I went into a smidge more detail over on my Mastodon last night, but my response is summed up as “WTAF? No! Freeware is an explicit license, as anyone from the BBS days will recall.”
Would you mind sharing a link to it here if it’s not any trouble? (Or your handle if that’s easier for you) I’m always looking for new stuff to check out and new people to follow on Mastodon
Also, in 2022, several unidentified developers sued OpenAI and GitHub based on claims that the organizations used publicly posted programming code to train generative models in violation of software licensing terms
They can argue about it not being a copy all they want. If there is a single GPL licenced line of code scraped then anything they produce is a derivative work & must be licenced GPL.
The only way I can see them weaseling out of this is by keeping the program running the model made in-house and proprietary while releasing the model in a format unusable without the base (proprietary) program. But maybe the GPL forbids such obfuscstion efforts (I don’t know, I haven’t studied it in detail)
And if so, I assume “derivative” will still subjective to some degree. Where do we draw the line between derivative and non-derivative?
I’m torn about my personal opinion about copyrights and software licensing in general. I think the main problem is the huge power imbalance between people and corporations, not so much the fact a company analyzed a bunch of available data to solve programming problems.
They don’t copy the data and sell it verbatim to others which would be a legal issue and in my mind also a moral issue, as they don’t add any additional value.
2: Normally derivative works are patched or modified versions of the original. I think the common English meaning would apply & chatGPT et al are fucked. I doubt there is a precedent for this yet.
Which is why I boycott as hard as I can every service this evil corporation provides (migrate your MS GitHub project away now so I can delete this account too)
Even my coworkers who are complete idiots with technology, who actively sabotage themselves every time they touch any piece of hardware and software, have soured entirely on nearly every Microsoft product across the board.
Its funny how quickly people change their minds when they dont understand the technology on a deeper level. Its just: “this is frustrating now I hate it” and no further thought.
Yeah, but anything you create automatically has a copyright, so for example this comment is not in the public domain. Its use is limited to the context I am using it in; that is, I expect it to be copied for federation purposes, but I wouldn’t say that AI is covered in this context, just genuine readership, moderation, and bots that are ‘part of the community’.
At least that’s the EU stance afaik. Like if I saw this comment on a billboard somewhere I’d see that as a clear breach of copyright and even privacy.
Well, it’s one thing to say an ‘artificial agent’ looks at someone’s work on deviant art and learns from it. It’s another to use that to make money, as I personally can’t imagine many of the posters would have been on board with that.
I’m fine with that, but let’s put some rules against this.
Any AI models should be able to determine the source of their data to a defined level of accuracy.
There should be a well-defined way to block data from being used by AI. If one of these ways (e.g. robots.txt) has been breached, the model has to be rebuilt without the data, and reparations made to the content owners.
A neural network is basically nothing more than a set of weights. If one word makes a weight go up by 0.0001 and then another word makes it go down by 0.0001, and you do that billions of times for billions of weights, how do you determine what in the data created those weights? Every single thing that’s in the training data had some kind of effect on everything else.
It’s like combining billions of buckets of water together in a pool and then taking out 1 cup from that and trying to figure out which buckets contributed to that cup. It doesn’t make any sense.
Respectfully, I worked for Alexa AI on compositional ML, and we were largely able to do exactly this with customer utterances, so to say it is impossible is simply not true. Many companies have to have some degree of ability to remove troublesome data, and while tracing data inside a model is rather difficult (historically it would be done during the building of datasets or measured at evaluation time) it’s definitely something that most big tech companies will do.
Sorry, I misinterpreted what you meant. You said “any AI models” so I thought you were talking about the model itself should somehow know where the data came from. Obviously the companies training the models can catalog their data sources.
But besides that, if you work on AI you should know better than anyone that removing training data is counter to the goal of fixing overfitting. You need more data to make the model more generalized. All you’d be doing is making it more likely to reproduce existing material because it has less to work off of. That’s worse for everyone.
It’s not impossible lol. All a company would need to do is keep track of where they were getting content. If I use a script to download as much of the internet as possible and end up with a bunch of copyrighted content I could still get in trouble, hell there was even a guy arrested for downloading jstor without authorization.. Stop letting these guys get away with crimes just because you like the idea of the end product
No officer, this is not a pirated movie. It’s generated by an AI model I created and trained with data from the internet and the fact that it’s 99% identical to an existing movie is irrelevant.
Ok… so from now on … when I see a “repackaged” Microsoft product that for some reason… which I don’t care to know… doesn’t ask for a payment… I can use it without restrictions ?!! that’s really nice of you Microsoft … thank you.
Mister/miss, LLMs that can run locally are fine. It’s the infrastructure and the large scale of commercial cloud LLMs that create some issues. You have to read some researches on this topic.
“See I like AI because I’m selfish. Also those bad things are in the past, I’m using an ethical AI system now! But also, who gives a fuck because I only care about myself!”
Yeah you get it guy! Maybe you can be Trumps secretary of technology!
All of the resources and energy spent to get you this product you like. You can’t discount what it took to create something just because the final product is small and efficient. Take a look at the manufacturing footprint of nearly all complex hardware.
I’m not saying you created the AI but you are one of its supporters, without which there would be no AI.
If this was all just pitched as developing a new plain English coding language, I think the hype following it would be far more appropriate, but then the funding wouldn’t follow to support the massive development costs of AI.
Its become a circle of hype chasing money chasing hype.
Its not you that is the problem so to speak though, its the collective “you’s” who think the same way.
I’m not discounting it. Improving productivity for office workers by 1% across the world is a massive amount
The power used to train the AI is alot, but after that using the AI uses a lot less electricity, if an AI spikes my gpu by 10 seconds to type something that would have taken me 30 minutes, I’ve saved on electricity:
theregister.com
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