https://www.anthropic.com/news/detecting-and-preventing-dist...
I think the extent of distillation by Deepseek specifically is overstated. For comparison, Minimax collected over 13m 'exchanges', which starts to sound a lot more like large-scale distillation.
https://en.wikipedia.org/wiki/DeepSeek
> In February 2026, Anthropic accused DeepSeek of using thousands of fraudulent accounts to generate millions of conversations with Claude to train its own large language models.[57]
And now they say that's fine so long as people are entertained.
But silent degradation for use cases including “distributed training” as one of their examples is going to catch up a lot of proper use cases. Not everyone in AI or ML is trying to build frontier LLMs. Heck, most probably aren’t.
I think if they want to behave anti competitively they should be honest about it and we should absolutely call them on it. Perhaps even regulators should.