Breaking Math Podcast

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Rating
4
from
315 reviews
This podcast has
120 episodes
Language
Publisher
Explicit
No
Date created
2017/02/01
Average duration
38 min.
Release period
33 days

Description

Breaking Math brings you the absolute best in interdisciplinary science discussions - bringing together experts in varying fields including artificial intelligence, neuroscience, evolutionary biology, physics, chemistry and materials-science, and more - to discuss where humanity is headed. ** Includes helpful information for STEM students such as scholarship opportunities, free and cheap resources such as textbooks, open source material, recommended lectures on YouTube, School-to-Career pipeline tips and more! Subscribe to our newsletter on our website below: website: breakingmath.io linktree: linktree.com/breakingmathmedia email: breakingmatnpodcast@gmail.com Become a supporter of this podcast: https://www.spreaker.com/podcast/breaking-math-podcast--5545277/support.

Podcast episodes

Check latest episodes from Breaking Math Podcast podcast


87. OpenAi SORA, Physics-Informed ML, and a.i. Fraud- Oh My!
2024/02/20
Become a supporter of this podcast: Spreaker Supporters Club All episodes are available commercial free on patreon! Visit our website at breakingmath.wtf Contact us at breakingmathpodcast@gmail.com Summary OpenAI's Sora, a text-to-video model, has the ability to generate realistic and imaginative scenes based on text prompts. This conversation explores the capabilities, limitations, and safety concerns of Sora. It showcases various examples of videos generated by Sora, including pirate ships battling in a cup of coffee, woolly mammoths in a snowy meadow, and golden retriever puppies playing in the snow. The conversation also discusses the technical details of Sora, such as its use of diffusion and transformer models. Additionally, it highlights the potential risks of AI fraud and impersonation. The episode concludes with a look at the future of physics-informed modeling and a call to action for listeners to engage with Breaking Math content. Takeaways OpenAI's Sora is a groundbreaking text-to-video model that can generate realistic and imaginative scenes based on text prompts.Sora has the potential to revolutionize various industries, including entertainment, advertising, and education.While Sora's capabilities are impressive, there are limitations and safety concerns, such as the potential for misuse and the need for robust verification methods.The conversation highlights the importance of understanding the ethical implications of AI and the need for ongoing research and development in the field. Chapters 00:00 Introduction to OpenAI's Sora 04:22 Overview of Sora's Capabilities 07:08 Exploring Prompts and Generated Videos 12:20 Technical Details of Sora 16:33 Limitations and Safety Concerns 23:10 Examples of Glitches in Generated Videos 26:04 Impressive Videos Generated by Sora 29:09 AI Fraud and Impersonation 35:41 Future of Physics-Informed Modeling 36:25 Conclusion and Call to Action #OpenAiSora #
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86. Math, Music, and Artificial Intelligence - Levi McClain Interview (Final Part)
2024/02/18
All episodes are available commercial Free for supporters on Spreaker and Patreon Transcripts are available upon request. Email us at BreakingMathPodcast@gmail.com Follow us on X (Twitter) Follow us on Social Media Pages (Linktree) Visit our guest Levi McClain's Pages: youtube.com/@LeviMcClain levimcclain.com/ Summary Levi McClean discusses various topics related to music, sound, and artificial intelligence. He explores what makes a sound scary, the intersection of art and technology, sonifying data, microtonal tuning, and the impact of using 31 notes per octave. Levi also talks about creating instruments for microtonal music and using unconventional techniques to make music. The conversation concludes with a discussion on understanding consonance and dissonance and the challenges of programming artificial intelligence to perceive sound like humans do. Takeaways: The perception of scary sounds can be analyzed from different perspectives, including composition techniques, acoustic properties, neuroscience, and psychology.Approaching art and music with a technical mind can lead to unique and innovative creations.Sonifying data allows for the exploration of different ways to express information through sound.Microtonal tuning expands the possibilities of harmony and offers new avenues for musical expression.Creating instruments and using unconventional techniques can push the boundaries of traditional music-making.Understanding consonance and dissonance is a complex topic that varies across cultures and musical traditions.Programming artificial intelligence to understand consonance and dissonance requires a deeper understanding of human perception and cultural context. Chapters 00:00 What Makes a Sound Scary 03:00 Approaching Art and Music with a Technical Mind 05:19 Sonifying Data and Turning it into Sound 08:39 Exploring Music with Microtonal Tuning 15:44 The Impact of Using 31 Notes per Octave 17:37 Why 31 Notes Instead of Any Other Arbitrary Number 19:53 Creating Instruments for Microtonal Music 21:25 Using Unconventional Techniques to Make Music 23:06 Closing Remarks and Questions 24:03 Understanding Consonance and Dissonance 25:25 Programming Artificial Intelligence to Understand Consonance and Dissonance
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85. Math, Music, Neuroscience, and Fear - an Interview with Musician Levi McClain
2024/02/13
Listen to episodes commercial Free on Patreon at patreon.com/breakingmath We are joined today by content creator Levi McClain to discuss the mathematics behind music theory, neuroscience, and human experiences such as fear as they relate to audio processing. For a copy of the episode transcript, email us at BreakingMathPodcast@gmail.com. For more in depth discussions on these topics and more, check out Levi's channels at: Patreon.com/LeviMcClain youtube.com/@LeviMcClain Tiktok.com/@levimcclain Instagram.com/levimcclainmusic Become a supporter of this podcast: https://www.spreaker.com/podcast/breaking-math-podcast--5545277/support.
