Wolfram | Analyzing the Temperature-Varied Syntactic Structures of GPT 3.5 @WolframResearch | Uploaded July 2024 | Updated October 2024, 1 hour ago.
Welcome back to the Wolfram Student Podcast! In episode 3 of season 2.5, we feature Tianyi Gu and his project on exploring how the temperature of large language models influences the grammatical structures of the text they produce. Join us as we discuss the different methods of qualitatively and quantitatively measuring grammar similarity, learn how to apply graph theory to language, and discover the differences between human and machine generated text and what makes us truly unique.
Welcome back to the Wolfram Student Podcast! In episode 3 of season 2.5, we feature Tianyi Gu and his project on exploring how the temperature of large language models influences the grammatical structures of the text they produce. Join us as we discuss the different methods of qualitatively and quantitatively measuring grammar similarity, learn how to apply graph theory to language, and discover the differences between human and machine generated text and what makes us truly unique.
![Science & Technology Q&A for Kids (and others) [Part 143]](https://i.ytimg.com/vi/7Uqo_kKEztg/hqdefault.jpg "Science & Technology Q&A for Kids (and others) [Part 143]
Stephen Wolfram hosts a live and unscripted Ask Me Anything about science and technology for all ages. Find the playlist of Q&As 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
1:12: SW starts talking
1:21-17:17 Can you explain eclipse prediction like Im in middle school? High school? College?
17:31-20:17 Is it possible to view an Eclipse from space? Do astronauts on the space station see anything during eclipses?
20:22-24:10 Related to the eclipse, it is interesting that the Moon always shows the same side to Earth. Why is that? (Ive heard about commensurate frequencies, but Im not sure about the origin of this fact.)
24:11-28:53 How are orbits in the solar system so stable over time?
28:58-31:54 I wonder if it would have any effect if the Moon did rotate with respect to the Earth?
31:59-34:07 If the Moon were spinning fast, it would probably still have a liquid core, I think?
34:15-41:49 If the Moon were to be broken apart, leading to a debris field impacting Earth, what models exist to predict the scale of these impacts and their potential effects on global climate, ecosystems and people?
42:01-43:01 Is predicting eclipses harder than predicting the motions of planets or comets?
43:08-1:05:58 Can LLMs do math?
1:06:02-1:07:14 When will the AIs start colonizing space?
1:07:27-1:11:28 When we have large models of all sorts of other stuff, will LLMs primary role not actually be as the interpreters between humans and our tools?
1:11:29-1:12:48 Cant we look into the brain to find out what types of transformers or even other things we need in LLMs?
1:13:21 End stream
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![Live CEOing Ep 818: Language Design in Wolfram Language [Failsafe, Equal-bracket Styling, and More]](https://i.ytimg.com/vi/7jF1v2ccKmY/hqdefault.jpg "Live CEOing Ep 818: Language Design in Wolfram Language [Failsafe, Equal-bracket Styling, and More]
In this episode of Live CEOing, Stephen Wolfram discusses upcoming improvements and functionality to Wolfram Language. If youd 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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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 Wolframs life, interests, and what makes him tick on his blog: https://writings.stephenwolfram.com/")
