When training data runs out, they usefulness will diminish quickly. They will still be useful for searching documents etc, but I guess they are not good at that even now.
When training data runs out, they usefulness will diminish quickly. They will still be useful for searching documents etc, but I guess they are not good at that even now.
When training data runs out, their usefulness will stop growing quickly. Why should their usefulness diminish?
Because they would not be up-to date with programming languages, tools, best practices etc.
May be there is some way to keep the model up-to date in less dramatic ways. But I think something gotto give..
I mean, even now the vibe coded stuff is reprehensible.