Commenters are overlooking the significance of this information and posting emotional reactions based on perceptions of fairness or feelings of schadenfreude.

The economic viability of Anthropic and OpenAI rely on their being able to charge more for model access than their R&D and inference costs. If the market price for SOTA model access drops below that level, then these businesses will have to decide whether to continue to lose money or to reduce spending on R&D.

Moonshot's papers [1] claim that their training load was primarily from synthetic data and model self-teaching rather than RLHF and therefore keep their costs low. If Moonshot genuinely does not rely on human-led training, they will surpass US closed-source model providers. The United States government considers US supremacy in "AI" as a national security consideration.

This announcement is noteworthy because it implies that Moonshot's success is in fact due to distillation. It's in the interest of US frontier labs to place barriers to this if they find themselves in the position of subsidizing rival labs' research.

1. Kimi K2, https://arxiv.org/html/2507.20534v1

> The United States government considers US supremacy in "AI" as a national security consideration.

And we foreigners consider US supremacy in AI to be an existential threat. Your "national security" is directly harmful to us. I never thought I'd say this but the chinese are starting to look like a beacon of hope for the rest of us.

AI companies do not get to play the "Making an LLM using our data is unethical because the resulting LLM will replace us and hurt our profits" card.

> The United States government considers US supremacy in "AI" as a national security consideration.

They thought the same about SSL in the 1990s and the world didn't stop moving elsewhere.

I think this is a really sober comment. There are lots of knock-on effects of this claim, even if it's not true which are consequential. The fact that a spokesperson for the US government is going out of their way to comment is concerning.

Strong bee-hive pinata vibes here.

s/announcement/claim

You don't get to call Moonshot's a "claim" and this political hack's an "announcement." They're the same thing. Treat them the same. Diction designed to favor one of two equal positions is some weak sauce.

People keep forgetting that over the last 6+ months a lot of increased action has been taken by OpenAI and Anthropic to detect and combat distillation. Several are public known.

Combined with how short of a time Fable was around before K3 got released. I do not see how the data Moonshot is supposed to extract in such a short notice, that will enhance the model to such a point.

It sounds to me a lot of cope from the US, so they can give this as a reason to ban Kimi models from the market.

OpenAI/Anthropic their advantages used to be:

* Early growth advantage

* Access to a lot of client data to train upon

* Access to a lot of hardware to train upon

Several of those advantages have been eroded over time. That barrier has been shrinking. The US is not the only spot with a bunch of smart people (ironical seeing how many Chinese work in US R&D).

Thing is, even IF they distilled from Fable and got the model so trained up, it means that K3 is a base for future model development. The cat is already out of the bag with how good the model is. When the model gets released on the 27'th, any Chinese company will be able to train their models against K3 openly.

We are not in the past anymore, where DeepSeek was a unexpected hit, but where the Frontier models their advantages (compute, data, growth) prevented more Chinese models from growing.

It doesn’t matter. Distillation is impossible to stop. They could release an extension that intercepts requests and in return gives you a discount like Honey and get the same data.

I doubt distillation had anything to do with it. They barely had enough time. Can you distill Fable (which involves training!) in literally one week? No!