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: Did you see the Oppenheimer movie? If so, what were your thoughts? - What are the things one should do to prepare oneself to become a scientist regarding education path, ideas, tools in the upcoming age of computation and AI? - Can "Kelly Criterion", aka calculating size of bets to place in markets, also be a good tool to manage life? Which is to say, you limit the size of your experiments by design? - ​Are you using any LLM Functions for managing your daily workflow? If so, which ones? - What's the "next big thing" in business? How will virtual spaces (like with Apple's new headset announcement) gaining popularity impact the workplace, if at all? - I'm a software engineer with about 8 years of professional experience. I'm interested in transitioning into the field of AI/machine learning. I found it quite difficult to find careers in the marketplace that don't require 5+ years of experience in AI/machine learning. Any advice on how best to make this transition? - What would you say to people who are scared to lose their jobs to AI? There are a lot of young professionals in the tech sector that are just getting started in becoming data analysts, project managers, and engineers. We are starting to hear a lot of bustle about these careers not being good investments in the long term. - A bit of a funny lifestyle question. What's your opinion on living off-grid (living in the rural quiet area) in a modern time? - Given the computational limitations of the human brain, are there drawbacks in thinking computationally? Do we risk losing track of high level patterns with too many parts to count? - When you were starting SMP, if someone else had already made significant progress in building a full-scale computational language, what would you have done? - Any cool projects you enjoyed working with during Summer School? - Science somewhat requires integration of many disciplines but in academia, almost only way to progress in your career is to publish stuff in your "area of expertise"

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: Can you discuss a bit of your personal history with AI? When did you first become interested in the idea? - Have you seen Oppenheimer yet or do you plan to? What can you say about the history it's based on? - Have new scientific discoveries historically initiated out of myths?

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?

Stephen Wolfram answers viewer questions on neural nets, biotechnology, organ regeneration, cosmology, and more in an engaging unscripted livestream. Topics include the future of neural nets, crowdsourcing dynamics, biotechnology advancements, and using asteroids for shielding on space voyages.

Stephen Wolfram shares insights on balancing work and life, emphasizing walking for health and productivity. He discusses technology, relationships, retirement, and practical applications in AI. Exploring daily tasks and intellectual pursuits, summer school organization, and challenges of remote work and software engineering.

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: Could the expansion of the universe affect biological evolution? - ​How much does the sky weigh? How much does the Earth weigh? - What would happen if gravity on Earth changed to that of the Moon? What if gravity suddenly got stronger? - So a full data memory card vs. a new, empty data memory card of the same kind: will there be a slight difference in weight due to the data filled? - Do insects (e.g. ants, mites, etc.)/bacteria have brains? Assuming they do, do they have emotions? Do they feel pain? If they (in the case of bacteria) don't have a brain, what governs their behaviors? - How was it discovered that caffeine could energize us? Is it all living things that experience these effects, or is it exclusive to humans? - If electronics have coils and the brain has coils, should we be more conscious of signals in the air? - Is there a reason for the food likes and dislikes that each person experiences? Can taste buds be tricked?

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: How did scientific disciplines originate and evolve through the centuries? - Do you think Apple's new VR headset will be much different than previous releases of other VR headsets? What do past releases of similar products predict? - VR kind of reminds me of video game systems. Your product may be fantastic, but if the content/software isn't up to snuff, it's probably going to fail. - These glasses and headsets need to be comfy and miniaturized to become suitable for everyday use. - What are use cases in education for these new headsets? - Perhaps AI can be used to translate existing educational material into VR-suitable content.

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: Do you think the latest electric car is worth buying these days? What is the future of cars? - With technology integration, would we be able to do away with having to sleep in the future? - As far as human evolution, do you believe the human race is still evolving or have we peaked as a species? What's next in the stage of human evolution? - Will we ever have technology that will allow us to learn while we sleep? - Noise seems to be almost inevitable when it comes to flying, do you think there's a way to solve it? - How do you optimize the sky for regular air travel to accommodate flying cars? It doesn't seem feasible to build roads and traffic lights in the sky. - What about the future of tunnels? We've got 2 options for 3-D travel space! - About flying cars... Flying is dangerous and requires more training and skill and safety than ground cars. - Flying cars would take up an incredible amount of energy. Do you think it's even feasible that they would replace ground transportation? - What kind of architecture would we need in order to build an AI that is as good at math as LLMs are at language? Do you think this will be a fundamentally different architecture than a neural network? If so, how do humans do math in any self-consistent way at all? - Does AI being an interface to books mean there will be more subject matter experts, or fewer of them? - Will technology carry us away from the human condition, or allow it to flourish? - What does the future of libraries look like? - Lots of libraries have eBook checkouts now. - The future of the library is the anti-library, more books collected than read. - Even with modern internet mass information available, I still greatly value my personal physical library, several thousand technical reference books, documentation and circuit diagrams for all manner of things. Much of which cannot be found online yet.

Stephen Wolfram answers questions from his viewers about the history 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?

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 LLMs will give everyone something akin to a personal McKinsey consultant? - How much efficiency is lost by needing to explain things to a team vs. doing a whole design alone? - With schools ending for the year, what are some ways to continue teaching kids over the summer? Did your summer schedule ever change when your kids would get out of school for summer? - What do you think about machine learning libraries vs. books? Do you think there is a current infrastructure out there for people to make libraries and sell them to users? It's interesting to think about people buying machine learning libraries for their AIs instead of books for their engineers. - What are some simple mathematical tricks and shortcuts it would be good for kids to learn? This might make a useful blog post. Things like "For powers of 10, the little number is how many zeroes come after the 1" and "It's easy to get 10%, you just have to double it to get 20% or find half to get 5%". - If you created an AI emulator of yourself, what would the first three rules of its conduct be? If you could "prompt engineer" an assistant bot for yourself, what would be the first three/most important "rules" you'd tell it to follow? - I'm a software engineer with about eight years of professional experience. I'm interested in transitioning into the field of AI/machine learning. I found it quite difficult to find careers in the marketplace that don't require 5+ years of experience in AI/machine learning. Any advice on how best to make this transition? - Will prompt engineering becoming a legitimate field of study at some point, or is this mainly a trend due to the current systems? - What does it take up front for you to fully invest in a potential idea? Must there be a full proof of concept done prior, with rigorous testing? - Isn't it inherently unwise to seek out AI help, especially in a corporate setting, as it may lead to leakage of information? - Do you find that the key to bring a productive person involves structuring your mind in such a way that you tackle problems in projects? What advice would you have for the sporadic-minded individual?