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LLMs by default use the same style every time and don't know have any drive to differentiate. I just wrote an article about this in the "web site design" space where the designed sites ended up looking all alike (https://www.jasonthorsness.com/29). It makes complete sense that people will start to recognize the "default style" of each LLM.

I wonder whether this style is specific to the LLM (Grok vs. ChatGPT) or if it will somehow arise from the raining data itself that they all share and be sort of a permanent "accent" the LLMs have.



> I wonder whether this style is specific to the LLM (Grok vs. ChatGPT) or if it will somehow arise from the raining data itself that they all share and be sort of a permanent "accent" the LLMs have.

It's very different. I used LLMs to brainstorm a business plan write-up hypothetical startup and Claude/Gemini/qwen3:30b-a3b, one-shot with a long background text. They all generated similar-but-slightly-non-overlapping ideas in very different language.

If I remember right it went something like this: Gemini used stilted business-speak and bold everywhere, but had the best structure for the document. Claude gave surprisingly good one-paragraph intros to every section. Claude and Gwen3 were roughly tied to how nicely written their bullet point content was. I made a new document with Gemini's base structure, Claude's intros, and bullet points mashed from Claude and Gwen, making sure I covered all the good ideas from Gemini that weren't mentioned. Then I edited everything for homogeneity and style.

I recommend experimenting with combining their work.

(Also, qwen3:30b-a3b is amazing for local LLM work, the MoE architecture makes it have the speed of a 3B parameter model!)


I think you don't even need to use chatGPT, who was using make-me-sound smart verbs like 'delve' frequently before? Now, in some publications; I see it regularly.


It's like the magic sunglasses in They Live. You're just seeing the intricate tapestry of nuances.


You're absolutely right!




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