Public evidence record
Published podcast speaker
Claim ledger
18 transcript-backed records
01 / belief
“Yeah, I think I haven't spent a lot of time thinking about Mixpanel because it's been a long time, but sometimes I'm like, oh, I wonder what we could do now.”
02 / 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.”
03 / 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.”
04 / belief
“I think that'll be short-lived because I think the complexity of these things is going to get higher.”
05 / belief
“I think that's like a very hard task that, you know, if you could do something like that, then there's a lot of other possibilities.”
06 / 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.”
07 / 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.”
08 / 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.”
09 / 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.”
10 / 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.”
11 / 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.”
12 / 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.”
13 / 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.”
14 / prediction
“I think when we have a significantly better model, we will certainly build something that gets closer to that.”
15 / 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.”
16 / 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.”
17 / 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.”
18 / commitment
“Because if you are going to do it, just let me know and I will stop and I'll go do something else.”