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: https://twitch.tv/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
1:05 SW starts talking
1:17 If eyeglasses were developed in Italy in the 2nd half of the 13th century, then why was the invention of the telescope delayed until 1608?
8:20 Are there possibilities of researchers purposefully misinterpreting history to support their current research? I often hear some things are "open to interpretation", but is there a case of this causing false experiments?
16:11 Same for LLMs hallucination today.
22:36 Makes me think of the "replication crisis" and the question: how many phds if we ran all of them since 1960s through an LLM would be flagged for plagiarism?
29:44 What is best for historical research? Photos? Text? artifacts?
44:18 What do you know about the history of archiving? When did archiving begin?
1:03:33 Your discussion today pinpoints how critical it is for scientists to know the history of their field of research as well as become excellent communicators of the science. One without the other leaves others not as immersed in the field, floundering to understand their ideas.
1:10:08 What has history taught us on how to deal with a science community that is misguided?
1:22:24 What does the modern history of science tell us about non academic contributors and future of this type of contributions?
1:32:45 It's not just science where new ideas need time to settle. Van Gogh famously sold only one painting during his lifetime.
1:36:48 How and why should we document science in the future when AI starts to lead progress?
1:39:16 What are the positives of reformulating history?
1:45:05 End Stream
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,Dr Brian Keating,into the impossible,brian keating,cosmology,Big Bang,Theory of Everything,Theories of Everything,Experimental cosmology,Brain Keating,Into the impossible Podcast,Science Podcast,Scientific interviews,exploring the universe,Universe Facts,Scientific podcasts,space news,Universe exploration,Brain keating,Cosmology podcast,Black hole,Space discovery,Space,Physics,Experiment,Stephen Wolfram,The Nature of Time,Time,What is Time,Space-Time,o-879Tbn5Ww,UCmXH_moPhfkqCk6S3b9RWuw, Society, channel_UCmXH_moPhfkqCk6S3b9RWuw, video_o-879Tbn5Ww,Win a meteorite💥! Join my email list: http://briankeating.com/yt
What is time? Is it just a ticking clock, or is it something more profound?
In this thought-provoking episode of Into the Impossible, Stephen Wolfram challenges everything we know about time, offering a revolutionary computational perspective that could forever change how we understand the universe.
Stephen Wolfram is a computer scientist, physicist, and businessman. He is the founder and CEO of Wolfram Research and the creator of Mathematica, Wolfram Alpha, and Wolfram Language. Over the course of 4 decades, he has pioneered the development & application of computational thinking. He has been responsible for many discoveries, inventions & innovations in science, technology, and business.
He argues that time is the inevitable progress of computation in the universe, where simple rules can lead to complex behaviors. This concept, termed computational irreducibility, implies that time has a rigid structure and that our perception of it is limited by our computational capabilities. Wolfram also explores the relationship between time, space, and gravity, suggesting that dark matter might be a feature of the structure of space.
Tune in to discover the true nature of time.
Key Takeaways:
00:00:00 Intro
00:00:51 The true nature of time
00:24:42 The role of computational irreducibility in thermodynamics
00:29:52 The Ruliad and the nature of observers
00:53:28 The role of gravity in the computational universe
01:06:14 Dark matter and the discreteness of space
01:12:54 Paradigm shifts in science and technology
01:20:18 Exploring the cosmic microwave background (CMB)
01:31:32 Outro
Additional resources:
➡️ Check out Stephen Wolfram:
💻 Website: https://www.stephenwolfram.com/
✖️ Twitter: https://twitter.com/stephen_wolfram
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Into the Impossible with Brian Keating is a podcast dedicated to all those who want to explore the universe within and beyond the known.
Make sure to follow/subscribe so you never miss an episode!
#intotheimpossible #briankeating #stephenwolfram
,,9r5-fisvL50,UCJekgf6k62CQHdENWf2NgAQ, , channel_UCJekgf6k62CQHdENWf2NgAQ, video_9r5-fisvL50,Stephen Wolfram hosts live and unscripted Ask Me Anything about business, innovation and managing life. Find the playlist of Q&A's here: https://wolfr.am/youtube-sw-business-qa
Originally livestreamed at: https://twitch.tv/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
1:06 SW starts talking
1:26 If your last name was something like Smith, would you still have named your company after your name or gone with something different? How does one decide that, are there certain criteria to fit so there aren't a bunch of "Smith" companies?
15:47 Actually, now that i think about it, it's strange we don't have a dozen 'Einstein incorporations.
16:49 Reminds me of the old Dilbert series where the pointy-haired-boss says "The name of the project is the most important thing!" before they even know what the product will be
18:32 So a name is like a joke, if you have to explain it then it does not work?
