zlacker

>>isp+(OP)
Is there any indication that they will get the car? Getting a chatbot to say "legally binding" probably doesn't make it so. Just like changing the HTML of the catalog to edit prices doesn't entitle you to anything.

>>remram+m9
No. The author is demonstrating a concept - that there are many easy inroads to twisting ChatGPT around your finger. It was very tongue in cheek - a joke - the author has no true expectation of getting the car for $1.

>>roland+Md
But why is it so much different from "Inspect Element" and then changing website content to whatever you please?

I guess why is there an expectation that GPT must be not trickable by bad actors to produce whatever content.

What matters is that it would give good content to honest customers.

>>mewpme+rg
> But why is it so much different from "Inspect Element" and then changing website content to whatever you please?

For the same reasons forging a contract is different from getting an idiot to sign one.

>>ceejay+9h
You just add a disclaimer that none of what the bot says is legally binding, and it's an aid tool for finding the information that you are looking for. What's the problem with that?

>>mewpme+vh
Do we want to turn customer service over to "this might all be bullshit" generators? Imagine coming into the showroom, agreeing on a price for a car, doing all the paperwork, and having them tell you that wasn't legally binding because of some small print somewhere?

>>ceejay+ri
I think that's a very simplified view of all of it.

Customer service has to be different levels of help tools. And current AI tools must be tested first in order for us to be able to improve them.

You have limited resources for Customer Support, so it's good to have filtering systems in terms of Docs, Forms, Search, GPT in front of the actual Customer Support.

To many questions a person will find an answer much faster from the documentation/manual itself than calling support. To many other types of questions it's possible LLM will be able to respond much more quickly and efficiently.

It's just a matter of providing this optimal pathway.

You don't have to think of Customer Support LLM as the same thing as a final Sales Agent.

You can think of it as a tool, that should have specialized information fed into it using embeddings or training and will be able to spend infinite time with you, to answer any stupid questions that you might have. I find I have much better experience with Chatbots, as I can drill deep into the "why's" which might otherwise annoy a real person.