PODCAST · technology
History of Diffusion
by BCV
How did diffusion models go from an obscure research idea to the foundation of modern generative AI? In History of Diffusion, BCV partner Slater Stich sits down with the researchers who shaped the field—Jascha Sohl-Dickstein, Yang Song, and Sander Dieleman—to trace the origins, breakthroughs, and future of diffusion-based AI.From the 2015 paper that started it all to the latest advancements in generative models, this series unpacks the key ideas, challenges, and moments that led to diffusion’s dominance in AI.Whether you’re deep in machine learning research or just want to understand the tech behind tools like MidJourney, DALL·E, and Stable Diffusion, this is a must-listen.
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Sander Dieleman
Research Scientist Sander Dieleman joins BCV Partner Slater Stich to unpack the core mechanics of diffusion models and explore why diffusion has become central to generative AI.https://baincapitalventures.com/ X: @BainCapVC @slaterstich
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Yang Song
Before diffusion models powered tools like DALL·E and MidJourney, they were a niche research idea. In this episode, BCV partner Slater Stich talks with Yang Song about the early bets, surprising math, and big breakthroughs that made diffusion the backbone of generative AI—as well as what’s next. https://baincapitalventures.com/ X: @BainCapVC @slaterstich
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Jascha Sohl-Dickstein
Diffusion models now dominate generative AI, powering MidJourney, DALL·E, Ideogram, Stable Diffusion, and more—but just a few years ago, they were an obscure research idea. In this episode, BCV partner Slater Stich sits down with Jascha Sohl-Dickstein, the researcher behind the foundational 2015 paper that introduced diffusion as a generative model. BCV.comX: @BainCapVC @slaterstich
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ABOUT THIS SHOW
How did diffusion models go from an obscure research idea to the foundation of modern generative AI? In History of Diffusion, BCV partner Slater Stich sits down with the researchers who shaped the field—Jascha Sohl-Dickstein, Yang Song, and Sander Dieleman—to trace the origins, breakthroughs, and future of diffusion-based AI.From the 2015 paper that started it all to the latest advancements in generative models, this series unpacks the key ideas, challenges, and moments that led to diffusion’s dominance in AI.Whether you’re deep in machine learning research or just want to understand the tech behind tools like MidJourney, DALL·E, and Stable Diffusion, this is a must-listen.
HOSTED BY
BCV
CATEGORIES
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Frequently Asked Questions
How many episodes does History of Diffusion have?
History of Diffusion currently has 3 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is History of Diffusion about?
How did diffusion models go from an obscure research idea to the foundation of modern generative AI? In History of Diffusion, BCV partner Slater Stich sits down with the researchers who shaped the field—Jascha Sohl-Dickstein, Yang Song, and Sander Dieleman—to trace the origins, breakthroughs, and...
How often does History of Diffusion release new episodes?
History of Diffusion has 3 episodes. Check the episode list to see recent publication dates and frequency.
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You can listen to History of Diffusion on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
Who hosts History of Diffusion?
History of Diffusion is created and hosted by BCV.
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