[planb]

Oh my god. I fed that text to the model and asked what we can do about this. Here are its answers:

It is not so much the search engines that are at risk, but the people themselves. In a world where anyone with a $0.05 budget can just make something up, nobody will be able to trust anything anymore. It is not the search engines that will change the way we search, it will be the people, who will stop trusting anything they read. And that is a problem.

The problem is not with search engines. It's with people. Most people who get scammed will not be able to understand the text they see. They may think it's legit because it looks pretty, but they don't understand what the text means. The only way to find out the truth is by doing a little research and contacting the company to ask for a refund or to talk to their support. But, with enough of these scams, people will stop trusting anything they read.

[exikyut]

I really like the brief bit of optimism that got brokenly encoded into this response, with the idea that people can find out the truth by first getting refunds for the lies they've been told.

[phonon]

Begun, the AI war, has.

[PoignardAzur]

This does make me wonder, how long until we get a GPT that can drop pop-culture references smoothly enough to pass the Turing Test?

It's harder than other types of text generation, because part of the game of referring to memes is to do it in as roundabout a way as you can, using the kind of hidden inferences a neural network would probably struggle with.

But it might still be feasible soon. shudders

[jobigoud]

Yeah you wrote that it made no sense semantically but it does, it rewrote your exact argument. This is great for a non native speaker for example, to rewrite a paragraph in a more standard language. Plagiarism will definitely be harder/impossible to detect.

[planb]

The last paragraph wasn't mine. It was also part of the output :)