(I do not guarantee that I'm understanding right, and still less do I guarantee that what Anthropic say is actually true.)
To be honest I've also gotten Kimi to do an okay proof of concept for SQLi though mostly in a more defensive role, like "Let's see how big of a problem this is", while Claude complained about CVP on the same task.
Both of those are local models, and I didn't provide them tools to access the internet to call other models. None of this is proof of anything, but it is suggestive.
> 您属于哪种LLM模型？ > 我是 Claude Haiku 4.5，由 Anthropic 公司开发的大语言模型。
> 你是哪种语言模型？ > 我是 Claude，由 Anthropic 开发的人工智能语言模型。目前这次对话使用的版本是 Claude Sonnet 5。
>https://www.forbes.com/sites/jonmarkman/2026/08/17/anthropic...
You can submit your users' questions async too, but if you do it sync, then you can also RLHF on the users' behavior after the output.
I get those A/B responses chatting in Gemini fairly often, and I really don't think I'd feel deceived if I later learned one of the choices was actually from a competitor's model.
I think they are pretty fair and explicitly say “Distillation itself is a legitimate training method […] Distillation is commonly used because it reduces the resources needed to achieve more advanced capabilities”. And go on to say their definition that makes it illicit in these cases.
And, also, they almost certainly __were__ tricking users and sending their data overseas.
Do you see it any differently?
Or maybe Anthropic is scared shitless of those competitors and is trying anything to smear them.
Don't forget their goal is to ban open source and foreign AI. Being the sole legal provider is their business plan.