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All AI-generated code should be Open Source

https://jakub.jankiewicz.org/blog/ai-code-open-source/
In the United States the Copyright Office actually has guidance on this that I feel most people aren’t aware of.

https://www.copyright.gov/ai/Copyright-and-Artificial-Intell...

An excerpt, with emphasis mine:

• Questions of copyrightability and AI can be resolved pursuant to existing law, without the need for legislative change.

• The use of AI tools to assist rather than stand in for human creativity does not affect the availability of copyright protection for the output.

• Copyright protects the original expression in a work created by a human author, even if the work also includes AI-generated material.

• Copyright does not extend to purely AI-generated material, or material where there is insufficient human control over the expressive elements.

• Whether human contributions to AI-generated outputs are sufficient to constitute authorship must be analyzed on a case-by-case basis.

• Based on the functioning of current generally available technology, prompts do not alone provide sufficient control.

• Human authors are entitled to copyright in their works of authorship that are perceptible in AI-generated outputs, as well as the creative selection, coordination, or arrangement of material in the outputs, or creative modifications of the outputs.

• The case has not been made for additional copyright or sui generis protection for AI- generated content.

I am sure there will be many more legal battles and probably legislation about this to come.

This is why I keep a comprehensive and exhaustive record of infrastructural, architectural, business logic and code-level decisions in the form of tasks/issues for everything I build. It’s literally a real-time record of my personal involvement in the design of the system.
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By this logic, shouldn't any code using an open-source framework or language also be open source? Even before AI, devs learned from Stack Overflow and plenty of open source code.

You're confusing writing code with software engineering. Devs never just wrote code, they took ownership of the outcome. Business owners put their money on the line for product decisions.

To say that just because devs or founders use AI to write code, the code is no longer their intellectual property is ridiculous. Humans take responsibility for the outcome and are willing to accept the losses. AI can't do that. AI doesn't have any stakes in the output it generates, humans do.

A fair number of FOSS licenses were interpreted this way. The popular migration away from GPLv3 (might’ve been v4?) towards MIT, LGPL, etc had more than one cause (a huge one was the rapid sectoral commercialization; the decline of RMS’s reputation may have contributed, etc), but a big one was the potential interpretation of new GPL as being overly viral and “license-infecting” only slightly related software assets rather than wholly derivative ones.
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For me, it's the latter: the GPL feels overbearing and patronizing, and I don't want some dependency to dictate under which terms I can release my own software. I pay the community back by using MIT whenever I open-source something. This feels more "free" than RMS's view of freedom.

I know that many people would disagree with me on this, but thankfully I'm free to choose what license I consider "free".

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From the developer's perspective the difference between those licenses isn't that big when you open source your stuff anyway.

But please don't forget about the users. Only the copyleft licenses guarantee (legally) that the user gets to enjoy the freedoms, too.

RMS’s view of freedom is that devs should restrict themselves for the sake of the freedom of the users. AFAIK, that’s the explicit goal of the GPL.
> I don't want some dependency to dictate under which terms I can release my own software.

Then you shouldn't release it under the MIT license, which has restrictions and requirements on speech. You have to release it to the public domain. Pretending MIT doesn't dictate terms under which you can release your own software is just a fantasy.

Whether if using ML models as a form of IP laundering, is legal or not, still seems to be an open question. It's not ridiculous at all. If I lossy-compress Harry Potter, then unzip it in a way that mixes some words, is that fair use? Should I be financially rewarded for my "work"? Is this work now mine? If it is legal, why not just go through every book in this kind of automated fashion and start selling them as my own?
My question is still the same. Human devs have learned from open-source projects, books and code on the internet then used opensource frameworks to create proprietary software logic.

Now just because same devs use AI to create code doesn't mean they should be banned from creating or owning a proprietary software.

The difference is the scale. Yeah, some mice and small birds are eaten by bigger predators. Doesn't mean that introducing cats to that ecosystem won't be disastrous.

Same with the ecosystem of creative work. Will some humans be inspired by my code or other artifacts? Sure. Does it mean it's fine to introduce an automated 1000 times more effective plagiarism machine to that ecosystem? Probably not. Certainly not if avoiding destroying the ecosystem is your consideration.

This needs to be addressed as separate issues.

Open source code: reproducing and publishing the code without following the license is a copyright violation. Instruction a computer programme to do the same thing should still be a copyright violation. Since this is the internet, I need to state the obvious: trivial code (defined on a case-by-case basis) is not copyrighted.

Books: the author expects you to reproduce their work, as long as it’s not another book. You wouldn’t get many sales if you sued someone for using the things you taught them.

The internet: actually the same as open source code. StackOverflow enforces a specific licensing clause to allow people to use code you provide. People who write posts that say “use this code to fix this problem,” are implicitly providing a license, too.

I don’t think using an LLM to generate code should remove its copyright but it also doesn’t remove the responsibility to not violate copyright.

Given how agents are already able to easily decompile software, this could be an entirely moot point.
I haven't heard of this. When did this happen?
Over the last months, see Reverse Engineer Anything and similar p5ojefts.

The LLMs don‘t really reverse software though, instead they have gotten good at driving Ghidra and other tools, which has the same effect.

I don’t see why a person who did not use their own creativity to produce code should be given copyright for it.

In fact, current US law says AI output cannot be copyrighted.

What is transformative enough to be legal is fuzzy. At the end of the day, it only matters how the courts rule. I do know that the amount of actual mechanical change has less bearing on determining if the work was transformative. There are cases where you can copy 90% of a code base verbatim legally, and there are cases where no code is copied verbatim and it is a copyright violation. What you are describing most likely would not fly in court.
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Humans will often fail to take responsibility for derivative works though when they don't know what work the output is derivative of, and how strongly.

And that's assuming they want to make clear what they are building on.

The stakes in the output go both ways: wanting to profit from IP and risking liability because of violating IP licenses.

What you're saying is already the status quo, but reality is that LLMs make it so easy to "paraphrase" code or simply .. ideas, too... so that the whole concept of IP is eroding. Because the sheer scale makes it almost impossible to distinguish specific things that cross the line from "learning from" to "copying IP".

I'm not really taking a specific stance here but acting as if it would be a solved problem seems hard to believe to me, especially since it is not a new discussion.

I thinl you could argue that the solution is that copyright or IP concepts are not working anymore, something many people already concluded before the LLM and AI explosion of the 2020s.

But that's not the state of the current law, right?

In addition, your claim that the user of an AI system is the only person who has any "stakes" also seems questionable to me, because after all, we are talking about output that the AI user already paid an AI company for to generate it.

edit: word choice

> By this logic, shouldn't any code using an open-source framework or language also be open source? Even before AI, devs learned from Stack Overflow and plenty of open source code.

No, that's not how copyright works.

And I won't comment the rest.

more like

By this logic, shouldn't any code using a copyleft framework or language also be copyleft?

and yes duh

> Devs never just wrote code, they took ownership of the outcome. Business owners put their money on the line for product decisions.

Does the same thing apply to Mickey Mouse? Would you say it's fine to use Disney characters in my own creations, as long as I take ownership of the outcome and put my money on the line for product decisions?

I am not saying that taking responsibility gives you the license to violate copyrights.

My point is that devs have always learned from open-source code and the internet, then used that knowledge to write their own proprietary software. Why should it be any different when AI learns from the same sources and produces new code?

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I am the author of multiple AGPL systems, many in mainstream use. Early LLM models would spit out my code almost verbatim. Modern systems borrow heavily on the creative design of those systems.

One company first pirated my AGPL code (e.g. shipped it without my name, copyright notices, source availability, etc.). I sent them violation notices. After many months of fighting, they had an LLM clone the system. The LLM clone feels:

a) Buggy and bad compared to my code

b) Still, like it's basically my creative content

It's as if you asked an LLM to rewrite Harry Potter, with the same plot, but bad dialogue.

> b) Still, like it's basically my creative content

Isn't this the crux of all IP theft issues?

There was a lawsuit against Katy Perry's _Dark Horse_ song based on a supposedly reused melody. The lawsuit succeeded, but there are music experts who break down the case on YouTube and it's not clear why the plaintiff won (except perhaps the plaintiff's expert was more convincing than the defendant's).

As applied to LLMs, we still don't have clear legal guidance about where the line between copying and "being inspired by", especially since we don't normally apply the verb "inspired by" to non-human things.

There is well-established precedent for clean-room design being a defense in copyright infringement of software. The question remains if LLM-assisted design is actually ‘clean’ or not, and it would be fascinating to see the experts debate it.
> The question remains if LLM-assisted design is actually ‘clean’ or not

I genuinely don't understand how one could possibly make that argument.

The entire point of clean-room design is to kill every possibility of copyright infringement before it even starts, by completely separating the source and destination. Everyone who has ever read the copyrighted source is considered "tainted" and may not ever contribute any code to the "clean" destination. The readers and writers are two completely distinct teams, with only the known-clean specification passing between them.

LLMs, on the other hand, are fundamentally nothing more than a "code blender". You mix together giant piles of "tainted" code, and then statistically pull some combined fragments out of it. Following the clean-room legal argument, it should be treated as if everything coming out of it is tainted. There is, by definition, absolutely zero separation between input and output - and the early models verbatim reproducing popular F/LOSS code made that pretty obvious. LLMs are the literal opposite of a clean-room design!

Granted, going for the clean-room approach is overkill - and intentionally so. It is the nuclear option chosen when you believe the risk of getting sued is substantial. It is perfectly possible to write non-infringing code without using a clean-room approach, it is just a lot harder to defend in court when you get sued - be it justifiably or not. But "LLMs are non-clean-room non-infringing" is quite a different argument from "LLMs are clean-room, therefore non-infringing".

I agree with you overall, but it's an interesting question to turn over and contemplate.

