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Author Topic: Generative AI Collection of links and important articles, videos, court cases  (Read 58249 times)

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« Reply #300 on: March 05, 2024, 11:04 »
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Just found the research section on Adobe.
https://research.adobe.com/publications/

Have you seen guys what Adobe has been working on lately with scientists like MIT?
As I said some time ago Adobe should focus more on AI, lol they've probably been doing that already for years.

Docens papers on AI research, for example extreme speedup of diffusion models (reduction of the generation time to 80 milliseconds with just one generation step):
https://research.adobe.com/publication/dmd/
https://tianweiy.github.io/dmd/

Approximate Caching for Efficiently Serving Diffusion Models, which reduces aswell generation time by using caching method.

https://research.adobe.com/publication/approximate-caching-for-efficiently-serving-diffusion-models/

Or Iterative Multi-Granular Image Editing Using Diffusion Models, which means you can edit image content by just text prompts.
https://research.adobe.com/publication/iterative-multi-granular-image-editing-using-diffusion-models/
https://openaccess.thecvf.com/content/WACV2024/papers/Joseph_Iterative_Multi-Granular_Image_Editing_Using_Diffusion_Models_WACV_2024_paper.pdf

CoPL: Contextual Prompt Learning for Vision-Language Understanding, which means developing a user friendly and precise prompting technique.
https://research.adobe.com/publication/copl-contextual-prompt-learning-for-vision-language-understanding/

Perceptual Artifacts Localization for Image Synthesis Tasks, which mean an AI model to identify artifacts in AI generated images.
https://research.adobe.com/publication/perceptual-artifacts-localization-for-image-synthesis-tasks/

You guys are counting on Adobe for nothing.
It was such a brilliant idea from Adobe to accept AI images. They have millions of user generated images and there is still a flood of new coming millions, which they can use for their own research purpose.
Just imagine, if they combine the AI technique of spotting generated artifacts, which they can correct on the fly.

Dam*, their strategy is just brilliant.
« Last Edit: March 05, 2024, 11:08 by Andrej.S. »


« Reply #301 on: March 07, 2024, 16:34 »
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https://petapixel.com/2024/03/07/recreating-iconic-photos-with-ai-image-generators/

None of the copies are great, but they're clearly more than "inspired by" the very famous images they were trained on.

« Reply #302 on: March 08, 2024, 03:34 »
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https://petapixel.com/2024/03/07/recreating-iconic-photos-with-ai-image-generators/

None of the copies are great, but they're clearly more than "inspired by" the very famous images they were trained on.

Actually they are really bad copies. I don't understand why you would want to recreate old famous photos. It's like recreating Mona Lisa, why should you? What's the point? Famous unique vintage content holds it's value in it's authenticity.

But you can create new original images with new perspectives, new techniques, styles, etc. You would try to evolve and not stagnate.

« Reply #303 on: March 15, 2024, 07:26 »
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Whoa, found today wirestock's AI image generator:

https://wirestock.io/ai-generate

Dam*, that thing is better as I would expect. The generator is obviously using finetuned Stable Diffusion models.
Their price is even not that bad. 10 bucks / month for 1000 generations.

Here are some test generarions:

https://ibb.co/VCX2VPr
https://ibb.co/dtyxc1J
https://ibb.co/s1fK54j
https://ibb.co/Q9VySpR

This development makes me quite nervous.
It's faster than I would expect.

I can currently beat the generated results by only using an AI upscaler (altough I haven't tried out wirestock's upscaler yet).

As an AI prompter I think you should already now focus on learning to generate visual aesthetic and striking images to stand out of the coming storm.

« Reply #304 on: March 19, 2024, 08:11 »
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NVIDIA Launches Blackwell-Powered DGX SuperPOD for Generative AI Supercomputing at Trillion-Parameter Scale

https://nvidianews.nvidia.com/news/nvidia-blackwell-dgx-generative-ai-supercomputing

Not that I understand much about the technical specifications, but what sounds promising is the following sentence

Quote
GB200 Superchips deliver up to a 30x performance increase compared to the NVIDIA H100 Tensor Core GPU for large language model inference workloads.

So Nvidia released the old H100 just last year and now they release a new for AI optimized chip, which delivers up to a 30x speed up.

