DALL·E now available in beta

Post by commandlinefan » Wed, Jul 20, 2022, 9:50 PM UTC

peteforde wrote: post #228

I have been having a blast with DALL-E, spending about an hour a day trying out wild combinations and cracking my friends up. I cannot imagine getting bored of it; it's like getting bored with visual stimulus, or art in general. In fact, I've been glad to have a 50/day limit, because it helps me contain my hyperfocus instincts. The information about new pricing is, to me as someone just enjoying making crazy imagines…

Post by biztos » Wed, Jul 20, 2022, 9:51 PM UTC

tiborsaas wrote: post #261

bemmu wrote: post #58

I was supposed to be making a video game, but got a bit sidetracked when DALL·E came out and made this website on the side: http://dailywrong.com/ (yes I should get SSL). It's like The Onion, but all the articles are made with GPT-3 and DALL·E. I start with an interesting DALL·E image, then describe it to GPT-3 and ask it for an Onion-like article on the topic. The results are surprisingly good.

Thanks, finally a legit news publication :) This was really funny :) http://dailywrong.com/man-finally-comfortable-just-holding-a...

Post by fennecfoxen » Wed, Jul 20, 2022, 9:55 PM UTC

woojoo666 wrote: post #364

dplavery92 wrote: post #348

Earlier quoted context omitted.

In the unCLIP/DALL-E 2 paper[0], they train the encoder/decoder with 650M/250M images respectively. The decoder alone has 3.5B parameters, and the combined priors with the encoder/decoder are the in the neighborhood of ~6B parameters. This is large, but small compared to the name-brand "large language models" (GPT3 et. al.) This means the parameters of the trained model fit in something like 7GB (decoder only, half-p…

> This means the parameters of the trained model fit in something like 7GB (decoder only, half-precision floats) to 24GB (full model, full-precision) > you would probably want an enterprise cloud/data-center GPU like an NVIDIA A100, especially if running batches of more than one image. That doesn't seem so bad. looks up price of NVIDIA A100 - $20,000 oh...ok I'll probably just pay for the service then

Post by [deleted] » Wed, Jul 20, 2022, 9:58 PM UTC

Jerrrry wrote: post #130

protonbob wrote: post #108

Earlier quoted context omitted.

Honestly I would rather that they not try. I don't understand why a computer tool has to be held to a political standard.

There are legitimate reasons to reduce externalizations of societies innate biases. A mortgage AI that calculates premiums for the public shouldn't bias against people with historically black names, for example. This problem is harder to tackle because it is difficult to expose and resign the "latent space" that results in these biases; it's difficult to massage the ML algo's to identify and remove the pathways that…

Post by jazzyjackson » Wed, Jul 20, 2022, 10:00 PM UTC

erikpukinskis wrote: post #305

bequanna wrote: post #209

Earlier quoted context omitted.

> inoffensive tool. Wouldn't that result end up being like "inoffensive art" or "inoffensive comedy"? Bland, boring and Corporate-PC.

Being offensive is only one way to be interesting. There are others, like being clever, or being absurd, or being goofy, or being poignant, or being refreshing. Of the good stuff, offensive humor is only a tiny slice.