Comment by Spooky23
3 hours ago
AI writing is fine in a constrained space.
If you create a strict template, like a PowerPoint deck or tightly formatted report, the LM does a really, really good job. at populating that template with good data.
If you give it an open license to just create stuff, it’s always terrible for the general audience — but it may be fine for you or a small group that is familiar with the subject.
I compare it to fast food. An uneducated teenager is quite capable of putting together a McDonald’s lunch within the constraints of the system. If you let the kid loose in a kitchen designed for trained chefs, the result would not be a good lunch.
> but it may be fine for you or a small group that is familiar with the subject.
One of the problems with LLM writing is that the "small group" is very often only itself, maybe including the prompter. Details of the prompts or implementation or internal chain-of-thought nits leak out into prose, divorced from context.
Many READMEs are now littered with proud declarations of the removal of Foo, with any explanation purged with it. It exists in this project, too. A header of one graph is "Where each fact came from, decoded out of the bitmask." Why should the audience care about this implementation detail at this location? Just label it "Sources" and move on.