The Ledger
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Doshi: Curated data in fine-tuning matters more than vision algorithmic tricks
“I think there are all these, there are like lots of tricks that sometimes get you like 10, 20, sometimes two X improvements. But I think the number one trick is like really just like that last phase of You know, a supervised fine tune where you're finding like…”
Doshi: Playground AI is probably number two in text-to-art
“Maybe like probably like number two, I suspect, I guess at like text to art at the moment, just because we're training these models from scratch, we're getting, we're closing the gap really rapidly as rapidly as we can around all the various like kind of use c…”
Doshi: 3D software tools tend not to make much money
“One issue with three D is that it tends to be better to work on three D. If you're like making the content, like you're making Pixar movies the tools in three D tend to not like make as much money.”
Doshi: EDM noise formulation fixes diffusion models' brightness and contrast issues
“And so we employed this thing called like this EDM formulation, which like samples the noise slightly differently. And it's like a really clever kind of math trick. And there's probably, there's a paper that you could probably read on it. But it, it's surprisi…”
Doshi: Playground AI will differentiate by focusing on image editing
“We'll probably diverge from some of the other companies in part because we care, I think we start, we're going to care a lot more about editing.”
Doshi: Building top image models is far harder than scaling compute and data
“It turns, turns out that, you know, I think when, if, you know, a set of strong engineers, like their first thought is that like, you just take a model architecture, you find a lot of data, you get, you fund yourself with enough compute and you just sort of li…”
Doshi: Current text-to-image models are text-to-art with limited utility
“The difference is that these models have they don't, they haven't quite reached the potential of, like, what maybe what its utility could be. Right now, for the most part, we take, we formulate a prompt, which is really just a caption of what the image is, and…”
Doshi: Video AI models are pre-trained on a billion images first
“And then the other thing with video is like videos is just extraordinarily computationally expensive to do inference or even training on. And a lot of the video models first train, like pre-train with like a billion images first anyway, to like have a rich, Se…”