@Gargron For some queries, I ask #ChatGPT for references to be completely sure of the results. I feel that this should be the default feature. But then large language models do not work that way.

@Gargron if you write code, you probably look for answers on stack overflow. When you find something that looks fine, you try it. The same applies for #chatgpt, but it takes a few seconds to have an answer instead of digging. Moreover, if you post a question on SO, you will probably be answered badly, verbally assaulted; it just does not happen with chatgpt.

@Gargron Reminds me of Cuil Theory.

http://cuiltheory.wikidot.com/what-is-cuil-theory

@Gargron This is so you can approach the result with an open mind. 😌

I thought the source was entire Reddit, StackExchange and Wikipedia.
@Gargron

@Gargron And when #gpt3 fails, it fails in a _really_, _very_ _awful_ way(s). Most obvious are the responses where output is plain non sense. They model is only a good as the data fed to it, and sometimes, even that isn’t sufficient. It’s a fun advancement for sure. More work remains to be done.

@Gargron
Someone needs to teach it how to cite its sources.

@Gargron wonkypedia?