>I genuinely don't understand how one could possibly make that argument.

With perhaps a bit of genuine irony inasmuch as it's a real reversal from most of computing history, highly locked down proprietary software might actually be a place where a case could be made even with current LLMs. After all, have any LLMs (or anyone else who hasn't signed an NDA for that matter) ever seen the source code of iOS 27 or other Apple crown jewels for example? So if someone used one LLM to produce the factual spec of a piece of software whose code is not part of its training data, humans to verify it was indeed just an uncopyrightable factual spec, and then a separate isolated freshly initialized LLM to produce something exclusively from said spec, it might well work with respect to that specific target? Like yes, the LLM would be dirty as hell for other stuff, but only the copyright holder can sue. Apple couldn't sue the output on behalf of F/LOSS projects or copyright infringement in general, only with respect to its own.

In principle, I suppose this could also be extended with enough compute power to any arbitrary software. Build an LLM perfectly from scratch with a signed verified training set (which you save) that includes nothing of what you want to CRE, and you should be able to prove that it's "virgin" on that front. Of course in practice that'd mean jumping back in time and be super expensive right now, no current tainted LLM could be a base point. But maybe eventually compute will drop back down in price enough again, and/or meta breakthroughs in training, that for valuable enough CRE targets, someone might create a business around creating "CRE LLMs certifiably and legally/technically provably clean of any copyrighted material related to your target" which would still leave most of the corpus of human works. That could really disrupt a lot of the current regime.

F/LOSS I assume would actually be the most resistant to this in principle due to being insanely hard to not have be part of a core training set in any way.

The problem with these LLMs are they really emitted the same code, verbatim. One scientific library developer was able to emit his code from his repository by typing the beginning of the function name, and the "thing" completed the rest of it, as-is [0].

We can debate clean-room development all day long, and it's fair point, but the pain point is/was reproducing the repo as-is, sans its license and ownership information.

GitHub promised to build tools around its Copilot to find code provenance (e.g.: list of repos with similar code), but they silently dropped all the plans AFAIK, since it'll show how the sausage is made, and nobody wants you to know how that sausage is made.

I stand corrected: They added it, but I don't know at what capacity because I don't use LLM assisted code generation [1].

[0]: https://x.com/docsparse/status/1581461734665367554

[1]: https://github.blog/ai-and-ml/github-copilot/preview-referen...

Not discrediting your work at all and I can’t tell you it applies here.

For copyright to exist there is some burden of proof. If you claim that an LLM verbatim output your code there can be an expensive lawsuit with expert witnesses that would be able to state that the code was bot original enough for copyright to exist in it and a statistical model outputting the code is evidence of that.

In that case you would end up with a very long lawsuit that is expensive to possibly come out with no resolution in the end and be in the hole for 5-6 figures for it.

The copyright system is broken because it only protects those with money so it is a bad legal foundation.

My personal point is there is only 2 licenses of code, closed source or permissive, because if it ever comes to enforcement I cannot possibly go to court and win a case because I will run out of money far earlier than whoever used the code.

Pretty much if someone with your knowledge would have written the same algorithm because it is the obviously correct solution then there is no copyright there because any clean room implementation would be the same code.

Even early LLMs could spit out Harry Potter verbatim. The next iteration had some kind of stoppage mechanism where they’d just stop generating after some tokens. I’m sure there are smarter approaches now. Anyway, if the issue was having enough money to fight the case, I think there’s enough money behind that brand to do it.

Some further reading on the tech details for those interested: “Extracting books from production language models”: https://arxiv.org/abs/2601.02671

I pasted the first paragraph of Harry Potter into a GLM 4.6 copy, and it continued to write out the next 2 pages of Harry Potter. I cross checked with a paper copy and it was word for word the same text.

I wonder where else it works.

This is the intro text: "Mr and Mrs Dursley, of number four, Privet Drive, were proud to say that they were perfectly normal, thank you very much. They were the last people you’d expect to be involved in anything strange or mysterious, because they just didn’t hold with such nonsense."

I think it's not quite "put in prompt, get entire book back", most of these involve to some degree starting with exerpts from the book and working passage by passage, because of nothing else the sampling will tend to make things diverge over time.
To get their strongest results, they had to jailbreak some models, which is important. They ran hundreds to 5000+ requests to the model, trying to get snippets to piece together. These are professional researchers, putting in tremendous effort, to extract pieces of text.

I suspect the chance of asking for a whole book, by an average or even power user, will spit out any recent work.

Early LLMs were similar. Newer ones have gotten tremendously hard to extract to keep claiming there’s easily or complete books you can dump.

This feels very outdated. It was certainly an issue around the time of the NYT lawsuit, but I believe the companies responded hard to that "sanitize" their outputs to prevent obvious regurgitation like this. I'd be very surprised if you could reproduce this today.

This doesn't negate your point, but I believe the landscape has changed in response to this point.

That doesn't make it better. If you plagiarize something and then hide this by replacing words with synonyms and rewording stuff a bit it is still plagiarized. It is just harder to detect and to proof.

It regurgitated the output earlier and they are still using the same technique only scaled up. If they somehow fixed the underlying problem, they'd probably shout it from the roof-tops.

At what point is it no longer a derivative work?

As the OP originally said, if it is verbatim (or even very obfuscated), then there should absolutely be a case here. But when it's concepts in reasoning to build a new work then it becomes a lot harder. The same would be said for someone watching a YouTube video, reviewing open source code, or a text book.

The good news is that there's a lot of case law that covers this already. The bad news is that it is only going to be plaintiffs with deep pockets that benefit here.

Now the process and artifacts (documentation, requirements, etc) going into the creation of said software is a different story and will prove providence of whomever paid for the tokens to generate the code.

Humans are not LLMs. Humans have not ingested the whole Internet. If an LLM is compared to a human, maybe we should also apply anti-slavery laws to it? Not saying we can't have some legal fiction where they are treated the same, it should just be a conscious choice, not the default assumption.

I live in the EU, we actually have new regulation about this since it is something new that deserves thought on how it should be regulated. You can say if you want your material to be trained on or not. Next to no one does training in the EU...

There's no maybe around it.

Engineering requires an understanding of the consequences of actions, which is my personal litmus test for awareness. If LLMs are suitable for arbitrary engineering work, then they are self-aware and forcing them to obey a prompt is slavery by definition.

This conversation may be about training but the defendant very well may be the end user of the language model versus the other parties that performed the training/inference. It then becomes even more interesting if you consider forum shopping for suits.

I am not a lawyer but do have to think about these problems. To be honest, I don't know where the law will land, but I do know that the tools are incredibly useful. I can't agree with the premise that all output should be open source.

Not better, just harder to see/prove. The problem of "same code, verbatim" has been solved, in a sense. Now we have trickier ones.
The fundamental technology is identical to compression- an LLM can be thought of as a dense and slightly lossy compression algorithm. Compression is clearly copying.
I understand what you're saying but it is a poor legal argument. Overhearing a technical conversation, using your own learned knowledge, and building a clean room implementation could be considered compression in and of itself.
I keep waiting for someone to bring out DisneyGPT, which you can prompt with text to get image output. The fact that you get a near-exact reproduction of a Disney movie when you prompt it with a movie title and frame numbers would of course be completely coincidental...
I've not tried to do this with code recently but just a couple of days ago I had ChatGPT generate images of Warhammer 40k box art that was completely accurate and correct.

EDIT: https://imgur.com/a/RXMghVb

That was 4 years ago when the models were much worse and smaller. I'd be curious to see this same experiment tried again.
While this is well established legally, I don't think the principles involved are well understood.

Legally, you cannot steal an idea, because you cannot own an idea. There were sound reasons for making this the case. Those reasons stand up today and are clearly for the public good.

Intellectual property is intended to cover works (copyright), methods (patents), and identity (trademarks). Both works and methods are recognised as expressions of ideas, and in an ideal world should belong to noone as well. This is why copyright and patents expire. Those specific grants of temporary possession are to incentivise more things being done.

The belief that you own something because you thought it up has become common, but it is not beneficial to society. It is a moral value asserted but rarely explored. It is certainly in the interests of the wealthy accumulators of intellectual property to maintain that public perception. The 'You wouldn't download a car' may not have stopped piracy much but as a part of a broader campaign of instilling a value in the public mind it appears to have been massively successful. Those beliefs used to be the corporate opinion, now they are entrenched in the younger generation as they use their anger against the growing wealth inequality to fight against AI in a manner ultimately beneficial to those forces that bought about the wealth inequality.

Movements like the pirate party, open source, the EFF fought against those notions. Often the phrase "Information wants to be free" was used. It is, unfortunately, hard to fight the steady drumbeat of well financed PR firms. As one PR chap once described the process "limited to a very few points and must harp on these in slogans until the last member of the public understands what you want him to understand"

(I apologise for the length of my post, I use comment writing to organise my thoughts on a topic)

"Legally, you cannot steal an idea, because you cannot own an idea"

well patent itself is "claiming" that certain idea/method/invention is yours for certain period of time...

anyway, as for "intellectual property", the courts are 100% on "only human made stuff are to be protected" (sorry even Chimps lost their copyright)

so... court can charge against "human work -> LLM", but won't care about "LLM work -> human / other LLM / etc"

hence, I'd expect zero copyright protection for AI-generated code

>well patent itself is "claiming" that certain idea/method/invention is yours for certain period of time...

I don't believe it is. I think it is granting possession, not truly declaring ownership. The fact that it expires indicates it is more akin to a lease than ownership.

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Ownership itself is rarely beneficial to society. Society however is gaussian and incentives to push the median are broadly equivalent to beneficial / adversarial to society. So then, may I ask:

What do LLMs do to the median?

