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Getty Images and Shutterstock to Merge

newsroom.gettyimages.com

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Re: Getty Images and Shutterstock to Merge

#93

Somebody should just scrape all the most popular images from getty then setup a pipeline to regenerate them with flux/controlnet/loras. Charge $10/mo for unlimited licensing or find ancillary way to generate revenue. If most of revenue comes from editorial images start there-- most people won't even care if it's a bit off.

[deleted]

Re: Getty Images and Shutterstock to Merge

#94

Shutterstock and Getty do not make money from their stock photography catalog, most of their revenue comes from maintaining exclusive contracts for editorial content (news photos, videos, etc) and selling licenses to those assets. Someone could easily displace them as they haven’t done anything with their companies but shrink contributor earnings and buy out smaller stock asset companies in the last decade. Shutterst…

> There is no innovation at the company, just a set of long time engineers and their niche microservice and a rotating door of C-suite looking to collect a bonus from operating capital from layoffs. I do not see anything that actually benefits them being a publicly traded corporation or reasons they deliver actual shareholder value, but they soldier on.

They don't care.

> I do not see anything that actually benefits them being a publicly traded corporation or reasons they deliver actual shareholder value, but they soldier on.

Well they should have already known that OpenAI (and others) have license agreements directly from Shutterstock to train AI models such as DALL-E 3 (or DALL-E 4) and that is of interest to Getty to own the rights to the images.

Stability AI has close to no choice but to settle their lawsuit against them.

Re: Getty Images and Shutterstock to Merge

#95

Anecdotal, but I haven't bought a stock image since Stable Diffusion was released. Edit: with Flux, you can't even tell the difference: https://blackforestlabs.ai/

The "ee" in "Coffee" is a different shape, the tie of the no-longer-in-a-suit guy changes style midway and the pockets of the woman for the depth example don't match.

I'll agree that people who don't care about sewing and calligraphy probably won't notice, but there's a difference between "you can't even tell" and "you can't even tell as long as you don't care too much about the result".

Re: Getty Images and Shutterstock to Merge

#97

Anecdotal, but I haven't bought a stock image since Stable Diffusion was released. Edit: with Flux, you can't even tell the difference: https://blackforestlabs.ai/

There are plenty of businesses that think the same way and every time I see an ad with an image that's clearly AI-generated I steer clear of it. It looks cheap, hits the uncanny valley and is often a good sign of lowest effort possible.

Stock photos always looked cheap anyway.

Both low talent AI use and stock photos have their own look about them and neither is premium.

Re: Getty Images and Shutterstock to Merge

#98

Shutterstock and Getty do not make money from their stock photography catalog, most of their revenue comes from maintaining exclusive contracts for editorial content (news photos, videos, etc) and selling licenses to those assets. Someone could easily displace them as they haven’t done anything with their companies but shrink contributor earnings and buy out smaller stock asset companies in the last decade. Shutterst…

They also make money by chasing down people who use their images without paying a license (fair) by "extortion".

Once my co-founder used an image downloaded from Google (bad!) for the company website, GettyImages noticed that and threatened our company to legal actions (C&D) unless we pay the price of the license for the stock image, which magically became "premium" (or whatever their top tier is) for the occasion.

They're for sure right in making you pay in case you're illegitimately using their images without a license (totally fair IMHO), but the way they do it is very shady.

Re: Getty Images and Shutterstock to Merge

#100
post #65
post #54

Earlier quoted context omitted.

Survivor bias. In that, you're reacting only to the images you assume are AI. It could be you're really good at spotting them, or they're really bad. But it could also be you spot a tiny proportion, or even misidentify real images as AI. Without knowing the real rate, it tells us nothing about whether picking AI images over stock images is a good tradeoff or not.

Oh, please. I've generated many, many images. They are not hard to spot.

Much respect, but nowadays, unless the person put basically zero effort to make it look realistic, there's no way you can detect whether an image is AI or not while quick scrolling. Obviously, if you look at every image as "let me examine every part of it to see if it's AI or not" mindset, you can still spot them. But anyone who spent a few days playing with the latest gen models, can create images that pass the 90% of sniff tests.
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