Nooooo, you can’t train on OUR data! That’s illegal!!!1
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Seems like it’s up to Anthropic to teach it’s AI model not to pimp itself out.
If every AI company steals the public data separately, it means massively increased costs for everyone who is getting their data stolen. If the AI companies “steal” from each other it’s much better for everyone else.
No difference. Distillation is a valid and useful way of generating data to improve or make new models. It’s still just example data to be trained on. Anthropic is doing the same with their own models, and inadvertently every other model through web scraping.
The legal difference is that this data is uncopyrightable. At most it’s a TOS breach, nothing major.
Claude is trained on stolen data (the whole Internet), so I can’t have any sympathy for Anthropic when someone steals from them.
Why the fuck would they do that if Anthropic is being kind enough to just give them that data (regardless of how it makes them be butthurt)?
Lol corporate thieves bitching about other corporate thieves is the funniest part of 2026
They stole to monetize without paying in money or attribution what we stole to monetize without paying money or attribution!
Well, they did pay, just after the fact.
Well they didn’t pay me. But still used all my open source mit and agpl, gpl icensed code to train their model. And now I need to rent their compute back.
I mean sure, Anthropic are pricks, but “they did exactly what the license I put on my code said they could” is probably not the way to highlight that.
My bad. I actually meant agpl. And gpl. You’re right to point out the that mit is fine. Which is true. Mit can be used for whatever.
But my for example my WineGUI project is agpl. Pretty sure those Ai companies used all open source code regardless of the license.
I’m actually also fine if they trained on my agpl code. But then they should have open sourced their models and data. And their whole project.
That’s settlement, not a payment for the stolen goods. If I steal your shit, and to avoid going to jail I offer you some money, I am not paying for what I stole, I’m paying to avoid further consequences.
you can’t just call anything you don’t like “an attack”
How about “terrorism” or “national security threat”?
Exactly!
Still, stop attacking me.
New Qwen release incoming!
Q: if you steal a stolen thng, is it stealing?
The thief cries “catch the thief!”
Claude’s still there, seems Alibaba’s attack wasn’t really all it’s cracked up to be.
Now the US gov’s attack seems to be working since Claude Fable 5 is still not there.
Ai cloned the world. Please give me a break.
Maybe they can protect themselves with a… great firewall of USA?
Enclosure or inclosure[a] is a term, used in English landownership, that refers to the appropriation of “waste”[b] or “common land”[c], enclosing it, and by doing so depriving commoners of their traditional rights of access and usage.
What’s the science behind cloning?
LLMs are trained by taking a passage of text and masking out the next words. The LLM has to guess what the next word is going to be.
If you use the output of a fancy ass billion dollar model as your training data, you can duplicate the output style and “knowledge” of the parent model if you show it enough responses. That’s basically what Alibaba did. They prompted the shit out of Claude and used the responses to train their own model which allows you to piggyback off of Claude’s hard work pirating the entire internet. Your cloned model can also be smaller and leaner, being cheaper to operate.
I said this elsewhere but it’s like taking a block of metal and showing it Porsche 911s until it turned into a Porsche 911 with 95% of the performance, and it also costs ⅕ the cost to maintain and fuel it.
95% of performance is impressive for a clone
It’s approximate but yeah you can get roughly in that ballpark. The biggest benefit is making the model weights smaller and cheaper to run. You can fit 5X as many instances on the same server if you distill down while having basically the same output.
The main caveat is you need to absolutely hammer the main model with questions from all angles to try and get it to present as much of its internalized knowledge as possible. Which is why Anthropic is pissed about this since they’re barely making money off of these prompts to train a more efficient competitor (BTW this is how “mini” or other models are trained. They’re distillates)
What’s a suitable punishment Anthropic?
(chasing) Whats a suitable punishment motherfucker?
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