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Re:Kimi Linear: An Expressive, Efficient Attention Architecture by WhitneyLand on Tuesday July 28, 2026 @11:02AM (#49085009)
False dichotomy right?

Are Chinese labs impressively innovating? Clearly.

However this doesn’t rule out possible gains due to distillation.

I don’t know the degree of the latter but both things could certainly be true.

Re:Kimi Linear: An Expressive, Efficient Attention Architecture by SirHackalot on Tuesday July 28, 2026 @11:34AM (#49085464)
Didn't Anthropic train on our collective data just to sell it back to us for $100/month? On top of that, Apple is suing them over alleged IP and trade secret theft by ex-Apple employees. Hard to feel too sympathetic, and I’m not an Anthropic hater in particular…
Re:Kimi Linear: An Expressive, Efficient Attention Architecture by DashAnimal on Tuesday July 28, 2026 @11:36AM (#49085504)
That Apple lawsuit is against OpenAi, just for clarity
Re:Kimi Linear: An Expressive, Efficient Attention Architecture by SirHackalot on Tuesday July 28, 2026 @12:37PM (#49086463)
Wow, I should never comment first thing in the morning... Thanks for the correction, you’re right. I will see if I can still edit my comment.
Re:Kimi Linear: An Expressive, Efficient Attention Architecture by hugopuybareau on Tuesday July 28, 2026 @11:52AM (#49085761)
The only data-related lawsuit Anthropic got was the books nah ? And they paid only a minor part as paid agreement compared to what they would have paid losing the trial
Re:Kimi Linear: An Expressive, Efficient Attention Architecture by SirHackalot on Tuesday July 28, 2026 @12:38PM (#49086485)
Yep, that second part of my comment was an article I read about OpenAI and my mind mixed it up with Anthropic. My mistake.
Re:Kimi Linear: An Expressive, Efficient Attention Architecture by joe_the_user on Tuesday July 28, 2026 @03:26PM (#49088711)
In a sense, what eventually gets legalized through settlement or what doesn't provoke a lawsuit isn't that relevant.

The process of creating an LLM involves taking and processing a massive amount of human generated data, roughly all the world's literature/thinking/etc. A large portion remains within these systems. Aside from the legality, ethically that shouldn't belong to any one company.

Re:Kimi Linear: An Expressive, Efficient Attention Architecture by linkregister on Tuesday July 28, 2026 @03:28PM (#49088734)
Did Kimi or other open source models use a different corpus? Why is your animus directed specifically to Anthropic?
Re:Kimi Linear: An Expressive, Efficient Attention Architecture by fnord123 on Tuesday July 28, 2026 @11:58AM (#49085855)
Also possibly true: Anthropic is running Kimi locally in their hardware and "distilling" it.
Re:Kimi Linear: An Expressive, Efficient Attention Architecture by trollbridge on Tuesday July 28, 2026 @03:11PM (#49088519)
If they have any sense, they should be. It would be permitted under the licence, too (unless I'm misreading the k3 licence).
Re:Kimi Linear: An Expressive, Efficient Attention Architecture by logicallee on Tuesday July 28, 2026 @07:45PM (#49091534)
Anthropic has more than $20 million in revenue so as per the k3 license they would need to enter a special commercial deal if they wanted to use it:

https://huggingface.co/moonshotai/Kimi-K3/blob/main/LICENSE

Re:Kimi Linear: An Expressive, Efficient Attention Architecture by fnord123 on Wednesday July 29, 2026 @05:32AM (#49095180)
No, keep reading:

> The requirements set forth in Sections 2 and 3 do not apply to: (a) internal use of the Software, defined as any use that does not make the Software, its outputs, or its underlying capabilities available to third parties; or (b) any use of the Software accessed through Moonshot AI's official products or certified inference partners.

"distilling" from their own hardware would be an internal use of the software.

Re:Kimi Linear: An Expressive, Efficient Attention Architecture by logicallee on Wednesday July 29, 2026 @11:35AM (#49098884)
In my personal opinion, distilling its output into training another model that is then provided to users does fall into the category of "making its output or its underlying capabilities available to third parties", but I could see the argument that it doesn't.
Re:Kimi Linear: An Expressive, Efficient Attention Architecture by cma on Tuesday July 28, 2026 @11:55AM (#49085801)
If they can distill fable into a full model post training run in ~15 days without the real thinking traces, yet we know Claude chats degraded with the thinking traces removed (chat resume bug from earlier in the year they reported stripping thinking to shed load as being the cause of degradation), how big can this degree be?
Re:Kimi Linear: An Expressive, Efficient Attention Architecture by api on Tuesday July 28, 2026 @11:14AM (#49085188)
“Distillation” is just indirectly pirating the largely pirated training data used to train the original model.

“You stole my warez!”

Re:Kimi Linear: An Expressive, Efficient Attention Architecture by serial_dev on Tuesday July 28, 2026 @11:29AM (#49085413)
If we do it, it's training a model. When they do it, it's distillation attack. - Anthropic
Re:Kimi Linear: An Expressive, Efficient Attention Architecture by esafak on Tuesday July 28, 2026 @11:36AM (#49085513)
"You are distilling what I have rightfully pirated."
Re:Kimi Linear: An Expressive, Efficient Attention Architecture by Barbing on Tuesday July 28, 2026 @03:08PM (#49088477)
Is there even a steelman against this?
Re:Kimi Linear: An Expressive, Efficient Attention Architecture by trollbridge on Tuesday July 28, 2026 @03:11PM (#49088522)
The current steelman argument against this is "China bad, west good".
Re:Kimi Linear: An Expressive, Efficient Attention Architecture by culi on Tuesday July 28, 2026 @01:35PM (#49087272)
Fable was available for a few weeks before Kimi K3 came out. If it was a distillation attack, then that's a truly groundbreaking technological feat to distill a model like Fable in 2 weeks
Re:Kimi Linear: An Expressive, Efficient Attention Architecture by joe_the_user on Tuesday July 28, 2026 @03:20PM (#49088641)
All LLMs are based on distillation broadly defined. Western models began distilling texts. If Chinese models are distilling Western models, they are taking information that Western models don't own anyway - but that doesn't mean the Chinese models aren't also taking information from text as well (which they probably also don't own). And none of this means Western and Chinese companies aren't innovating by creating very elegant methods of distillation.