History of Science and Technology Q&A (May 10, 2023)
Stephen Wolfram hosts a live and unscripted Ask Me Anything about the history of science and technology for all ages. Find the playlist of Q&A's here: https://wolfr.am/youtube-sw-qa
Originally livestreamed at: / stephen_wolfram
If you missed the original livestream of this episode, feel free to submit a question you would like Stephen to answer in a future Q&A livestream here: https://wolfr.am/12cczmv5J
00:00 Start stream
1:16 SW starts talking
1:31-10:25 When researching, do you find it's more helpful to stay close to modern times in terms of content, or do findings from hundreds of years ago also prove valuable?
10:34-39:25 Can you talk about the history of theories of cognition and consciousness? What did the ancients think? Did Gödel or Turing think about this much? Does ChatGPT disprove Penrose's Orch OR?
39:42-46:52 Aristotle, Leibniz, Godel, Wolfram: How were/are these philosophers able to somewhat understand the idea of universal computation? How did they and you reach those insights?
47:00-49:26 Is there something you could speak to about von Neumann's work to understand that the models of computation could relate to the mind?
49:44-54:55 Has the importance of areas of science shifted in history? What was the main focus of science five hundred years ago? One hundred years ago? Ten?
54:59-1:01:18 Is there a connection between these advances in science and education? Does education evolve with these changes?
1:01:34-1:09:41 What has been the most important invention that has improved research overall?
1:09:51-1:10:12 Right! By 1991 we had ERIC for upper-graduate research, and it was a game changer. No more need for librarians in the traditional way and history at our fingertips.
1:10:44-1:15:18 Historically, what have been the the most difficult problems or obstacles for us to overcome or solve in the areas of science and technology?
1:15:24-1:25:22 About unintended consequences of revolutions: what lessons from the Industrial Revolution have we learned that we could use for the AI revolution?
1:25:31-1:27:55 Do you think it's fundamentally possible for science as we know it to hit a wall at some point and slowly degenerate into a nonproductive state?
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