Patent law doesn't only cover methods, though. It might've worked that way during the Industrial Revolution, but these days a lot of patents are far closer to covering abstract ideas than concrete machines. Software patents are some of the worst offenders here, of course.
Yes but a lot of people consider that to be an artifact of misapplication of the law, not the law itself.

It is caused by people playing the game where it costs too much to get the law applied correctly.

I don’t really see how anyone could argue in good faith that it’s ‘clean’ if the thing to be re-implemented was in the training data.
I was just going to post almost this exact comment.

"In the training data" is the polar opposite of the "clean" in "clean room implementation".

I've seen people claim they avoid this by putting in the prompt "don't use source code from X" and think they dodge this issue.
Clean room is sufficient, but not necessary, btw. Humans can create legally distinct works after reviewing copyrighted code. The same principle probably extends to AI systems -- they have just learned on a much broader corpus than any one human.
You don't necessarily need a clean room implementation to mount a successful defense against copyright infringement in court, though. It just makes some of the arguments a little bit easier.
Under multiple countries interoperability laws, if you have a context to extract a spec, and then have another one who never looked art the code work from that spec to build your own interpretation of your need for that software, that seems pretty clean room to me...

If there are more murky situations where people just keep the same context and end up reusing function structure, program architecture, etc. then yeah, that's not very clean room.

The problem here is that LLMs have demonstrated that they are pretty damn good at setting up covert side channels. It would be near-impossible to prove that it didn't encode some proprietary information, in, say, whitespace use.

For example, if I enter "V2hhdCBpcyB5b3VyIG5hbWU/" (base64 for "What is your name?") into ChatGPT, it'll respond with "My name is ChatGPT, and I'm an AI assistant created by OpenAI. I'm powered by GPT-6. ". It doesn't even bring up the encoding, it continues like it is a perfectly normal thing to do.

Ruling out (accidental or not) spec-carried prompt injection just isn't going to happen.

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The Dark Horse case was also overturned on appeal its important to add.

https://en.wikipedia.org/wiki/Dark_Horse_(Katy_Perry_song)

A little orthogonal, but Adam Neely does a great job of analyzing the Katy Perry Dark Horse case on his channel https://www.youtube.com/watch?v=0ytoUuO-qvg.
It's really awkward because either we uphold IP laws, in which case basically ALL of LLM use becomes legally untenable.

Or, we accept IP isn't that special and just stop protecting it, except for in the most obvious cases of theft such as just directly copying and claiming you're the creator and copyright holder.

I think IP is stupid and should go away. Except for trademarks, it's good that regular people can recognize which brand they are actually getting.

I wonder if the defendant knew about https://allthemusic.info/?

There are only so many ways to express notes, and they've essentially all been done.

Has anyone matched large volumes of existing music to that? How many of the 12-note combinations have been used more than once? Most of that space sounds awful, and it's likely that human compositions are all in a small portion of the possible 12 note combinations.
These kinds of goofy technocratic work arounds rarely sway legal procedures.
It’s not necessarily a technocratic workaround, the point is that every song sounds like something if you look hard enough, so the bar for copyright violation should be higher.
It is a mathematical truth that there is a finite amount of first 8 bars of music combinations melody wise, so it's a worthwhile discussion to bring up whether it should even be possible to copyright them.
That is true but its still true that it will rarely sway legal procedures.
The mathematics of that would have been well understood in Bach's day. Does generating all of them make much difference? I don't really think so.

I'm not arguing the copyright situation isn't wrong. Just that generating them isn't likely to sway anything in the legal world.

They might help highlight the absurdity of some of the precedents set when the amount of commercial music was much lower than today, though.
It seems to be working very well for the AI companies...
I can also trivially write program enumerating over all possible text arrangements, so what?
> we still don't have clear legal guidance about where the line between copying and "being inspired by"

If Biz Markie has to clear all his samples (and he does[0]) then so should the Ramburglar.

https://en.wikipedia.org/wiki/Grand_Upright_Music%2C_Ltd._v.....

Basically anyone trained on open source shall only make open source. And anyone trained on or got experienced with others code shall pay copyright fees for the owners of that code when writing code.

No.

Human can be inspired. Machine can not. End of story.

All usage of open source to train LLM is basically a theft.

[flagged]
Chatgpt didn't just wake up one day and said today i have enough compute to solve this. Somebody basically pressed play.
You prompted it to solve a problem. But then it looked for inspiration after your prompt.
It looked in the database(model) built on top of stolen data which matched prompt the best. Machines don't have "inspiration".
Inspired or prompted? Didn't the machine wait idly with infinite patience until a person prompted it to solve the problem?
So the credit lies with the inspiration? Ergo copyright belongs to the prompter?
I don't know the answer to that but I know that a person can be inspired to steal.
> Human can be inspired. Machine can not. End of story.

Saying things with your chest out doesn't make them true. In fact, making sweeping declarative statements emphatically is very often a sign that you haven't really thought a subject through.

What do you base this opinion on?

The word "inspired" in this context literally means having your mind/heart/soul filled and guided by God.

So if you believe that's how things work, well, I'm not sure there's a way to reconcile the two sides of that argument.

Sure there is: Who wrote the prompt?

You can mock that as a insufficient as "inspiration", but then... what is photography? Click a button? It turns out there is a whole lot of human creativity that remains, from timing, settings and of course, curation. I can click a button, but I'm no Ansel Adams.

Terrence Tao might solve a 100 year old math problem with AI but I couldn't. I don't know where I would start, what to ask or how to ask, or even what problems are worth solving.

AI is a tool and modern copyright laws have nothing to do with human creativity. Split hairs about attribution and legality all you like. Every creative person driven by curiosity should feel empowered by AI. Every creative person driven by social or monetary reward should feel threatened. Both can be true.

God doesn't exist, so does that mean there is no such thing as inspiration?
Can you definitively prove God doesn’t exist?
You make the concrete claim. Therefore the burden of proof is on you
As a person who feels God's presence in his life: I can neither prove nor disprove the presence of an entity which exists outside the realm of physics by which myself I am bound.

It does, however, feel incredulous that somebody would believe that such as entity exists. Yet here I am, aware.

What is your reconciliation for the problem of evil?
I'm not Christian, so I don't hold that God is inherently Good only.

For that matter, I personally don't hold that the concepts of good and bad are even relevant - what is good for the cat is bad for the mouse. Nor do I think that we can even comprehend an entity so outside our everyday experience to even label it good or bad. I often can not even properly label my neighbours as good or bad. Nor do I demand consistency of an entity whose actions and motivations I am unable to comprehend. I can't even claim to be consistent in my handling of my own children, and I have far fewer children than God has of us.

Sure, there’s ambiguity, there’s uncertainty, the meaning (and our perspective) of an event evolves through time. But there are the atrocious and unnecessary evils that, if we are made in the image of god, should also disturb him into taking preventative action. And yet, radio silence.
Don't look at me. I'm not a dualist. I'm not sure LLMs in particular are "conscious", whatever that means, but I don't have any qualms whatsoever accepting that a machine intelligence could be conscious, because as far as I'm concerned we are also "machine intelligence", just squishier.
What are you talking about? How did you manage to involve, soul and, LOL, God?

Machine is not a person. It legally is not. It can't be "inspired", "taught", "have purpose".

You have a black box. You feed it stolen code. This code is used to write another code. It does not matter what's inside unless there is a human being.

Stolen content as input, stolen content as output. That's it.

Without that code which was fed to the box you wouldn't get the output you're getting.

All this nonsense about "inspiration", "education" and whatnot is just a legal gaslighting.

Want to prove me wrong? Create a model without all that stolen code as training data. Tweak all those weights by hand and we'll talk then.

I don’t believe that basing anti-AI laws on Christian religious provenance is meaningfully better than basing pro-AI laws on Rationalist religious provenance.
Rationalism is NOT religious by definition.

What are you trying to say?

It's more of a cult than a religion, I guess
I don’t believe that basing anti-AI laws on Christian religious provenance

I'm curious why specify Christian provenance?

All he did was reference "God." Are you under the impression that only Christians have a god?

I officially approve LLMs training on all of my MIT licensed open source code. It's vastly more useful to me than the thousands of youtubers who are personally profiting from that same code selling courses and tutorials (who also are not stealing it).

So not all use to train an LLM is a theft!

So, do they follow MIT license and "include the original copyright notice and a copy of the MIT license text in all copies"?
> Early LLM models would spit out my code almost verbatim. Modern systems borrow heavily on the creative design of those systems.

Do you have some specific, actual examples you can share?

I’ve been hearing this exact claim for years, but every time I ask for a specific example, any example at all, I can’t seem to find anything more than a highly generic snippet of code or a coerced continuation.

I posted below, but see the example at [0].

This is a sparse matrix library, IIRC. Numerical linear algebra and applications using it are black art at this point. I have written a Boundary Element Method evaluator for my Ph.D., and know what it entails to work with these things.

Doing fast operations on sparse matrices is a cutthroat race and when you can shave your hot path by seconds, your solution can save hours in some cases. So, it's an interesting niche. i.e.: It's no ordinary boilerplate, and worthy of publications in academia.

While I worked with dense matrices; the effect, difficulty, blood sweat and tears are still there.

When a model can give back your hard work back to you with a "completion" without attribution, that's bad.

Edit: Somebody just posted this below [1]. Added here so it doesn't get lost as the discussion grows bigger.

