Raw LLM Responses

I listened to this C-SPAN broadcast and its not what the posters in this thread think its about. It's regulation of generative AI that we're way behind in implementing. I posted some [research from a RAND report](https://www.rand.org/pubs/perspectives/PEA2679-1.html) that came out recently. Let me copy and paste a scenario that was mentioned regarding generative AI. >"Imagine interacting with someone online who shares an interest with you: a hobby, a sports team, whatever. To all appearances, they are authentic: They post about the big game last week or the restaurant they went to with their spouse, and they make comments in response to others that make sense. They do not just sound like native U.S. English speakers but use regional variations, such as “Pittsburghese” or Southern American English. They get jokes and U.S. cultural references, and they post pictures of their life: camping with the kids, their dog lying on the living room rug, a birthday party." >"This online friend does all this, but they also share their political opinions from time to time. Not enough to sound like a one-trick pony, but enough to make clear where they fall on a given issue. And it is not just one or two people you know online: It is hundreds, thousands, or even millions. In fact, they all are AI-generated personae and represent a deliberate attempt to influence public opinion through social media manipulation." The 2024 Presidential election is on the horizon and there's a lot at stake. The advances in generative AI (text, speech, video) is moving fast and its getting difficult to detect what's real and what is not. Here's the threat: >Instead, using existing technology, U.S. adversaries could build digital infrastructure to manufacture realistic but inauthentic (fake) content that could fuel similarly realistic but inauthentic online human personae: accounts on Twitter, Reddit, or Facebook that seem real but are synthetic constructs, fueled by generative AI and advanci