> 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.

> 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.

Again - you're making things up. The fact is that everyone in the frontier AI lab space and the Chinese AI lab space knows that distilling is extremely effective and far more so than training from scratch. That's why China invests millions of dollars to create networks of tens of thousands of proxy accounts and shell companies to distill American models.

It's a way to steal the R&D budget of another organization/nation-state.

Stop making things up that you know nothing about.

> 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.

No, it's stealing the value of the model. Anthropic has spent billions of dollars training their model. They have an R&D investment that anyone who knows how to add numbers understands has to be paid off, and anyone who has taken a basic economics class knows is the foundation for intellectual property: that to keep technological economies functioning, you have to have some sort of protection for technological inventions because they require upfront R&D investments.

> 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.

This is just whataboutism and emotional manipulation. You can simultaneously believe that Anthropic did a bad thing when they scraped the whole internet and stole every book they could find to train their models, and that distillation is bad.

In fact, anyone with a coherent moral compass would acknowledge that China is worse, because not only would they steal everything that Anthropic did, but they're also distilling other countries' models and they wouldn't even comply with US court cases, as Anthropic is.

> Anthropic are apple-pie American innovators when

...and this is just jingoism. Not that I'm surprised, to be honest.