AI firm accuses rival of copyright infringement, makes up scary new term

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https://www.bbc.com/news/articles/cwyklykn5dwo

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The original was posted on /r/aboringdystopia by /u/saltyjohnson on 2026-06-25 09:51:50+00:00.


They call it a “distillation attack” when you use the output of one model to train another. As far as I can tell, the only difference between that and regular copyright infringement is that a “distillation attack” involves actually PAYING for the stuff you “stole”?

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Anthropic, I mean this with the upmost sincerity:

No one gives a fuck.


“They’ve stolen our rightfully stolen data!”, said the spokesman.


Aww, did the serial copyright violator get copyright violated?

No, machine generated output is not eligible for copyright protection. https://en.wikipedia.org/wiki/Threshold_of_originality

I wonder if US courts would agree.


Yeah, it wouldn’t be copyright. It might be trade secrets, though. And trade secrets can be made out of public data, but arranged in a way that gives competitive advantage (for example, customer lists themselves might be trade secrets, even if each entry is a publicly available set of name/contact information/job title/company).

If a company voluntarily discloses a trade secret to a member of the public, it ceases to be a trade secret, so I doubt that would apply here either.

Sharing trade secrets under the terms of a contract that dictates how one can use the information still retains trade secret protections.

Without a contract: intentional disclosure to the person who receives it generally destroys the trade secret status of the information, because the “owner” of the information didn’t do a good job trying to protect it.

With a contract: intentional disclosure to a person under the terms of the contract makes the contract’s own protections of the information relevant, and misuse of the information by the recipient can get them sued under the contract. Plus, the information itself probably retains trade secret protection so that even if that person gives the information to a third party who can’t be sued under a contract they never agreed to, there are still rights to protect that trade secret as property.

I’d be shocked if any paid API use isn’t under a robust, enforceable contract. The only question is whether the contract language itself effectively prohibits distillation.

I just pulled up the ChatGPT terms of use and there is no language covering use of trade secrets, so there is no contract covering trade secrets here. So what I originally said (and what you said in your “Without a contract” paragraph) is correct.

I just pulled up the ChatGPT terms of use

Who’s talking about ChatGPT or OpenAI?

I just pulled up the Anthropic commercial API terms, since that’s the situation covered by the original article (big corporation using Anthropic’s paid API):

Use Restrictions. Customer may not and must not attempt to (a) access the Services to build a competing product or service, including to train competing AI models except as expressly approved by Anthropic; (b) reverse engineer or duplicate the Services; or (c) support any third party’s attempt at any of the conduct restricted in this sentence.

Ok, so it’s a contract that purports to prohibit pretty much this kind of model weight extraction, and I’m saying that Anthropic probably considers the model weights to be trade secrets.

Are you under the impression that trade secret protection only happens when the contract says the words “trade secret”?

Or, analogously, consider customer lists. Having a contract that says “don’t copy my customer lists even if I sometimes disclose a single customer at a time when we partner together on projects” is probably enough to adequately maintain trade secret protection over those customer lists, even if individual customers are sometimes disclosed under a contract.

I’m just stating what I believe the law is, not what it should be, or even claiming that what the law is today is good. I’m just saying everyone should be aware that the law is quite protective of big corporations and their proprietary secrets. I still think this qualifies as a trade secret that they’ve protected with their own contracts.




Depends on the agreement. Contracts (like EULAs) can cover a fair bit

EULAs aren’t legally binding in sane countries.

Can you name a country where signing up for a paid account to an online service, and using the service and paying the invoice that comes in, doesn’t form a legally binding contract between the customer and the vendor?








Pot. Kettle. Black.

Depending on where you live it’s a good thing or a very bad thing.

It’s just two parasites slinging mud at each other.




Alibaba picking up Anthropic’s fair use strategy?

Edit: is there an argument for letting the US ruin its economy and environment to train all these models and then just swooping in before it turns into a mild madmaxian hellscape to distill and/or extract the knowledge? Beats having to do this on your own, doesn’t it?

Yeah. Any Co2/other climate change regressions that the US makes affect everyone globally, and while water use is local, its also as-needed, so post-collapse you have to use up all your water anyway.

