It's not just LLMs but all generative models that rely on extreme amounts of training data. Text but also images, video, speech, music. And it makes sense that

It's not just LLMs but all generative models that rely on extreme amounts of training data. Text but also images, video, speech, music. And it makes sense that LLMs were the ones to trigger the hype. AI in general has been making steady progress but most usecases are really hard to explain to layman. Give them a chatbot and they naturally understand what's happening. The only thing I'm seeing is that people are using them wrong. They're using them like all-seeing oracles, which is exacerbated by the confidence with which LLMs provide their answers, and the innate human idea that "it's a computer so it must be right". But knowledge isn't really where LLMs shine, at least not without search engine integrations. It's rather generation, summarisation, translation (with context sensitivity), rewriting styles etc.