This is a follow up on our previous episode on <a href="https://www.youtube.com/watch?v=LqQe3Fy9T9Y&t=611s">OpenAi's SORA</a>. We attempt to answer the question, "Can OpenAi's SORA model real-world physics?" We go over the details of the technical report, we discuss some controversial opinoins by experts in the field at Nvdia and Google's Deep Mind. The transcript for episode is avialable below upon request. Help Support The Podcast by clicking on the links below:<ul> <li>Try out ZenCastr:   <a href="https://zen.ai/1e7eBWWMLcSL_G10VxiSlQ">Use my special link  ZenCastr Discount to save 30% off your first month of any Zencastr paid plan</a> </li> <li>Patreon Link:  All content is available commercial free on <a href="http://www.patreon.com/breakingmath">patreon</a> </li> <li>YouTube Channel:  Enjoy this content? <a href="https://www.youtube.com/@breakingmathpod">subscribe to our YouTube Channel</a></li></ul>

This is a follow up on our previous episode on OpenAi's SORA. We attempt to answer the question, "Can OpenAi's SORA model real-world physics?" We go over the details of the technical report, we discuss some controversial opinoins by experts in the field at Nvdia and Google's Deep Mind. The transcript for episode is avialable below upon request. Help Support The Podcast by clicking on the links below: Try out ZenCastr: Use my special link ZenCastr Discount to save 30% off your first month of any Zencastr paid plan Patreon Link: All content is available commercial free on patreon YouTube Channel: Enjoy this content? subscribe to our YouTube Channel

This is a follow up on our previous episode on <a href="https://www.youtube.com/watch?v=LqQe3Fy9T9Y&amp;t=611s" rel="noopener noreferrer">OpenAi's SORA</a>. We attempt to answer the question, "Can OpenAi's SORA model real-world physics?"&nbsp;We go over the details of the technical report, we discuss some controversial opinoins by experts in the field at Nvdia and Google's Deep Mind.&nbsp;The transcript for episode is avialable below upon request. Help Support The Podcast by clicking on the links below:<ul> <li>Try out ZenCastr: &nbsp;&nbsp;<a href="https://zen.ai/1e7eBWWMLcSL_G10VxiSlQ" rel="noopener noreferrer">Use my special link &nbsp;ZenCastr Discount to save 30% off your first month of any Zencastr paid plan</a> </li> <li>Patreon Link: &nbsp;All content is available commercial free on <a href="http://www.patreon.com/breakingmath" rel="noopener noreferrer">patreon</a> </li> <li>YouTube Channel: &nbsp;Enjoy this content? <a href="https://www.youtube.com/@breakingmathpod" rel="noopener noreferrer">subscribe to our YouTube Channel</a></li></ul>

88.  Can OpenAi's SORA learn and model real-world physics? (Part 1 of n)

Breaking Math is a deep-dive science, technology, engineering, AI, and mathematics podcast that explores the world through the lens of logic, patterns, and critical thinking. Hosted by Autumn Phaneuf, an expert in industrial engineering, operations research and applied mathematics, and Gabriel Hesch, an electrical engineer (host from 2016-2024) with a passion for mathematical clarity, the show is dedicated to uncovering the mathematical structures behind science, engineering, technology, and the systems that shape our future.What began as a conversation about math as a pure and elegant discipline has evolved into a platform for bold, interdisciplinary dialogue. Each episode of Breaking Math takes listeners on an intellectual journey—whether it’s into the strange beauty of chaos theory, the ethical dilemmas of AI, the deep structures of biological evolution, or the thermodynamics of black holes. Along the way, Autumn and Gabriel interview leading thinkers and working scientists from across the spectrum: computer scientists, quantum physicists, chemists, philosophers, neuroscientists, and more.But this isn’t just a podcast about equations—it’s a show about how mathematics influences the way we think, create, build, and understand. Breaking Math pushes back against the idea that STEM belongs behind a paywall or an academic podium. It’s for the curious, the critical, the creative—for anyone who believes that ideas should be rigorous, accessible, and infused with wonder.If you've ever wondered:<ul> <li>What’s the math behind machine learning?</li> <li>How do we quantify uncertainty in climate models?</li> <li>Can consciousness be described in AI?</li> <li>Why does beauty matter in an equation?</li></ul>Then you’re in the right place.At its heart, Breaking Math is about building bridges—between disciplines, between experts and the public, and between the abstract world of mathematics and the messy, magnificent reality we live in. With humor, clarity, and deep respect for complexity, Autumn and Gabriel invite you to rethink what math can be—and how it can help us shape a better future.Listen wherever you get your podcasts. Website: <a href="https://breakingmath.io/">https://breakingmath.io</a> Linktree: <a href="https://linktr.ee/breakingmathmedia">https://linktr.ee/breakingmathmedia</a> Email: breakingmathpodcast@gmail.com