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84. (Part 2) Intelligence in Nature v. Machine Learning - an Interview with Brit Cruise
2024/02/06
Part 2/2 of the interview with Brit Cruise, creator of the YouTube channel "Art of the Problem," about interesting mathematics,, electrical and computer engineering problems. In Part 1, we explored what 'intelligence' may be defined as by looking for examples of brains and proto-brains found in nature (including mold, bacteria, fungus, insects, fish, reptiles, and mammals). In Part 2, we discuss aritifical neural nets and how they are both similar different from human brains, as well as the ever decreasing gap between the two. Brit's YoutTube Channel can be found here: Art of the Problem - Brit Cruise Transcript will be made available soon! Stay tuned. You may receive a transcript by emailing us at breakingmathpodcast@gmail.com. Become a supporter of this podcast: https://www.spreaker.com/podcast/breaking-math-podcast--5545277/support.
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83. Intelligence in Nature v. Machine Learning-An Interview with Brit Cruise - Part 1 of 2
2024/01/30
In this episode (part 1 of 2), I interview Brit Cruise, creator of the YouTube channel 'Art of the Problem.' On his channel, he recently released the video "ChatGPT: 30 Year History | How AI learned to talk." We discuss examples of intelligence in nature and what is required in order for a brain to evolve at the most basic level. We use these concepts to discuss what artificial intelligence - such as Chat GPT - both is and is not. Become a supporter of this podcast: https://www.spreaker.com/podcast/breaking-math-podcast--5545277/support.
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82. A.I. and Materials Discovery - an Interview with Taylor Sparks
2024/01/21
How is Machine Learning being used to further original scientific discoveries? Transcripts of this episode are avialable upon request. Email us at BreakingMathPodcast@gmail.com. A link to the paper discussed in this episode can be found here--> Digital Discovery - Generative adversarial networks and diffusion models in material discovery In this episode Gabriel Hesch interviews Taylor Sparks, a professor of material science and engineering, about his recent paper on the use of generative modeling a.i. for material disovery. The paper is published in the journal Digital Discovery and is titled 'Generative Adversarial Networks and Diffusion MOdels in Material Discovery. They discuss the purpose of the call, the process of generative modeling, creating a representation for materials, using image-based generative models, and a comparison with Google's approach. They also touch on the concept of conditional generation of materials, the importance of open-source resources and collaboration, and the exciting developments in materials and AI. The conversation concludes with a discussion on future collaboration opportunities. Takeaways Generative modeling is an exciting approach in materials science that allows for the prediction and creation of new materials.Creating a representation for materials, such as using the crystallographic information file, enables the application of image-based generative models.Google's approach to generative modeling received attention but also criticism for its lack of novelty and unconditioned generation of materials.Open-source resources and collaboration are crucial in advancing materials informatics and machine learning in the field of materials science. Become a supporter of this podcast: https://www.spreaker.com/podcast/breaking-math-podcast--5545277/support.
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In Memory of Sofia Baca, Cofounder and cohost of Breaking Math
2024/01/11
In October of 2023, Sofia Baca passed away unexpectedly from natural causes. Sofia was one of the founders and cohosts of the Breaking Math Podcast. In this episode, host Gabriel Hesch interviews Diane Baca, mother of Sofia Baca as we talk about her passions for creativity, mathematics, science, and discovering what it means to be human. Sofia lived an exceptional life with explosive creativity, a voracious passion for mathematics, physics, computer science, and creativity. Sofia also struggled immensely with mental health issues which included substance abuse as well as struggling for a very long time understand the source of their discontent. Sofia found great happiness in connecting with other people through teaching, tutoring, and creative expression. The podcast will continue in honor of Sofia. There are many folders of ideas that Sofia left with ideas for the show or for other projects. We will continue this show with sharing some of these ideas, but also with sharing stories of Sofia - including her ideas and her struggles in hopes that others may find solace in that they are not alone in their struggles. But also in hopes that others may find inspiration in what Sofia had to offer. We miss you dearly, Sofia. Become a supporter of this podcast: https://www.spreaker.com/podcast/breaking-math-podcast--5545277/support.
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81: Correct. Now Try Again (Multiple Approaches to the Same Problem)
2023/07/24
Join Sofía Baca and her guests, the host and co-host of the Nerd Forensics podcast, Millicent Oriana and Jacob Urban, as they explore what it means to be able to solve one problem in multiple ways. This episode is distributed under a Creative Commons Attribution-ShareAlike 4.0 International License. For full text, visit: https://creativecommons.org/licenses/by-sa/4.0/ [Featuring: Sofía Baca; Millicent Oriana, Jacob Urban[ Become a supporter of this podcast: https://www.spreaker.com/podcast/breaking-math-podcast--5545277/support.
