I think you need both! Our underlying data should still be extremely principled and structured. But I think LLMs enable significantly better human computer int

I think you need both! Our underlying data should still be extremely principled and structured. But I think LLMs enable significantly better human computer interaction, where humans aren't interacting directly with the data in your preferred manner. For example, I've been parsing sentiment across the internet from the app I run, and using it to crunch it down into a very structured internal tracking database I have. I want to canvass as many places as possible. Using an LLM for that transformation has been stellar, and I'd casually say I'm at around 90% accuracy, which is more than sufficient for my planning & justification needs. In that sense, it should just be an additional tool in a toolbox, not a platform to bet the house on.