Writing fingerprint analysis of responses reveals Kimi's similarity to Claude

All frontier models have been trained without any regards for IP protection laws. I don't see how anyone can argue in good faith that distillation is not fair game and does not ultimately "benefit humanity™"

So this shows distance relative to other models, but I don't have a good sense for what these numbers say in absolute terms.

K3-to-Fable is blue at 0.42. Is 0.42 meaningful, or did we set 0.4 as the lower bound because it makes 0.42 look significant?

Sol-to-Fable is 0.69. It's dark yellow, making this look VERY different from 0.42. But is it? What do these numbers mean in absolute terms?

This data sort of disqualifies itself: unless Moonshot has a time machine, K3 should be more similar to Opus 4.5-4.8 than Fable 5.

Keep in mind, Anthropic started limiting access and introduced anti-distillation measures around 4.5-4.6 (?). So the majority of distillation should have happened on earlier models.

Maybe a better explanation is that they have access to the same training datasets? Which if private can again raise questions about theft, but on a very different level.

Keep in mind if you ask Claude what model it is in Chinese it says its Deepseek or Qwen or Kimi.

So who's training on who's outputs?

https://news.ycombinator.com/item?id=48990086

https://x.com/stevibe/status/2026227392076018101

This looks to be more behavior based, not logit based? What is the actual claim?

Stolen data was stolen. Oh no! Anyway.

How do you do cross entropy analysis for Claude without logits?

Shouldn’t we expect a convergence as models become more powerful ?

There is an optimal answer to any question. Something that maximizes utility and minimizes tokens.