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. <a target="_blank" rel="noopener noreferrer nofollow" href="https://baincapitalventures.com/">https://baincapitalventures.com/</a> X: @BainCapVC @slaterstich

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

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. <a href="https://baincapitalventures.com/" rel="noopener noreferrer">https://baincapitalventures.com/</a> X: @BainCapVC @slaterstich

Yang Song

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.

Technology

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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Yang Song

Yang Song