What I want to know is how did they make the only LLM that doesn't sound cringe?

I think it has something to do with mode collapse (although Claude certainly has its own "tells"), but I'm not sure.

It sounds trivial but even for Agentic, I found the writing style to be really important. When you give Claude a persona, it sounds like the thing. When you give GPT a persona, it sounds like GPT half-assedly pretending to be the thing.

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Some other interesting points about Anthropic's models. I don't know if any of these relate to my LLM style question, but seems worth mentioning:

Claude models also use way less tokens for the same task (on ArtificialAnalysis, they are a clear outlier on this metric).

And there's a much stronger common sense, subjectively. (Not sure if we have a good way to actually measure that, though.) It takes context and common sense into account, to a much greater degree.

(Which ties in with their constitution. Understanding why things are wrong at a deeper level, rather than just surface level pattern matching.)

Opus is great but it should be bigger. You notice the difference between Sonnet and Opus, but with heavy use you notice Opus's limitations, too.