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80: Physical Dimension (Dimensional Analysis)
2023/06/26
The history of mathematics, in many ways, begins with counting. Things that needed, initially, to be counted were, and often still are, just that; things. We can say we have twelve tomatoes, or five friends, or that eleven days have passed. As society got more complex, tools that had been used since time immemorial, such as string and scales, became essential tools for counting not only concrete things, like sheep and bison, but more abstract things, such as distance and weight based on agreed-upon multiples of physical artifacts that were copied. This development could not have taken place without the idea of a unit: a standard of measuring something that defines what it means to have one of something. These units can be treated not only as counting numbers, but can be manipulated using fractions, and divided into arbitrarily small divisions. They can even be multiplied and divided together to form new units. So where does the idea of a unit come from? What's the difference between a unit, a dimension, and a physical variable? And how does the idea of physical dimension allow us to simplify complex problems? All of this and more on this episode of Breaking Math. Distributed under a CC BY-SA 4.0 International License. For full text, visit: https://creativecommons.org/licenses/by-sa/4.0/ [Featuring: Sofía Baca; Millicent Oriana, Jacob Urban] Become a supporter of this podcast: https://www.spreaker.com/podcast/breaking-math-podcast--5545277/support.
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79: 1 2 3 (Counting)
2023/06/08
Join Sofia Baca and Nerd Forensics co-host Jacob Urban as they discuss all things counting! Counting is the first arithmetic concept we learn, and we typically learn to do so during early childhood. Counting is the basis of arithmetic. Before people could manipulate numbers, numbers had to exist. Counting was first done on the body, before it was done on apparatuses outside the body such as clay tablets and hard drives. However, counting has become an invaluable tool in mathematics itself, as became apparent when counting started to be examined analytically. How did counting begin? What is the study of combinatorics? And what can be counted? All of this and more, on this episode of Breaking Math. This episode is distributed under a Creative Commons Attribution-ShareAlike 4.0 International License (full text: https://creativecommons.org/licenses/by-sa/4.0/) [Featuring: Sofia Baca; Jacob Urban] Become a supporter of this podcast: https://www.spreaker.com/podcast/breaking-math-podcast--5545277/support.
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78: Perpetual Notion (Entropy and Thermodynamics)
2023/05/09
As you listen to this episode, you'll be exerting mental effort, as well as maybe exerting effort doing other things. The energy allowing your neurons to continually charge and discharge, as well as exert mechanical energy in your muscles and chemical energy in places like your liver and kidneys, came from the food you ate. Specifically, it came from food you chewed, and then digested with acid and with the help of symbiotic bacteria. And even if that food you're eating is meat, you can trace its energy back to the sun and the formation of the earth. Much of this was established in the previous episode, but this time we're going to explore a fundamental property of all systems in which heat can be defined. All of these structures had a certain order to them; the cow that might have made your hamburger had all the same parts that you do: stomach, lips, teeth, and brain. The plants, such as the tomatoes and wheat, were also complex structures, complete with signaling mechanisms. As you chewed that food, you mixed it, and later, as the food digested, it became more and more disordered; that is to say, it became more and more "shuffled", so to speak, and at a certain point, it became so shuffled that you'd need all the original information to reconstruct it: reversing the flow of entropy would mean converting vomit back into the original food; you'd need all the pieces. The electrical energy bonding molecules were thus broken apart and made available to you. And, if you're cleaning your room while listening to this, you are creating order only at the cost of destroying order elsewhere, since you are using energy from the food you ate. Even in industrial agriculture where from 350 megajoules of human and machine energy, often 140 gigajoules of corn can be derived per acre, a ratio of more than 400:1, the order that the seeds seem to produce from nowhere is constructed from the energy of the chaotic explosion from a nearby star. So why are the concepts of heat, energy, and disorder so closely linked? Is there a general law of disorder? And why does the second law mean you can't freeze eggs in a hot pan? All of this and more on this episode of Breaking Math. Distributed under a CC BY-SA 4.0 License (https://creativecommons.org/licenses/by-sa/4.0/) [Featuring: Sofia Baca; Millicent Oriana, Jacob Urban] Become a supporter of this podcast: https://www.spreaker.com/podcast/breaking-math-podcast--5545277/support.
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77: An Interview with Christopher Roblesz of MathNMore
2023/02/28
Christopher Roblesz is a math educator who, until the pandemic, worked as a teacher. It was his experiences during the pandemic, and his unwavering passion for preparing disadvantaged youth for STEM careers, that eventually led him to developing mathnmore, a company focused on providing an enriched educational experience for sstudents who are preparing for these careers.More on energy and entropy next time!All of this and more on this interview episode of Breaking Math! [Featuring: Sofia Baca; Christopher Roblesz] Become a supporter of this podcast: https://www.spreaker.com/podcast/breaking-math-podcast--5545277/support.
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Podcast reviews

