If 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.
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.
This has absolutely nothing to do with the comment you replied to.
>The models don't get better, except when a new one is released.
My brother in Christ this entire thread is talking about the new model that was released
It was edited. Original talked about the model learning. Glad they managed to clarify. Because the models are quite literally stupid.
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