| That's the problem with AI: you can't trust the output. Look at how quickly after diffusion models released that "looks like AI" became an insult. An LLM th

| That's the problem with AI: you can't trust the output. Look at how quickly after diffusion models released that "looks like AI" became an insult. An LLM that accelerates the work of a domain expert makes sense to me. A team of post-doc infectious disease researchers using an LLM continuously trained on up-to-date medical research papers and prompted as a sort of digital Watson to their collective Sherlock works because all humans involved are highly trained to filter out the nonsense, the hallucinations, the bullshit. And the LLM doesn't have to be crafted to be obsequious and PR friendly. But there aren't enough high-level domain experts like that to build a unicorn on. So instead, everyone decided to take these LLMs and push them on the general public. And you might think I'm going to say the general public isn't capable of learning the domain enough to separate the wheat from the chaff, but it's more that they're not willing to. And general purpose startups are building user interfaces where they either expect them to (best case scenario) or pretending they won't have to (worst case and much more common scenario). Unless that UX problem is solved, there are going to be some very unhappy consumers going forward.