This is the place where tech shiny meets actual use cases, and users aren’t really good at articulating their problems. Its also a slow burn issue - you have t

This is the place where tech shiny meets actual use cases, and users aren’t really good at articulating their problems. Its also a slow burn issue - you have to use it for a while for what is obvious to users, to become obvious to people who are tech first. The primary issue is the hype and forecasted capabilities vs actual use cases. People want something they can trust as much as an authority, not as much as a consultant. If I were to put it in a single sentence? These are primarily narrative tools, being sold as factual /scientific tools. When this is pointed out, the conversation often shifts to “well people aren’t that great either”. This takes us back to how these tools are positioned and sold. They are being touted as replacements to people in the future. When this claim is pressed, we get to the start of this conversation. Frankly, people on HN aren’t pessimistic enough about what is coming down the pipe. I’ve started looking at how to work in 0 Truth scenarios, not even 0 trust. This is a view held by everyone I have spoken to in fraud, misinformation, online safety. There’s a recent paper which showed that GAI tools improved the profitability of Phishing attempts by something like 50x in some categories, and made previously loss making (in $/hour terms) targets, profitable. Schneier was one of the authors. A few days ago I found out someone I know who works in finance, had been deepfaked and their voice/image used to hawk stock tips. People were coming to their office to sue them. I love tech, but this is the dystopia part of cyberpunk being built. These are narrative tools, good enough to make people think they are experts..