The Complexity of Biology and Physics

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: What's there to say about the future of neural nets? - Neural nets could evolve to be able to be trainers? What are the limits? - It seems like every decade I've been alive scientists keep saying "We just realized that brains/DNA are actually a lot more complicated than we realized, but now we're close to understanding them." Do you anticipate this continuing? - The dynamics behind crowdsourcing have interested me for a long time. We can start seeing the potential it has when using the same principles in neural networking. - How do you anticipate biotechnology shaping the future of biomaterials and tissue engineering? What are your thoughts on the accessibility and affordability of biotechnology advancements, and how can we ensure equitable distribution of benefits? - It may be better to prompt the body to regenerate its own organs instead of 3D printing them (again, given Michael Levin's work). - Is burrowing into an asteroid the logical way to shield people and equipment on voyages to, say, Mars or even out of the solar system?