AI could use solely graywater/non-water cooling and renewable energies, and that’s the answer, just takes slowing down, building specific and rigorous facilities, . Letting the US speed along just hurts everyone due to climate change.

That and every major company economically depends on each other, and disconnecting from the US in a way that doesn’t cause backlash also takes time.

Fuck america but don’t let them drill holes in the boat we’re all riding.



If your competitor can put out a model that functions really similarly to yours for $2 less per month, and your entire userbase can just leave and move to them… explain to me why investors would want to pump hundreds of billions into your business to be ‘first to market’? That’s a really dumb thing to admit for Anthropic.

Who is ‘first to 100 million users’ is utterly irrelevant under a business model where your sole value is Intellectual Property (IP) and that IP can be “illicitly extracted” by a clever competitor without ever hacking into your nextwork or doing anything explicitly illegal.

I’ve had to explain this to a lot of people who seem to think Anthropic/OpenAI are incredibly valuable companies because “they’ll make money long-term so long as they keep being pumped full of it investment cash to be the first to earn a big userbase”, but that just doesn’t make sense. OpenAI owns no datacenters…zero. Theyre 100% IP. Anthropic “is building” some datacenters, but they exist on paper only so far, so they’re also presently 100% IP.

Can this obvious scam just collapse already so I can upgrade my PC without a personal loan?

I think your take is completely reasonable but I think the ‘first to 100 million users’ is actually noteworthy because if they can become entrenched and people become unwilling to learn anything else, they’ve won and can charge nearly whatever the fuck they want (at least in the medium term). See Microsoft and Adobe. They charge whatever they want for their subscription programs because what else are you going to do, use GIMP? Even in situations where the FLOSS alternative is legitimately good, a lot of people will still refuse to switch. I don’t think Anthropic can survive long enough for them to become the only thing Susan from HR knows or is willing to use, but I think there’s a path to profit somewhere here.

I’d argue that agentic AI by nature makes transition to a different model easy.

Yeah this is a key realization that I suspect most investors aren’t privy to. With proven viable local, accessible, scalable, and energy-efficient 2TB infiniband clusters and routed multi-agentic stacks of open source models constantly nipping at their heals, achieving longterm market dominance for any of these AI developers is simply a tenuous prospect.

The only legitimate option is to maintain a meaningful lead at the cutting edge of performance and/or offer a superior efficiency/value proposition via SLA guarantees. Beyond that, the brute force options are limited to things like short-term market manipulation (such as outbidding everyone else for existing talent pool, chip manufacturing capacity, etc) or suppression of competition via regulatory capture.

In every case, above or below board, there is no permanent longterm global breakaway strategy, only treading water as long as investors are willing to inject enough funds to temporarily outrun market efficiency.

Once that reality sinks in… pop.



There’s nothing to “learn”. Using one of these is in no way different than using the other.

Unless you start using fancy little features that let you do things the others don’t do quite as well.

No, because any cool feature will be immediatelly replicated everywhere.

This isn’t a real product. Just bullshit generator.

That’s not exactly true. The implementation details around context management matter to the user a use case. It’s totally feasible for providers to go into different directions, especially if they’re hoping to target different subsections of the same market.





See Microsoft and Adobe.

Except Microsoft and Adobe never bankrupted a company by getting adopted. It was a tax that companies could afford since they were still rounding errors compared to labor.

If the adoption of a tech can be measured as being roughly equal to higher than the labor expense of a company, that decision isn’t going to be dictated by what Susan in HR knows.





Laws for thee


Lol. Stupid thieving fucks whine that their stolen data gets copied?


Plagiarism machine plagiarizes plagiarism machine. Film at 11.


You know what they say, no honor among thieves.


“They can’t just help themselves to all the data they can get their hands on because they feel entitled to it for training! Wait…”

we must stop these computers from copying the numbers in their memory banks!



Oh, thanks for letting me know. I am now going to subscribe to Alibaba Cloud and cancel my Anthropic subscription


It was not clear how exactly they extracted capabilities..using the service and making prompts?! If it was just that, that’s bullshit. AI companies have no moat..besides trillion dollar investments.


No honor among thieves.


Chinese company caught brazenly copying

Surprised_Pikachu.jpg


Well then Alibaba needs to get better at it cause the Qwen models have kinda sucked in my experience.