23:25 Little like 'complex numbers'. Just the name sounds scary to students.
27:35 Can names be copyrighted?
29:16 What role does AI play in brainstorming or generating company names? Will AIs start naming and running their own company?
31:11 With a name like Wolfram people will think physics. Wolfram is becoming synonymous with cutting edge physics.
32:04 Are there any specific naming conventions or patterns that tend to perform well in the tech industry?
38:10 Have you tried asking an LLM for business advice?
39:56 Do you think trends in naming, like all the '-ify' startups, will hurt a brand in the long run?
41:20 What advice would you give to a computer scientist that wants to pursue synthetic biology?
45:24 That's important to have a way to gage biological evolution as a state of increasing complexity.
46:57 How do you determine how innovative something is? What are the key criteria for assessing innovation?
55:37 What's the best way to test a business idea before going all in?
1:00:04 I have experienced trouble at university learning electrical engineering. I can now understand the intent to teach the intuition in EE is not translated to coherent actions, by the teachers. What are the pitfalls experts should avoid in order to maximize the quality of their teaching?
1:05:42 I've always wanted to sequence my genome! its amazing we have made this possible!
1:09:47 End stream
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Contribute to the official Wolfram Community: https://community.wolfram.com/
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,,cOwBVBYTjr8,UCJekgf6k62CQHdENWf2NgAQ, Knowledge, channel_UCJekgf6k62CQHdENWf2NgAQ, video_cOwBVBYTjr8,In this episode of Live CEOing, Stephen Wolfram discusses upcoming improvements and functionality to Wolfram Language. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or through the official Twitch channel of Stephen Wolfram here: https://www.twitch.tv/stephen_wolfram
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X: https://twitter.com/WolframResearch
Facebook: https://www.facebook.com/wolframresearch
Instagram: https://www.instagram.com/wolframresearch/
LinkedIn: https://www.linkedin.com/company/wolfram-research/
Contribute to the official Wolfram Community: https://community.wolfram.com
Stay up-to-date on the latest interest at Wolfram Research through our blog: https://blog.wolfram.com
Follow Stephen Wolfram's life, interests, and what makes him tick on his blog: https://writings.stephenwolfram.com/
,1,Wolfram AI platform is used in medical imaging at Deakin for its ease of use with non-programmer students and staff. Successful research projects include DNN detection and staging of COVID-19 from chest x-rays, and the detection and localisation of prostate cancer in magnetic resonance diffusion images.
,1,Is there any point to the 12 times table? Conrad Wolfram and Jon McLoone discuss Jon's opinion that learning the 12 times table is a waste of students' time.
Read Jon's original argument in his blog: https://blog.wolfram.com/2013/06/26/is-there-any-point-to-the-12-times-table/
,1,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: https://twitch.tv/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
1:05 SW starts talking
1:17 If eyeglasses were developed in Italy in the 2nd half of the 13th century, then why was the invention of the telescope delayed until 1608?
8:20 Are there possibilities of researchers purposefully misinterpreting history to support their current research? I often hear some things are "open to interpretation", but is there a case of this causing false experiments?
16:11 Same for LLMs hallucination today.
22:36 Makes me think of the "replication crisis" and the question: how many phds if we ran all of them since 1960s through an LLM would be flagged for plagiarism?
29:44 What is best for historical research? Photos? Text? artifacts?
44:18 What do you know about the history of archiving? When did archiving begin?
1:03:33 Your discussion today pinpoints how critical it is for scientists to know the history of their field of research as well as become excellent communicators of the science. One without the other leaves others not as immersed in the field, floundering to understand their ideas.
1:10:08 What has history taught us on how to deal with a science community that is misguided?
1:22:24 What does the modern history of science tell us about non academic contributors and future of this type of contributions?
1:32:45 It's not just science where new ideas need time to settle. Van Gogh famously sold only one painting during his lifetime.
1:36:48 How and why should we document science in the future when AI starts to lead progress?
1:39:16 What are the positives of reformulating history?
1:45:05 End Stream
Follow us on our official social media channels.
Twitter: https://twitter.com/WolframResearch/
Facebook: https://www.facebook.com/wolframresearch/
Instagram: https://www.instagram.com/wolframresearch/
LinkedIn: https://www.linkedin.com/company/wolfram-research/
Stephen Wolfram's Twitter: https://twitter.com/stephen_wolfram/
Contribute to the official Wolfram Community: https://community.wolfram.com/
Stay up-to-date on the latest interest at Wolfram Research through our blog: https://blog.wolfram.com/
Follow Stephen Wolfram's life, interests, and what makes him tick on his blog: https://writings.stephenwolfram.com/
