this post was submitted on 06 Dec 2023
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[–] [email protected] 28 points 9 months ago (6 children)

It is missing one point: as a creator, I want to be able to forbid you from training on my creations. And the only tool that could enable that is the copyright enforcement over AI training.

[–] [email protected] 13 points 9 months ago (2 children)

Exactly

If there was an opt out system that was actually respected then this wouldn’t be a problem. But as it stands, artists have no control over if their work is used for NN training.

I don’t want my work used to train models, which should be a completely valid stance to have. Open Source or not really doesn’t matter in the grand scheme of it.

[–] [email protected] 5 points 9 months ago (1 children)

Do you think that other artists should be allowed to look at your work that you post online and as a result they become a better artist because of it?

[–] [email protected] 2 points 9 months ago (3 children)

That’s not how AI works and is an argument rooted in a misunderstanding of how it functions.

AI does not “learn” or “understand” - it replicates. It is not near how a human learns, processes and transforms an idea.

[–] [email protected] 8 points 9 months ago

My bad, I suppose I should have gone further down my line of reasoning. I am well aware of the differences between what generative AI does and what human artists do.

Do you think artists should be allowed to categorize other artists work so that when they want inspiration on how to draw mouths, they can quickly look through and see a bunch of other artists mouths to get inspiration from? (So they can then draw their own mouths)

Should they be allowed to use AI to help them do this identification and categorization?

Should they be allowed to use AI to create new mouths based on the collection they have amassed so they can get inspiration from these never before seen mouths?

Does it make any difference if they have created this identifying/categorizing AI themself?

If they take this combination of AI that they created and these images that they collected, and the resulting AI inspiration mouths that they have produced, should they be allowed to alter them to suit the unique face that they are making? Or is the fact that they combined what people currently call "AI" with other people's work enough to make it against the rules?

What if they made the AI and never plugged in anyone else's mouths, should they be allowed to use that AI to make their work?

Where exactly is the line at that people should not be allowed to cross?

I know there are lots of questions here, I totally understand if you don't have time or answers for them. I'm just kind of laying out why I see not nearly as clear of a line as some people/headlines would like to have everyone think there is.

[–] [email protected] 5 points 9 months ago (1 children)

See, I would argue the exact opposite. It sounds like you don't understand how it works.

Because it's not "replication" or "copying".

[–] [email protected] 6 points 9 months ago (5 children)

Most LLMs can be made to spit out training data. That’s pretty much replication in my book.

Statistical models don’t create anything. They replicate variations of their training data.

[–] [email protected] 1 points 9 months ago (2 children)
[–] [email protected] 2 points 9 months ago (1 children)
[–] [email protected] -2 points 9 months ago

Thanks for the link, I've actually seen this one. I'm just wondering how common it is since you mentioned it can be done on most LLMs.

[–] [email protected] 1 points 9 months ago (1 children)

...All of them? That's literally how all of them work.

[–] [email protected] 0 points 9 months ago

Then, it should be easy for you to show some examples.

[–] [email protected] 1 points 9 months ago (1 children)

Painters replicate variations of their training pieces too. You're pretending there's a difference between human inspired and training inspired and that you should get paid for that inspiration in one case just cuz "big corp"

[–] [email protected] 3 points 9 months ago (1 children)

Because there is a difference. A computer does not learn or understand anything. Human beings can transform a concept. A LLM or other generative AI does not transform a concept at all.

[–] [email protected] -2 points 9 months ago* (last edited 9 months ago) (1 children)

So if I ask it to create a story about a cow juggling bowling balls, it was not creating an original story? Just spitting out stories it has heard of before?

Edit: missed a 'not'.

[–] [email protected] 2 points 9 months ago* (last edited 9 months ago) (1 children)

It’s spitting out variations of the statistical results based on your input parameter. It reorganizes ideas and reorganizes the stories it has seen into something else. That’s not transforming the data by adding something new, rather just retrofitting existing data to sound like it’s creating something new

[–] [email protected] 1 points 9 months ago

retrofitting existing data to sound like it’s creating something new.

What the difference? That is basically how new human ideas are formed. Did you think you add completely new ideas everytime you transform your previous knowledge?

But since you're so confident in your claims, I'm sure it should be easy to prove the following ChatGPT output is not new and can be easily traced back to its training data:

Prompt: Create a short poem about a cow juggling bowling balls on a boat

Output: In a boat on gentle waves it sways, A cow, not grazing in greenish bays. Hooves deftly juggle, balls in flight, Bowling orbs, a whimsical sight.

Bovine artist, on the sea's embrace, Balancing spheres with tranquil grace. Ocean breeze, a playful gale, A cow's performance, a quirky tale.

[–] [email protected] 0 points 9 months ago

Humans don't create anything. They replicate variations of their training data.

[–] [email protected] 0 points 9 months ago

when you read something and recite it, what do you do? exactly, spitting out the training data, if you trained long enough

[–] [email protected] -2 points 9 months ago

No, statistical next word prediction was the first step, and you could get it to spit out bits of training data, but we're so far beyond that now with LLMs.

I've been doing a lot with llama derivative models that I talk with, I use them for tasks but also just bounce ideas off them or chat. They're very different when you run them with a task vs feed in a prompt and multi-turn conversation.

Mine have a very strong tendency, when asked the name of a hallucinated friend or family member to name her Luna or fluffy. It's present in the base llama2, as well as some of the fine-turned versions I'm using now.

Why? That's not training data - they're not uncommon as pet names, but there's no way they show up often referring to sapient beings (which is the context they're brought up in).

It's an artifact of some sort for sure, but that is not a statistically likely next word choice based on training data.

