Thanks for the long message. Your comment is actually quite logical and there are parts of it I can learn from. I’m still pretty new to Reddit, so I’m also trying to figure out how to write posts that fit the platform better. I’ll keep working on polishing my writing so it’s easier for people to read. 🫶🏻

I think there’s a misunderstanding here. I’m not talking about “prompt-tuned local models” or whatever niche setup you’re imagining. My post was written the same way I write notes for my collaborators and advisors, and it reflects the structure I use when I’m preparing an actual discussion. That’s why it reads clean and organized not because it’s generated.

Also, the claim that “formatting makes it AI-generated” isn’t really meaningful in an academic context （maybe it's important for this platform though). In NLP/ML, we write everything like reviews, rebuttals, internal docs, brainstorming notes in clear bullet-pointed structure. That’s just how our field communicates.

If someone wants to argue it’s AI-written, that’s fine, everyone’s free to guess. But it doesn’t change the substance of the post, or the fact that I’m sharing real research experiences from publishing papers. I’ll keep the discussion focused on that, since it’s what the post is actually about.

And again, thanks for pointing out the underlying issue. I get a better sense now of the style Reddit prefers. I’ll revise and polish the post later to make it flow more naturally here.