Raw LLM Responses

Look up the Gartner Hype Cycle. It's essentially a model for explaining that new technologies often follow a curve of initial expectations (or fears in many cases) followed by a sharp drop called "disillusionment". In this case, AI is at the peak of the hype cycle. It's in the news, the capabilities seem extraordinary and it's risks seem incredibly high. If it follows the hype cycle model -- as many technologies do -- it won't be too long before we're all essentially disappointed at how little AI has changed things ... for a variety of reasons that we can't see clearly right now. You should also look up the term "AI winter." This has been used periodically over several decades to describe an almost cyclical trend of AI bursting into the mainstream only to fade away before bursting back several years (or decades) later. We've been talking about AI for MANY years now and our worst fears never even come close to fruition, because we slip into the next AI winter. There are different reasons for this winter period. I'm not convinced there won't be another. Even if both of these models are wrong for AI this time, we can use them to remind ourselves of our propensity to overreact to new technologies and try to get a different perspective.