Good to know other people who get migrane reading LLMs dense prose. I started reading books again recently, since everything online is polluted by LLM prose. What i realise, is that a human author, especially a teacher understands the learning pathways of new learners, they motivate the learning, and start from simplest concepts (a spherical cow), and then building all the complexities. This helps us to emphasize on most important concepts, while throwing away unnecessary complexities. While reading LLM prose is like reading a research article, that is written to an expert in the area, that talks about bleeding edge, with full of jargons, caveats, that just is not conducive to the learning process for a new learner.
Also they tend to assemble complex jargon in obtuse or meaningless ways, which makes reading and parsing and understanding much more difficult. Tends to reveal that LLMs fundamentally do not have "understanding", just likely word generation
To me, it's just Claude. The other models have their quirks but nothing is quite like Claude.
But even with Claude, it's it's really the prose getting in the way you can install the caveman plugin or tell it to use that "standard technical English" thing.
Can you elaborate more on juxtaposing Claude's terrible prose with other LLMs?
Any more detail you can share? Do the others feel more "human"? Are there any that are particularly digestible/human-friendly?
I've been wondering for a while if this is just Claude because I mostly use Claude, so this is very telling.
I wish I had something more methodical I could show. It's all subjective, but GLM-5.2 feels more human to me. Even GPT-5.6 Sol tends to be easier on the eyes for me (though the stereotype of it overengineering and no common sense are still true).
I tried using a new agent service recently and could tell immediately that it's powered by Claude due to the way it writes.