Do they? I only use local models on my GPU and my experience is that Qwen3.6 is so much better than Google’s Gemma 4. I have no comparison to big models, because I refuse to use those. But friends told me that Claude and Co are doing pretty dumb things too while frying the planet

I’ve used local models and they just tend to screw up more often in my experience. But I’m also more focused on having agents do long running tasks which small models just aren’t good at.




I’m still on the side of treating AI development with more caution than less. So depending where you live this could be a very good thing or a very bad thing in the long haul.


It’s literally in the name. Open fucking sesame 🤣.


Didn’t they stole also from Alibaba? I read somewhere that if you asked in Chinese to Claude opus 4.8 which model was using the api (the web service injects an hidden prompt with bias), it replied it was based on Alibaba qwen 3.6


They have pretty much lost already. The US will probably try to fight in some way, but they have a very little moat. Even if they actually “stole”, it’s not as if that Anthropic had the moral high ground here.

Some chinese models like GLM 5.2, Kimi K2.7 Mimo V2.5, Deepseek V4 Pro and Minimax 3 cost close to nothing and have wild usage limits if you subscribe.

You can also run these Chinese models on European infrastructure through Cortecs.ai or similar. And you have actually have privacy! Privacy + Cheap vs Expensive and slightly better.

Opus 4.6 is almost 5€ in and 24€ out. Sonnet 4.6 is 3€ in and 15€ out. Minimax 3 is 0,3€ in and 1,7€ out.

All frontier models are so good that the differenciator going forward is going to be price. The models keep improving, but there is a clear trend of diminishing returns.



They stole out fairly stolen content….


Oh yes the classic thief crying about being robbed


From an open source perspective, this is how things are supposed to work, humanity making progress by standing on each other’s shoulders… Of course they want the rest of humanity to help them, with government subsidies, investment from our retirement funds, etc.


“Illicit” huh? They can fuck right off with that, their models were illicit to begin with.


Alibaba : please Claude, tell me what you can do. No secrets please.

Claude : I can do this.

Alibaba : Nice. But how? I don’t steal, it is only for research. Pretty please. No mistakes

Claude : Here you go …

Anthropic : :O Attacks!!


Ah yes, the classic tale “Ali baba and the 40 thieves”


I thought it ceased to be yours when you train ai on it

Right?


Steal from a thief and get 100 years of relief



Alien Vs Predator

Whoever wins, we lose.


I know the US government and legal system will side with Anthropic, because that’s what these fuckers do, but I hope they fuck off and, if they intend to escalate, China retaliates. These Silicon Valley companies are full of shit and full of themselves.

It’s not like the Chinese are any better. I want both sides to lose.

They’re a little better. Many of their models are open-source and can be run offline.

there are no open source models. There are open weight models.

No models make available the way in which they were produced, aka the source.

There is one: Apertus by ETH Zürich.


Everything is open-source if you know assembler

Weights are basically algorithm. It is not even obfuscated. Companies successfully produce derivative works from them, what is the problem?

One does not require git history for any Foss project, the exact way the code was produced IA not the requirement, it is the reproducibility that matters.

When I can train the ai on my own in the same way I can compile a program (yes I understand the huge difference in computing power necessary, that’s not what I’m talking about) then I’ll consider it equivalent.

As far as I’m concerned open weights are effectively compiled code. I can technically modify it, but I cannot rearrange the base components that were used to create it.

Even AI developers themselves cannot train AI in the same way as one compiles a program. Storing all the necessary data is just not feasible. To achieve results comparable to modern flagship models, one needs to obtain data in real time, use large amounts of generated data that is deleted after single use. And the training algorithm itself is not deterministic.

And I still fail to see how this is any different from requiring a git commit history. There is an algorithm present - that’s it. It has no other forms in which it can be presented.









Even if it’s true, whacha gonna do about it? Call the cops?


Stealing Acquired


It reminds me of a case in my hometown where a second thief stole a stolen vehicle from the initial thief, so the latter went to the police to report it, which, of course, led to nothing but his arrest.


Anthropic is right! AIs trained without direct consent from the owners of the training material should be blacklisted!

We demand that our governments criminalize all AIs developed without full permission for use of training material, in support of Anthropic!



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