Also, having conversations about things you don't understand with a machine, where you don't have to keep up social decorum and can ask the dumbest questions should help a lot with improving the decision making of non-technical personel
In the same way that wrong results in a search engine will not be solved or mitigated in its entirety, yes. These new generative AIs are big search engines that bring results from several content points and combine them into a single, plausible stream of words.
This sales manager didn't know that neither he - nor his customer - properly understand the product until he was specifically called out on it (by me, as it happens. At least the boss laughed). Are we expecting GPT-X to sit in on Teams meetings and ask questions like that, too? Sales manager literally did not know he needed to start asking questions about the product. Tech team were calling BS on it as soon as he reported his conversation with customer.
"It ain’t what you don’t know that gets you into trouble. It’s what you know for sure that just ain’t so.", which may (or may not) have been said by Mark Twain.
https://support.microsoft.com/en-au/office/suggestions-from-...
What happens if one (or more) of the GPT-Xs starts having hallucinations while they're busy working on this project?
> Second, even if that's not the case, the part of doing the communication can be handled by non-programmers.
I was in a meeting with a sales manager and tech team a few days ago. Sales manager had been talking to a potential customer about a product that neither he nor the customer properly understood. They both thought it would be an excellent fit for a particular (new) purpose, one for which it was not designed.
As it turned out, everyone on the tech team knew that both sales manager and customer were utterly and catastophically wrong, but it took the best part of an hour to finally convince him of this.
It's quite hard to have useful conversations about stuff if you don't actually understand it.