Live data from Hacker News

ChatGPT Images 2.0

openai.com

711–720 of 1001 posts

Re: ChatGPT Images 2.0

#711

Earlier quoted context omitted.

I have an alternative! Regulation. A government can simply regulate what is and isn't legal, and in most of the world, that's been what governments do. I'm sure a country like the US, which is filled with lawyers, can come up with a couple laws, and find some goons to enforce it, that cannot possibly be that hard when other countries can figure it out too.

Who would lobby that? On the other hand there are a lot of entities that will lobby against this.

Again, somehow other governments in the world have figured out how to do things for the people, without a company having to lobby for it. For example USB-C ports on all devices, I don't think Xiaomi lobbied with billions and that's why the EU decided that.

If companies control the government, then that's not a government, that's a group of companies.

Re: ChatGPT Images 2.0

#714
post #161

Earlier quoted context omitted.

AI for textures for over a decade? What AI?

Efros–Leung, PatchMatch? Nearest neighbours was "AI" before difusion models.

Don't you think it's a huge stretch to compare those to modern generative AI in this context? Those don't raise any of the questions that make current usage questionable.

Re: ChatGPT Images 2.0

#716
post #689

Earlier quoted context omitted.

Yeah I dunno bud, I have a degree in film and three Emmy awards for technical production (an expert), I could shoot that prompt (unlike the so called "expert" in the skit). Canon EF 100mm Macro USM at f32 should be able to produce that, focus doesn't need to imply aperture, and a quick google search shows me there are loads of front gear pocket watches available. Also it produced something very clearly not shot with…

Yeah I dunno bud, I've watched a few watch repair videos on youtube and have seen macro photography which other people did. Sure there are pocket watches where the movement is visible from the front (you'd still likely service them from the back, but alas). Even if you'd do service from the front where the glass is, you'd still have to remove it to drop in a gear. Anyway, I think that we aren't really talking about t…

Reasonable people can disagree - I think you made some good points, I've been sitting for the last 20 minutes wondering where the DoF at 32 on a 100 runs out, maybe you're right I'm not 100% sure.

The prompt I did mostly to see how it does with the gears and the tweezers, and the perspective of the gears (do they.. I don't know the opposite word of distort, straighten?, but do they seem like they're actually round, could they work?) I think those are really hard things for AI, the glass distortion, reflections the DoF etc were just to see how it approached that, and like the other comment below said, I tried to pick something that that wasn't likely to be in training data, so it reasoned about it more.

Nano was able to spit it out consistently, Images 2 really struggles, and has yet to complete one I was satisfied with, whereas with nano it nails it almost every time, the 2 images I showed originally are the first shot of the prompt with the models. (here are the 3 other gens from Images2: https://drive.google.com/drive/folders/1s8gik_x0B-xDZO6rOqoz...)

How would I shoot it? I wouldn't, fixing a watch in water is a dumb idea. ;)

Re: ChatGPT Images 2.0

#717

Earlier quoted context omitted.

Repeat ad infinitum through history. Old ways of making a living getting commoditised is just the price of technological progress. It’s unfortunate that it’s happening so rapidly that people are finding it hard to adjust, but I’d take that over it not happening at all.

Do the ends always justify the means?

Not in every instance, but in aggregate technological progress has clearly been beneficial.

Just look at living conditions, infant mortality, life expectancy or education.

You could be anywhere on the planet relative to me and I can talk to you for free, instantaneously at any time. I have the world's information in my pocket, accessible anywhere at any time. I could go on!

Re: ChatGPT Images 2.0

#719

Every cent you spend on this, remember: The people who made this possible are not even getting a millionth of a cent for every billion USD made with it (they are getting nothing). Same with code; that code you spent years pouring over, fixing, etc. is now how these companies make so much money and get so much investment. It's like open source, except you get shafted.

This is, in my opinion, attempting to say the right thing with entirely the wrong perspective:

The people you say are getting "shafted" always got shafted. Their works are the inspiration for all artists and people who lay their eyes on it - maybe they got paid when they made the work, maybe they managed to sell it, but probably not. And still, other artists (and machines) will use remember and be inspired by it, sometimes to the point of verbatim copy (which is extremely common for human artists as well, with verbatim copy and replication being an actual sought after skill).

(Those about to shout "LICENSING", that's a very new invention and we're terrible at it. What are you going to do, cut out the part of your brain that formed new connections while touching GPL code?)

The person (singular) that is actually getting "shafted" at each use is the artist you didn't hire to do the job of making your new work, because it is their skill that got replaced. A skill build from a lifetime of studying other art and practicing themselves, replaced with a skill build from a machine studying other art and by virtue of some closed loops likely also "practicing" itself.

Still, shafting at large, but the obsession with training data is misplaced in that it entirely ignores how society and art worked beforehand.

At the same time, for most of the things you're likely using the tool for, there would probably would never have been an artist in the first place. For example, if you're just making your powerpoint prettier, or if your commission is ridiculous as it often is and yet only willing to offer a single-digit dollar sum per work which no artist should take (RIP the poor souls that take such work anyway).

Re: ChatGPT Images 2.0

#720

Earlier quoted context omitted.

If "people who made this possible" were getting their fair share, "a millionth of a cent for every billion USD made with it" would be about it for the artists. What makes the dataset valuable isn't that the image 0012992 in it is precious and irreplaceable. It's that the index goes to seven digits. Pre-training is very much a matter of scale - and scraping is merely the easiest way to get data at scale. People who co…

The ideal world would be one where, to train on art, you have to buy a license to that art. Sure, for most artists they would maybe put a low price tag, but that isn't the point. The point isn't about money. It's that copies were made, without license and without permission, and without any legal right to do so, of art, and then used to train a system which generates similar art. The first step, the copy, is illegal…

Ideal for whom? For society in general, I don’t think so.
Post reply on HN