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It sounds like Anthropic is eagerly trying to show to USG that they are willing to heavily monitor ‘foreign adversaries’ on their platforms.

This combined with no implementation of KYC makes it seem like they want to find a middle ground with Fable where its off of export controls but they promise to prevent China and specific others from using.

I'm looking forward to the trial where Anthropic will have to disclose sources of their training data, and then explain why they are entitled to charging customers for using regurgitated training data but Alibaba which trains their models on Anthropic's models are not.

Should be fun.

Edit: clarification

And if it includes at least one GPL source, they should release the weights on GPL license.
Notice how Anthropic is now scapegoating Chinese models providers like Alibaba and outright accusing them of distilling their models.

Whether if it is true or not, this is part of their effort into using them as an example to scare everyone into getting congress to ban powerful models from being accessed outside of the US and also banning powerful local models from being released.

Anthropic does not care about you, and they are not your friends.

If true then Alibaba is doing us a public service, good job, I hope this extraction was successful.
There's two basic kinds of distillation: 1) the massive [and dumb] method where you ask a question and use the answer as reinforcement (Black Box), and 2) more targeted distillation where you use one model to directly inform/train/guide another model (RLAIF).

The latter is basically fine-tuning the model with direction from another model. Thousands of businesses do this every day to fine-tune. This is almost certainly what the Chinese labs are doing, since it has a much better effect on the end result than just getting simple answers to simple questions.

These complaints of distillation are inflating the problem to make it sound worse than it is, because they want the USG to block/ban Chinese model providers as protectionism. They have already called for more export controls on chips (which is funny because DeepSeek v4 was designed to run on Huawei chips and now the other Chinese providers are following suit). But they can't come right out and say that, so their claim is that they're asking for more export controls because distilled models might not be as safe as their own. But if you show them a jailbreak of their model that bypasses their safety, they'll tell you that any model can eventually be jailbroken so don't worry about safety.

Chinese labs access Claude via API. Isn't it the black box method by definition?
Doesn't "real" distillation use the logits instead of the final tokens? I would classify this more like using a model to generate synthetic training data.
I'm sorry, but you got the terminology exactly backwards. Training on the answer is called supervised fine-tuning.

Just for the sake of clarity:

0. Full distillation uses logits of the teacher model - that's much more information than the text itself. This is a kind of distillation used inside labs, but one can't distill Claude this way as logits are not available via API.

1. Supervised fine-tuning on synthetic data might be called blackbox distillation. I guess that's what you meant in your case (1).

2. Reinforcement learning (like RLAIF) uses least amount of information from the teacher, i.e. only few bits per task.

Heck, one of my favorite fine tuned copies of Qwen uses Opus 4.6 Reasoning distilled. I'm not sure where the maintainer is based out of, but me in the states, if I had the hardware to do similar things I would. Its like you say, basically everyone is doing it. It kind of makes sense to me too given that you can have roughly similar data, but your reasoning logic is what the real secret sauce is in my eyes. It doesn't matter if you know everything in the world, if you don't know how to reason with that information.

https://huggingface.co/Jackrong/Qwen3.5-27B-Claude-4.6-Opus-...

They want to create a monopoly and destroy every competitor, before they got a chance to rival them.

Why can't OSS software rival closed source software? It should be an open market, at least "somewhat", what's happening for real? EU providers will also get banned, if they reach or exceed US model capabilties?

Closed source providers can close your account at a whim like and destroy your business and then use the data you supplied them to create a competitor (Meta, Google, OpenAI, Anthrophic).

Chinese companies are engaging in anti-competitive practices, as usual. They are rogue actors on the economic scene. If it were feasible, they'd be widely banned, and for good reason.
It's about training data and using Claude to compare 2 outputs and have it indicate the better one. This gives you higher quality training data that you can use to train a fresh set of weights. Weights don't get adjusted on-the-fly, instead the dataset for training is improved and then you train a'fresh. And it's hard to detect because you're just asking the model which of these outputs for a given prompt is better? Or something along those lines.
"You're trying to kidnap what I've rightfully stolen!"
You're teaching your parrot to say what our parrot is saying!
Reminds me a bit of the anecdote of Steve Jobs complaining about people ripping off the Mac GUI, in the mid to late 1980s, when he gave no public acknowledgement to the work done by Xerox on the Alto and Star operating system.

"you're trying to rip off what I've already ripped off!"

Crawl the whole Internet to build a gargantuan sized LLM and then complain you're being copied...

I’d agree with you if it doesn’t cost billions to train models.
A company which got rich on extracting the world's content is complaining that another company has extracted their work?!

LOL!

Get a grip, son.

Distillation is fundamentally impossible to protect against. All you can do is slow them down. Change my view.

Eventually these Chinese companies will release some extension like Honey, which will sit on top real, non-Chinese clients and send everything to China anyway.

It's over.

Jensen Huang likely agreed with you and tried to change Dario Amodei's view on that, but that attempt appeared to have failed.

So there's that.

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A partly insider on this.

I think Anthropic is just marketing / bluffing, because they don't even have the data.

They do distill the models, but they don't go to Anthropic, they just use platforms like aws bedrock, there are too many restrictions on Anthropic's own platform.

Here's what is happening:

Chinese resellers are offering Claude tokens at 70-90% below official Anthropic API prices. They achieve this by reselling capacity from pooled Claude Max accounts, payments fraud, and also reselling the model output & reasoning chains to various Chinese labs. They are subsidizing model access in exchange for user logs and reasoning traces, which they then sell as training data, allowing them to operate below cost.

