alt Hacker NewsIf you conceptualize this as “there is an appropriate amount of brevity for each situation” then it would be expected for a better model to use different amounts of brevity if it gets better at determining the appropriate amount.
My view is that popular models by default output wildly excessive amounts of prose for nearly every use case, so if this changes in a new model that’s a pure win.
Replies
daveguy • yesterday at 9:40 PM
The models don't get better, except when a new one is released. Their performance depends solely on the model training before release and how well you curate the context you feed it. That's it. Contrary to popular belief these things are not intelligent.
➕ show 4 replies
> wildly excessive amounts of prose
Not just prose. I think this is part of the reason why you see ridiculous code with insane error handling and type checking even for impossible cases.