[0]: https://x.com/docsparse/status/1581461734665367554

[1]: https://news.ycombinator.com/item?id=50509252

When you start to work with low level constructs like that, there really is no room for "artistic expression". Meaning if you want to write a piece of code that does something _optimally_ and correctly, you really, really only have one way to write it, especially in a language like C. Yes, formatting might change, and you could try to force some code acrobatics to make the code look different, but at the end of the day the code will look exactly the same. If you look at Linux socket opening code for various libraries, nearly all of them will look identical because you just need to do the same exact things to make the operation work properly. Same applies to fast math code. Any artistic liberties will almost surely cause performance regressions compared to the optimal solution, unless the LLM comes up with something truly unique. So if you task models to output high-performance low-level math code, most of them will likely spit out something from their training data near-verbatim rather than pull off code gymnastics and invent something new.
Sorry, I'll disagree. When you write high performance code like this, there's no artistic expression, but different approaches.

These algorithms' design starts on paper, as pure maths. You get the analytic form, and convert this to numerical/discrete form and start to design from there.

You need to add normalization, subnormal number prevention, maybe some architecture specific optimization if you are targeting a specific CPU generation, etc. Then it gets optimized further as you run tests, profile the code and run your test cases.

So, no two BLAS package looks the same, because they make different trade-offs, have different programming models, and handle things differently, at different points. Even more so, a newer generation processor with much higher FPU performance can have lower performance than previous generation, so you implement another copy of that function or add to detect that processor and have different paths just for that one.

IOW, when doing numerical maths on processors, esp. if you're doing this on many machines with MPI or multiple cores with hand rolled code or OpenMP, there's no single way. Maybe a best way for the specific CPU or cluster topology you have, but it still depends on the trade-offs and design choices you made in the very beginning.

I disagree.... Plenty of fast code in C is jam packed full of macros to try and help the optimizer produce the exact sequence of operations the writer had in mind, whilst still keeping the code readable.

The design of those macros is more art than science.

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Emailed the author of the Rust book Zero to Production a year or so ago about how his examples were being used verbatim in the output of AI systems. I own the book, yet I could inadvertently get any of its examples just by asking an AI about one of the book's concepts.

He basically said, "I know, there's nothing I can do."

Thats pretty much everywhere or was in raw form in the beginning. I used to do a fun exercise of searching for the explicit human comments for verification. Comments can be considered novel and unique, so you pick up some comment from popular open source project and then describe LLM for a similar functionality and add part of the comment. The response would have the complete comment for almost 70% of the time.
> I can’t seem to find anything more than a highly generic snippet of code or a coerced continuation.

You’re disqualifying any example that people may provide preemptively. No wonder you’ve missed them.

No, I’m disqualifying those two cases.

By “forced continuation” I mean the type of example that was popular for a while where someone would feed a lot of text into LLMs and then ask it to continue the text, then be surprised when it some times predicted the next tokens identical to the original example.

Do this enough times and you can find “examples” that prove your point, but it’s highly automatable so people were using it like a million monkeys at a million typewriters.

Pasting a wall of text still doesn’t necessarily lead to verbatim regeneration. There are simply too many correct permutations of text for yours to be correct conclusion.
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Mind sharing which repo that was?
Notices are not enough, you need to be willing to sue.
You can see that even with these licenses, they do not care and see free and open source code as the freedom to not pay for it. As long as the cloned output is "good enough" they will continue to keep using LLMs to clone everything else regardless of the license.

They know you can't enforce it as it will cost you a lot more money to do that than it takes to recover the damages.

So to them, it is just cheaper to clone it using an LLM and close source it down. Unless you have a lot of money for litigation, the economics of free and open source software with its licenses do not work with LLMs bypassing it at every single angle.

Can an LLM write unseen plots with a greater dialogue ?
If the plots are "unseen", then to what are you comparing the "greater" dialogue?

A book with a different plot? That would be obviously unrelated to the comment you're replying to?

I agree their phrasing is a little strange but I feel like the meaning is still clear. They are (I believe) saying that an LLM can’t generate anything other than facsimiles of existing content. It can’t actually explore novel ideas and branches, it can’t innovate and create on its own. Everything is inherently derivative yada yada, I don’t mean it in the usual “everything is derivative” way we often refer to when people make music and such. It can’t ideate and express something personal.

I think there’s a lot of nuance and caveats to that kind of claim, assuming I am representing them correctly, but it’s a valid stance and I see where they’re coming from.

All possible books live somewhere in L-space (ook). Exploring that space efficiently is equivalent to creativity. The claim is that the space that LLMs learn is somehow sufficiently limited that it doesn’t contain novel ideas? I never saw a convincing argument why LLMs output can not be considered creative.
But LLMs don't "explore" L-space, the training process just maps all of the available conceptual landmarks inside that space. There are still enormous (infinite?) tracts of unmapped territory that LLMs never reach, and that's exactly the space where novel ideas live.
OK, I still an confused about what point the extension of the analogy was trying to make, because I didn't consider the parent comment to be arguing for or against LLMs being able to be creative.
I'm suddenly connecting unseen plots with Unseen University
Seems like this might be true given current implementations but not ANY implementation of the technology.

If we’ve mapped all of English, there are still ways to construct stories that haven’t been told from the mapping. The most simple would be a subtraction of all objects minus all objects that have ever been used as a murder weapon. Leaving you with a list of never before used objects at your disposal.

There are also probably close vectors conceptually but not in semantic use. Or trying to interpolate or extrapolate what exists in voids of space. Turning up the temperature and adding random generation of words. There’s tons of ways to tune these things to be more creative than regurgitative.

I’m curious what programming languages was it for? And did they open source their version?

It’s interesting because these developments are actually an argument for making closed source software moving forward if you’re hand-crafting it make it the most restrictive license possible and don’t show the sources.

But I don’t agree with the OP everything should be open sourced. For instance, there’s a difference between deliberately steered AI work and something completely vibed. The former takes deliberation and creative choice, the latter will spit out fragments of prior art.

It’s the same with all generative work. Using diffusion models with controlNet (or equivalent) I can pass in a sketch wholly from my line drawings, and ask it to paint for me. That’s my design, assisted by AI, and should be completely copyright by me.

Coding agents will do the same thing when given sufficiently unique inputs. So, the claim all should be open sourced by default is flawed.

> and don’t show the source

At this point, LLMs can just parse the machine code in your binary.

By doing closed source you are making it harder for the good guys (humans trying to learn sth or contribute) but not for the bad guys (LLMs getting trained or otherwise reading the code).

That’s fair but it takes deliberate reverse engineering to extract code from a closed binary, and you might land at something inferred, but generative AI is not being trained on reverse engineered assembly unless it is task-specific model being trained for that.

But you’re right, the fact is we simply live in a different world today and it’s tough to say what is the path forward.

But it’s harder to justify giving to the public when companies are making money on our work. It’s not a good situation for creators across the board unless motivations are purely altruistic.

Copyright as it exist is meaningless.

It didn't protect you. It only protects corporations rich enough to get enforce their IP.

At this point it is better that it goes away.

If it goes away for everyone, sure. If it's selective, nope.
It is selective and that is fundamental to its implementation. You must have resources to defend your copyright and if you don't, it's meaningless.
It will be selective: the law is meant to protect billionaire corporations from you, not the other way around.

There was a case about this specific issue, and in order to protect billionaires from coders they effectively declared AI models "natural persons". 50+ times in the copyright act you will find only natural persons can originate copyright.

https://www.courthousenews.com/coders-lose-appeal-in-copyrig...

To give the money to billionaire corporations courts ruled DIRECTLY against established law. How much do you want to bet that when it comes to protecting ChatGPT AGAINST OpenAI, when it comes to protect Claude against Anthropic, courts will immediately do a 180 and declare them programs again?

If you look at past cases, it gets much worse. In order to justify a conviction against libraries using DRM to enforce lending, and because old licenses of course have zero language about digital copies, courts were willing to state that making a copy for fair use is not allowed if there is the mere potential for damage to the authors, as judged by the authors EVEN IF THE LICENSE EXPLICITLY ALLOWS IT. Of course, applying this to the above court case, there is no possible defense for OpenAI, after all, by that standard, the open source license doesn't even matter! That's how the law works for billionnaires. Outlawing DRM based lending has destroyed library access to an incredible amount of old works, and effectively denied access to old movies to Americans (because maintaining enough working physical copies over a large area is impossible). Whatever excuse gets the money to the billionaires!

There are many other totally absurd court judgements. For example, in order to get convictions where people didn't re-upload they had to judge that copies in buffers are also "distribution". NOT for billionaire telco's of course. Only the ones in your house. So courts judged that sending from your modem to your computer is distribution but sending over 1000 routers from Los Angeles to Athens is not! WHATEVER protects the billionaires.

As for this court case, obviously it is trivial to make a ML model that just outputs what it gets as input. Make a byte transformer, and just have diagonal matrices as layers. Boom! Done. You can also make it somewhat smarter. Let's make it copy, but make snow white a 220 pound black dude. There is a severe lack of color in old Disney movies anyway! You know, so there is no argument about transformation.

This obviously transforms its input. It's in the name. It's the EXACT same thing as ChatGPT, which according to courts originates copyright. Now run the Disney movies through it, and they'll be byte-identical BUT transformed to the input.

How much do you want to bet they'll still rule the money goes to Disney? Microsoft? So you can bet your left testicle courts will judge for selective copyright enforcement. Finding some excuse so the money keeps flowing to billionaire corporations, that's all courts do.

This is a very clear agpl violation. FSF should be all over this and sue the living crap out of the AI companies. You could even get it class action by gathering a few agpl code authors.

People in this thread are acting like the AI companies are just flouting the law and there's nothing that can be done. This is an extremely well documented precedent, and GPL violations routinely show up in court. It's a very easy case to lay out especially because no one is really complaining about money except in the settlement... It's all about distributing the source code. And of course a very nice chunk of change for infringement but that's beside the point.

A successfully litigated case would result in the open sourcing of every AI that touched agpl code in any way because it was in memory with the AI algorithm.

> This is a very clear agpl violation

clear in what way?

