In addition to the possible business threat, forcing OpenAI to identify its use of copyrighted data would expose the company to potential lawsuits. Generative AI systems like ChatGPT and DALL-E are trained using large amounts of data scraped from the web, much of it copyright protected. When companies disclose these data sources it leaves them open to legal challenges. OpenAI rival Stability AI, for example, is currently being sued by stock image maker Getty Images for using its copyrighted data to train its AI image generator.
Aaaaaand there it is. They don’t want to admit how much copyrighted materials they’ve been using.
If it was publicly available on the internet, then it wasn't stolen. OpenAI hasn't been hacking into restricted content that isn't meant for public consumption. You're allowed to download anything you see online (technically, if you're seeing it, you've already downloaded it). And you're allowed to study anything you see online. Even for personal use. Even for profit. Taking inspiration from something isn't a crime. That's allowed. If it wasn't, the internet wouldn't function at a fundamental level.
It's the same thing. Just because you have personal opinions on the matter, however valid they may be, doesn't make it any less the exact same thing.
That's like saying that McDonald's Super Sized fries aren't fries because they're commercially large. No, it's still fries, there's just a lot of fries being processed in one serving. And yet, despite the arguments and outcries of many, still legal.
If it’s the same thing, then why describe it as an AI scraping it’s not. It’s a company that has scraped a corpus of data from the internet and has used that to train an AI.
The problem is that intellectual property law is complex. Simply saying two things are the same thing is your personal opinion. Content on the internet is not by-and-large public domain. It comes with a license, which lets you use it for certain purposes and not others. Saying, for example an AI reading a book is just like a human reading a book’ (not something you said, I don’t think) betrays a certain naivety about the way IP works.
if you read a copyrighted material without paying and then forgot most of it a month later with vague recollection of what you've read the fact is you still accessed and used the copyrighted material without paying.
Now let's go a step further, you write something that is inspired by that copyrighted material and what you wrote become successful to some degree with eyes on it, but you refuse to admit that's where you got the idea from because you only have a vague recollection. The fact is you got the idea from the copyrighted material.
Except that nobody has a superhuman ability to create endless amounts of content almost instantly based on said work.
People throw this "artists/writers use inspiration to create X" argument all the time and it just totally ignores the fact that we're not talking about some person spending 10s/100s/1000s of hours of their time to copy someone's working style.
It's a piece of software churning it out in seconds.
For the image generating ones like Midjourney you could ask for an artist's style by putting their name in the prompt.
It probably works the same in OpenAI.
If I would create a very slow AI that takes 10 or 100 hours for each response, would that make it any better in your opinion? I do not think calculation speed of a software is a good basis for legislation.
If analyzing a piece of art and replicating parts of it without permission is illegal, then it should be illegal regardless of the tools used. However, that would make every single piece of art illegal, so it's not an option. If we make only the digital tools illegal then the question still remains where to draw the line. How much inefficiency is required for a tool to still be considered legal?
Is Adobe Photoshop generative auto-fill legal?
Is translating with deepl.com or the modern Google Translate equivalent legal?
Are voice activated commands on your mobile phone legal (Cortana, Siri, Google)?
All of these tools were trained in similar ways. All of these take away jobs (read: make work/life more efficient).
It's hard to draw a line and I don't have any solution to offer.
I think there can be said to be a meaningful difference due to the sheer scale and speed at which AIs can do this though.
Ultimately, I think it's less of a direct legal question and more a societal question of whether or not we think this is fair or not. I'd expect it to ultimately be resolved by legislative bodies, not the courts.
That's still not how LLMs work. I can't believe everybody who is upset with them doesn't understand this.
The LLM has no idea what it's reading. None. It's just doing a word association game, but at a scale we can't comprehend. It knows what arrangement of words go together, but it's not reproducing anything with any actual intent. To get it to actually output anything that actually resembles a single piece of material it was trained against would require incredibly specific prompts to get there, and at that point it's not really the LLM's making anymore.
There's plenty of reasons to be against AI. Such as the massive amounts of data scraping that happens to train models, the possible privacy invasions that come with that, academic cheating, etc. But to be mad at AI for copyright infringement only shows a lack of understanding of what these systems actually do.
