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 [https://breakingmath.io/]
Linktree: https://linktr.ee/breakingmathmedia
Email: breakingmathpodcast@gmail.com
All content for Breaking Math Podcast is the property of Autumn Phaneuf and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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 [https://breakingmath.io/]
Linktree: https://linktr.ee/breakingmathmedia
Email: breakingmathpodcast@gmail.com
In this conversation, Drs. Gaurav Suri and Jay Mcclelland delves into the intricate relationship between artificial intelligence and human cognition, exploring similarities and differences, the evolution of AI from rule-based systems to learning models, and the concept of emergence in both fields. The discussion also touches on the efficiency of human learning compared to AI, the role of consciousness, and the ethical implications of AI technology.
Takeaways
* AI and human intelligence share similarities in neural network frameworks.
* Artificial systems lack the goal-directed nature inherent in humans.
* Humans learn more efficiently than current AI systems.
* Neural networks can adapt to language nuances better than rule-based systems.
* Emergence explains how collective intelligence arises from individual components.
* Memory in neural networks is represented through connections, not individual units.
* Mathematics is both invented and discovered, shaped by human needs.
* Understanding consciousness is crucial for AI development.
* Human misuse of AI poses significant risks.
* Recognizing ourselves as processes can foster empathy and morality.
Chapters
* 00:00 Introduction and Backgrounds
* 01:00 AI vs Human Mind: Similarities and Differences
* 03:32 The Shift from Rule-Based AI to Learning Systems
* 09:07 Emergence in Cognition: Ant Colonies and Intelligence
* 15:25 Distributed Representations and Memory Storage
* 23:53 The Nature of Memory and Its Malleability
* 25:40 Emergence of Mathematical Concepts
* 29:50 The Invention vs. Discovery Debate in Mathematics
* 32:19 Learning Mechanisms: Brain vs. AI
* 36:48 Consciousness: Function and Implications
* 41:13 AI Risks: Human Misuse vs. AI Autonomy
* 43:45 Living with Emergence: Understanding Ourselves and Others
* 48:22 Exploring the Emergent Mind
Follow Gaurav Suri on LinkedIn [https://www.linkedin.com/in/gaurav-suri-5a68738/]. Follow Jay McClelland on Twitter [https://x.com/JLMcCelland] and find their new book here [https://amzn.to/4hvemEY].
Subscribe to Breaking Math wherever you get your podcasts.
Follow Breaking Math on Twitter [https://x.com/breakingmathpod], Instagram [https://www.instagram.com/breakingmathmedia/], LinkedIn [https://www.linkedin.com/company/breaking-math/], Website [https://breakingmath.io/], YouTube [https://www.youtube.com/@BreakingMathPod], TikTok [https://www.tiktok.com/@breakingmathmedia]
Follow Autumn on Twitter [https://x.com/1autumn_leaf], BlueSky [https://bsky.app/profile/1autumnleaf.bsky.social], and Instagram [https://www.instagram.com/1autumnleaf/]
Become a guest here [https://www.breakingmath.io/contact]
email: breakingmathpodcast@gmail.com
Breaking Math Podcast
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 [https://breakingmath.io/]
Linktree: https://linktr.ee/breakingmathmedia
Email: breakingmathpodcast@gmail.com