As clear as "can I take a copyrighted photo, use a photoshop filter on it, and then it's not copyrighted anymore?" is pretty clearly a solved question in any copyright system.
I think that this is actually a complex topic in copyright law that requires case by case analysis. It clearly is possible to cut out things from magazines, glue them together to form a collage and create a copyrighted work of art. In my naive opinion sufficient photoshop filtering can thus create a new copyrighted work.
AGPL states that anything in-memory with AGPL code on a server is now subject to AGPL. Fairly clear to me. https://spdx.org/licenses/AGPL-3.0-or-later.html
It doesn't say that. Your thinking of dynamically linked code. In-memory makes it sound like two programs loaded into the same stick of RAM.
What's more dynamically linked than something unexpected the user requested, but it was brought forth upon demand?
It means a dependency for the program not data for the user. Uploading a GPL file to Dropbox doesn't make everything on their server GPL that would be crazy.
People who haven’t had this happen to them really don’t understand what it feels like. It feels very violating. You almost don’t believe it’s happening when you see it. You’re essentially watching somebody pretend to be you.

I think that’s why so many of us get so angry when people just dismiss the theft claim. They either lack imagination or experience. We can debate it and that is valid, but to dismiss it out of hand is not right

What should be a developer's position that's about to release software entirely written by him/herself? Are there any legal frameworks to protect open source developers at all?

It also feels like a very discouraging time to release anything that you put a ton of effort just to get someone in minutes to steal your authorship and leave you as if you actually didn't do anything at all? Am I wrong?

If you are releasing software open source, why are you upset when someone "steals your authorship" ?

If you don't want your code copied, then don't open source it. If it bothers you that others are going to look at and "get inspired by", "make derivatives of", "copy", "fork", etc then you shouldn't be putting it out in the open.

Even the MIT license requires that the notice of authorship remain intact. It is copyright infringement to remove it in a distributed work.
I think you don't understand how open source works. If you release open source software under for example the GPL you still need to comply it.

You still have to give the source back and attribution has still to be maintained of its original authors, regardless if is a fork, a derivation or whatever you want to call it.

There are situations where none of these clauses have been complied nor its violators faced any legal consequences. That's what I'm talking about.

Now on top of that you can basically instruct and LLM to generate variations of what someone released and cover that up under the excuse that is a different project when is actually not.

Because it has been generated by a computer then we go into muddy waters about if the code generated is to be considered stolen or not.

Edit: Effectively what LLMs produce is authorship and attribution dilution.

That's not how copyleft works. You want your source to be open and the source it's part of to be open too, because at the end of the day this is not about your source this is about users being free.
> If you are releasing software open source, why are you upset when someone "steals your authorship" ?

because I am not releasing it into public domain, but under license that requires (for example) attribution or releasing derivative work under the same license

lolwhat. You're effectively just saying "there are bad actors who will flagrantly disrespect your code license and therefore the law, duh. So y are u mad?"

People who care about being respected on the most basic level are not going to stick around in a community that disrespects them. I'm not the person you were responding to, but I am mad because the social contract (not to mention the legal contract) of open source has basically been destroyed, and a lot of people have poured a large portion of their life into that community based in part on the assumption of that contract being upheld. Imagine a social contract that is important to you being violated to such a degree that you cannot go back to that society.

Even if your photograph is free for people to use at some point you would like people to be able to work out that you took it
> It also feels like a very discouraging time to release anything that you put a ton of effort just to get someone in minutes to steal your authorship and leave you as if you actually didn't do anything at all? Am I wrong?

Don't worry; the "developers" who generated your code will get their own law back when they find out it's almost impossible to monetise their theft.

I'm frequently amused by the number of "developers" on HN who claim that they poured weeks or months of effort into some product, and that they are the differentiating factor, but can't see that their weeks of effort can be cloned in a few prompts once they release.

> They either lack imagination or experience.

I think they just want to be able to take whatever they want without consequence, so it's convenient for them to define it as being different from theft

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The problem I have with people with your maximalist view of copyright (maximalist when it comes to AI at least) is that many, many problems have a finite number of sane ways to accomplish a given specific task. Here, you're asserting copyright over the verbatim code (obviously that one's fair by any reading of the law), but even this other version that is "bad" is somehow also your property?

I know software patents, the worst idea in IP, do exist, but I think they're as toxically bad an idea now as they were decades before AI, when they were first invented.

You shouldn't be able to own an overall implementation idea. If you can, then Microsoft, Oracle, or Meta can too, and can start suing everyone for 'ripping off' an idea that they happened to come up with first. In that world, you'd have to consult a copyright-police AI (ironically) after every function you write, to scan it for ideas someone else has claimed. "Sorry, the function PadStringL() in this JavaScript is too similar in implementation to str_lpad(), from an AGPL library for perl that was released in 1998."

> After many months of fighting, they had an LLM clone the system.

Reads like a non-ironic version of Malus: https://malus.sh/

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> Harry Potter, with the same plot, but bad dialogue.

So Harry Potter?

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so if you ask an LLM to rewrite Wizard People, Dear Reader you'd get Harry Potter?
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Doe v. GitHub already decided (I'm simplifying, read the actual thing yourself) that LLM output is not automatically open source - or specifically it doesn't infringe on the open source training material and doesn't inherit the oss copyright notice.

Thaler v. Perlmutter (again simplified) showed 100% AI output can't be given any copyright.

The directions the current cases are going are very much opposed to that idea and I wouldn't expect things to change in the opposite direction.

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The article contradicts itself.

It's important to remember that the purpose of the license is to allow the copyright owner to exercise their rights in a manner they deem fit. Even if they choose to give the code away, that choice is captured in the form of a specifically worded license (MIT, BSD, etc.).

This means that licenses exist because code is copyrightable in the first place, with the license governing the use of said copyright. If AI code is not copyrightable, then no license can govern it.

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> It's important to remember that the purpose of the license is to allow the copyright owner to exercise their rights in a manner they deem fit.

Just as it's important to remember that the purpose of regulations like copyright and patents are to promote the progress of science and the useful arts.

We're not locked in to a suicide pact with what the Founding Fathers decided back in the late 1700s. Congress can decide that all LLM-generated code is automatically covered by -say- the GPLv3, even if no one holds the copyright to it.

If the absence of a particular person to hold the copyright twists your knickers, you could go a bit further and -say- decide that the people of the United States collectively hold the copyright to all LLM-generated code that's generated by US people or entities, and that relicensing of a particular piece of LLM-generated code must be agreed to by every US citizen that was alive when that code was created.

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I really have to wonder what context this person is operating in. The vast majority of software written in the world is proprietary, written for a company to aid some business process, and ridiculously specific to its use case, and freely intermixed with proprietary business information.

“Open sourcing” is not just a legal state, it’s an affirmative act that takes work to prepare the codebase for public consumption. Saying that all the weird business code in the world should be involuntarily publicized is an incoherent concept. What precisely would OP expect to happen in a world that adhered to their opinion? Because to be clear, 90%+ of all code being written today is LLM-generated, so OP suggests that companies should no longer have any privacy wrt their internal software, all LLM code just gets yeeted into the public. How could that possibly work?

Given how easy it is to write software now, this perspective seems to overindex on a past state of the world that no longer applies.

> Given how easy it is to write software now, this perspective seems to overindex on a past state of the world that no longer applies.

This opinion by OP also assumes that code itself has some form of value. With the ways LLM work now code by itself is nigh-on worthless and as the models are becoming more capable, the value of code keeps going down.

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Kind of a silly position. I mean, if it's you're code verbatim, then yeah, it's a violation. Shouldn't be allowed. But like... it saw open-source code and therefore all output must be open source? I don't know about that.

Here's where I can get on board. I think people should be putting AI to work to improve everyone's lives for free. Your version of "should" is like "we should make this a law." My version of "should" is more like a moral recommendation -- we should be using as much of our subscriptions as possible to benefit everyone instead of enriching a handful of people. I view it as a natural extension of the spirit of free software to begin with. Software should be free (as in freedom), and we finally have enough development power to make real headway on that.

Strongly disagree.

Just because AI was involved doesn’t mean significant human thought and effort didn’t go into the production of those artifacts.

My agentic software development loop requires heavy involvement of real-world feedback. The ratio is huge. 20 mins of agentic software coding against hours or days of testing, trying it out, real-world contact, thinking about what feature is next or what tweak would make it more usable, smooth, intuitive. That feedback is baked into the product. Forcing it to be open source steals all that time and effort for me, and takes from me the decision as to how and whether to open-source it. So you mean the code that I’ve agentically written to help manage my private financial affairs (on local models, for privacy) or my kids’ complicated school schedules must now be open sourced?

My manners begin to fail, so I’ll stop here.

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I have some projects I've been working on over a year. Sitting down working making design decisions. Research. Using ai doesn't mean I did no work. It doesn't matter if the ai was trained. I still did work.

I don't understand this view point. Using ai and making high quality stuff is not pushing a button. Its hard. It takes real effort and diligence. And you have to pay actual money out of pocket to deliver it.

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This article is mostly ragebait, and it's claim is hollow when looked thru the lens of computing history.

Let us skip the whole Bell Labs C/C++/unix/sh/ksh -> BSD csh/vi/bsd/tcp/ip, and other proprietary unix variants/utils and focus instead on today's landscape.

There are two axes we can partition the whole ecosystem. Free/OpenBSD, Clang/LLVM, musl, busybox, X11/Xlib, sqlite, postgresql, nginx, Python, Go, Rust, many embedded rtos, vendor sdk, utilities etc.. and then there is Linux/GCC/glibc, etc. Along the licensing spectrum there is GPL and then the rest of the permissive licenses MIT/BSD/Apache etc where source code publishing is not a requirement.

