Comment by throw10920

1 month ago

> Anthropic's models simply do not give you their reasoning output - they give a sanitized "summary" instead, for this exact reason, so that the output is not useful to anyone who might want to use it for training.

This is just straight-up factually false.

The output of a reasoning model is immensely valuable even without the sanitized summary of the reasoning process - that Anthropic's service does expose to you, making it even more valuable.

There's absolutely nothing about the distillation process that requires that reasoning in the first place, either. That's a definition that you made up.

Chinese models are, factually, distilled from Anthropic models. I've personally repeatedly asked several different Chinese LLMs what their name is, and they answered "Claude".

Don't make stuff up to suit a political agenda. It's extremely dishonest.

> The output of a reasoning model is immensely valuable even without the sanitized summary of the reasoning process - that Anthropic's service does expose to you, making it even more valuable.

Useful for what is the question. Nobody is debating whether the outputs of LLMs are valuable.

Given that Anthropic have redacted their true reasoning, and replaced it with a "summary", specifically designed to be useless for distillation purposes, it would certainly be highly ironic if this summary was in fact "even more valuable" for that purpose as you are claiming!

  • > Useful for what is the question.

    Useful for distillation. Any employee at a frontier AI lab will tell you this. This is known in the industry, and it's an open secret that some US labs (OpenAI) distill on the others. Again - don't just make up stuff for a political agenda.

    > specifically designed to be useless for distillation purposes

    No, it's designed to give feedback to the user, in a way that minimizes its value for distilling. It's still valuable, and so there's a good chance that they'll remove it entirely as a result.

    > it would certainly be highly ironic if this summary was in fact "even more valuable" for that purpose as you are claiming!

    I did not claim that. Read my comment again:

    > The output of a reasoning model is immensely valuable even without the sanitized summary of the reasoning process - that Anthropic's service does expose to you, making it even more valuable.

    Because apparently I have to spell it out:

    The output of a reasoning model is valuable, even if it didn't have the reasoning summary. Anthropic's models have a reasoning summary. The reasoning summary makes the output more valuable than if it didn't have a reasoning summary. It does not make it more valuable than having the full reasoning.

    • > Useful for distillation

      Here's the thing: no-doubt a summary, if it at least reflects some of the logic connecting response to request, is better than nothing, so this can still be useful additional training data, but a model trained on it would be learning to generate these summaries, not the original withheld reasoning, so "distillation" seems an intentionally emotionally-wrought way of describing it (the "summary" is generated by a different smaller model - not the one the rest of the response came from).

      It does bring up an interesting point though - RL training in general results in "cargo-cult" reasoning - you train a model to follow the steps (mistakes and all - Karpathy) that got to a result, without understanding why they worked. If this training on summaries works just as well as training on detailed reasoning, then it just highlights how having a few breadcrumbs to follow/regurgitate is all that it takes.

      At the end of the day, without having internal logits or original reasoning traces, "distillation" (which suggests one model being derived from another) just seems a very manipulative way of describing this. OK, so it's a terms of service violation - a customer is using Anthropic model outputs to help create something that competes with Anthropic, but that's it. They are not copying Anthropic - they are, one assumes, using other models to generate cheap training data that they would otherwise have to pay people to generate.

      This is why people are calling out the hypocrisy - Anthropic are apple-pie American innovators when they appropriate other people's copyright data for training, but Kimi are evil communists when (we assume) they use data generated by Anthropic (not even copyright protected) to help train their own.

      7 replies →

> I've personally repeatedly asked several different Chinese LLMs what their name is, and they answered "Claude"

I'm curious what you are doing to get them to override their own name that they were trained on and/or have as part of their system prompt?

I'd assume that the Chinese are scraping the internet for training data the same way western companies do, so for sure there will be a lot of AI generated content in their training data - you don't need to be paranoid and assume they must be getting it all direct from Anthropic.

  • > I'm curious what you are doing to get them to override their own name that they were trained on and/or have as part of their system prompt?

    You're gaslighting me. I did nothing special at all, and there's ample evidence of this happening to others on Twitter.

    > you don't need to be paranoid and assume they must be getting it all direct from Anthropic.

    Nowhere did I say that. Stop lying about my words.

    • So are you claiming that "several different Chinese LLMs" ALWAYS refer to themselves as "Claude", and NEVER by their real name ?

      If this is NOT what you are claiming, then my question stands: what are you doing to get them to answer "Claude" ? Be specific - which model and what prompt, or is this just a case of "I heard people on Twitter say this" ?

      10 replies →

Well there were observed cases of Claude calling itself Deepseek or Qwen. So pot calling the kettle black?

To be fair I find it hard to take this too seriously, shouldn’t it be trivial to just replace “Claude” with any other string in your “distillation” dataset?

  • > Well there were observed cases of Claude calling itself Deepseek or Qwen. So pot calling the kettle black?

    There are open-source Deepseek and Qwen models - "distilling" doesn't involve breaking terms of service or hitting an API because you can literally run local inference or even just inspect the weights directly, and that's intended because they're open source.

    It's categorically different for a nation-state to build massive illicit networks of fraudulent identities to do distillation over tens of thousands of accounts to intentionally bypass providers' terms of service, intention for their models, and business model that very explicitly proprietary and not open source.

    https://www.chinatalk.media/p/how-to-buy-cheap-claude-tokens...

    If Claude did distill on proprietary PRC LLMs - then fine, shame on them - I condemn that and I expect others to do the same. But there are no open-source Claude models. The only way for PRC models to have those responses is if they distilled Anthropic's models from their APIs.

    > To be fair I find it hard to take this too seriously, shouldn’t it be trivial to just replace “Claude” with any other string in your “distillation” dataset?

    ...and what would happen when it read all of the books and articles about Anthropic and replaced "replaced Claude Opus" with "replaced Qwen Opus"? Did you give any thought to this at all before saying it?

    • > It's categorically

      The fraud part and using stolen accounts or credit cards or blatantly violating the terms and conditions (i.e. reselling subscriptions not using outputs in certain ways somebody might not like) is indeed categorically different.

      Using uncopyrightable outputs of an AI model obtained legitimately to train your model is not inherently interlinked with any of those things. I don’t really see how the model being proprietary or “open” is particularly relevant when talking about the outputs.

      Even using the word “distilling” in this case is deceptive and biased. It implies that the Chinese are somehow stealing Anthropic’s models or their weights and somehow directly transforming them into new models. That’s certainly not what’s happening in any direct sense.

      e.g. what if I agreed to send all my Claude code session files to Deepseek or whoever? There would be nothing wrong about that since I and not Anthropic own those files and can do whatever I want with them. Using certain different ways to obtain them of course could be highly illegal.