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: Aside from faster processing speeds, what are some other ways computers may be improved in the future? - Will we still use books in 5-10 years, or will they be replaced by chatting with an AI? - It's moving toward narrative-driven, AI-powered, procedural generated VR environments with metahuman characters interacting with AI speech and whisper.... Create me a film experience.... - Yeah, I can't read books on the computer beyond like two hundred pages–too much eye strain. - Are we close to imitating senses of smell and touch in VR? - I lost my sense of smell due to a brain injury in 2016. Is there any realistic way this could ever be fixed? - How much of biology is untapped? I'm in the biology/biotech/genetics/metabolics field and it feels like most researchers never leave the lab. - Do you think deep neural nets etc. can help us build models of the human perceptual systems with vision and audio? How do we solve the problem of getting accurate training data for subjective experiences? - Technology and science mean nothing until we can chat with our dogs and cats. Will this ever be possible? - Do you think it will be possible to transition a real, living person into VR or code? Or it will be just a "JPG of a person"? - Isn't it too early to assume that we can replace all parts of the brain with digital tech?

Future of Science & Technology Q&A (May 19, 2023)

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: Can you comment on the future of LLMs being running in the cloud vs. being run on one's local machine? - Does the NANOGrav discovery spark ideas for experimental validation of the Physics Project? - Can you discuss the next evolution for AI models? So far we have: language models, image – text (classifiers), text – image (generators), etc. - What can be said for training multimodal AI models? - Do you think that we have reached a point of singularity such that any child born from today onward will never be able to surpass AI at any intellectual task, i.e. are we the last "useful" generation? - Is VR the future of UIs? - Given the two contrasting scenarios of a "Pink Plasma Heaven," where artificial general intelligence optimally solves problems for all sentient life, and a "Matrix Hell," where AI exploits humans as energy sources, how can we establish a guiding framework to navigate between these extremes? - To what degree do you think LLMs provide us with insights on the internal workings of our brain? Do you think there will be more lessons to learn from the structure of the human brain when designing the next generation of LLMs? - Does the spread of LLMs incentivize scientists (and humans in general) to become more deeply specialized (to "out-compete" LLMs in a narrow domain) or to become more broadly spread (in order to creatively generate connections between apparently remote domains)? - Will it be possible to use LLMs to achieve world peace? Or if world peace isn't big enough, can we beam LLM chats into outer space to try and get universal peace? - What do you think of power laws? What do you think are some good entry points for explaining the principles behind power laws? - What do you think of the future of AI in video games? They can be used to control the actions and dialog of NPCs, the design of the game's world and even the design of assets on the fly using little data. Video game assets can take up a lot of data, and if we could use AI to generate assets on the fly using a smaller amount of data, we could cut down on the download size of games as well as the effort needed to make assets. - How will we be able, in the future, to tell what we're seeing on screen isn't AI generated? Anything we could do today? (I think you might be a bot.) - Thinking in terms of inter-concept space, do you think there is an approach to using technology to develop a way in which we may better understand or gain experience to bridge the gap of inter-concept space between what we know and what we don't know? - When will this statement, "I think you might be a bot", be a compliment, rather than a criticism or an insult?

Future of Science and Technology Q&A: Live from the Wolfram Summer School (July 7, 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: How long should someone expect to wait before a new business becomes profitable? - In your personal/professional journey, what are the important things that you learned the hard way? - ​​Can you elaborate on some of the unique talents within your team? Perhaps extremely smart or methodical/disciplined people? - Can you tell us about any exciting projects you're working on right now? - What do you think about self-driving? Do you think Tesla's approach without LIDAR has legs or do you think the Google Waymo hardware-intense approach is more promising? - Any tips for building a strong customer base from scratch? - What's the best way to figure out pricing for a new product or service? - With your work on Wolfram|Alpha and other projects, you've brought complex computational abilities to the general public in accessible ways. What were some of the challenges in making such powerful tools user friendly, and how do you think accessibility to high-level technology will shape industries in the future? - If the CEO himself heavily uses the product, you know it's something special. - Stephen, how do you personally define innovation? What makes something truly innovative instead of just a small improvement? - How important are critiques? Which do you find more valuable: positive or negative feedback? - I like real feedback. Pick it apart—that helps in fixing problems/strengthen whatever it is. - I've been re-watching the first hour of your interview with Yudkowsky since yesterday... do you enjoy those types of interactions often? - How do you balance maintaining the integrity of your original idea while incorporating customer feedback, which is often influenced by their familiarity with previous, incomparable solutions? - Do you have a favorite interview/podcast/speech that you've done? Or one that you were most proud of? - Are you aware that with the weekly livestreams, you basically invented THE PERFECT brain workout? - Is there a topic or question you wish more podcast hosts would ask you about that they often overlook? - What is something surprising people may not know about your "day job"? - You have frequently written about your vast digital archive. What tool do you use for indexing and searching? What other tools have you used or considered in the past and what is your opinion about them? With the improving LLMs and RAG, how do you think searching and indexing will change?

Business, Innovation and Managing Life (November 13, 2024)

Stephen Wolfram is the creator of Mathematica, Wolfram|Alpha and Wolfram Language; the author of A New Kind of Science; and the founder and CEO of Wolfram Research. Over the course of nearly four decades, he has been a pioneer in the development and application of computational thinking—and has been responsible for many discoveries, inventions and innovations in science, technology and business.

On his podcast, Stephen discusses topics ranging from the history of science to the future of civilization and ethics of AI.

Business, Innovation and Managing Life (November 13, 2024)

The Stephen Wolfram Podcast

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