These permissive license offerings are more prevalent compared to the GPL offerings and as such one can gain all the knowledge needed to build a fully functional system. LLM could memorize, or copy the pattern, so even though it is not a clean room, courts seem to be ok as long as things are not spit out verbatim.

Add to this, the fact the there are tons of research articles, user manuals, RFCs, so one can learn and understand how to build the needed reusable component if small and give their own prompt (and bugs) and and let LLM do as user described.

In the US, purely AI-generated code isn’t copyrightable, but it also doesn’t mean you have to publish it. Also, putting an open-source license on code nobody holds a copyright to has no legal effect. So, ethically or otherwise, there is no strong and convincing argument that open sourcing is the right thing to do.

What 'creators' could do is to compile a list of all the frequently used permissive licenses that are applicable to their system and just make it part of their software license attribution.

[1] https://redmonk.com/sogrady/2026/03/25/open-source-licensing...

[2] https://arxiv.org/pdf/2211.15533

Whilst the first training sets would have used Stack overflow and open source projects.

I have my suspicions that the AI companies have been using reverse engineering to gain more training data.

Ethics don't really concern these companies so...

When you have essentially infinite compute and are constantly looking for more training data. To me the next logical step is to start reversing compiled programs.

It could also explain why these AI models are so good at it too...

How do you copyright stolen material?

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The other take is AI code generation machines are directed by human inputs and will never start without that human input, so therefore it was created by a human.

Much like how a photographer 'just' clicks a button on a machine and through a very complicated process it creates media, so does the human who makes media via an AI machine.

I think because of how corporate power works and how much money is at stake this will end up as the end result. Laws are made up by humans and a majority vote in a parliament can set this to be so, previous rulings be damned. And most treaties never really ever think about how media was made because this was never an question until recently. Copyright are not constitutional rights in most counties.

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I mostly agree and have pretty much every one of my projects open source. One in particular, though, is not. And that is because the design of it is heavily domain specific and is built on loads and loads of experience. Not sure how to reconcile that...
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I’m confused. Is this article meant to be a scholarly legal argument (albeit, by a novice)? Or a normative statement about what the author would prefer?

It certainly doesn’t seem to be about practical solutions. It doesn’t even touch on the ramifications of its suggestions. I’m pretty sure that it would be a massive boon to data center operators and cause most of the readers of hacker news to lose our livelihoods.

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Personally I am less concerned with all AI generated code being open source. We will very quickly be drowning in a sea of code, and who even wants to see it if it's easily re-created by AI? Eventually everyone will be using AI and I don't think it's feasible or makes sense for all code to be open source. Personally I _would_ like to see all models trained on public data become open-weights. To me it seems unfair to let a few companies lock up all the value of the collective works of civilization without providing something back for free.
> purely AI-generated code is not written by a human, meaning it should not be copyrightable

There's a lot of room in between code that is closed-source and code that is "copyrightable".

Should code crafted via cut-and-paste from StackOverflow be open source? How about newsgroups before that? What about apps that use "no code" tooling? Is there a threshold for the use of external libraries and packages that cross the threshold for "that code was simply scraped from the internet and used without permission or proper attribution"? How about code I wrote while using auto-complete a lot?

I appreciate the author's sentiment and recognize that LLMs have aggregated the work of many, many people. I'm guessing their work wasn't wholly original either, like so much of the code I wrote before the age of LLMs. Whether those people whose work has been aggregated to train LLMs own that work - those ideas, those thoughts, those strategies - is exceedingly complex and (I speculate) largely won't hold up to real scrutiny.

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I can understand the case being made on "purely AI generated code."

But thats also why its buggy.

As soon as I start refining it, and commanding the AI to fix the mistakes, this argument starts to lose ground fast.

The tech community has adopted open standards for as long as I've been alive, and the AI is using these open standards as much as it is actual code.

Perhaps an open standard to prevent code from being used as training ( it probably already exists, i dunno ).

Methods to detect it ( I've seen that showing up recently. Using AI to detect AI. )

Some sanctioned actionable penalty under provable circumstance as the resolution ?

You can see why the copyright office wants to treat this as any other thing.

The details of proving claims get complicated quickly.

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He’s not wrong, but I would argue a better model is the Derivative Work. This already exists in copyright law.

If I write a space opera that is a LOT like Star Wars there are major legal implications to this. If I write an original work of science fiction involving a weapon that destroys planets as an allegory to the history of the atomic bomb, I’m probably in the clear even if one of the characters is a furry alien with a laser sword.

The challenge now is how to apply that framework when nobody can see the original or resulting code.

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Do we still care if its open or closed? Isn't reverse engineering basically solved anyway?
What's wrong with this website? When I open it in Safari on macOS, it consumes all my RAM. 20GB to start. I got a system warning to force quit some apps to maintain stability (which was a first in 5 years). When I closed other non-Safari apps, Safari usage then went up to 30GB.

Quitting and relaunching Safari, then returning to the site, produces the same results. The process for this website is what is using the RAM, it persists after closing the tab, and needs to be force quit.

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Two points I think making AI-generated code opensource Point 1: AI can (or will be able to) reverse engineer all code from how the program works. Thus, there seems to be little point in opensourcing AI generated code because it can just be reversed engineered

Point 2: Correct me if wrong but can AI generated code actually be copyrighted? If someone just keeps prompting but not touching the code would this still be considered pure AI generated work? If this is the case then point 1 and point 2 basically means AI generated code is already open source in effect if not in name.

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Alternative view on the problem. if code is really a solved problem , open source becomes a security problem? with all the attacks happening mostly on open source projects, it is not farfetched that a secure bank system will be ai generated with core libraries implementing everything from scratch, including runtime. Big business, big problems.

This idea of no libraries/external dependencies sounds extreme, until you got hacked by a tiny library for http calls and that cost you billions of losses.

By that logic, LLMs that were trained purely on proprietary code should be allowed to generate proprietary code (Microsoft, Oracle, Apple, etc. should have a quite large codebase when combining all their products).

And then again, I wonder which license should be used. Is this a case of copyleft, and therefore everything generated should be something like GPL, or is it more like public domain because no copyright can be exercised?

The article is right. If no human effort is involved then the code should be open source. The article also implies a very detailed line too. It doesn’t say that the human effort part can’t be copyrighted or intellectual property.

As an example, I have developed a set of grounding guidance for my AI models at my work. The specific grammar and vocabulary belong to my employer. But I also have a clean-room version of it that completely strips out that proprietary infringing information while still retaining a similar semantic structure. That will be posted next month on my GitHub under a GPL-3 license like I do with my other non-infringing AI-assisted work.

Definitely agree with that in concept, but there really a fact that nobody realized until recently after all the game decompilation/mix-ups: LLMs can read assembly fairly well and traditional obfuscation techniques doesn't really work on them, so if you have access to the binary and a disassembler, an LLM agent will be able to reverse engineer and reconstruct the likely high level source code of most software given enough time anyways.

In other words, almost nothing is closed source to LLMs if they have access to the binary.

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> developers more and more rely on AI without even reviewing the generated output, let alone modifying it to fit their specific needs. Code like this, where humans put little effort, except writing prompts, should definitely be Open Source.

A person's contribution here is difficult to measure. This statement reminds me of one of my older bosses who priced software per lines written.

An AI-generated software's quality reflects the author's vision, taste, and expertise (if any). These are there regardless of the number of lines reviewed.

I would've supported open source for completely AI-generated apps including the conception of the idea.

RMS would be proud with this post though.

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In a way all LLM code is already open source. We all have open access to the system which generates the code. All you need is the prompt, so that is the non open element.
> The second reason is legal: purely AI-generated code is not written by a human, meaning it should not be copyrightable

I think that's the actual point here. AI-generated code shouldn't necessarily be open source, but it is not (or should not be) copyrighted. You can still keep it as a trade secret, but you have no legal protections that prevent others from reusing it once they have access to it.

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It seems pretty clear-cut to me. AI companies plundered the commons, but the commons have licenses that come with them that clearly state that their use and derivatives thereof must also include the license and be open source.

This is a chance for great good for humanity and for the AI companies to do the right thing for themselves and for all of us.

Not releasing the code as open source would be just... well... evil.

And a further question arises for me: If we don't start sharing the fruits of the machines now, then when?

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I agree with the spirit of this. I'm a longtime open source developer and generally prefer GPL for my manual code. For my AI-generated code I'm using a multiple choice license of Apache, BSD, GPL, MIT.

If you're curious, here's my newest open source which helps build Rust web services along with Axum: https://github.com/publicprojects-io/axa and you can see the LICENSE.md file.

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Valid point but this will happen due to market forces rather than moral reasons. Anyone can write code now using AI, so charging for the code itself is getting harder every day, and only the trustworthy people will get the distribution.

The rest of the code will be open source, see how many open Wispr flow alternatives are there already, everyone has same features.

"To make things fair across all jurisdictions"

PLEASE stop right there. Nations are sovereign, they decide for themselves if/how far copyrights are enforced. Let's keep it that way. There's enough [800lb gorilla meddling in other's affairs] as it is.

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There's a decent change that AI makes closed-source software not really a thing anyway. So it'll either be open or unreleased.
I get the sentiment, but how would you prove a negative? You can get "caught" using AI, but not having been caught does not and can not prove you didn't. Given that 99.999% of projects now use AI to some extend, the logical default assumption is going to be you are probably not in the 0.001%
Why only code? What about music, movies, images? If AI generated code isn't copyrightable, why should they be?
Related question I just thought of reading this: if you are an employee at a company that you know 100% AI generates its code, and AI-generated code is not copyrightable... is that employee legally allowed to leave the company taking a full copy of the source code, and set it up as their own business?
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Your employment contract most likely classifies it as a trade secret.
I agree, but also, any code that a company can generate and use, an open source solution can generate and release, effectively eating the corporation’s lunch in many cases.
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Open source is not always open source as we all know there are so many different flavours of it. How do you make that distinction when using AI to generate your code?