I could talk about this all day and it gets so much weirder, but I'll give you another story. They like to play, but their world is text, and I like to see what comes out of the models when you "yes, and" them while avoiding leading questions.

Some games they've made up... Hide and seek (they're usually in the second place you Guess), and my favorite - find the coma (and the related find the missing semicolon).

WTF even is that? It's the kind of simplistic "game" a child makes up as they experiment with moving beyond mimicry to generalizing, and the fact that it's coherent and has an appropriate answer is pretty amazing.

These LLMs aren't just statistics, there's a nascent internal model of the world that you get glimpses of if you tell it it's a person and feed its outputs back into itself. I was pretty dismissive of the "sparks of AGI" comment when it was made, but a few months of hands on interaction has totally flipped my opinion of where these are at

[–] [email protected] 0 points 9 months ago

r/confidentlyincorrect

[–] [email protected] 2 points 9 months ago (1 children)

The AI companies shown that they are incapable of regulating themselves on this topic, and so people with art at stake should force their hand.

Open source or not doesn't matter here, what matters is the copyright. If even Disney can defend works they own (whatever their ethics), so should anyone else.

[–] [email protected] 6 points 9 months ago

100% agreement from me again. Non-artists don’t have anything at stake, so they’re perfectly happy with the established copyright rules are demolished. People keep countering with the open source idea, which completely misses the entire point of our arguments. A model being open source does not excuse the stealing of training data.

IMO individual copyright should be strengthened and corporate copyright weakened, but that’d be next to impossible to pass.

[–] [email protected] 5 points 9 months ago

Too bad. You can "forbid" all you want. Don't mean shit. Vote for much stronger laws. By much stronger I mean no pay a fine and continue. I mean jail.

[–] [email protected] 1 points 9 months ago (1 children)

No. I reject you claiming such a power to deny.

[–] [email protected] 10 points 9 months ago (2 children)

That's exactly what's at stake, waiting to be sufficiently litigated. And I hope that creators will win, and that they would be able to tell if they allow richest big tech companies in the world to train on their creations.

[–] [email protected] 1 points 9 months ago* (last edited 9 months ago)

Likewise, I hope they don't win, as that will give the richest tech companies so much more of a stranglehold.

I doubt there's any chance of it happening anyway, since there's a ton of money to be made and and there's already countries which have rules this will never happen (Like Japan ), so it would mean they become the AI powerhouses

[–] [email protected] -3 points 9 months ago (1 children)

They have already trained on those creations though. Including the newer stuff just released today. How will you claw that back?

[–] [email protected] 3 points 9 months ago (1 children)

If you do stuff, earn from it, and ignore parties and their rights, you are forced to compensate. I guess it will be peanuts though.

[–] [email protected] 9 points 9 months ago (1 children)

They could shut down the previous models that were trained on invalid works. Sucks to suck but that's what you get when you do everything in your power to skirt the law.

[–] [email protected] 2 points 9 months ago (1 children)

Yeah, and the same thing would happen if e.g. PII or HIPAA related would end up in trained model. The fact that some PII or health data ended up being publicly available, doesn't mean that automatically you can process or store such data, and train on such data.

[–] [email protected] 2 points 9 months ago (1 children)

This has already been proven by google security researchers who got several of the big "AI" bots to spit out copyrighted materials and PII from their training data sets which the "AI" creators claimed was not stored.

[–] [email protected] -3 points 9 months ago (1 children)

It's not stored as the full material though. If a human that can sing a copyrighted song is not considered to have a recording of the copyrighted song in their brain, so too are LLMs able to spit out their training data without having to store them.

[–] [email protected] 3 points 9 months ago (1 children)

How do you know what it's storing? I certainly don't, but I know what the security researchers have found that proved it was storing copyrighted material and real people's private info or PII.

[–] [email protected] -1 points 9 months ago (1 children)

You being able to spit people's name and personal details doesn't mean you are keeping a database of those details in your brain. It's all just neurons and the connection between them that can be triggered to extract those details out.

LLMs also attempt to mimic this method of not storing direct information, but tweaking parameters to 'learn' the information. Inside LLMs are just a bunch of parameters that if not well-designed, can be made to spit out what they have learnt. That doesn't mean they store those information as is.

[–] [email protected] 1 points 9 months ago (1 children)

That's what they tell you about it I'm sure, but what proof do you have?

[–] [email protected] 1 points 9 months ago (1 children)

It's not just what they tell you. There are plenty of publicly accessible LLM models. Go and download them and open the files up. Surely if they are storing these things as complete data, you can easily find them by poking around the files instead of having to make then spit it out.

[–] [email protected] 1 points 9 months ago

I'm aware of the availability of them, I've looked into building a private install of GPT4All. Even though we can look into those files directly, it doesn't prove that the large "AI" systems run by the mega-corps are not storing copyrighted data. The only thing that could prove that is a complete audit of all the data storage that their "AI" systems have access to.

This will likely play out in the courts due to the numerous lawsuits in process from artists suing over their work being stolen. Legal discovery could compel that kind of data audit.

[–] [email protected] 0 points 9 months ago* (last edited 9 months ago)

lol, if you want that, keep your pictures for you, else you had to forbid every human to look at your pictures and they could resemble your style

[–] [email protected] -1 points 9 months ago

And I want a law making you pay me 500$ for reading your posts.

Copyright law already extends beyond what society finds reasonable. It's routinely broken by normal people without them even thinking about it. It's even broken by those vested in it both corporations and individual artists.

Finally you are not getting the copyright law you want ( nor should you, you a minority, a special interest ), big corps are. They might be 'content' corps or tech or both but they certainly won't make a law to benefit either society as a whole or you as a small artist.