The training process of LLMs is to copy the source material word for word. It’s instructed to plagiarize during the training process. The copyrighted material are possibly in one way or another embedded into the model itself.
In machine learning, there’s always this concern whether the model is actually learning patterns, or if it’s just memorizing the training data. Same applies to LLMs.
Can LLMs recite entire pieces of work? Who knows?
Does it count as copyright infringement if it does so? Possibly.
The training process of LLMs is to copy the source material word for word. It’s instructed to plagiarize during the training process. The copyrighted material are possibly in one way or another embedded into the model itself.
No it isn't. That;s not how neural networks work, like at all
In machine learning, there’s always this concern whether the model is actually learning patterns, or if it’s just memorizing the training data. Same applies to LLMs.
It's learning patterns. It's not memorising training data. Again, not how the system works at all
Can LLMs recite entire pieces of work? Who knows?
No. No they can't.
Does it count as copyright infringement if it does so? Possibly.
That'd be one for the lawyers were it to ever come up, but it won't
LLMs are generating texts word for word (or token by token if you’re pedantic). This is why ChatGPT is slowly generating the response word by word instead of giving you the entire response at once.
Same applies during the training phase. It gets a piece of text and the word it’s supposed to predict. Then it’s tuned to improve its chances to predict the right word based on the text it’s given.
Ideally it’s supposed to make predictions by learning the patterns of the language. This is not always the case. Sometimes it can just memorize the answer instead of learning why (just like how a child can memorize the multiplication table without understanding multiplication). This is formally known as overfitting, which is a machine learning 101 concept.
There are ways to mitigate overfitting, but there’s no silver bullet solution. Sometimes it cannot help to memorize the training data.
When GitHub Copilot was new people quickly figured out it could generate the fast inverse square root implementation from Quake. Word for word. Including the “what the fuck” comment. It had memorized it completely.
I’m not sure how much OpenAI has done to mitigate this issue. But it’s a thing that can happen. It’s not imaginary.
Exactly this. I hate copyright as much as the next person and find it funny when corporate meddling leads to them fighting each other, but both sides of this leads to shitty precedent. While copyright enforcement already is a shitty precedent, its something we can fight. AI companies laundering massive amounts of data without having to hold up copyright could possibly lead to them also not having to abide to privacy laws in the future with similar arguments. Correct me if im wrong.
Not entirely. I do think that if copyright holders have an argument against AI data scraping, privacy watchdogs will have one as well. But if copyright holders don't have one, the position of privacy watchdogs will be weaker as well. Mind you, I'm not arguing about legality, I'm fully aware that those are two very different things from a legal perspective. Im arguing from a perspective of policy narratives.
Note that what the EU is requesting is for OpenAI to disclose information, nobody says (yet?) that they can't use copyrighted material, what they are asking is for OpenAI to be transparent with sharing the training method, and what material is being used.
The problem seems to be that OpenAI doesn't want to be "Open" anymore.
In March, Open AI co-founder Ilya Sutskever told The Verge that the company had been wrong to disclose so much in the past, and that keeping information like training methods and data sources secret was necessary to stop its work being copied by rivals.
Of couse, disclosing openly what materials are being used for training might leave them open for lawsuits, but whether or not it's legal to use copyrighted material for training is something that is still in the air, so it's a risk either way, whether they disclose it or not.
Haaaa, OpenAI, this famous hippies led, non-profit firm.
2015–2018: Non-profit beginnings
2019: Transition from non-profit
Funded by Musk and Amazon. The friends of humanity.
Also:
In March, Open AI co-founder Ilya Sutskever told The Verge that the company had been wrong to disclose so much in the past, and that keeping information like training methods and data sources secret was necessary to stop its work being copied by rivals.
Yeah, he closed the source code because he was afraid he would get copied by other people.
Someone should just create an actual open source LLM, that can learn and replicate the innovations of all the others, and then just use these companies' arguments about copyright against them.
But OpenAI's models are proprietary. I'm a bit with Stable Diffusion since the models are open, but fuck OpenAI. OpenAI is not in favor of reduced copyrights. They are in favor of not being negatively affected by copyright, but still benefit from it.