Quite funny to see OpenAI panicking and falling on their own sword, as they were supposed to be 'Open' in the first place and are now being disrupted by open source.
Quite funny to see OpenAI panicking and falling on their own sword, as they were supposed to be 'Open' in the first place and are now being disrupted by open source.
I'd argue they're imperfect, but they don't look like arses. Big gap between the two, too.
https://projects.propublica.org/nonprofits/organizations/810...
100x seems like a pretty generous cap to me.
"Open" is not well-defined.
I'm not saying I agree with them, I'm a software person and open means to me what it means to you. I'd prefer if it was truly open by our definition. But I don't think we can bash the choice of the word so easily.
Well, I can't speak for anyone else, but it makes it wrong for me (and judging by the number of upvotes I got from the original comment, a lot more than just me).
It's not just the code left to an exercise to the reader...it's the training sets. You don't get to trade on the suggestion of "open" while keeping everything closed. They aren't idiots, they knew exactly what they were implying when they picked the name.
What if the training sets are proprietary (as in, they don't have licence to share)? Should they keep the research to themselves just because of that? I don't think that's better than not sharing the training set. It also doesn't mean the research is invalidated - find your own pictures and it's going to work. Same as - find your own plants and it's going to work.
TBH, I just don't see the training set as part of the research... In my case, I'd feed it tons of electronic circuits to try to teach it generate some. Why should I care about some random other pictures? I care about the research and I have my own training sets.
There's no CSS here but you can clearly see the MediaWiki template: https://web.archive.org/web/20090422103636/http://www.wikile...
I agree that Dall-E isn't obsolete. I'd also add MidJourney to that list. All three are great models in their own right with their own pronounced strengths and weaknesses. But when it comes to enabling novel workflows Stable Diffusion seems lightyears ahead of the others.
That's not what that means.