> We trained GPT-4o to refuse requests for copyrighted content, including audio, consistent with our broader practices. > To account for GPT-4o’s audio modalit

> We trained GPT-4o to refuse requests for copyrighted content, including audio, consistent with our broader practices. > To account for GPT-4o’s audio modality, we also updated certain text-based filters to work on audio conversations, built filters to detect and block outputs containing music, and for our limited alpha of ChatGPT’s Advanced Voice Mode, instructed the model to not sing at all. I find the "instructed the model to not sing at all" to be slightly amusing and an interesting way to solve the problem. (Interesting in the sense that it's unimpressive) So basically they're admitting that the system has the capability to output copyrighted material, but we're trusting their internal filters and output modifiers to prevent it from leaking out. Edit: I really wish there were more focus on deep fakes and impersonation. That seems like an obvious category to put on the "Preparedness Framework Scorecard" alongside of "Biological Threats". The "Persuasion" category is the only risk that isn't "low". Reading that section of the doc didn't give me a sense that this doc was written in a fully objective manner.