For me it’s as useful as online encyclopedias before Wikipedia. I grew up in third world so we didn’t exactly have nice public libraries with all the knowledge

For me it’s as useful as online encyclopedias before Wikipedia. I grew up in third world so we didn’t exactly have nice public libraries with all the knowledge in the world. So, as a kid I’d do my homework and then spend hours just reading as much as I could from those encyclopedia Britannia and others. Anyway I think chatgpt is cool but the issue with these at scale is there’s no way to actually verify or vet its results. It’s trained on some data and exists within those confines. If it doesn’t know it makes up stuff even when you’ve provided a lot of information in the context. Now I’m not doing some meme tier crap like make a function that gives me a color hex code. I’m doing some more complex Postgres debugging and thought I’d use chat gpt and literally getting recommended function names that exist in BigQuery and not in Postgres. Imo, these tools will find their niche in ultra specialized workflows where there isn’t much requirement for intuition or judgment, and only raw output is needed. Making data for testing purposes or helping to write scaffolding for common lcd programming tasks, coming up with some headline text or turning a Charles Dickens novel into a ten minute story. Low risk but huge time sink type of work.