship. He shares his thoughts on whether books should serve practical or decorative purposes and reveals his preference for physical books over digital ones. Wolfram reflects on balancing work with vacations, emphasizing the joy of pursuing passions. He also discusses his early entrepreneurial journey, highlighting the importance of self-funding and maintaining creative control in a rapidly changing tech landscape.

Stephen Wolfram, a pioneering figure in science and technology, takes on a plethora of viewer questions in this engaging discussion. He breaks down the complexities of machine learning, explaining how it differs from traditional coding and its real-world applications. Dive into the wonders of water vapor and its molecular dynamics, unraveling how temperature influences states of matter. Wolfram also touches on the role of randomness in algorithms, highlighting its surprising benefits in modern computing.

Stephen Wolfram, an influential computer scientist and creator of Mathematica and Wolfram Alpha, engages in a lively discussion on the history of science and technology. He shares insights about the evolution of programming languages, specifically the influence of LISP-like structures and the usability of untyped Mathematica. The conversation delves into dimensional analysis's role in physics and the quirky history of lazy evaluation. Wolfram also reflects on the philosophical impact of mathematics on computer science and theories of human reasoning shaped by computational work.

Stephen Wolfram, a pioneer in computational science, engages with viewers' questions on the future of science and technology. He discusses methods to minimize hallucination in large language models and the importance of prompt engineering. Wolfram envisions AI, notably the AI Scientist, transforming scientific research and peer review, blending innovative ideas with traditional processes. He also reflects on the ethical responsibilities of humans when AI makes mistakes, navigating the intricate relationship between language, computation, and decision-making.

Stephen Wolfram, a luminary in computer science and tech innovation, engages in a lively discussion about business and life management. He shares insights on his impressive collection of 10,000 books and the meticulous organization of his home library. Wolfram reflects on the traits of a strong CTO, the importance of mentorship, and how video calls can be draining. He also reminisces about Mathematica's evolution and emphasizes the role of effective personal organization and communication in fostering productivity.