Read Breaking Math Podcast podcast reviews


4 out of 5
315 reviews
thelessyouknow 2021/12/13
1 episode in but
It’s great! Please keep it up. Love it. Listening to Feeling Lucky rn, probability and chance is so interesting.
frivolousjosh 2023/02/24
SO many ADs!
Wow, I’m all for using advertising to monetize content, but the first five minutes was a deluge.
jackson7878 2022/05/27
Off topic
When the hosts talk about actual math, the podcast is informative and interesting. When they begin speculating on non mathematical topics (elitism, h...
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zh@nzheng 2021/12/18
Seriously?
How can a podcast about math have two dudes who can’t properly pronounce the name of Kurt Godel??
super nova😍☺️ 2021/06/05
Math!➕➕
What I love about this podcast is I love how that solve problems and I learn about this podcast is so good but it tells me like division subtraction m...
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Joshuausher 2021/03/20
Thanks, Universal Network Effect!
I can’t believe I found this - quintessentially lending a session to each of the burgeoning questions I’ve spent the pandemic on a sojourn just to col...
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Prankin5 2021/02/14
Unique brilliance
These two fellows have a wonderful and unique perspective on the philosophy of math and its role in the human and seeing how our history and many othe...
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KingsGuy08472 2020/09/17
LISTEN UP BUDDIES!
NOWWW! lol
johnnerbonner 2021/02/11
Cut
These guys have a lot of superfluous content. They need a good editor
kennie7 2020/08/19
Worst
He just makes up facts.
check all reviews on aple podcasts

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