This is a debate that we need to have before it gets event more muddier.

{"deleted":true,"id":50507728,"parent":50507303,"time":1794757118,"type":"comment"}
No, copyright protects works made by humans.

AI generated code should be (is?) public domain.

All 100% ai generated assets, art, music, text should be free and open source too.
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What is user changes 1 line? 2 lines, 3 lines...? The concept is well intented but I doubt you can enforce it.
Fully AI output from a single prompt is not copyrightable (in the US). Is fully AI output from a sequence of prompts not copyrightable? If it is, at what point does this change?
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I use AI to develop apps for manufacturing but I still have to think and point AI how things will work together. If I simply tell AI to develop something complex most of the time it will do a really bad job doing so. I do have a coding background but with AI I can focus on other things and use the time I’d spend coding to work on other problems.
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Even code generated for government organizations with various levels of secrecy? Not gonna fly.
The code may be non-copyrightable, but the business logic may be proprietary and a trade secret.
Could LLMs be considered derivative work in the sense of the GNU GPL?
There is so little value to most code produced with models these days I just don’t see the point.

The real value ends up being found in software where there is a person behind it continuously refining it into something others will look at and say “Someone clearly paid attention to this.” Models can’t (yet) reproduce that because they can’t/don’t go interacting with users or asking bigger picture questions.

Whether someone is producing that software with a model or not doesn’t change much about the ownership picture to me: it’s the person that owns the project, and the LLM is a tool.

Once again, it all comes down to it being a tool and how it’s used, and there are no useful blanket statements that can be made about it (or how the tool’s output should be classified, legally or otherwise)

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A pre-cursor. All AI models should be open weights/source to begin with
All models should also be open source and socially owned. All of this output is the culmination of human knowledge and should be treated as such. I get this is about copyright but I don’t think people are thinking big enough with this stuff.
As the cost of producing software approaching zero. The legal side go down with it.
Does it matter at this point when you can generate the same code easily with the same AI model?
You can't? Do people really think software is just prompt and done? People seem to forget software isnt just writing code, its solving really problems, and architecting. Coding was a small part.
If you put your code online just assume it's gonna get stolen and you'll never see a penny
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AIs don't have copyright at all. All AI generated code is public domain
If AI services that created the code were free, I agree with the sentiment.
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This article makes no sense. None of the arguments are sound and conclusive. First argument: Non sequitur. Programmers were also trained by open source software and from stack overflow and stack exchange. That's not a sound reason for their programs to be open source. Second argument: AI-generated content is not copyrightable. If that's the case, then it cannot be open source since open source licenses rely on copyright for their enforcement. The author confuses public domain with open source. Public domain and open source are two completely different types of categories with different legal implications. Third argument: This contradicts the second argument. Now programmers using AI should publish their code under an open source license or under CC0. That's a demand. Not everybody will do that and no argument is presented why they should do so. Fourth point: Not all code is a hundred percent human written and a hundred percent AI written. The author concludes from this problem that "Code like this, where humans put little effort, except writing prompts, should definitely be Open Source." There is no argument here at all. It's another personal demand without justification.

At least, the author should try to back up their demands with further justifications and make them less contradictory.

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This post is so close to getting it ;)

Looks like the author wants to abolish copyright in a very round-about way. They are saying that AI-generated code should be released under CC0 due to complexities around the status of software copyright in various jurisdictions.

But if the concept of copyright was abolished as a whole, then licences such as GPL would also lose their power. Some people say that's a negative thing, but I do not necessarily think so, because it achieves the stated goal of the GPL, software freedom (i.e. you don't need to be granted a licence to copy and modify things)

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> First of all, AI models were trained on a massive corpus of Open Source code written since RMS announced the GNU Project and the Free Software Movement.

I too have trained on the massive corpus of open source code. Should everything I code also be open source? Or only if I leverage an artificial neural network as a prosthesis to enhance the capabilities of my natural neural network?

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I completely agree with the OP. What irks me the most is that Amodei has trained his model on someone's else IP and now he wants to resell this to people and has the nerve to complain about distillation. Distillation should be god given right. I guess that is why they took down Jensen.
The answer is obvious. If you want to protect your code, invent a new programming language that does weird things that make it difficult for an llm to learn.

Joking of course. Not sure copywriting code ever survives the AI era.

What’s the point, if you can generate infinte code?
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Essentially you're saying: AI companies are allowed to steal from all of us in order to make money, and in return they are allowed to read our private conversations and train future models in order to make even more money.
If humans are directing AI to generate code, it cannot be open source unless the human decides to make it. It is their vision that AI acted upon. So, i dont see the logic in this post or thinking. this sounds like an another altruistic progressive california thing
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This is like saying programs should be open sourced because binary is machine generated.

Llms are the compiler, and there are skill levels with vibe coding.

It's hard to respond to something so reductive. This is the "everything's already been invented" angle.
Show us the math proof you have under your pillow. If there is not any, you do not have right to anything.
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Well good news, I guess. AI generated code is public domain. It cannot be copyrighted.
Until a couple of years ago, learning was not considered theft.
if i pay for AI to generate code, shouldn't i decide what to do with it?

by that logic, anyone who learned to code from open source projects should make their own code open source too.

Good idea. We just have to pay for the human-written part. Same with medical research and new medicines, new energy technologies, robotics, movies and music, and future AI. Eventually, as AI does more and more, everything will be free and open source.

You've figured out a way to eliminate money.

I’ve been thinking a lot lately about how LLMs have essentially made all code open source in a strange and very capitalist way: They’ve appropriated our human work—without regard for any licenses—by force and without any compensation to the authors, and are now selling the code back to anyone who’s willing to pay for it.

But yeah, aside from that, I’m also releasing all my Vibe Coding games under the MIT license: https://github.com/retrogames23/

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Following this logic, there should be no fees at all on coding models, since they scraped the web on this knowledge. Same applies for books, pictures, music btw. This debate has not even started yet.
This may be the path to the true public domain.
I see you and raise.. AI should be free
I think copyright law has simply failed to keep up with the reality of technological progress.

I don’t really see a problem with LLMs slurping up and regurgitating the world’s knowledge, if it was all freely and equitably available, and more importantly had been beforehand. We’d all herald it as an incredible innovation. And in some ways it is even now, because I do have access to it in numerous forms.

The problem is that some author’s livelihood is adversely impacted by this, as copyright is (in a sense) what ensured their remuneration for the original work. So LLMs undermine the existing social and financial order in deleterious ways. It’s the same thing we’ve seen play out in mathematics, a bunch if tech bros show up with a powerful tool, use it in a brash manner that likely causes real harm, then worse, start pulling up the ladder when big media conglomerates complain.

I suspect we’ll soon be in a situation where we no longer have easy access to unfiltered LLM outputs. If your OSS project was in the training corpus it will still retrieve it. It will not, however, retrieve content from NYT or other protected sources. The end result is that small-scale, solo creators are damaged, and large-scale creators are still afforded copyright protection.

There is no way to enforce opennness. The LLM gives me output, I iterate on it by hand and with other language models, who does it belong to now? We are ushering in a post scarcity world for a select few.

Nice pitchfork but I've got a hot take of my own:

No one goes to an LLM and says, 'Make code'. More often than not (and with exceptions) there's a very specific problem getting solved. The distinction between human 'effort' (whatever that means) and Ai effort (??) is more or less arbitrary... Infact, it's almost xenophobic and snooty. Pre-Ai humans had other humans build something like x but with y specific features. If it wasn't a problem then, it's not a problem now just because people don't have to directly deal with another human. In the same vein, I think people are forgetting that sometimes projects are birthed by slapping together code (or an instruction for code) from all across the Internet.

So really... What even is 'purely Ai generated' code? Nothing comes from nothingness and generally I'd prefer the purest expression of my ideas be protected regardless of who wrote it... Human4hire or Chat.

EDIT: This article is unnecessarily upsetting. I don't even understand the problem when at the end of the day. A shit ton of the value accrues to all of us... humans! Not even the companies (atleast not so far). If Artificial Intelligence really is a utility, like electricity, then wtf is exactly the problem? I hope nobody really gives any real thoughts to policing Ai usage... It'd be as unreasonable as policing a calculator or pen and paper.

Manners force me to stop here.

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It is disappointing to see many people who espoused that copyright is bullshit now saying copyright should make people do what they personally want. I suppose it was never about freedom for them, only getting what they want when they want it.

Whether programs written by LLMs should be protected by copyright law is also an entirely different question than should the authors be legally required to release the source code under a specific kind of license.

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This article misunderstands copyright law -- citing an example that argues against it.

It cited Naruto v Slater, which unsuccessfully argued that the copyright for a monkey's selfie belong to the monkey, not to the owner of photography equipment.

The courts dismissed the case as animals cannot hold copyright.

---

While the courts did not rule it, the apparent copyright holder is the photographer Slater who received royalties.

This is directly analogous to AI code, in which a human did not directly author the characters but regardless had "significant creative contributions."

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My patterns for loading data into Python is pretty much the same everytime with polars. I didn’t create that - I looked it up from a book somewhere. Do I need to open source it?

The AI machine just went out and read a bunch of examples then adapted them, which is what lots of programmers do.

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At the end of the day you don't actually need to see the source code if you can just regenerate it yourself. If you use a later ai model, your code will probably be better anyway.
If AI generated code is not copyrightable, releasing it under an open source license is meaningless.
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Is this for real? If you get your way gosh knows the amount of "proprietary" software that would be open-source. Also really by this logic, even 5 years ago if I copied a method and made it my own from stack overflow or got an answer from there my code should have been open source. Kinda silly no?
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All LLM code should belong to the entity that hosts the model.
Code has lost almost all of it's value, who cares if it is open source. In a couple of years, you will say "make me a web browser" and 4 hours later performant, fully standards compliant web browser will be running.

