Useful for who? Who is the customer that wants this? Especially when is output is untrustworthy?
I guess generating nonsensical bullshit is 'useful' to those who like sending spam emails and enhancing their scams across the internet. Makes it easier to not rely on 'GPT' search engines or silly use-cases like generated cover letters at all.
GPTs cannot reason or explain their own output. Even worse as it is often confident about giving the wrong answers. It is a another solution in search of a problem.
I get real value out of GPT-based models for software development. I've had ChatGPT answer questions about particular APIs I don't use often, and Copilot has made it faster to rapidly iterate on things because I don't have to type out boilerplate.
Early on I was pretty dismissive about both, and thought they were at best a crutch for junior engineers. But I've come to appreciate that they have the capacity to remember many more APIs and idioms than I do, so when I'm venturing outside of my usual languages/APIs, that's where they really provide value.
As SE you can use it as a dedicated junior doing tedious snippets and small programs for you. Not always a hit but often right or at least outline it right is enough to collect value.
And with Google getting worst results by the day and often not finding anything, these feel like a step ahead.
I guess generating nonsensical bullshit is 'useful' to those who like sending spam emails and enhancing their scams across the internet. Makes it easier to not rely on 'GPT' search engines or silly use-cases like generated cover letters at all.
GPTs cannot reason or explain their own output. Even worse as it is often confident about giving the wrong answers. It is a another solution in search of a problem.