Face is looking increasingly compromised and distorted every photo.
this post was submitted on 14 Sep 2024
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........ They weren't before?
Yeah, they weren't as synergized. Now they're coordinating with key stakeholders to maximize the efficiency of their aggressive roadmap. Or something, I kinda suck at business jargon.
... To the surprise of absolutely nobody
Actually I have a question and I admit knowing nothing of the legal framework here but...
Isn't it absolutely ridiculous that a not-for-profit entity can exists solely for the purpose of developing a closed-source piece of software, demand to train it for free off copyrighted material, just to switch to a for-profit entity??
Sound 100% like tax avoidance. Like me registering a charity so I can throw a mega concert/party privately, secure preferencial treatment on supplies, get discounts on artists or even free performance and then switch to for profit as I start selling tickets
Originally all their work was supposed to be published and shared with the world, hence the "open" in OpenAI. However somewhere along the way they made a for-profit break off of the original company and started pulling everything in that direction.
Just want to point out that it absolutely is possible to train an AI that will keep track of its sources for inspiration and can attribute those when it makes a response.
Meaning creators could be compensated for their parts of AI generated stuff, if anyone wanted to.
I think that there are some people working on this, and a few groups that have claimed to do it, but I'm not aware of any that actually meet the description you gave. Can you cite a paper or give a link of some sort?
Other than citing the entire training data set, how would this be possible?
The entire training set isn't used in each permutation. Your keywords are building the samples based on metadata tags tied back to the original images.
If you ask for "Iron Man in a cowboy hat", the toolset will reach for some catalog of Iron Man images and some catalog of cowboy hat images and some catalog of person-in-cowboy-hat images, when looking for a basis of comparison as it renders the image.
These would be the images attributed to the output.
Do you have a source for this? This sounds like fine-tuning a model, which doesn't prevent data from the original training set from influencing the output. The method you described would only work if the AI is trained from scratch on only images of iron man and cowboy hats. And I don't think that's how any of these models work.
Doesn't Phind do this already? I haven't used it much but I remember it showing its sources for answers of code-related stuff
I use Phind solving computer problems. It does cite the sources it uses. At least for distro and general Linux issues. So far, it's been a very good resource when I've needed it.
OpenAI: It's not fair to charge us to use copywriten works.
Also OpenAI: Also you have to pay us for using them.
That's why all human creative works done online need to be bean related. To fuck up the data stream and make it unintelligible for AIs and marketing algorithms.
copyrighted*
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