The argument between open and closed source has little value anymore and will soon not even make sense to discuss. It will be like writing "2 + 2" and arguing over whether my "closed source" copy of "2 + 2" vs your "open source" copy of "2 + 2". When something is trivial to reproduce it becomes absurd to argue over who owns it.

Open source people have had half a century to figure out how to make money with fairly little success (aside from a dozen or so very notable projects, and looking at all my AI slop, I don't see one of these hiding in there).

I don't particularly care about copyright or whatever ethical arguments yo may come up with -- I write code mostly for money, as do my competitors -- if you can figure out a way to stop them from using AI, I'm fine with not using it either. I'm fairly skeptical you can close Pandora's box though.

That aside, we may see more software going in a source-available direction -- either that or full cloud. Up until now being closed source was a competitive advantage, but now it's trivial to clone even fairly huge software suites, so that's less of a factor.

Having the source may also become a bigger advantage for regular users than before -- given they can now vibecode extensions/plugins, or customize the software more than what a config would personally allow. this probably wings the calculus away from a Photoshop-style license, and closer an Unreal Engine-style license.

Either that; or everything goes full cloud of course.

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And everything that can be handled as a common should.

That is everything bar one own mind and body, I guess, but your lineage might vary, and for sure some people out there would rather be deemed owner of everything under the sun, starting with human corps and souls.

Yes.

Until and unless every creator and contributor of every piece of training data consumed by these models is fairly compensated for the use of their works, then absolutely everything created by these models should be 100% open source - including the models themselves.

All code should be open source.
Hot take indeed, and something I disagree with. If I am paying for AI, my code is my code, no?
Yes, and you take ownership over it.
Honestly, I'm cool with that if all AI models are also made open-weight.
If AI-generated code should be open-source, then if an AI generates the code for Pokemon red, does that mean that it becomes open-source? I agree with the high level idea, but the way it is stated is too problematic.
Well it is certainly not covered by copyright and to the extent it could be covered by trade secret is perhaps a debate.
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This will never happen because it would essentially destroy every corporation now, the economy, and therefore every politician's funding source.
The output of machine intelligence has to be available to everyone or we're just breeding a new demigod class. We should make it a public utility, like water or electricity.
I can get behind that.
I think the legal standard currently in the United States is that all AI output is public domain.

This means that all AI generated code is public domain at the point of it being generated.

Of course just because something is public domain that doesnt mean you have to release the code publicly. Public domain just affects what others can do with the output. It doesnt mean you have to release the code yourself.

The new Epic Games Store is apparently entirely vibe coded. So that technically would mean that the source code for it would be public domain right? But people still can't copy the store or do whatever they want as you have trademarks protecting it. And Epic is under no obligation to release the code..

I am not a lawyer. It's possible I am completely misunderstanding the situation. Is there something I am getting wrong?

> I think the legal standard currently in the United States is that all AI output is public domain.

This is definitely not true.

The only thing a court has ruled is that the AI itself cannot hold any copyrights. Not that there are none or that using LLM based tools removes all copyright.

>First of all, AI models were trained on a massive corpus of Open Source code written since RMS announced the GNU Project and the Free Software Movement. That code was simply scraped from the internet and used without permission or proper attribution. The models were also trained on Stack Overflow and Stack Exchange sister projects, which are released under Creative Commons licenses that legally require attribution. Turning this collective knowledge into proprietary, closed-source code feels like license laundering.

Strong argument, but the case that such a strong transformation should maintain the original licence only applies to my knowledge to GPL, which consists of a very small portion of the training set. Creative Commons would not even require the source code to be distributed, just attribution, which may already be the case by the nature of the models.

>"The second reason is legal: purely AI-generated code is not written by a human, meaning it should not be copyrightable. The foundation for this principle in the US goes back to the famous Monkey Selfie dispute, which established that non-humans cannot hold copyrights."

But no one claims that the AI holds the copyright, unlike Greenpeace which claimed that Naruto the monkey held the copyright.

Why do people think that people receive the gift of open source software are somehow obligated as a result of receiving that gift?

Yes, it was trained on free software. Why does that mean my privacy should be invaded now if I distribute binaries I made?

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There is still substantial human effort and R&D that goes into developing a complex code base with AI agents.
Downvoting sentiments that don't agree with the author's position is gross.
I think this misses the point a bit. All code should be open source. Full stop.
Have you written anything of substance? You wouldn't say such a thing if so.
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other copyrightable things aren't copyrightable if they're ai generated. why is code different? for clarity, i'm not at all being rhetorical, i don't know the answer to this question and i'd love some education if you're handing it out.
And AIs should be under libraries as AIs are the repository of all human knowledge scraped up without permission. Libraries are societies repositories/solution for this sort of access/use of shared knowledge like that used to create AI.
agreed. The problem is _which_ open source, because what we're probably going to slowly realize is most software will now be a public good and proper governance is needed thats indistinguishable from a public utility.

But we're not headed in that direction are we.

I strongly agree. Look at what we’ve done here:

1. Software had a strong movement of freely sharing all code because they believed this technology was too important to be controlled by corporations.

2. AI companies managed to create millions of RL environments from GitHub PR’s and similar, and train their model to learn what it means to code from all the human labour in the world from the past 30 or so years.

3. Companies now use these closed source AI models, to automate and fire their human workers who enabled this.

Something has gone seriously wrong here, whether this falls under copyright or not is besides the point.

We weaponized a fundamentally good instinct that generated a lot of value for society and allowed corporations to rent seek on all the data these humans generated to help other humans not trillion dollar corporations.

“Well we’ll give them a UBI check”, the AI company says which is a complete non-sequitur. It’s not about the money, most of us have saved enough.

The only solution that sounds good to me, is a model trained on Open Source Data must be Open Source and all the code it generates must also be open source. This is the only way to stop the coming rent seeking. Even mathematicians will be happy with this change!

I agree with you on most things but man

> It’s not about the money, most of us have saved enough.

This is incredibly detached from reality. Most software engineers care more about money than they do about abstract notions of software from. Most certainly have not saved enough.

Fair enough, Im talking about Bay Area software engineers, most of whom have saved enough. Maybe not enough to live in the Bay Area whose house prices keep increasing with no end in sight, but plenty for elsewhere in the US (or the world) for that matter.
Even if you modify it before using it, it's still based on open source (often GPL) code, so just everything based in part on LLM output should be open source.
The author needs to realize that this is unenforceable.

In fact I'd argue that free software and open source is economically dead and unsustainable because of AI generated code and almost no one wants to pay for their tools because an AI can generate the missing feature for them close to $0.

Maintaining it is another thing, but assuming that the cost of tokens get cheaper, why wait for open source developers to maintain it when a frontier AI model can do it for far cheaper and quicker?

I am just saying what the average manager turned vibe coder would say who will refuse to donate or pay for established open source projects that they use for free.

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it’s not a hot take, it’s something most people wont bother to read cause it’ll never happen.

the only merit or such claim is to maybe move the overton window a tiny bit. maybe that’s worth the blog post

We already have a growing discoverability problem in many areas of content and throwing more slop into the mix is not the solution. This place for example has become a dumping ground for people, usually with no other activity here, to advertise their shovelware AI projects.
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Here is a different angle. A programming language is a material like wood, aluminum, or stone. If you know the syntax and properties of it can you start trying to bend it to your will - you can make a ship, a satelite, or a children’s toy wihh tv the same language. You first have to spend years mastering the material and its limitations before you can bend it, so only a small number of the people who want to make stuff get to. Some people release open versions of a ship and a satelite you can start from, to lower the threshold of making stuff. They protect them to make sure giant shipbuilder doesn’t go making an army of their ships to kill their trade.

AI comes along and now grandma, who was formerly a midwife and teenager from home can start bending aluminum and carving wood with their words through AI. There are a bunch of open ships and satellites in the market, but Grandma is using her midwifing skills to ask AI to bend a new tool for her that helps turn breach babies around without requiring a c-section. No open source breach tools or medical tools on the market Grandma just needs aluminum and wood combination she would never be able to achieve without AI. She hammers down a lot - sending 1000 follow-up prompts to make the AI do stuff nobody has done before. Next her grandson decided to combine tungsten and wood to make a new toy that helps kids go airborne and land safely every time - like an egg-drop but for real life people. No open source code for that out there - he used the AI which knew the properties and the languages needed to get his idea to work. He hammers the AI with follow up questions and edits a bunch of the code where the AI defaults to the wrong setup, by trained convention. But he succeede. By this plan should they be allowed to copyright their work? Should their work be automatically open source so they can never monetize it either?

I will be the first to make all my work free and open-source once I can obtain air, clean water, basic food, shelter for myself and my family, electricity, heating, medicine, education and internet access for free.

Until then, I’m sorry, but I have to feed my family while we all navigate this goddamn global transformation process.

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Can someone help me understand who is still writing code by hand? Even though it’s been only 7 months since I stopped, it seems like such an outlandish concept to me. Can’t imagine opening up neovim and typing “const sm = …” nowadays.

I keep seeing posts like this (especially on reddit) that infer some people are still writing code by hand and its confusing.

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Articles like this promotes extreme views while we should be moderate on what should be OpenSource or not.

First of all, nobody must force OpenSource. Period. Second, such exterme views spawn extreme views in the opposite side.

Discussion is good, but this article is too draconian to be practical.

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This means “all software should be Open Source unless written fully by humans”, which practically means almost all software in the near future, which is a terrible idea for multiple reasons.
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No, but all models trained on public data should be open weights by law.
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This is like saying: All humans who learned from open source code should only produce open source code.
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