
8 segments available
Diffusion is the foundational machine learning framework behind state-of-the-art AI image and video generation, including Sora, Midjourney and Google Veo. In this episode of Decoded, YC General Partner Ankit Gupta sits down with YC Visiting Partner Francois Chaubard to discuss how diffusion works, walk through a code sample, and explain why everyone training models should understand it. Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs Chapters: 00:00 Intro 00:33 What is diffusion? 02:50 What are applications of diffusion today? 04:06 Key innovations 07:01 Code examples 19:25 The "squint test" 22:27 Other areas diffusion is widely accessible 24:49 Outro
"Welcome back to another episode of Decoded. Today I'm sitting down with YC visiting partner Francois Shaard to talk about one of the most important topics in AI today, diffusion. Francois has been doi..."
">> Well, we just got back from Nurups. We just spent a lot of time talking to researchers and thinking about all the newest models out there. Um, I think we saw diffusion pop up over and over and newe..."
"diffusion used for today? What are some applications that it's widely deployed in? >> It's honestly surprising how uh uh applicable this process is. I think the the original 2015 Joshua Sixine paper w..."
">> This class of models has evolved over the years and you know there's a whole slew of papers someone could read. So you should probably go read the papers to learn all the details. But maybe at a hi..."
"code examples? >> Let's do it. >> Let's do it. >> I'll walk you through. I made about uh, one two three four five six seven of these that I implemented um with varying levels of success, but uh, the t..."
"this concept of a squint test. Why don't you define the squint test for a second? Tell me a little about where this comes from and then I'd be curious to hear how you think about diffusion models in t..."
">> People have probably heard of stable diffusion as a very common application of this. people. It's an image generation model that was pretty widely available for the last few years. What people may ..."
"conversation to a head now, how should people think about this research area either as researchers contributing to the field or as founders looking to build a new product? >> Yeah, I mean I would thin..."