Claude and ChatGPT are both blocked in China. You need to use a VPN to access either, and you can't pay with a Chinese bank card. So most people who want access to Claude buy access via a reseller. It's the easiest and cheapest way to access Anthropic models in China.

These resellers operate tens of thousands of bot accounts, which is also why Anthropic introduced identity verification, to slow down the onslaught of bots.

Here's one token reseller, they're offering Opus 4.8 at a 93% discount below official API rates: https://yunwu.ai/pricing?provider=Anthropic

This is one reason why DeepSeek & GLM are priced so cheaply, they are competing with impossibly low token prices in China. They have to keep prices low, in order for people to use them.

I shared this story a few months back, but it never got any traction. It explains the token resale economy in China, it's an excellent read https://www.chinatalk.media/p/how-to-buy-cheap-claude-tokens...

> payments fraud

One of these things is not like the others... If Anthropic could show that Chinese commercial competitors were using payments fraud to do this, they would be shouting it from the rooftops.

I have 0 sympathy for Anthropic. Their latest models are extremely censored. The Fable rollout was horrible. Their Cyber Access program criteria denies doxxed Americans doing legitimate security work. Anthropic is hostile to their users and hostile to their own country. OpenAI is considerably better on all of these fronts, but still not perfect.

I'm happy to use and support Chinese model developers if it means less censorship and gatekeeping. I have absolutely no dog in this fight, and neither do most American developers. We will use whatever is cheaper and better. Game on.

I think companies should do this too, in a smaller scale. Proxy all LLM traffic to and from your employees, and use it to fine tune a smaller local model.
Considering how Claude and GPT were trained selling this as training data is completely justified.
Even if what you say is the truth (I don't think that is what's actually happening) it sounds to me like fair play capitalism working as intended! I guess when you rip off the entire Internet and then turn around and complain about getting ripped off nobody cares or feels for you. If there's a master class in getting the entire world to hate you then both Sam and Dario will be the prime examples.
I didn't connect the reseller pricing to DS and GLM prices until you explained it. Very good observation. Deepseek v4 pro in particular is priced so low that it's hard to imagine that they have any margin. 0.76/1.52 for a 1.6T param model leaves very little margin. Even the domestic providers on Openrouter are multiples of the price https://openrouter.ai/deepseek/deepseek-v4-pro
they even resell GPT codex usage at 1~5% API costs. OpenAI has 1-month free trial promo in some regions, and they harvest free accounts in a large scale. I have a wechat contact that offers 98% off for GPT 5.5 and he's still profitable
> Chinese resellers are offering Claude tokens at 70-90% below official Anthropic API prices

That is not what they are claiming, not in this article at least. It's the distillation they are complaining about.

Thanks. This is a widely misunderstood part of the market that the frontier companies are either unaware of, or don't see as a threat. Consumers are flocking to this, its better than dealing with their limits, changes, and opaque pricing. Funny enough, frontier companies are literally training their users to seek alternatives, local models, and distilled models to meet their throughput needs.
"How dare someone rip off the stuff that we've stolen!".
Why cant anthropic just sign up to those resellers, rack up some usage and then just start banning tf out of them? Reverse uno
I feel obliged to point out the disingenuousness of what this post says and the post it quotes. The most egregious parts are payment fraud and reselling - these are speculated but not actually said to be known to be happening, which you have left out.

1. Claims of payment fraud. I actually clicked the BBC article linked about payments fraud it referred to. It was an article about a criminal syndicate stealing credit cards. It mentions buying cryptocurrencies, AI API purchases are not mentioned.

2. The claims that they are reselling the chats to AI labs. The post you cite is speculating it could be, but this is unverified.

The claims of reselling is also bizzare. Arbitrary user prompts are low quality data. If I were an AI lab, wouldn't I just pay for the API proxy and get targeted output for far less?

Also calling it bot accounts is a stretch. Bots mimick human input. These are proxy accounts.

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We have Claude at home!
Says the company that is involved in the largest copyright heists of all time to build it's product.
If you're an AI booster surely you'd think this was a good thing as it means more models are available in more places to more people more easily. I'm exactly the opposite, and I think this is a good thing because I want Anthropic to suffer.
I like that they use “illicit” and “fraudulent” like as if model distillation is illegal and giving them money and then doing whatever they want with the output of their publicly accessible models (which Anthropic does not own) is… also illegal?

“Anthropic, red faced after unattended ice cream cone eaten by ants on park bench, once again demands government pick it as forever winner, adds ‘no take backsies’”

Does anyone have hints on what kinds of prompts are most used for a distillation like this—SWE-Bench sorts of things?

Is reconstructing the compressed knowledge in the model like reconstructing a lossy JPG or MP3 a reasonable analogy?

Wait so they're upset that people used their IP to train a model without their consent or paying them anything?

or is this just about the token reselling?

Repeatedly warn everyone that your models are so good they will wreck cybersecurity.

Complain/brag that chinese firms are illegally using the models and bypassing export controls.

Be surprised when your model gets banned by the government.

> Meanwhile, on June 12, two days after Anthropic sent the letter, the Commerce Department imposed controversial restrictions on Anthropic's latest Mythos and Fable AI models because officials feared they could be deployed by military intelligence users in China and other countries of concern.

So that was the real reason for the Fable restriction? Because Anthropic wrote a letter to the US government saying that China was distilling Fable?

Anthropic training their models full of copyright data, so?
What I get from this is frontier model capabilities are being stagnant.