[lelanthran]

This looks like it was written by an LLM. Not complaining, because my major use of LLMs is rubber-ducking, not code-generation, and I very often get responses like this when doing repeated iterations and deep-diving into a review/comparison.

The concepts are probably the authors, but the text we are seeing is probably the LLMs.

Regardless of the LLM overtones, this is still decent content.

[bluetomcat]

You are correct. The final output was polished by ChatGPT, but I originally presented the basic ideas in a few paragraphs. The LLM added a sense of flow and persuasiveness which are somehow lacking in my rather dry and non-native English writing style.

[lelanthran]

I feel you should avoid this.

Too many people, myself included, often skip LLM content.

After I am done rubberducking with the LLM I write my own code. I can you should do that too. Leave a few days after your session to let the discussion percolate in your mind, then write the post and only then check the discussion again to see if any details can be added.

In all fairness, I dont actually write blog posts like this, I just bang 'em out whenever I feel like, so not sure of it will work as well as I think it would.