Earlier quoted context omitted.
First, style is not copyrightable. I could draw something in a Studio Ghibli style and they could do nothing about it, legally speaking. Second, the way we've seen generative AI be used is not really the same as it was touted originally, that a mere prompt could replace an entire artist's work. A year later, we see that most people, artists included, don't use it as a verbatim text to image machine, they use it as a…
While there are no IP protections for “style” there are certainly elements that are covered. Particular colors be trademarked, characters can be copyrighted separately from the works they appear in, design patents are a thing that cover more than most folks realize. I don’t think any but the most copyleft segment of society thinks it would be reasonable for a generative AI trained on exactly one persons work to be us…
Microsoft will assume liability for legal copyright risks of Copilot
351–360 of 398 posts
Re: Microsoft will assume liability for legal copyright risks of Copilot
#352Earlier quoted context omitted.
First, style is not copyrightable. I could draw something in a Studio Ghibli style and they could do nothing about it, legally speaking. Second, the way we've seen generative AI be used is not really the same as it was touted originally, that a mere prompt could replace an entire artist's work. A year later, we see that most people, artists included, don't use it as a verbatim text to image machine, they use it as a…
> First, style is not copyrightable. I could draw something in a Studio Ghibli style and they could do nothing about it, legally speaking. Meanwhile, drawing Mickey ears on the wall of a kindergarten is not safe. If you feel strongly that generational ML somehow launders copyright out of the bits, train an image generator purely on Disney copyrighted material and share the model on the web, see how well that works ou…
Re: Microsoft will assume liability for legal copyright risks of Copilot
#353Earlier quoted context omitted.
I suspect Microsoft would earn more money by doing this. Their own engineers would get productivity boosts - with copilot already being familiar with data structures, code style, etc. would be a big boost to accuracy. But also, third party code would end up being more similar. Code style of the whole world would be pushed towards 'Microsoft style', which probably makes hiring easier, less training time for engineers,…
> Code style of the whole world would be pushed towards 'Microsoft style' Yes, that's exactly what the world needs, more software like Teams.
Re: Microsoft will assume liability for legal copyright risks of Copilot
#354Earlier quoted context omitted.
True, though I’m not sure this risk isn’t overblown. I’ve heard of a couple cases where someone got a copyright statement spit out, but I haven’t been able to find much more than the one or two that I’ve seen on hn. If you have more examples, I’d love to hear about them. Code is also tricky: there are a finite number of ways to write an algorithm, and I’m sure both that multiple people have written the same version o…
https://twitter.com/DocSparse/status/1581461734665367554 is the one I was thinking of. It's not just the copyright header in that case.
Though that is definitely a simpler prompt than I would have expected was necessary to get such a result. Thanks!
(The first example also isn’t the same code. It is very close, and definitely similar in style, but it isn’t clear that code would a)run, or b) would work as expected. I need to sleep though, so I’m not sure how much that matters.)
Re: Microsoft will assume liability for legal copyright risks of Copilot
#355Let Microsoft first publish a Copilot model that's trained on the internal codebases of Azure, Windows and Office. That's the only way Microsoft can convince me that they truly believe Copilot is non-infringing technology.
LLM copilot doesn't really understand the context of the project, it just goes for similar text.
So if you train on big projects you're picking up their patterns only. When a copilot user asks for a string concatenation 'tip' you want LLM to output a general answer, not something tied to a specific project. Big project is likely to use abstraction over strings, where base library usage is shrunk down to few lines of code as opposed to abstraction. In this case you'd want LLM to source a few "simpler" projects that use base library strings abundantly, so it can have decent amount of text for the most likely correct match over user's input.
I do believe Microsoft has all the code available for good training, it's not only about Azure, Windows and Office, there is tons more and it's open source already.
Re: Microsoft will assume liability for legal copyright risks of Copilot
#356What is the financial upside Microsoft is seeing to this that no one else seems to see?
Re: Microsoft will assume liability for legal copyright risks of Copilot
#357Earlier quoted context omitted.
Didn't Copilot produce an exact copy of code including the comments?
Take a look at the prompts people use in these examples. They are always so contrived. Sure if you ask it to "Take this function exactly as it is from this file at this repo and output it without changes" it can do that.
Re: Microsoft will assume liability for legal copyright risks of Copilot
#358Earlier quoted context omitted.
Take a look at the prompts people use in these examples. They are always so contrived. Sure if you ask it to "Take this function exactly as it is from this file at this repo and output it without changes" it can do that.
Do you think the prompt "sparse matrix transpose, cs_" is contrived?
Re: Microsoft will assume liability for legal copyright risks of Copilot
#359Earlier quoted context omitted.
I’m not convinced any of the output of these generative AI is free from copyright issues. Consider, a ROT13 copy of a book may at first glance look nothing like the original, but distributing digital copies would be clear copyright infringement. Feature extraction is literally a form of lossy compression. You can prod DALEE to make obvious copies of some of the works it was trained on, but even seemingly novel images…
I think this is basically the same as the sentiment that there is no such thing as a truly novel idea. The standard isn’t “I think that looks like an Andy Warhol picture”, it is “That is substantially similar to a specific Andy Warhol piece”. Copyright doesn’t protect style. > Feature extraction is literally a form of lossy compression. This is one way think of neural nets, another is that they find the topological s…
That really doesn’t fly legally because any digital format is ‘just’ numbers.
Re: Microsoft will assume liability for legal copyright risks of Copilot
#360Earlier quoted context omitted.
I’m not convinced any of the output of these generative AI is free from copyright issues. Consider, a ROT13 copy of a book may at first glance look nothing like the original, but distributing digital copies would be clear copyright infringement. Feature extraction is literally a form of lossy compression. You can prod DALEE to make obvious copies of some of the works it was trained on, but even seemingly novel images…
Copyright is not cooties. For something to be infringing it has to be beyond the de minimis threshold. It’s not enough to show that a copyrighted work influenced another work, there needs to be some substantial level of copying. This music industry has been going through exactly this for the last few years and the courts have recognized that the creative process necessarily involves copying and that a small amount of…