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The AI-First Graphics Editor - with Suhail Doshi of Playground AI

20 Dec 2023 23 published claims 3 attributable people

Speakers in the public record

Claim mix

belief 10evaluation 4uncertainty 3preference 2commitment 2prediction 2

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Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.

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The useful parts, with receipts.

23 published records

04 / uncertainty

I don't know. It might be worth like wondering like why not everyone is going to mosaic and perhaps it's still, I just think it's nascent and perhaps mosaic will come through.

“I don't know. It might be worth like wondering like why not everyone is going to mosaic and perhaps it's still, I just think it's nascent and perhaps mosaic will come through.”
Speaker
Suhail Doshi
Publisher
Latent Space

05 / belief

I think like a lot of that style kind of emerges after that week, where you start to see, you know, there's some styles that are very like well known to us, like maybe like pixel art is a well known style.

“I think like a lot of that style kind of emerges after that week, where you start to see, you know, there's some styles that are very like well known to us, like maybe like pixel art is a well known style.”
Speaker
Suhail Doshi
Publisher
Latent Space

09 / belief

I think everyone on the team, if they don't have good kind of like judgment taste or like an eye for some of these things, they're like steadily building it because they have no choice.

“I think everyone on the team, if they don't have good kind of like judgment taste or like an eye for some of these things, they're like steadily building it because they have no choice.”
Speaker
Suhail Doshi
Publisher
Latent Space

11 / uncertainty

I don't know what company would form as a result of this, but there's some very difficult problems, like a true actual, not a meta world model, but an actual world model that truly maps everything that's going in terms of like physics and fluids and all these various kinds of interactions.

“I don't know what company would form as a result of this, but there's some very difficult problems, like a true actual, not a meta world model, but an actual world model that truly maps everything that's going in terms of like physics and fluids and all these various kinds of interactions.”
Speaker
Suhail Doshi
Publisher
Latent Space

12 / belief

I find the DevOps for inference to be relatively easy. It doesn't feel that different than, you know, I think we had thousands and thousands of servers at Mixpanel just for dealing with the API.

“I find the DevOps for inference to be relatively easy. It doesn't feel that different than, you know, I think we had thousands and thousands of servers at Mixpanel just for dealing with the API.”
Speaker
Suhail Doshi
Publisher
Latent Space

13 / belief

Ah, yeah, yeah, yeah. They'll do things like, you know, I think a lot of ARs will do control net tiling to do kind of generative upscaling of all these different pieces of the image.

“Ah, yeah, yeah, yeah. They'll do things like, you know, I think a lot of ARs will do control net tiling to do kind of generative upscaling of all these different pieces of the image.”
Speaker
Suhail Doshi
Publisher
Latent Space

14 / evaluation

One of the problems with Mighty was that JavaScript is single-threaded in the browser. And what we learned, you know, the reason why we kind of abandoned Mighty was because I didn't believe we could make a new kind of computer.

“One of the problems with Mighty was that JavaScript is single-threaded in the browser. And what we learned, you know, the reason why we kind of abandoned Mighty was because I didn't believe we could make a new kind of computer.”
Speaker
Suhail Doshi
Publisher
Latent Space

16 / evaluation

Yeah. So I think at that time, Mighty and OpenAI was not quite as popular as it is all of a sudden now these days, but back then they had a lot more bandwidth to kind of help anybody.

“Yeah. So I think at that time, Mighty and OpenAI was not quite as popular as it is all of a sudden now these days, but back then they had a lot more bandwidth to kind of help anybody.”
Speaker
Suhail Doshi
Publisher
Latent Space

17 / commitment

I think we will try to publish a benchmark that anyone could use, that we evaluate ourselves on and that other people can, that we think does a good job of approximating real world performance because we've tried it and done it and noticed that it did.

“I think we will try to publish a benchmark that anyone could use, that we evaluate ourselves on and that other people can, that we think does a good job of approximating real world performance because we've tried it and done it and noticed that it did.”
Speaker
Suhail Doshi
Publisher
Latent Space

18 / prediction

It just really feels like just data set filtering and systems engineering and just like, you know, and the recipe is all there, but it's like a lot of extra work to do that. I think we plan to do a Playground V 2.

“It just really feels like just data set filtering and systems engineering and just like, you know, and the recipe is all there, but it's like a lot of extra work to do that. I think we plan to do a Playground V 2.”
Speaker
Suhail Doshi
Publisher
Latent Space

20 / evaluation

We're still at the beginning of building like the best benchmark we can that aligns most with just user happiness, I think, because we're not we're not like putting these in papers and trying to like win, you know, I don't know, awards at ICCV or something if they have awards.

“We're still at the beginning of building like the best benchmark we can that aligns most with just user happiness, I think, because we're not we're not like putting these in papers and trying to like win, you know, I don't know, awards at ICCV or something if they have awards.”
Speaker
Suhail Doshi
Publisher
Latent Space

21 / preference

Maybe this is the best reason why it can be helpful to not be a researcher also sometimes like I'm not trained as a researcher, I don't have a PhD in anything AI related, for example. But I think if you care about products and you care about your users, then the most important thing that you want to figure out is like everyone has to acknowledge that Midjourney is very good.

“Maybe this is the best reason why it can be helpful to not be a researcher also sometimes like I'm not trained as a researcher, I don't have a PhD in anything AI related, for example. But I think if you care about products and you care about your users, then the most important thing that you want to figure out is like everyone has to acknowledge that Midjourney is very good.”
Speaker
Suhail Doshi
Publisher
Latent Space

22 / evaluation

Like when people are building out tools because the existing open source stuff doesn't work and everyone's doing their own bespoke thing, you know, there's a valuable company to be formed.

“Like when people are building out tools because the existing open source stuff doesn't work and everyone's doing their own bespoke thing, you know, there's a valuable company to be formed.”
Speaker
Suhail Doshi
Publisher
Latent Space
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