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Technology

Mathematics

Breaking Math is a deep-dive science, technology, engineering, AI, and mathematics podcast that explores the world through the lens of logic, patterns, and critical thinking. Hosted by Autumn Phaneuf, an expert in industrial engineering, operations research and applied mathematics, and Gabriel Hesch, an electrical engineer (host from 2016-2024) with a passion for mathematical clarity, the show is dedicated to uncovering the mathematical structures behind science, engineering, technology, and the systems that shape our future. What began as a conversation about math as a pure and elegant discipline has evolved into a platform for bold, interdisciplinary dialogue. Each episode of Breaking Math takes listeners on an intellectual journey—whether it’s into the strange beauty of chaos theory, the ethical dilemmas of AI, the deep structures of biological evolution, or the thermodynamics of black holes. Along the way, Autumn and Gabriel interview leading thinkers and working scientists from across the spectrum: computer scientists, quantum physicists, chemists, philosophers, neuroscientists, and more. But this isn’t just a podcast about equations—it’s a show about how mathematics influences the way we think, create, build, and understand. Breaking Math pushes back against the idea that STEM belongs behind a paywall or an academic podium. It’s for the curious, the critical, the creative—for anyone who believes that ideas should be rigorous, accessible, and infused with wonder. If you've ever wondered: What’s the math behind machine learning? How do we quantify uncertainty in climate models? Can consciousness be described in AI? Why does beauty matter in an equation?Then you’re in the right place. At its heart, Breaking Math is about building bridges—between disciplines, between experts and the public, and between the abstract world of mathematics and the messy, magnificent reality we live in. With humor, clarity, and deep respect for complexity, Autumn and Gabriel invite you to rethink what math can be—and how it can help us shape a better future. Listen wherever you get your podcasts. Website: https://breakingmath.io Linktree: https://linktr.ee/breakingmathmedia Email: breakingmathpodcast@gmail.com

Breaking Math is a deep-dive science, technology, engineering, AI, and mathematics podcast that explores the world through the lens of logic, patterns, and critical thinking. Hosted by Autumn Phaneuf, an expert in industrial engineering, operations research and applied mathematics, and Gabriel Hesch, an electrical engineer (host from 2016-2024) with a passion for mathematical clarity, the show is dedicated to uncovering the mathematical structures behind science, engineering, technology, and the systems that shape our future.What began as a conversation about math as a pure and elegant discipline has evolved into a platform for bold, interdisciplinary dialogue. Each episode of Breaking Math takes listeners on an intellectual journey—whether it’s into the strange beauty of chaos theory, the ethical dilemmas of AI, the deep structures of biological evolution, or the thermodynamics of black holes. Along the way, Autumn and Gabriel interview leading thinkers and working scientists from across the spectrum: computer scientists, quantum physicists, chemists, philosophers, neuroscientists, and more.But this isn’t just a podcast about equations—it’s a show about how mathematics influences the way we think, create, build, and understand. Breaking Math pushes back against the idea that STEM belongs behind a paywall or an academic podium. It’s for the curious, the critical, the creative—for anyone who believes that ideas should be rigorous, accessible, and infused with wonder.If you've ever wondered:<ul> <li>What’s the math behind machine learning?</li> <li>How do we quantify uncertainty in climate models?</li> <li>Can consciousness be described in AI?</li> <li>Why does beauty matter in an equation?</li></ul>Then you’re in the right place.At its heart, Breaking Math is about building bridges—between disciplines, between experts and the public, and between the abstract world of mathematics and the messy, magnificent reality we live in. With humor, clarity, and deep respect for complexity, Autumn and Gabriel invite you to rethink what math can be—and how it can help us shape a better future.Listen wherever you get your podcasts. Website: <a href="https://breakingmath.io/" rel="noopener noreferrer">https://breakingmath.io</a> Linktree: <a href="https://linktr.ee/breakingmathmedia" rel="noopener noreferrer">https://linktr.ee/breakingmathmedia</a> Email: breakingmathpodcast@gmail.com

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88. Can OpenAi's SORA learn and model real-world physics? (Part 1 of n)

88. Can OpenAi's SORA learn and model real-world physics? (Part 1 of n)

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