A framework for technical writing in the age of LLMs

Generated content (not just text) has given me a deeper understanding and appreciation of content that's expressing something human.

Seeing so much reasonable looking text with no clear opinion, no perspective, no point of view, no taste, no sense of what's important and what's not, not excitement or other desire to share something - it has all made the connection to another human much clearer when I read something that has those things. The same goes for images, music, and voice. I can sense someone on the other side of the work much more clearly than before.

There’s no point in AI writing if people are going to summarize it with AI or just ask the bot for spec details.

Just give bullet points and technical specs.

To me it fundamentally does not make sense to publish texts generated by an LLM. These tools are available to everyone, so readers can just use the LLM directly. When I'm writing a blog post, it's to share my own perspective, ideas, experiences, and that's something which an LLM can't do.

That's not to say I don't use LLMs at all; I don't use them for original writing though, but rather as a copy editor, helping with improving expressions, getting language and grammar right, etc.

I have publicly documented my usage of AI for writing on my blog: https://www.morling.dev/ai/. I wished more folks would do that, as I think transparency is key here, every reader should always know whether they'rea reading a text written by a human or by a machine.