[buu700]

Right, that's part of what I'm getting at. There are two primary cases when LLM output tends to be bad:

1. In the context of research/querying, when unverified information from its output is falsely passed off as verified information curated by a human author. There's a big difference between "ChatGPT or some blog claims X" and "the answer is X".

2. In the context of writing/communication, when it's used to stretch a small amount of information into a relatively large amount of text. There's a big difference between using an LLM to help revise or trim down your writing, or to have it put together a first draft based on a list of detailed bullet points, and expecting it to stretch one sentence into a whole essay of greater value than the original sentence.

Those are basic misuses of the tool. It's like watching an old person try to use Google 20 years ago and concluding that search engines are slop and the only reliable way to find information is through the index of Encyclopedia Britannica.