There’s a massive amount of untapped information sitting inside AI conversations that nobody has figured out how to efficiently extract yet. Millions of people are now talking to AI in depth, and some fraction of those conversations are going to contain genuinely novel observations, unusual expertise, connections nobody has made before, or just really good ways of thinking about a problem. Currently, most of that just stays isolated in abandoned chat windows where it may or may not ever be seen for what it is. What if we had a system that could identify significant cognitive events inside conversations and rate/catalog them? I’m talking about building something that can sift through billions of human-AI interactions looking for the moments where somebody actually discovered something interesting. Some random person having a conversation at 2 AM might stumble into an idea that turns out to be genuinely important. Something that changes how we look at the world. AI could become a planet scale sensor for human reasoning, helping identify what humans have figured out that nobody has contextualized and realized the value of yet. The potential is staggering. submitted by /u/CrunchWrapSuplex
Originally posted by u/CrunchWrapSuplex on r/ArtificialInteligence