Live data from Hacker News

ChatGPT unexpectedly began speaking in a user's cloned voice during testing

arstechnica.com

1–10 of 164 posts

Re: ChatGPT unexpectedly began speaking in a user's cloned voice during testing

#3
post #2

This looks extremely similar to what often happened with chat implementations in 3 and 3.5 era: GPT world generate it's answer and then go on and generate the next input by the user as well.

It is a bit more uncanny when it uses your voice though.

Re: ChatGPT unexpectedly began speaking in a user's cloned voice during testing

#5
Many didn't get it last time that this model is a generic voice to voice model, it doesn't have a set of voices it can do it can do all sorts of voices and background noises.

That makes it entirely different from text to speech models we had previously, this model when uncensored could do all sorts of voice acting etc for games. But this example shows why they try to neuter it so hard, because it would spook a ton of people in its raw state.

Re: ChatGPT unexpectedly began speaking in a user's cloned voice during testing

#7
This problem appeared during pre-release testing and has since been solved post-generation using an output classifier that verifies responses, according to the system card release. It was predictable that someone would spin this into a black mirror-esque clickbait story.

Re: ChatGPT unexpectedly began speaking in a user's cloned voice during testing

#8

This problem appeared during pre-release testing and has since been solved post-generation using an output classifier that verifies responses, according to the system card release. It was predictable that someone would spin this into a black mirror-esque clickbait story.

The capability is real even if it wont happen with current model censorship. Just have to wait until we get an open source version, I bet Meta is working on one right now.

Re: ChatGPT unexpectedly began speaking in a user's cloned voice during testing

#9
post #2

This looks extremely similar to what often happened with chat implementations in 3 and 3.5 era: GPT world generate it's answer and then go on and generate the next input by the user as well.

I want to know, if LLMs were unleashed on simulating real-world people, how well could they predict everything they are going to say?

In battles or business, how well would LLMs predict what people will do?

Seems to me that a billion parameters can model decision making by a group of humans pretty well. Especially strategies to psych them out like anticipating everything they try ahead of time, and showing them it’s hopeless (demoralizing) and they may as well turn to using a random oracle than use their own strategies.

Would any AI fans who don’t seem to mind anything AI does, be willing to volunteer for this experiment on the Internet?

Post reply on HN