LLM etiquette

Or, how to treat other humans as such, in an age of generated text. Fact check Treat every statement in the LLM response as something which needs verifying. The LLM is implemented to produce a “reasonable” response to your query, not to fact check them, look for falsified data, or ignore bad interpretations. That job is yours. And if you don’t do it, people will naturally ascribe any faults to you, not the LLM. If you don’t want to be known as a liar, do your due diligence before repeating something produced by a machine. LLMs are great tools for researching a topic, but no amount of flagship models and clever prompts is going to remove the need for thinking. Unless, of course, you’re suffering from AI mania. In that case I’m truly sorry, but I’m also not going to read your slop. Cite Sometimes, posting the LLM response verbatim is warranted. Obviously when discussing LLMs, but also to inform readers of sources of your own bias. Since LLMs aren’t deterministic, it’s important to…