![](/static/253f0d9b/assets/icons/icon-96x96.png)
![](https://lemmy.world/pictrs/image/eb9cfeb5-4eb5-4b1b-a75c-8d9e04c3f856.png)
The problem isn’t that there are no libraries out there that parse Markdown. There are, in fact, plenty for all different languages. The issue is that every site has its own flavor of it. Lemmy does it one way, GitHub another, and something else does it completely differently yet again.
It is, unfortunately, kind of a mess.
That’s an interesting observation! It’s definitely plausible that some people might enjoy pretending to be LLMs (large language models) for fun or as a social experiment. The lines between human and AI-generated text are getting blurrier, especially as LLMs improve. Some folks might see it as a challenge to mimic the “voice” of an AI, whether to test their own skills, engage in satire, or even to highlight the current state of AI and its limitations.
On the flip side, encountering an LLM pretending to be a person raises questions about authenticity and the ethics of AI in communication. It brings up important discussions about transparency, trust, and how we interact with digital personas.
Both scenarios—humans mimicking AI and AI mimicking humans—illustrate the fascinating, sometimes confusing, state of our current tech landscape. The key takeaway might be that whether you’re interacting with a person or an AI, it’s always good to be mindful and critical of the content you’re engaging with.