Imagine how advanced AI will become the next years if Nvidia will hold on the release pace.
« Last Edit: March 19, 2024, 08:13 by Andrej.S. »

« Reply #305 on: April 13, 2024, 12:41 »
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Bloomberg article about Adobe Firefly training - "Adobes Ethical Firefly AI Was Trained on Midjourney Images"

https://finance.yahoo.com/news/adobe-ethical-firefly-ai-trained-123004288.html

PetaPixel via Bloomberg:

https://petapixel.com/2024/04/11/adobe-will-buy-your-videos-for-up-to-7-25-per-minute-to-train-ai-report/

Bloomberg: "Adobe Inc. has begun to procure videos to build its artificial intelligence text-to-video generator, trying to catch up to competitors after OpenAI demonstrated a similar technology."

More interesting, especially in light of the first article is one of the comments (emphasis mine):

"I just realized what this actually means. It's mostly marketing. Clever marketing.
They can't possibly gather enough material in a timeframe that can compete with simply scraping or buying in bulk. While they wait for volunteers to upload content, the other AI companies will have stolen the entire Internet twice over (which is what I think they are also doing, behind the scenes).
This is made to become product differentiation at launch.
And it's impossible to check the numbers (creators, video time etc) because it's confidential.

Brilliant.
PS: they can use the material they gather through this method, it is useful, but it's just too little. This method provides protection in the case of overfitting, or it can be used to produce better results by referencing more aggressively."

« Reply #306 on: April 13, 2024, 18:30 »
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Some useful insight into how much companies are paying to stock agencies for datasets:

https://www.reuters.com/technology/inside-big-techs-underground-race-buy-ai-training-data-2024-04-05/

"Rates vary by buyer and content type, but Braga said companies are generally willing to pay $1 to $2 per image, $2 to $4 per short-form video and $100 to $300 per hour of longer films."

It seems to me that only a very tiny percentage of this is being paid to artists.


Uncle Pete

  • Great Place by a Great Lake - My Home Port
« Reply #307 on: April 14, 2024, 12:37 »
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It seems to me that only a very tiny percentage of this is being paid to artists.

There's no doubt about that. If Adobe is true to their word, we are getting 30%, minimum for any image used. Make a note, other like SS and IS we'd get 15%? But I don't see Adobe disclosing what we are actually getting paid for data training.

Training AI using other AI images, is a dangerous tactic. Adobe admits that 5% or less, which was carefully inspected, was used. WHY? First off, if it's such a small number, why not find real images to fill the voids? But 1% is still, some percent, so Firefly is not free of scraped data.

We're still watching the courts to see what is decided about out of copyright and fair use. More claims, more trials, somewhere, someone has to make a decision that defines and decides with clear limits and regulation.

« Reply #308 on: April 22, 2024, 08:52 »
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I had missed this last month:

https://www.freepikcompany.com/newsroom/freepik-reimagine/

Freepik's AI collection is already much bigger than Adobe's (84.27m versus 60.8m this morning). I don't know how well it works in practice, but the idea is really appealing "... to allow users to upload a picture and instantly receive a unique and exclusive prompt. With this prompt, users can easily interact with the image and make changes." You find something that's close and use AI to get what you need - no need to figure out the basics of a good prompt as that's done for you.

« Reply #309 on: May 01, 2024, 16:28 »
+1
Somewhat gloomy headline on a Wall Street Journal (paywall) story today:

"The Last Stock Photographers Await Their Fate Under Generative AI
Digital photography ravaged the business of taking and licensing commercial photos. Some fear AI will kill it off entirely."

https://www.wsj.com/articles/the-last-stock-photographers-await-their-fate-under-generative-ai-822d1e6a?mod=Searchresults_pos1&page=1

I think the real situation is more complex than the story suggests. But some quotes:

"The companies that broker stock imagery say doom-mongering is unfounded. Consumers are still proving hostile toward AI-generated images, and so are marketers looking to convey an air of authenticity, according to executives. Real photos of real things are still in demand, said Paul Hennessy, CEO of stock photography provider Shutterstock, on an earnings call in February. We are not seeing our customers at any level of scale with a desire to buy, purchase and utilize AI-generated images, Hennessy said."

"The biggest companies in stock photography take the same line. AI imagery sometimes looks uncanny or fake, and most consumers and customers want the real thing, they say. Stock companies AI models will also require a stream of fresh photos to remain up-to-date, especially when it comes to images of new technologies and current events, said Rebecca Swift, Getty Images global head of creative."

Ms Swift says "...AI is unlikely to diminish stock photographers pay any further because companies including Getty have to keep prices high enough to maintain their own operations"

What I think she meant to say is that when you pay $0.01 and $0.02 royalties as Getty/iStock currently does, you can't reduce it much more because it's already so close to zero!!


 

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